Unnamed: 0.1 int64 0 41k | Unnamed: 0 int64 0 41k | author stringlengths 9 1.39k | id stringlengths 11 18 | summary stringlengths 25 3.66k | title stringlengths 4 258 | year int64 1.99k 2.02k | arxiv_url stringlengths 32 39 | info stringlengths 523 3.18k | embeddings stringlengths 16.9k 17.1k |
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40,000 | 40,000 | ['Matias Valdenegro-Toro'] | 1709.02600v1 | Forward-looking sonar can capture high resolution images of underwater
scenes, but their interpretation is complex. Generic object detection in such
images has not been solved, specially in cases of small and unknown objects. In
comparison, detection proposal algorithms have produced top performing object
detectors in ... | Objectness Scoring and Detection Proposals in Forward-Looking Sonar
Images with Convolutional Neural Networks | 2,017 | http://arxiv.org/pdf/1709.02600v1 | Title Objectness Scoring Detection Proposals ForwardLooking Sonar Images Convolutional Neural Networks Summary Forwardlooking sonar capture high resolution image underwater scene interpretation complex Generic object detection image solved specially case small unknown object comparison detection proposal algorithm prod... | [0.014379189349710941, 0.02057255618274212, 0.0012031858786940575, -0.0007030762499198318, -0.011178393848240376, -0.0213409923017025, 0.03789409622550011, 0.015624464489519596, -0.06897779554128647, -0.01621934026479721, 0.012373394332826138, 0.029087096452713013, 0.01684228517115116, 0.05610542371869087, 0.0120662879... |
40,001 | 40,001 | ['Longhao Yuan', 'Qibin Zhao', 'Jianting Cao'] | 1709.02641v2 | In this paper, we aim at the completion problem of high order tensor data
with missing entries. The existing tensor factorization and completion methods
suffer from the curse of dimensionality when the order of tensor N>>3. To
overcome this problem, we propose an efficient algorithm called TT-WOPT
(Tensor-train Weighte... | Completion of High Order Tensor Data with Missing Entries via
Tensor-train Decomposition | 2,017 | http://arxiv.org/pdf/1709.02641v2 | Title Completion High Order Tensor Data Missing Entries via Tensortrain Decomposition Summary paper aim completion problem high order tensor data missing entry existing tensor factorization completion method suffer curse dimensionality order tensor N3 overcome problem propose efficient algorithm called TTWOPT Tensortra... | [-0.00655018724501133, 0.061904966831207275, 0.005953622981905937, 0.022376470267772675, 0.03647333011031151, 0.04813166335225105, 0.018665460869669914, 0.0472293496131897, 0.005477010738104582, 0.025227874517440796, 0.0392460897564888, -0.00252786953933537, 0.02775823324918747, -0.016119323670864105, -0.00409899838268... |
40,002 | 40,002 | ['Jonathan K. George', 'Cesare Soci', 'Volker J. Sorger'] | 1709.02684v1 | The ability to rapidly identify symmetry and anti-symmetry is an essential
attribute of intelligence. Symmetry perception is a central process in human
vision and may be key to human 3D visualization. While previous work in
understanding neuron symmetry perception has concentrated on the neuron as an
integrator, here w... | Identifying Mirror Symmetry Density with Delay in Spiking Neural
Networks | 2,017 | http://arxiv.org/pdf/1709.02684v1 | Title Identifying Mirror Symmetry Density Delay Spiking Neural Networks Summary ability rapidly identify symmetry antisymmetry essential attribute intelligence Symmetry perception central process human vision may key human 3D visualization previous work understanding neuron symmetry perception concentrated neuron integ... | [-0.014294404536485672, 0.02733149379491806, -0.05121733993291855, 0.04638233408331871, -0.04314547777175903, -0.01728341542184353, 0.03942568600177765, -0.03591369464993477, -0.03233012184500694, -0.010337748564779758, -0.006686774548143148, 0.015910347923636436, 0.032858580350875854, 0.047199904918670654, 0.006355310... |
40,003 | 40,003 | ['Bolin Chen', 'Haodong Li', 'Weiqi Luo'] | 1709.02908v1 | In recent years, image forensics has attracted more and more attention, and
many forensic methods have been proposed for identifying image processing
operations. Up to now, most existing methods are based on hand crafted
features, and just one specific operation is considered in their methods. In
many forensic scenario... | Image Processing Operations Identification via Convolutional Neural
Network | 2,017 | http://arxiv.org/pdf/1709.02908v1 | Title Image Processing Operations Identification via Convolutional Neural Network Summary recent year image forensics attracted attention many forensic method proposed identifying image processing operation existing method based hand crafted feature one specific operation considered method many forensic scenario howeve... | [0.024219252169132233, 0.03963756933808327, 0.001997131621465087, 0.08832915127277374, -0.083305723965168, -0.020245660096406937, 0.053166408091783524, 0.035146430134773254, -0.040729451924562454, -0.04461082071065903, 0.01694391667842865, 0.029984932392835617, -0.01209877710789442, 0.04770343378186226, 0.0679127573966... |
40,004 | 40,004 | ['Vahid Moosavi'] | 1709.02939v2 | Study of urban form is an important area of research in urban planning/design
that contributes to our understanding of how cities function and evolve.
However, classical approaches are based on very limited observations and
inconsistent methods. As an alternative, availability of massive urban data
collections such as ... | Urban morphology meets deep learning: Exploring urban forms in one
million cities, town and villages across the planet | 2,017 | http://arxiv.org/pdf/1709.02939v2 | Title Urban morphology meet deep learning Exploring urban form one million city town village across planet Summary Study urban form important area research urban planningdesign contributes understanding city function evolve However classical approach based limited observation inconsistent method alternative availabilit... | [-0.027936942875385284, 0.06350010633468628, -0.03483256697654724, 0.052208688110113144, -0.007167154457420111, 0.014148006215691566, 0.034849949181079865, -0.0018171319970861077, -0.05436655879020691, 0.0569876991212368, 0.016334347426891327, -0.021325871348381042, 0.03925818204879761, 0.06071843206882477, 0.042026434... |
40,005 | 40,005 | ['Lee Clement', 'Jonathan Kelly'] | 1709.03009v3 | Direct visual localization has recently enjoyed a resurgence in popularity
with the increasing availability of cheap mobile computing power. The
competitive accuracy and robustness of these algorithms compared to
state-of-the-art feature-based methods, as well as their natural ability to
yield dense maps, makes them an... | How to Train a CAT: Learning Canonical Appearance Transformations for
Direct Visual Localization Under Illumination Change | 2,017 | http://arxiv.org/pdf/1709.03009v3 | Title Train CAT Learning Canonical Appearance Transformations Direct Visual Localization Illumination Change Summary Direct visual localization recently enjoyed resurgence popularity increasing availability cheap mobile computing power competitive accuracy robustness algorithm compared stateoftheart featurebased method... | [0.02667866088449955, 0.01749633066356182, 0.02386634424328804, -0.0207681767642498, 0.019892631098628044, 0.006528015248477459, 0.03292642533779144, -0.046303845942020416, -0.05786658823490143, -0.005021236836910248, 0.010069887153804302, 0.08978404849767685, 0.02749774046242237, 0.01221213024109602, 0.022573037073016... |
40,006 | 40,006 | ['Mohammadhassan Izadyyazdanabadi', 'Evgenii Belykh', 'Michael Mooney', 'Nikolay Martirosyan', 'Jennifer Eschbacher', 'Peter Nakaji', 'Mark C. Preul', 'Yezhou Yang'] | 1709.03028v2 | Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence
technology undergoing assessment for applications in brain tumor surgery.
Despite its promising potential, interpreting the unfamiliar gray tone images
of fluorescent stains can be difficult. Many of the CLE images can be distorted
by motion, extre... | Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and
Unsupervised Semantic Localization for Intraoperative CLE Images | 2,017 | http://arxiv.org/pdf/1709.03028v2 | Title Convolutional Neural Networks Ensemble Modeling FineTuning Unsupervised Semantic Localization Intraoperative CLE Images Summary Confocal laser endomicroscopy CLE advanced optical fluorescence technology undergoing assessment application brain tumor surgery Despite promising potential interpreting unfamiliar gray ... | [0.04248988628387451, -0.005658790934830904, -0.017444990575313568, -0.017988912761211395, 0.008890653029084206, -0.0004819936293642968, 0.04207966476678848, 0.027551913633942604, -0.04018073156476021, 0.017306385561823845, -0.009389365091919899, 0.006701888516545296, -0.01197766326367855, 0.049384765326976776, 0.01301... |
40,007 | 40,007 | ['Inkyu Sa', 'Zetao Chen', 'Marija Popovic', 'Raghav Khanna', 'Frank Liebisch', 'Juan Nieto', 'Roland Siegwart'] | 1709.03329v1 | Selective weed treatment is a critical step in autonomous crop management as
related to crop health and yield. However, a key challenge is reliable, and
accurate weed detection to minimize damage to surrounding plants. In this
paper, we present an approach for dense semantic weed classification with
multispectral image... | weedNet: Dense Semantic Weed Classification Using Multispectral Images
and MAV for Smart Farming | 2,017 | http://arxiv.org/pdf/1709.03329v1 | Title weedNet Dense Semantic Weed Classification Using Multispectral Images MAV Smart Farming Summary Selective weed treatment critical step autonomous crop management related crop health yield However key challenge reliable accurate weed detection minimize damage surrounding plant paper present approach dense semantic... | [-0.02976313978433609, 0.04136642813682556, 0.014644714072346687, 0.07337573915719986, 0.00779292918741703, -0.03792330622673035, 0.020145835354924202, -0.016215141862630844, -0.04436703398823738, 0.002667581895366311, 0.07231994718313217, 0.11327512562274933, 0.011554470285773277, 0.0473286509513855, -0.00477189011871... |
40,008 | 40,008 | ['Yusuke Matsui', 'Keisuke Ogaki', 'Toshihiko Yamasaki', 'Kiyoharu Aizawa'] | 1709.03708v1 | Data clustering is a fundamental operation in data analysis. For handling
large-scale data, the standard k-means clustering method is not only slow, but
also memory-inefficient. We propose an efficient clustering method for
billion-scale feature vectors, called PQk-means. By first compressing input
vectors into short p... | PQk-means: Billion-scale Clustering for Product-quantized Codes | 2,017 | http://arxiv.org/pdf/1709.03708v1 | Title PQkmeans Billionscale Clustering Productquantized Codes Summary Data clustering fundamental operation data analysis handling largescale data standard kmeans clustering method slow also memoryinefficient propose efficient clustering method billionscale feature vector called PQkmeans first compressing input vector ... | [-0.027158638462424278, -0.001886063371784985, -0.02646647021174431, 0.03242569416761398, 0.00999858696013689, 0.005538493860512972, 0.051020681858062744, 0.05013841763138771, -0.006663170177489519, -0.010030287317931652, -0.02554764412343502, 0.018543263897299767, -0.012302497401833534, 0.05603523179888725, 0.00385757... |
40,009 | 40,009 | ['Ehsan Arbabi', 'Mohammad Shabani', 'Ali Yarigholi'] | 1709.03717v1 | Human eye gaze detection plays an important role in various fields, including
human-computer interaction, virtual reality and cognitive science. Although
different relatively accurate systems of eye tracking and gaze detection exist,
they are usually either too expensive to be bought for low cost applications or
too co... | A low cost non-wearable gaze detection system based on infrared image
processing | 2,017 | http://arxiv.org/pdf/1709.03717v1 | Title low cost nonwearable gaze detection system based infrared image processing Summary Human eye gaze detection play important role various field including humancomputer interaction virtual reality cognitive science Although different relatively accurate system eye tracking gaze detection exist usually either expensi... | [0.01138552650809288, -0.02665131166577339, -0.005508855450898409, 0.01347002200782299, 0.04258520528674126, 0.003733611200004816, 0.0457954928278923, 0.045799192041158676, 0.06906022131443024, -0.02005365863442421, -0.010182064026594162, 0.01842784322798252, 0.0598214715719223, -0.002612842945381999, 0.044238351285457... |
40,010 | 40,010 | ['Jens Grubert', 'Yuta Itoh', 'Kenneth Moser', 'J. Edward Swan II'] | 1709.04299v1 | Optical see-through head-mounted displays (OST HMDs) are a major output
medium for Augmented Reality, which have seen significant growth in popularity
and usage among the general public due to the growing release of
consumer-oriented models, such as the Microsoft Hololens. Unlike Virtual
Reality headsets, OST HMDs inhe... | A Survey of Calibration Methods for Optical See-Through Head-Mounted
Displays | 2,017 | http://arxiv.org/pdf/1709.04299v1 | Title Survey Calibration Methods Optical SeeThrough HeadMounted Displays Summary Optical seethrough headmounted display OST HMDs major output medium Augmented Reality seen significant growth popularity usage among general public due growing release consumeroriented model Microsoft Hololens Unlike Virtual Reality headse... | [0.00015164853539317846, -0.059405285865068436, -0.006093233823776245, -0.022500669583678246, 0.014659097418189049, -0.009710724465548992, 0.04641931504011154, 0.04858575388789177, 0.01384777668863535, -0.010450326837599277, 0.006658805068582296, 0.030017690733075142, 0.09519132226705551, 0.006702604703605175, 0.037597... |
40,011 | 40,011 | ['Keunwoo Choi', 'György Fazekas', 'Kyunghyun Cho', 'Mark Sandler'] | 1709.04396v1 | Following their success in Computer Vision and other areas, deep learning
techniques have recently become widely adopted in Music Information Retrieval
(MIR) research. However, the majority of works aim to adopt and assess methods
that have been shown to be effective in other domains, while there is still a
great need ... | A Tutorial on Deep Learning for Music Information Retrieval | 2,017 | http://arxiv.org/pdf/1709.04396v1 | Title Tutorial Deep Learning Music Information Retrieval Summary Following success Computer Vision area deep learning technique recently become widely adopted Music Information Retrieval MIR research However majority work aim adopt ass method shown effective domain still great need original research focusing music prim... | [-0.008371132425963879, 0.010275639593601227, -0.024574274197220802, 0.06962402164936066, -0.029305825009942055, -0.024392392486333847, 0.05027279630303383, 0.010751094669103622, -0.03599325194954872, 0.06510253995656967, -0.06344833970069885, 0.021961688995361328, 0.024064719676971436, -0.013326062820851803, 0.0258610... |
40,012 | 40,012 | ['Gang Cao', 'Lihui Huang', 'Huawei Tian', 'Xianglin Huang', 'Yongbin Wang', 'Ruicong Zhi'] | 1709.04427v1 | As an efficient image contrast enhancement (CE) tool, adaptive gamma
correction (AGC) was previously proposed by relating gamma parameter with
cumulative distribution function (CDF) of the pixel gray levels within an
image. ACG deals well with most dimmed images, but fails for globally bright
images and the dimmed imag... | Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive
Gamma Correction | 2,017 | http://arxiv.org/pdf/1709.04427v1 | Title Contrast Enhancement BrightnessDistorted Images Improved Adaptive Gamma Correction Summary efficient image contrast enhancement CE tool adaptive gamma correction AGC previously proposed relating gamma parameter cumulative distribution function CDF pixel gray level within image ACG deal well dimmed image fails glo... | [0.012639792636036873, -0.04282405227422714, -0.006288479547947645, 0.025650743395090103, -0.01677328534424305, -0.01656552031636238, 0.007616981863975525, 0.04419022426009178, -0.023107487708330154, -0.02159622684121132, 0.014099695719778538, 0.01588980294764042, 0.06888076663017273, 0.024317696690559387, 0.0021110433... |
40,013 | 40,013 | ['Jinhui Yu', 'Kailin Wu', 'Kang Zhang', 'Xianjun Sam Zheng'] | 1709.04550v1 | Negative afterimage appears in our vision when we shift our gaze from an over
stimulated original image to a new area with a uniform color. The colors of
negative afterimages differ from the old stimulating colors in the original
image when the color in the new area is either neutral or chromatic. The
interaction betwe... | A Computational Model of Afterimages based on Simultaneous and
Successive Contrasts | 2,017 | http://arxiv.org/pdf/1709.04550v1 | Title Computational Model Afterimages based Simultaneous Successive Contrasts Summary Negative afterimage appears vision shift gaze stimulated original image new area uniform color color negative afterimage differ old stimulating color original image color new area either neutral chromatic interaction stimulating color... | [0.013566580601036549, -0.03147629648447037, -0.018311213701963425, -0.011075807735323906, -0.013912832364439964, -0.021929416805505753, 0.03995669260621071, 0.041954923421144485, -0.017383325845003128, -0.05265364050865173, 0.009603695943951607, -0.030416786670684814, 0.05272674560546875, 0.013308052904903889, -0.0020... |
40,014 | 40,014 | ['Gang Cao', 'Huawei Tian', 'Lifang Yu', 'Xianglin Huang', 'Yongbin Wang'] | 1709.04583v2 | In this paper, we propose a general framework to accelerate the universal
histogram-based image contrast enhancement (CE) algorithms. Both spatial and
gray-level selective down- sampling of digital images are adopted to decrease
computational cost, while the visual quality of enhanced images is still
preserved and with... | Acceleration of Histogram-Based Contrast Enhancement via Selective
Downsampling | 2,017 | http://arxiv.org/pdf/1709.04583v2 | Title Acceleration HistogramBased Contrast Enhancement via Selective Downsampling Summary paper propose general framework accelerate universal histogrambased image contrast enhancement CE algorithm spatial graylevel selective sampling digital image adopted decrease computational cost visual quality enhanced image still... | [-0.005017981864511967, -0.009739743545651436, -0.02532147243618965, 0.010956211015582085, -0.026510393247008324, -0.019651224836707115, 0.03806670382618904, 0.06337982416152954, 0.005017078015953302, 0.005570216104388237, -0.004670033231377602, 0.01266915537416935, 0.04494425654411316, -0.0015616429736837745, -0.00325... |
40,015 | 40,015 | ['Yair Meidan', 'Michael Bohadana', 'Asaf Shabtai', 'Martin Ochoa', 'Nils Ole Tippenhauer', 'Juan Davis Guarnizo', 'Yuval Elovici'] | 1709.04647v1 | Security experts have demonstrated numerous risks imposed by Internet of
Things (IoT) devices on organizations. Due to the widespread adoption of such
devices, their diversity, standardization obstacles, and inherent mobility,
organizations require an intelligent mechanism capable of automatically
detecting suspicious ... | Detection of Unauthorized IoT Devices Using Machine Learning Techniques | 2,017 | http://arxiv.org/pdf/1709.04647v1 | Title Detection Unauthorized IoT Devices Using Machine Learning Techniques Summary Security expert demonstrated numerous risk imposed Internet Things IoT device organization Due widespread adoption device diversity standardization obstacle inherent mobility organization require intelligent mechanism capable automatical... | [-0.007341313641518354, -0.030351441353559494, 0.014767255634069443, -0.02797967940568924, -0.052135247737169266, -0.020744990557432175, 0.06112641468644142, -0.02749519981443882, 0.022707629948854446, -0.08541325479745865, 0.055547744035720825, 0.09376836568117142, -0.010442719794809818, 0.012491927482187748, 0.023743... |
40,016 | 40,016 | ['Tomas Werner'] | 1709.04989v1 | A popular class of algorithms to optimize the dual LP relaxation of the
discrete energy minimization problem (a.k.a.\ MAP inference in graphical models
or valued constraint satisfaction) are convergent message-passing algorithms,
such as max-sum diffusion, TRW-S, MPLP and SRMP. These algorithms are
successful in practi... | On Coordinate Minimization of Convex Piecewise-Affine Functions | 2,017 | http://arxiv.org/pdf/1709.04989v1 | Title Coordinate Minimization Convex PiecewiseAffine Functions Summary popular class algorithm optimize dual LP relaxation discrete energy minimization problem aka MAP inference graphical model valued constraint satisfaction convergent messagepassing algorithm maxsum diffusion TRWS MPLP SRMP algorithm successful practi... | [-0.05573493242263794, 0.06948114931583405, -0.006658020429313183, 0.01204010657966137, -0.017963901162147522, 0.0035717422142624855, 0.02637016773223877, 0.07118090242147446, -0.03260357677936554, -0.020352741703391075, 0.06653565913438797, 0.008843507617712021, 0.013878255151212215, 0.02177436277270317, 0.02258467674... |
40,017 | 40,017 | ['Frank Ong', 'Joseph Cheng', 'Michael Lustig'] | 1709.05374v1 | Purpose: To develop a general phase regularized image reconstruction method,
with applications to partial Fourier imaging, water-fat imaging and flow
imaging.
Theory and Methods: The problem of enforcing phase constraints in
reconstruction was studied under a regularized inverse problem framework. A
general phase reg... | General Phase Regularized Reconstruction using Phase Cycling | 2,017 | http://arxiv.org/pdf/1709.05374v1 | Title General Phase Regularized Reconstruction using Phase Cycling Summary Purpose develop general phase regularized image reconstruction method application partial Fourier imaging waterfat imaging flow imaging Theory Methods problem enforcing phase constraint reconstruction studied regularized inverse problem framewor... | [-0.01728726550936699, 0.025296200066804886, -0.01799841970205307, 0.006351366173475981, -0.041132379323244095, -0.01210771407932043, 0.056997694075107574, 0.05260103940963745, -0.0845332220196724, 0.05212009325623512, 0.036407358944416046, -0.05812152102589607, 0.0709996446967125, 0.01295395940542221, 0.03657591715455... |
40,018 | 40,018 | ['Noriaki Hirose', 'Amir Sadeghian', 'Patrick Goebel', 'Silvio Savarese'] | 1709.05439v1 | It is important for robots to be able to decide whether they can go through a
space or not, as they navigate through a dynamic environment. This capability
can help them avoid injury or serious damage, e.g., as a result of running into
people and obstacles, getting stuck, or falling off an edge. To this end, we
propose... | To Go or Not To Go? A Near Unsupervised Learning Approach For Robot
Navigation | 2,017 | http://arxiv.org/pdf/1709.05439v1 | Title Go Go Near Unsupervised Learning Approach Robot Navigation Summary important robot able decide whether go space navigate dynamic environment capability help avoid injury serious damage eg result running people obstacle getting stuck falling edge end propose unsupervised nearunsupervised method based Generative Ad... | [0.019520118832588196, 0.021193349733948708, -0.017262451350688934, -0.028347130864858627, 0.000363168801413849, 0.018181296065449715, -0.0018212900031358004, -0.022654937580227852, 0.0051087504252791405, 0.005848159082233906, -0.010595983825623989, 0.03451446071267128, -0.026135621592402458, 0.0663655698299408, 0.0502... |
40,019 | 40,019 | ['Thomas Probst', 'Kevis-Kokitsi Maninis', 'Ajad Chhatkuli', 'Mouloud Ourak', 'Emmanuel Vander Poorten', 'Luc Van Gool'] | 1709.05665v2 | Computer vision and robotics are being increasingly applied in medical
interventions. Especially in interventions where extreme precision is required
they could make a difference. One such application is robot-assisted retinal
microsurgery. In recent works, such interventions are conducted under a
stereo-microscope, an... | Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted
Retinal Surgery | 2,017 | http://arxiv.org/pdf/1709.05665v2 | Title Automatic Tool Landmark Detection Stereo Vision RobotAssisted Retinal Surgery Summary Computer vision robotics increasingly applied medical intervention Especially intervention extreme precision required could make difference One application robotassisted retinal microsurgery recent work intervention conducted st... | [0.027918286621570587, 0.009046618826687336, 0.0172874853014946, -0.03908867761492729, -0.026824718341231346, 0.0012652423465624452, 0.030931226909160614, 0.0014197379350662231, -0.04420815780758858, -0.01764783263206482, 0.011565513908863068, 0.050542376935482025, 0.045200929045677185, 0.11579374969005585, -0.00711864... |
40,020 | 40,020 | ['Mohammad Reza Loghmani', 'Barbara Caputo', 'Markus Vincze'] | 1709.05862v1 | The ability to recognize objects is an essential skill for a robotic system
acting in human-populated environments. Despite decades of effort from the
robotic and vision research communities, robots are still missing good visual
perceptual systems, preventing the use of autonomous agents for real-world
applications. Th... | Recognizing Objects In-the-wild: Where Do We Stand? | 2,017 | http://arxiv.org/pdf/1709.05862v1 | Title Recognizing Objects Inthewild Stand Summary ability recognize object essential skill robotic system acting humanpopulated environment Despite decade effort robotic vision research community robot still missing good visual perceptual system preventing use autonomous agent realworld application progress slowed lack... | [0.0049172574654221535, 0.0018985107308253646, 0.02034127153456211, 0.029196711257100105, 0.0030730748549103737, 0.026786338537931442, 0.05316627770662308, -0.03712461143732071, -0.010282933712005615, -0.020510604605078697, -0.020388176664710045, 0.03567176312208176, 0.014987240545451641, 0.037792690098285675, 0.008816... |
40,021 | 40,021 | ['Christoph Reinders', 'Hanno Ackermann', 'Michael Ying Yang', 'Bodo Rosenhahn'] | 1709.05910v3 | In recent years, data-driven methods have shown great success for extracting
information about the infrastruc- ture in urban areas. These algorithms are
usually trained on large datasets consisting of thousands or millions of
labeled training examples. While large datasets have been published regarding
cars, for cyclis... | Learning a Fully Convolutional Network for Object Recognition using very
few Data | 2,017 | http://arxiv.org/pdf/1709.05910v3 | Title Learning Fully Convolutional Network Object Recognition using Data Summary recent year datadriven method shown great success extracting information infrastruc ture urban area algorithm usually trained large datasets consisting thousand million labeled training example large datasets published regarding car cyclis... | [0.015905456617474556, 0.032099444419145584, 0.03064967505633831, 0.09280615299940109, 0.0021323978435248137, -0.0013431513216346502, 0.030405644327402115, -0.018969491124153137, 0.008037038147449493, -0.024950815364718437, -0.013140643015503883, 0.04594738036394119, -0.05326373875141144, 0.0294667799025774, 0.01254325... |
40,022 | 40,022 | ['Yuan Liu', 'Stéphane Canu', 'Paul Honeine', 'Su Ruan'] | 1709.05937v1 | Sparse representation learning has recently gained a great success in signal
and image processing, thanks to recent advances in dictionary learning. To this
end, the $\ell_0$-norm is often used to control the sparsity level.
Nevertheless, optimization problems based on the $\ell_0$-norm are non-convex
and NP-hard. For ... | Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire | 2,017 | http://arxiv.org/pdf/1709.05937v1 | Title Une véritable approche ell0 pour lapprentissage de dictionnaire Summary Sparse representation learning recently gained great success signal image processing thanks recent advance dictionary learning end ell0norm often used control sparsity level Nevertheless optimization problem based ell0norm nonconvex NPhard re... | [-0.01998337358236313, 0.02407686784863472, 0.001122313435189426, 0.07015416771173477, 0.001653188606724143, 0.004479164257645607, 0.01670529507100582, 0.0548565611243248, -0.02246740274131298, 0.012226849794387817, 0.025884872302412987, 0.002099288860335946, 0.008279974572360516, 0.022733554244041443, 0.00162912730593... |
40,023 | 40,023 | ['Nancy Xin Ru Wang', 'Ali Farhadi', 'Rajesh Rao', 'Bingni Brunton'] | 1709.05939v2 | Developing useful interfaces between brains and machines is a grand challenge
of neuroengineering. An effective interface has the capacity to not only
interpret neural signals, but predict the intentions of the human to perform an
action in the near future; prediction is made even more challenging outside
well-controll... | AJILE Movement Prediction: Multimodal Deep Learning for Natural Human
Neural Recordings and Video | 2,017 | http://arxiv.org/pdf/1709.05939v2 | Title AJILE Movement Prediction Multimodal Deep Learning Natural Human Neural Recordings Video Summary Developing useful interface brain machine grand challenge neuroengineering effective interface capacity interpret neural signal predict intention human perform action near future prediction made even challenging outsi... | [-0.011156336404383183, 0.02628338150680065, -0.02037404105067253, -0.007104202639311552, 0.03594086319208145, 0.021717706695199013, 0.014372976496815681, 0.03164299577474594, 0.018529923632740974, -0.015584572218358517, -0.005781848449259996, -0.02277141995728016, 0.05746234208345413, 0.05177841708064079, 0.0608117617... |
40,024 | 40,024 | ['Bartolomeo Della Corte', 'Igor Bogoslavskyi', 'Cyrill Stachniss', 'Giorgio Grisetti'] | 1709.05945v1 | The ability to build maps is a key functionality for the majority of mobile
robots. A central ingredient to most mapping systems is the registration or
alignment of the recorded sensor data. In this paper, we present a general
methodology for photometric registration that can deal with multiple different
cues. We provi... | A General Framework for Flexible Multi-Cue Photometric Point Cloud
Registration | 2,017 | http://arxiv.org/pdf/1709.05945v1 | Title General Framework Flexible MultiCue Photometric Point Cloud Registration Summary ability build map key functionality majority mobile robot central ingredient mapping system registration alignment recorded sensor data paper present general methodology photometric registration deal multiple different cue provide ex... | [-0.03299642726778984, -0.013765108771622181, 0.02579551748931408, -0.044113967567682266, -0.02706626057624817, 0.009839828126132488, 0.029765035957098007, -0.057144325226545334, -0.008707407861948013, 0.0018676723120734096, 0.010899761691689491, 0.047022342681884766, 0.06241925433278084, 0.033669181168079376, 0.011073... |
40,025 | 40,025 | ['Luis Contreras', 'Walterio Mayol-Cuevas'] | 1709.05972v1 | This paper presents a study on the use of Convolutional Neural Networks for
camera relocalisation and its application to map compression. We follow state
of the art visual relocalisation results and evaluate response to different
data inputs -- namely, depth, grayscale, RGB, spatial position and combinations
of these. ... | Towards CNN map representation and compression for camera relocalisation | 2,017 | http://arxiv.org/pdf/1709.05972v1 | Title Towards CNN map representation compression camera relocalisation Summary paper present study use Convolutional Neural Networks camera relocalisation application map compression follow state art visual relocalisation result evaluate response different data input namely depth grayscale RGB spatial position combinat... | [-0.011439234018325806, -0.02274874970316887, 0.025126447901129723, 0.02676817961037159, -0.04698197916150093, -0.0012547133956104517, 0.002348741050809622, -0.00459592929109931, -0.020424658432602882, -0.020063279196619987, 0.007211283314973116, 0.06624077260494232, 0.028636302798986435, 0.008728891611099243, 0.014151... |
40,026 | 40,026 | ['Gabriele Costante', 'Thomas A. Ciarfuglia'] | 1709.06019v2 | This work proposes a novel deep network architecture to solve the camera
Ego-Motion estimation problem. A motion estimation network generally learns
features similar to Optical Flow (OF) fields starting from sequences of images.
This OF can be described by a lower dimensional latent space. Previous research
has shown h... | LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry
Estimation | 2,017 | http://arxiv.org/pdf/1709.06019v2 | Title LSVO Learning Dense Optical Subspace Robust Visual Odometry Estimation Summary work proposes novel deep network architecture solve camera EgoMotion estimation problem motion estimation network generally learns feature similar Optical Flow field starting sequence image described lower dimensional latent space Prev... | [-0.002120589604601264, 0.030760226771235466, 0.019518157467246056, 0.06292569637298584, 0.0027102301828563213, -0.008458614349365234, 0.029243050143122673, 0.0017912313342094421, -0.016392864286899567, -0.011849835515022278, -0.006970996502786875, 0.03864872828125954, 0.01079263724386692, 0.04718470200896263, 0.007069... |
40,027 | 40,027 | ['Itay Benou', 'Ronel Veksler', 'Alon Friedman', 'Tammy Riklin Raviv'] | 1709.06122v1 | We present the concept of fiber-flux density for locally quantifying white
matter (WM) fiber bundles. By combining scalar diffusivity measures (e.g.,
fractional anisotropy) with fiber-flux measurements, we define new local
descriptors called Fiber-Flux Diffusion Density (FFDD) vectors. Applying each
descriptor througho... | Fiber-Flux Diffusion Density for White Matter Tracts Analysis:
Application to Mild Anomalies Localization in Contact Sports Players | 2,017 | http://arxiv.org/pdf/1709.06122v1 | Title FiberFlux Diffusion Density White Matter Tracts Analysis Application Mild Anomalies Localization Contact Sports Players Summary present concept fiberflux density locally quantifying white matter WM fiber bundle combining scalar diffusivity measure eg fractional anisotropy fiberflux measurement define new local de... | [-0.04675181582570076, 0.009116368368268013, -0.026973608881235123, 0.026073968037962914, 0.006322243716567755, -0.002444756682962179, 0.039708212018013, 0.033767327666282654, -0.03893840312957764, 0.023698868229985237, 0.01990840770304203, -0.10088083893060684, 0.04014650732278824, 0.027308128774166107, 0.054328657686... |
40,028 | 40,028 | ['Ashish Mahabal', 'Kshiteej Sheth', 'Fabian Gieseke', 'Akshay Pai', 'S. George Djorgovski', 'Andrew Drake', 'Matthew Graham', 'the CSS/CRTS/PTF Collaboration'] | 1709.06257v1 | Astronomy light curves are sparse, gappy, and heteroscedastic. As a result
standard time series methods regularly used for financial and similar datasets
are of little help and astronomers are usually left to their own instruments
and techniques to classify light curves. A common approach is to derive
statistical featu... | Deep-Learnt Classification of Light Curves | 2,017 | http://arxiv.org/pdf/1709.06257v1 | Title DeepLearnt Classification Light Curves Summary Astronomy light curve sparse gappy heteroscedastic result standard time series method regularly used financial similar datasets little help astronomer usually left instrument technique classify light curve common approach derive statistical feature time series use ma... | [0.019210735335946083, 0.00786648504436016, 0.0021245975513011217, 0.027898751199245453, -0.014437085017561913, 0.027135124430060387, 0.06889599561691284, 0.041965413838624954, 0.0036981122102588415, 0.0078362375497818, 0.02288322150707245, 0.002507684985175729, 0.006465865299105644, 0.019913824275135994, -0.0330921299... |
40,029 | 40,029 | ['Antoni Rosinol Vidal', 'Henri Rebecq', 'Timo Horstschaefer', 'Davide Scaramuzza'] | 1709.06310v4 | Event cameras are bio-inspired vision sensors that output pixel-level
brightness changes instead of standard intensity frames. These cameras do not
suffer from motion blur and have a very high dynamic range, which enables them
to provide reliable visual information during high speed motions or in scenes
characterized b... | Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM
in HDR and High Speed Scenarios | 2,017 | http://arxiv.org/pdf/1709.06310v4 | Title Ultimate SLAM Combining Events Images IMU Robust Visual SLAM HDR High Speed Scenarios Summary Event camera bioinspired vision sensor output pixellevel brightness change instead standard intensity frame camera suffer motion blur high dynamic range enables provide reliable visual information high speed motion scene... | [-0.04888150468468666, -0.0008407277637161314, 0.04532685503363609, 0.023577483370900154, -0.00233266013674438, 0.026285938918590546, -0.03010307066142559, 0.0007863353821448982, 0.017535250633955002, -0.02542581409215927, 0.019466916099190712, 0.06711877137422562, 0.050236236304044724, 0.1365141123533249, -0.004632413... |
40,030 | 40,030 | ['Tadanobu Inoue', 'Subhajit Chaudhury', 'Giovanni De Magistris', 'Sakyasingha Dasgupta'] | 1709.06762v1 | Robotic learning in simulation environments provides a faster, more scalable,
and safer training methodology than learning directly with physical robots.
Also, synthesizing images in a simulation environment for collecting
large-scale image data is easy, whereas capturing camera images in the real
world is time consumi... | Transfer learning from synthetic to real images using variational
autoencoders for robotic applications | 2,017 | http://arxiv.org/pdf/1709.06762v1 | Title Transfer learning synthetic real image using variational autoencoders robotic application Summary Robotic learning simulation environment provides faster scalable safer training methodology learning directly physical robot Also synthesizing image simulation environment collecting largescale image data easy wherea... | [0.02896171621978283, 0.027250880375504494, 0.008621891029179096, 0.02332988567650318, -0.01969524659216404, -0.0184224471449852, 0.06795386970043182, -0.030679620802402496, -0.032183144241571426, -0.054235491901636124, 0.013508807867765427, 0.06020715460181236, -0.037649672478437424, 0.05959555506706238, 0.00858195591... |
40,031 | 40,031 | ['Andres Milioto', 'Philipp Lottes', 'Cyrill Stachniss'] | 1709.06764v2 | Precision farming robots, which target to reduce the amount of herbicides
that need to be brought out in the fields, must have the ability to identify
crops and weeds in real time to trigger weeding actions. In this paper, we
address the problem of CNN-based semantic segmentation of crop fields
separating sugar beet pl... | Real-time Semantic Segmentation of Crop and Weed for Precision
Agriculture Robots Leveraging Background Knowledge in CNNs | 2,017 | http://arxiv.org/pdf/1709.06764v2 | Title Realtime Semantic Segmentation Crop Weed Precision Agriculture Robots Leveraging Background Knowledge CNNs Summary Precision farming robot target reduce amount herbicide need brought field must ability identify crop weed real time trigger weeding action paper address problem CNNbased semantic segmentation crop fi... | [0.014933688566088676, 0.009990113787353039, 0.03157024458050728, 0.04698515683412552, -0.022448191419243813, -0.02893686853349209, -0.0035153089556843042, -0.022183261811733246, -0.03152473270893097, -0.010969300754368305, 0.08250199258327484, 0.0806930661201477, -0.031155206263065338, 0.03106720931828022, -0.05475884... |
40,032 | 40,032 | ['Trung Pham', 'Thanh-Toan Do', 'Niko Sünderhauf', 'Ian Reid'] | 1709.07158v1 | This paper presents SceneCut, a novel approach to jointly discover previously
unseen objects and non-object surfaces using a single RGB-D image. SceneCut's
joint reasoning over scene semantics and geometry allows a robot to detect and
segment object instances in complex scenes where modern deep learning-based
methods e... | SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes | 2,017 | http://arxiv.org/pdf/1709.07158v1 | Title SceneCut Joint Geometric Object Segmentation Indoor Scenes Summary paper present SceneCut novel approach jointly discover previously unseen object nonobject surface using single RGBD image SceneCuts joint reasoning scene semantics geometry allows robot detect segment object instance complex scene modern deep lear... | [-0.024022618308663368, -0.00257290992885828, 0.06181901693344116, 0.04230298846960068, -0.025819938629865646, 0.000312716729240492, 0.017934277653694153, -0.03454441577196121, -0.017852986231446266, -0.01395691093057394, -0.024372301995754242, 0.0552792064845562, -0.013223784975707531, 0.05770210549235344, -0.02215312... |
40,033 | 40,033 | ['Piergiorgio Caramazza', 'Alessandro Boccolini', 'Daniel Buschek', 'Matthias Hullin', 'Catherine Higham', 'Robert Henderson', 'Roderick Murray-Smith', 'Daniele Faccio'] | 1709.07244v1 | Light scattered from multiple surfaces can be used to retrieve information of
hidden environments. However, full three-dimensional retrieval of an object
hidden from view by a wall has only been achieved with scanning systems and
requires intensive computational processing of the retrieved data. Here we use
a non-scann... | Neural network identification of people hidden from view with a
single-pixel, single-photon detector | 2,017 | http://arxiv.org/pdf/1709.07244v1 | Title Neural network identification people hidden view singlepixel singlephoton detector Summary Light scattered multiple surface used retrieve information hidden environment However full threedimensional retrieval object hidden view wall achieved scanning system requires intensive computational processing retrieved da... | [-0.0020584752783179283, 0.049976155161857605, -0.02818755805492401, 0.05825135111808777, -0.03292277082800865, -0.01975926011800766, 0.10034631192684174, 0.006164100486785173, -0.01868068240582943, 0.013716524466872215, 0.016926413401961327, 0.019227836281061172, 0.030340267345309258, 0.006403091363608837, 0.029875252... |
40,034 | 40,034 | ['Thanh-Toan Do', 'Anh Nguyen', 'Ian Reid'] | 1709.07326v3 | We propose AffordanceNet, a new deep learning approach to simultaneously
detect multiple objects and their affordances from RGB images. Our
AffordanceNet has two branches: an object detection branch to localize and
classify the object, and an affordance detection branch to assign each pixel in
the object to its most pr... | AffordanceNet: An End-to-End Deep Learning Approach for Object
Affordance Detection | 2,017 | http://arxiv.org/pdf/1709.07326v3 | Title AffordanceNet EndtoEnd Deep Learning Approach Object Affordance Detection Summary propose AffordanceNet new deep learning approach simultaneously detect multiple object affordances RGB image AffordanceNet two branch object detection branch localize classify object affordance detection branch assign pixel object p... | [-0.010266770608723164, 0.06126320734620094, -0.014330647885799408, 0.07693466544151306, 0.0035557998344302177, -0.0006745236460119486, 0.02534819394350052, -0.038233865052461624, -0.04190419614315033, -0.012590110301971436, -0.005491961725056171, 0.045163415372371674, -0.017038922756910324, 0.04212093725800514, -0.008... |
40,035 | 40,035 | ['A. Milan', 'T. Pham', 'K. Vijay', 'D. Morrison', 'A. W. Tow', 'L. Liu', 'J. Erskine', 'R. Grinover', 'A. Gurman', 'T. Hunn', 'N. Kelly-Boxall', 'D. Lee', 'M. McTaggart', 'G. Rallos', 'A. Razjigaev', 'T. Rowntree', 'T. Shen', 'R. Smith', 'S. Wade-McCue', 'Z. Zhuang', 'C. Lehnert', 'G. Lin', 'I. Reid', 'P. Corke', 'J. ... | 1709.07665v1 | We present our approach for robotic perception in cluttered scenes that led
to winning the recent Amazon Robotics Challenge (ARC) 2017. Next to small
objects with shiny and transparent surfaces, the biggest challenge of the 2017
competition was the introduction of unseen categories. In contrast to
traditional approache... | Semantic Segmentation from Limited Training Data | 2,017 | http://arxiv.org/pdf/1709.07665v1 | Title Semantic Segmentation Limited Training Data Summary present approach robotic perception cluttered scene led winning recent Amazon Robotics Challenge ARC 2017 Next small object shiny transparent surface biggest challenge 2017 competition introduction unseen category contrast traditional approach require large coll... | [-0.00962850172072649, -0.02132132090628147, 0.03284049779176712, 0.05434280261397362, -0.008232230320572853, -0.015805097296833992, -0.007916167378425598, -0.05311654508113861, -0.04638005420565605, -0.014095832593739033, 0.02645852603018284, 0.053836651146411896, -0.010049477219581604, 0.04011853411793709, -0.0355282... |
40,036 | 40,036 | ['Ribana Roscher', 'Bernd Uebbing', 'Jürgen Kusche'] | 1709.07681v1 | Satellite radar altimetry is one of the most powerful techniques for
measuring sea surface height variations, with applications ranging from
operational oceanography to climate research. Over open oceans, altimeter
return waveforms generally correspond to the Brown model, and by inversion,
estimated shape parameters pr... | STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse
Representation and Conditional Random Fields | 2,017 | http://arxiv.org/pdf/1709.07681v1 | Title STAR SpatioTemporal Altimeter Waveform Retracking using Sparse Representation Conditional Random Fields Summary Satellite radar altimetry one powerful technique measuring sea surface height variation application ranging operational oceanography climate research open ocean altimeter return waveform generally corre... | [0.004173276014626026, 0.04794066771864891, 0.0037746690213680267, -0.04391401633620262, -0.01319179218262434, -0.007804000750184059, 0.0310689527541399, -0.019831117242574692, -0.03446302190423012, 0.009627056308090687, 0.05658292770385742, -0.054767876863479614, 0.07188292592763901, 0.049366094172000885, 0.0162142310... |
40,037 | 40,037 | ['Xiao-Yun Zhou', 'Jianyu Lin', 'Celia Riga', 'Guang-Zhong Yang', 'Su-Lin Lee'] | 1709.07689v2 | Robot-assisted deployment of fenestrated stent grafts in Fenestrated
Endovascular Aortic Repair (FEVAR) requires accurate geometrical alignment.
Currently, this process is guided by 2D fluoroscopy, which is uninformative and
error prone. In this paper, a real-time framework is proposed to instantiate
the 3D shape of a ... | Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for
Fenestrated Stent Graft Deployment | 2,017 | http://arxiv.org/pdf/1709.07689v2 | Title Realtime 3D Shape Instantiation Single Fluoroscopy Projection Fenestrated Stent Graft Deployment Summary Robotassisted deployment fenestrated stent graft Fenestrated Endovascular Aortic Repair FEVAR requires accurate geometrical alignment Currently process guided 2D fluoroscopy uninformative error prone paper rea... | [0.017946986481547356, -0.02955394610762596, -0.010572586208581924, -0.028925921767950058, -0.03294304013252258, -0.04587651044130325, 0.05056803673505783, 0.025466231629252434, -0.016695138067007065, 0.015947949141263962, 0.043445784598588943, -0.028948061168193817, 0.03243466839194298, 0.12638717889785767, -0.0017897... |
40,038 | 40,038 | ['Krzysztof M. Czajkowski', 'Anna Pastuszczak', 'Rafał Kotyński'] | 1709.07739v2 | Single-pixel imaging is an indirect imaging technique which utilizes
simplified optical hardware and advanced computational methods. It offers novel
solutions for hyper-spectral imaging, polarimetric imaging, three-dimensional
imaging, holographic imaging, optical encryption and imaging through scattering
media. The ma... | Single-pixel imaging with Morlet wavelet correlated random patterns | 2,017 | http://arxiv.org/pdf/1709.07739v2 | Title Singlepixel imaging Morlet wavelet correlated random pattern Summary Singlepixel imaging indirect imaging technique utilizes simplified optical hardware advanced computational method offer novel solution hyperspectral imaging polarimetric imaging threedimensional imaging holographic imaging optical encryption ima... | [0.003687047865241766, 0.030662918463349342, 0.007328658364713192, -0.02262234315276146, -0.06577707082033157, -0.007632473949342966, 0.07818332314491272, 0.020268738269805908, -0.037141215056180954, 0.005979917477816343, 0.048912905156612396, 0.05969221517443657, 0.04138120636343956, -0.027661465108394623, 0.021316172... |
40,039 | 40,039 | ['Vladimir Saveljev', 'Sung-Kyu Kim'] | 1709.07745v1 | The article presents the experimental measurements of the amplitude of the
moir\'e patterns in a digital autostereoscopic barrier-type 3D display across a
wide angular range with a small increment. The period and orientation of the
moir\'e patterns were also measured as functions of the angle. Simultaneous
branches are... | Measurement of amplitude of the moiré patterns in digital
autostereoscopic 3D display | 2,017 | http://arxiv.org/pdf/1709.07745v1 | Title Measurement amplitude moiré pattern digital autostereoscopic 3D display Summary article present experimental measurement amplitude moire pattern digital autostereoscopic barriertype 3D display across wide angular range small increment period orientation moire pattern also measured function angle Simultaneous bran... | [-0.020076647400856018, 0.02250450849533081, -0.02747422270476818, 0.02729700319468975, -0.020664537325501442, -0.03297664225101471, 0.07502612471580505, 0.055579010397195816, -0.04754740744829178, 0.00017252549878321588, 0.006939130835235119, 0.015724698081612587, 0.0630023181438446, 0.0721646100282669, 0.001727218157... |
40,040 | 40,040 | ['Chamberlain Fong'] | 1709.07875v1 | We present and discuss different algorithms for converting rectangular
imagery into elliptical regions. We will focus primarily on methods that use
mathematical mappings with explicit and invertible equations. We will also
present different post-processing effects that could be applied to enhance the
resulting images a... | Elliptification of Rectangular Imagery | 2,017 | http://arxiv.org/pdf/1709.07875v1 | Title Elliptification Rectangular Imagery Summary present discus different algorithm converting rectangular imagery elliptical region focus primarily method use mathematical mapping explicit invertible equation also present different postprocessing effect could applied enhance resulting image minimize distortion Author... | [0.018016492947936058, -0.06387389451265335, 0.005725919269025326, 0.04012831673026085, 0.009916683658957481, -0.01635766588151455, 0.015012393705546856, 0.01835700124502182, -0.012489345856010914, 0.003384310519322753, 0.03706344589591026, 0.06075723469257355, 0.021229121834039688, 0.036625929176807404, 0.003103543072... |
40,041 | 40,041 | ['Abhimanyu Dubey', 'Sumeet Agarwal'] | 1709.07914v1 | The study of virality and information diffusion online is a topic gaining
traction rapidly in the computational social sciences. Computer vision and
social network analysis research have also focused on understanding the impact
of content and information diffusion in making content viral, with prior
approaches not perf... | Modeling Image Virality with Pairwise Spatial Transformer Networks | 2,017 | http://arxiv.org/pdf/1709.07914v1 | Title Modeling Image Virality Pairwise Spatial Transformer Networks Summary study virality information diffusion online topic gaining traction rapidly computational social science Computer vision social network analysis research also focused understanding impact content information diffusion making content viral prior ... | [0.00723249651491642, -0.0074327606707811356, -0.041180867701768875, -0.01651018112897873, 0.001069601159542799, -0.013364501297473907, 0.007278475910425186, -0.022451704367995262, -0.005209749098867178, -0.013629849068820477, 0.003310409840196371, 0.0007470703567378223, -0.004281757865101099, 0.05539799481630325, 0.05... |
40,042 | 40,042 | ['Xin Jie Tang', 'Yong Haur Tay', 'Nordahlia Abdullah Siam', 'Seng Choon Lim'] | 1709.08154v1 | Wood Identification has never been more important to serve the purpose of
global forest species protection and timber regulation. Macroscopic level wood
identification practiced by wood anatomists can identify wood up to genus
level. This is sufficient to serve as a frontline identification to fight
against illegal woo... | Rapid and Robust Automated Macroscopic Wood Identification System using
Smartphone with Macro-lens | 2,017 | http://arxiv.org/pdf/1709.08154v1 | Title Rapid Robust Automated Macroscopic Wood Identification System using Smartphone Macrolens Summary Wood Identification never important serve purpose global forest specie protection timber regulation Macroscopic level wood identification practiced wood anatomist identify wood genus level sufficient serve frontline i... | [0.019321788102388382, 0.0380801223218441, 0.0030684329103678465, 0.04880674183368683, -0.03546321019530296, -0.024233287200331688, 0.018090182915329933, -0.0005685756914317608, -0.08777906000614166, -0.020310508087277412, 0.07807295024394989, 0.04154727980494499, 0.03310235217213631, 0.012201768346130848, -0.004452523... |
40,043 | 40,043 | ['Xin Jin', 'Shuyun Zhu', 'Chaoen Xiao', 'Hongbo Sun', 'Xiaodong Li', 'Geng Zhao', 'Shiming Ge'] | 1709.08364v1 | In the coming Virtual/Augmented Reality (VR/AR) era, 3D contents will be
popularized just as images and videos today. The security and privacy of these
3D contents should be taken into consideration. 3D contents contain surface
models and solid models. The surface models include point clouds, meshes and
textured models... | 3D Textured Model Encryption via 3D Lu Chaotic Mapping | 2,017 | http://arxiv.org/pdf/1709.08364v1 | Title 3D Textured Model Encryption via 3D Lu Chaotic Mapping Summary coming VirtualAugmented Reality VRAR era 3D content popularized image video today security privacy 3D content taken consideration 3D content contain surface model solid model surface model include point cloud mesh textured model Previous work mainly f... | [0.04181694611907005, 0.027253929525613785, -0.0251779668033123, 0.07630527019500732, -0.04475879296660423, -0.010390108451247215, 0.003733917837962508, -0.030927814543247223, -0.06410939991474152, 0.009061437100172043, -0.028452547267079353, 0.021421849727630615, 0.013948234729468822, 0.06227362900972366, 0.0121772056... |
40,044 | 40,044 | ['Sen Wang', 'Ronald Clark', 'Hongkai Wen', 'Niki Trigoni'] | 1709.08429v1 | This paper studies monocular visual odometry (VO) problem. Most of existing
VO algorithms are developed under a standard pipeline including feature
extraction, feature matching, motion estimation, local optimisation, etc.
Although some of them have demonstrated superior performance, they usually need
to be carefully de... | DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
Convolutional Neural Networks | 2,017 | http://arxiv.org/pdf/1709.08429v1 | Title DeepVO Towards EndtoEnd Visual Odometry Deep Recurrent Convolutional Neural Networks Summary paper study monocular visual odometry VO problem existing VO algorithm developed standard pipeline including feature extraction feature matching motion estimation local optimisation etc Although demonstrated superior perf... | [0.02011355385184288, 0.019795292988419533, 0.02714576944708824, 0.05911128595471382, 0.008531657978892326, -0.0006849103956483305, -0.022900668904185295, -0.010826022364199162, 0.007730660028755665, -0.033328596502542496, 0.015982145443558693, 0.005920632742345333, 0.03676623851060867, 0.04133881255984306, -0.00758920... |
40,045 | 40,045 | ['Daniel D. Morris', 'Brian Colonna', 'Paul Haley'] | 1709.08515v1 | Detecting moving vehicles and people is crucial for safe operation of UGVs
but is challenging in cluttered, real world environments. We propose a
registration technique that enables objects to be robustly matched and tracked,
and hence movers to be detected even in high clutter. Range data are acquired
using a 2D scann... | LADAR-Based Mover Detection from Moving Vehicles | 2,017 | http://arxiv.org/pdf/1709.08515v1 | Title LADARBased Mover Detection Moving Vehicles Summary Detecting moving vehicle people crucial safe operation UGVs challenging cluttered real world environment propose registration technique enables object robustly matched tracked hence mover detected even high clutter Range data acquired using 2D scanning Ladar movi... | [0.007081448566168547, -0.01731877028942108, 0.019050758332014084, 0.020761460065841675, 0.02237832546234131, -0.0030184253118932247, 0.024386482313275337, 0.005941806361079216, -0.045564811676740646, -0.014674476347863674, 0.06566481292247772, 0.03193410113453865, 0.006311752833425999, 0.007931838743388653, 0.01574303... |
40,046 | 40,046 | ['Md Jahidul Islam', 'Marc Ho', 'Junaed Sattar'] | 1709.08772v8 | This paper presents a real-time programming and parameter reconfiguration
method for autonomous underwater robots in human-robot collaborative tasks.
Using a set of intuitive and meaningful hand gestures, we develop a
syntactically simple framework that is computationally more efficient than a
complex, grammar-based ap... | Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot
Collaboration | 2,017 | http://arxiv.org/pdf/1709.08772v8 | Title Dynamic Reconfiguration Mission Parameters Underwater HumanRobot Collaboration Summary paper present realtime programming parameter reconfiguration method autonomous underwater robot humanrobot collaborative task Using set intuitive meaningful hand gesture develop syntactically simple framework computationally ef... | [0.03282627835869789, -0.03738149628043175, -0.006735019851475954, -0.10419833660125732, 0.009722162038087845, 0.027858104556798935, 0.020725594833493233, -0.021586086601018906, -0.030739733949303627, -0.07447825372219086, -0.04297121614217758, 0.01255815476179123, 0.05237170681357384, 0.07161886245012283, 0.0167995821... |
40,047 | 40,047 | ['Xiang Zhang', 'Lina Yao', 'Quan Z. Sheng', 'Salil S. Kanhere', 'Tao Gu', 'Dalin Zhang'] | 1709.08820v1 | An electroencephalography (EEG) based Brain Computer Interface (BCI) enables
people to communicate with the outside world by interpreting the EEG signals of
their brains to interact with devices such as wheelchairs and intelligent
robots. More specifically, motor imagery EEG (MI-EEG), which reflects a
subjects active i... | Converting Your Thoughts to Texts: Enabling Brain Typing via Deep
Feature Learning of EEG Signals | 2,017 | http://arxiv.org/pdf/1709.08820v1 | Title Converting Thoughts Texts Enabling Brain Typing via Deep Feature Learning EEG Signals Summary electroencephalography EEG based Brain Computer Interface BCI enables people communicate outside world interpreting EEG signal brain interact device wheelchair intelligent robot specifically motor imagery EEG MIEEG refle... | [-0.004827338736504316, -0.004936155863106251, -0.007605224847793579, 0.014303161762654781, 0.026584556326270103, 0.01873311586678028, 0.046395137906074524, 0.007361134048551321, 0.042991481721401215, -0.025072617456316948, -0.024578992277383804, -0.010673411190509796, 0.0692128911614418, 0.10194144397974014, 0.0337722... |
40,048 | 40,048 | ['Sandeep Konam', 'Stephanie Rosenthal', 'Manuela Veloso'] | 1709.08831v1 | Our CoBot robots have successfully performed a variety of service tasks in
our multi-building environment including accompanying people to meetings and
delivering objects to offices due to its navigation and localization
capabilities. However, they lack the capability to visually search over desks
and other confined lo... | UAV and Service Robot Coordination for Indoor Object Search Tasks | 2,017 | http://arxiv.org/pdf/1709.08831v1 | Title UAV Service Robot Coordination Indoor Object Search Tasks Summary CoBot robot successfully performed variety service task multibuilding environment including accompanying people meeting delivering object office due navigation localization capability However lack capability visually search desk confined location o... | [0.021578708663582802, -0.022503668442368507, 0.02705399878323078, -0.062081195414066315, -0.0213788915425539, -0.025315197184681892, 0.018242763355374336, -0.04814112186431885, -0.012683602049946785, -0.04867343232035637, -0.003927471116185188, 0.04976543411612511, 0.014701631851494312, 0.05587432533502579, -0.0025675... |
40,049 | 40,049 | ['Timo Lüddecke', 'Florentin Wörgötter'] | 1709.08872v1 | An autonomous robot should be able to evaluate the affordances that are
offered by a given situation. Here we address this problem by designing a
system that can densely predict affordances given only a single 2D RGB image.
This is achieved with a convolutional neural network (ResNet), which we combine
with refinement ... | Learning to Label Affordances from Simulated and Real Data | 2,017 | http://arxiv.org/pdf/1709.08872v1 | Title Learning Label Affordances Simulated Real Data Summary autonomous robot able evaluate affordances offered given situation address problem designing system densely predict affordances given single 2D RGB image achieved convolutional neural network ResNet combine refinement module recently proposed addressing seman... | [0.0033963043242692947, 0.03220869228243828, 0.0005558150005526841, 0.05367283150553703, -0.005424831062555313, -0.007121605332940817, -0.0020542219281196594, -0.0472012534737587, -0.0030173039995133877, -0.002524113515391946, -0.004302468616515398, 0.07282305508852005, -0.00758947990834713, 0.03473072499036789, -0.034... |
40,050 | 40,050 | ['Xiang Zhang', 'Lina Yao', 'Dalin Zhang', 'Xianzhi Wang', 'Quan Z. Sheng', 'Tao Gu'] | 1709.09077v1 | An electroencephalography (EEG) based brain activity recognition is a
fundamental field of study for a number of significant applications such as
intention prediction, appliance control, and neurological disease diagnosis in
smart home and smart healthcare domains. Existing techniques mostly focus on
binary brain activ... | Multi-Person Brain Activity Recognition via Comprehensive EEG Signal
Analysis | 2,017 | http://arxiv.org/pdf/1709.09077v1 | Title MultiPerson Brain Activity Recognition via Comprehensive EEG Signal Analysis Summary electroencephalography EEG based brain activity recognition fundamental field study number significant application intention prediction appliance control neurological disease diagnosis smart home smart healthcare domain Existing ... | [-0.02635803073644638, -0.015955450013279915, -0.03891989216208458, 0.004699342884123325, 0.031571101397275925, 0.0370854027569294, 0.05620643123984337, 0.03065601922571659, 0.019304098561406136, -0.03777625784277916, -0.03518141806125641, 0.017514940351247787, 0.026796545833349228, 0.022716965526342392, 0.035604581236... |
40,051 | 40,051 | ['Ryota Hinami', 'Yusuke Matsui', "Shin'ichi Satoh"] | 1709.09106v1 | Region-based image retrieval (RBIR) technique is revisited. In early attempts
at RBIR in the late 90s, researchers found many ways to specify region-based
queries and spatial relationships; however, the way to characterize the
regions, such as by using color histograms, were very poor at that time. Here,
we revisit RBI... | Region-Based Image Retrieval Revisited | 2,017 | http://arxiv.org/pdf/1709.09106v1 | Title RegionBased Image Retrieval Revisited Summary Regionbased image retrieval RBIR technique revisited early attempt RBIR late 90 researcher found many way specify regionbased query spatial relationship however way characterize region using color histogram poor time revisit RBIR incorporating semantic specification o... | [0.009670012630522251, 0.009984457865357399, -0.020736871287226677, -0.0028173141181468964, -0.04773121327161789, 0.0005675003048963845, 0.045709364116191864, 0.018689313903450966, 0.010120850056409836, -0.008175686933100224, -0.021335870027542114, 0.03203124552965164, -0.010569890961050987, 0.010228514671325684, -0.01... |
40,052 | 40,052 | ['Dylan Campbell', 'Lars Petersson', 'Laurent Kneip', 'Hongdong Li'] | 1709.09384v1 | Estimating the 6-DoF pose of a camera from a single image relative to a
pre-computed 3D point-set is an important task for many computer vision
applications. Perspective-n-Point (PnP) solvers are routinely used for camera
pose estimation, provided that a good quality set of 2D-3D feature
correspondences are known befor... | Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose
and Feature Correspondence | 2,017 | http://arxiv.org/pdf/1709.09384v1 | Title GloballyOptimal Inlier Set Maximisation Simultaneous Camera Pose Feature Correspondence Summary Estimating 6DoF pose camera single image relative precomputed 3D pointset important task many computer vision application PerspectivenPoint PnP solver routinely used camera pose estimation provided good quality set 2D3... | [-0.044125765562057495, 0.0026042992249131203, 0.05891168862581253, 0.054518718272447586, -0.03079630807042122, 0.024685420095920563, 2.6500230887904763e-05, 0.014585865661501884, -0.003478211583569646, -0.0031192286405712366, 0.035292334854602814, 0.0349113903939724, 0.05581977218389511, -0.012047464959323406, 0.02900... |
40,053 | 40,053 | ['Yuanming Hu', 'Hao He', 'Chenxi Xu', 'Baoyuan Wang', 'Stephen Lin'] | 1709.09602v2 | Retouching can significantly elevate the visual appeal of photos, but many
casual photographers lack the expertise to do this well. To address this
problem, previous works have proposed automatic retouching systems based on
supervised learning from paired training images acquired before and after
manual editing. As it ... | Exposure: A White-Box Photo Post-Processing Framework | 2,017 | http://arxiv.org/pdf/1709.09602v2 | Title Exposure WhiteBox Photo PostProcessing Framework Summary Retouching significantly elevate visual appeal photo many casual photographer lack expertise well address problem previous work proposed automatic retouching system based supervised learning paired training image acquired manual editing difficult user acqui... | [-0.0037884353660047054, 0.039519935846328735, 0.003267890540882945, 0.014274629764258862, -0.021815689280629158, -0.014562289230525494, 0.0194323118776083, 0.006367153488099575, -0.057919297367334366, -0.01796351745724678, -0.027142638340592384, 0.008397767320275307, 0.013459200970828533, 0.06850997358560562, 0.009361... |
40,054 | 40,054 | ['Gilad Lerman', 'Yunpeng Shi', 'Teng Zhang'] | 1709.09683v2 | We establish exact recovery for the Least Unsquared Deviations (LUD)
algorithm of \"{O}zyesil and Singer. More precisely, we show that for
sufficiently many cameras with given corrupted pairwise directions, where both
camera locations and pairwise directions are generated by a special
probabilistic model, the LUD algor... | Exact Camera Location Recovery by Least Unsquared Deviations | 2,017 | http://arxiv.org/pdf/1709.09683v2 | Title Exact Camera Location Recovery Least Unsquared Deviations Summary establish exact recovery Least Unsquared Deviations LUD algorithm Ozyesil Singer precisely show sufficiently many camera given corrupted pairwise direction camera location pairwise direction generated special probabilistic model LUD algorithm exact... | [-0.04248911887407303, 0.04436149075627327, 0.015977034345269203, 0.053776491433382034, -0.03990659862756729, -0.013176528736948967, 0.040444981306791306, 0.03151969239115715, -0.08887790888547897, -0.028321754187345505, 0.05492809787392616, 0.016510192304849625, 0.06157144904136658, 0.0225408673286438, 0.0323309153318... |
40,055 | 40,055 | ['Abel Gawel', 'Carlo Del Don', 'Roland Siegwart', 'Juan Nieto', 'Cesar Cadena'] | 1709.09905v3 | Global registration of multi-view robot data is a challenging task.
Appearance-based global localization approaches often fail under drastic
view-point changes, as representations have limited view-point invariance. This
work is based on the idea that human-made environments contain rich semantics
which can be used to ... | X-View: Graph-Based Semantic Multi-View Localization | 2,017 | http://arxiv.org/pdf/1709.09905v3 | Title XView GraphBased Semantic MultiView Localization Summary Global registration multiview robot data challenging task Appearancebased global localization approach often fail drastic viewpoint change representation limited viewpoint invariance work based idea humanmade environment contain rich semantics used disambig... | [0.011119196191430092, -0.0030750534497201443, 0.069656141102314, -0.024495113641023636, -0.007041934411972761, 0.008359823375940323, 0.00973790418356657, -0.07403739541769028, 0.01430320180952549, -0.039561498910188675, -0.009732269681990147, 0.0626930370926857, 0.03892788663506508, -0.004923522472381592, 0.0140674002... |
40,056 | 40,056 | ['Li Sun', 'Zhi Yan', 'Sergi Molina Mellado', 'Marc Hanheide', 'Tom Duckett'] | 1710.00126v1 | This paper presents a novel 3DOF pedestrian trajectory prediction approach
for autonomous mobile service robots. While most previously reported methods
are based on learning of 2D positions in monocular camera images, our approach
uses range-finder sensors to learn and predict 3DOF pose trajectories (i.e. 2D
position p... | 3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous
Mobile Robot Deployment Data | 2,017 | http://arxiv.org/pdf/1710.00126v1 | Title 3DOF Pedestrian Trajectory Prediction Learned LongTerm Autonomous Mobile Robot Deployment Data Summary paper present novel 3DOF pedestrian trajectory prediction approach autonomous mobile service robot previously reported method based learning 2D position monocular camera image approach us rangefinder sensor lear... | [0.03103032149374485, -0.021093081682920456, 0.016795499250292778, -0.002426584716886282, 0.026795128360390663, 0.004330642521381378, -0.004958813078701496, -0.04061244800686836, -0.01969784125685692, -0.03923526778817177, 0.014819659292697906, 0.023463940247893333, 0.007569338660687208, 0.01962306536734104, 0.01728386... |
40,057 | 40,057 | ['Anh Nguyen', 'Dimitrios Kanoulas', 'Luca Muratore', 'Darwin G. Caldwell', 'Nikos G. Tsagarakis'] | 1710.00290v1 | We present a new method to translate videos to commands for robotic
manipulation using Deep Recurrent Neural Networks (RNN). Our framework first
extracts deep features from the input video frames with a deep Convolutional
Neural Networks (CNN). Two RNN layers with an encoder-decoder architecture are
then used to encode... | Translating Videos to Commands for Robotic Manipulation with Deep
Recurrent Neural Networks | 2,017 | http://arxiv.org/pdf/1710.00290v1 | Title Translating Videos Commands Robotic Manipulation Deep Recurrent Neural Networks Summary present new method translate video command robotic manipulation using Deep Recurrent Neural Networks RNN framework first extract deep feature input video frame deep Convolutional Neural Networks CNN Two RNN layer encoderdecode... | [0.04898238182067871, 0.011275999248027802, 0.007207691203802824, 0.02619798853993416, -0.013666734099388123, -0.006268332712352276, 0.035159625113010406, -0.021035192534327507, -0.019130464643239975, -0.009071465581655502, -0.039563316851854324, -0.0031324969604611397, 0.0454278327524662, 0.06149649620056152, 0.012550... |
40,058 | 40,058 | ['Yuzhen Lu'] | 1710.00620v2 | Image de-blurring is important in many cases of imaging a real scene or
object by a camera. This project focuses on de-blurring an image distorted by
an out-of-focus blur through a simulation study. A pseudo-inverse filter is
first explored but it fails because of severe noise amplification. Then
Tikhonov regularizatio... | Out-of-focus Blur: Image De-blurring | 2,017 | http://arxiv.org/pdf/1710.00620v2 | Title Outoffocus Blur Image Deblurring Summary Image deblurring important many case imaging real scene object camera project focus deblurring image distorted outoffocus blur simulation study pseudoinverse filter first explored fails severe noise amplification Tikhonov regularization method employed produce greatly impr... | [0.005991567857563496, -0.0730365440249443, 0.01766911707818508, 0.04967377707362175, 0.009037276729941368, -0.05338302254676819, -0.037919919937849045, 0.06716664135456085, -0.04159960150718689, 0.004943885374814272, 0.06850413978099823, -0.010666918940842152, 0.03476712852716446, 0.015594583936035633, -0.008315887302... |
40,059 | 40,059 | ['Joan Duran', 'Antoni Buades'] | 1710.00672v1 | Pansharpening techniques aim at fusing the structural detail of the
panchromatic and the color accuracy of the low-resolution spectral bands
provided by Earth observation satellites to produce a high-resolution
multispectral image. A large number of methods have been proposed in the
literature, most of which were devel... | Conditional Chromatic Filtering with Spatial Enhancement for Restoring
Pansharpened Images | 2,017 | http://arxiv.org/pdf/1710.00672v1 | Title Conditional Chromatic Filtering Spatial Enhancement Restoring Pansharpened Images Summary Pansharpening technique aim fusing structural detail panchromatic color accuracy lowresolution spectral band provided Earth observation satellite produce highresolution multispectral image large number method proposed litera... | [0.016423864290118217, 0.023280395194888115, 0.0015085176564753056, 0.021056542173027992, -0.02330641821026802, -0.049931008368730545, -0.03961615264415741, -0.02399568259716034, -0.07629022002220154, 0.00586905749514699, 0.037878286093473434, 0.03996437415480614, 0.07499565184116364, 0.010607304982841015, 0.0018283983... |
40,060 | 40,060 | ['Zhe Zhang', 'Shaoshan Liu', 'Grace Tsai', 'Hongbing Hu', 'Chen-Chi Chu', 'Feng Zheng'] | 1710.00893v1 | In this paper, we present the PerceptIn Robotics Vision System (PIRVS)
system, a visual-inertial computing hardware with embedded simultaneous
localization and mapping (SLAM) algorithm. The PIRVS hardware is equipped with
a multi-core processor, a global-shutter stereo camera, and an IMU with precise
hardware synchroni... | PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor
Fusion and Hardware Co-Design | 2,017 | http://arxiv.org/pdf/1710.00893v1 | Title PIRVS Advanced VisualInertial SLAM System Flexible Sensor Fusion Hardware CoDesign Summary paper present PerceptIn Robotics Vision System PIRVS system visualinertial computing hardware embedded simultaneous localization mapping SLAM algorithm PIRVS hardware equipped multicore processor globalshutter stereo camera... | [0.009493031539022923, -0.04611530154943466, 0.0038382296916097403, 0.001418512430973351, -0.011448994278907776, 0.0332268625497818, -0.04442668333649635, -0.042425211519002914, 0.03283010795712471, -0.010530101135373116, 0.004706739913672209, 0.09684796631336212, 0.06158492714166641, 0.06467197090387344, -0.0107805961... |
40,061 | 40,061 | ['Andy Zeng', 'Shuran Song', 'Kuan-Ting Yu', 'Elliott Donlon', 'Francois R. Hogan', 'Maria Bauza', 'Daolin Ma', 'Orion Taylor', 'Melody Liu', 'Eudald Romo', 'Nima Fazeli', 'Ferran Alet', 'Nikhil Chavan Dafle', 'Rachel Holladay', 'Isabella Morona', 'Prem Qu Nair', 'Druck Green', 'Ian Taylor', 'Weber Liu', 'Thomas Funkho... | 1710.01330v3 | This paper presents a robotic pick-and-place system that is capable of
grasping and recognizing both known and novel objects in cluttered
environments. The key new feature of the system is that it handles a wide range
of object categories without needing any task-specific training data for novel
objects. To achieve thi... | Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance
Grasping and Cross-Domain Image Matching | 2,017 | http://arxiv.org/pdf/1710.01330v3 | Title Robotic PickandPlace Novel Objects Clutter MultiAffordance Grasping CrossDomain Image Matching Summary paper present robotic pickandplace system capable grasping recognizing known novel object cluttered environment key new feature system handle wide range object category without needing taskspecific training data... | [0.015467198565602303, -0.011675464920699596, 0.012083817273378372, -0.008764578960835934, -0.01223776862025261, -0.01777278445661068, 0.0253443606197834, 0.0045480430126190186, 0.04430733248591423, -0.07462576031684875, -0.028277838602662086, 0.00998171977698803, -0.017732921987771988, 0.029746318235993385, -0.0216249... |
40,062 | 40,062 | ['Travis Gesslein', 'Daniel Scherer', 'Jens Grubert'] | 1710.01370v2 | With the rising popularity of Augmented and Virtual Reality, there is a need
for representing humans as virtual avatars in various application domains
ranging from remote telepresence, games to medical applications. Besides
explicitly modelling 3D avatars, sensing approaches that create person-specific
avatars are beco... | BodyDigitizer: An Open Source Photogrammetry-based 3D Body Scanner | 2,017 | http://arxiv.org/pdf/1710.01370v2 | Title BodyDigitizer Open Source Photogrammetrybased 3D Body Scanner Summary rising popularity Augmented Virtual Reality need representing human virtual avatar various application domain ranging remote telepresence game medical application Besides explicitly modelling 3D avatar sensing approach create personspecific ava... | [0.031936414539813995, 0.032751068472862244, -0.018608784303069115, -0.026775216683745384, 0.014295659027993679, 0.013918167911469936, 0.06080600246787071, 0.024861661717295647, -0.03614557906985283, 0.02494618482887745, 0.051576681435108185, -0.02755710855126381, 0.07041571289300919, 0.03319450095295906, 0.07572109252... |
40,063 | 40,063 | ['Nima Sedaghat', 'Ashish Mahabal'] | 1710.01422v1 | Large sky surveys are increasingly relying on image subtraction pipelines for
real-time (and archival) transient detection. In this process one has to
contend with varying PSF, small brightness variations in many sources, as well
as artifacts resulting from saturated stars, and, in general, matching errors.
Very often ... | Effective Image Differencing with ConvNets for Real-time Transient
Hunting | 2,017 | http://arxiv.org/pdf/1710.01422v1 | Title Effective Image Differencing ConvNets Realtime Transient Hunting Summary Large sky survey increasingly relying image subtraction pipeline realtime archival transient detection process one contend varying PSF small brightness variation many source well artifact resulting saturated star general matching error often... | [0.014241979457437992, 0.024780744686722755, 0.01455987710505724, 0.0750061497092247, -0.027512455359101295, -0.02019244246184826, -0.012641542591154575, 0.043777965009212494, -0.08605236560106277, 0.020986562594771385, 0.05494840815663338, -0.0008900786633603275, 0.005776498932391405, 0.03547215834259987, -0.019809229... |
40,064 | 40,064 | ['Roopal Nahar', 'Akanksha Baranwal', 'K. Madhava Krishna'] | 1710.02260v1 | Efficient and real time segmentation of color images has a variety of
importance in many fields of computer vision such as image compression, medical
imaging, mapping and autonomous navigation. Being one of the most
computationally expensive operation, it is usually done through software imple-
mentation using high-per... | FPGA based Parallelized Architecture of Efficient Graph based Image
Segmentation Algorithm | 2,017 | http://arxiv.org/pdf/1710.02260v1 | Title FPGA based Parallelized Architecture Efficient Graph based Image Segmentation Algorithm Summary Efficient real time segmentation color image variety importance many field computer vision image compression medical imaging mapping autonomous navigation one computationally expensive operation usually done software i... | [0.013865595683455467, -0.06089519336819649, -0.013459577225148678, -0.012826438993215561, -0.031217386946082115, 0.00526255089789629, 0.05243247002363205, 0.015565012581646442, 0.010858029127120972, 0.002922850428149104, 0.03474028781056404, 0.04750674217939377, 0.03314651921391487, 0.017588721588253975, -0.0016432375... |
40,065 | 40,065 | ['Jean Stawiaski'] | 1710.02316v1 | This article presents a multiscale patch based convolutional neural network
for the automatic segmentation of brain tumors in multi-modality 3D MR images.
We use multiscale deep supervision and inputs to train a convolutional network.
We evaluate the effectiveness of the proposed approach on the BRATS 2017
segmentation... | A Multiscale Patch Based Convolutional Network for Brain Tumor
Segmentation | 2,017 | http://arxiv.org/pdf/1710.02316v1 | Title Multiscale Patch Based Convolutional Network Brain Tumor Segmentation Summary article present multiscale patch based convolutional neural network automatic segmentation brain tumor multimodality 3D MR image use multiscale deep supervision input train convolutional network evaluate effectiveness proposed approach ... | [0.012574981898069382, 0.028863131999969482, -0.024468066170811653, 0.035078905522823334, 0.020748920738697052, -0.002136578317731619, 0.020098265260457993, -0.005256896838545799, -0.038482341915369034, 0.01709277182817459, 0.0024995834100991488, -0.012051853351294994, -0.029036695137619972, 0.027919813990592957, 0.043... |
40,066 | 40,066 | ['Haresh Karnan', 'Aritra Biswas', 'Pranav Vaidik Dhulipala', 'Jan Dufek', 'Robin Murphy'] | 1710.02932v1 | This paper presents an algorithm and the implementation of a motor schema to
aid the visual localization subsystem of the ongoing EMILY project at Texas A
and M University. The EMILY project aims to team an Unmanned Surface Vehicle
(USV) with an Unmanned Aerial Vehicle (UAV) to augment the search and rescue of
marine c... | Visual Servoing of Unmanned Surface Vehicle from Small Tethered Unmanned
Aerial Vehicle | 2,017 | http://arxiv.org/pdf/1710.02932v1 | Title Visual Servoing Unmanned Surface Vehicle Small Tethered Unmanned Aerial Vehicle Summary paper present algorithm implementation motor schema aid visual localization subsystem ongoing EMILY project Texas University EMILY project aim team Unmanned Surface Vehicle USV Unmanned Aerial Vehicle UAV augment search rescue... | [0.02002064324915409, -0.07735732197761536, 0.04038676619529724, -0.0761386901140213, 0.014677080325782299, -0.01484802458435297, 0.025649717077612877, -0.011767537333071232, -0.028405267745256424, -0.08740463852882385, 0.02755357138812542, 0.03319774195551872, 0.06177973374724388, 0.042873553931713104, 0.0524507686495... |
40,067 | 40,067 | ['Alexander Hann', 'Lucas Bettac', 'Mark M. Haenle', 'Tilmann Graeter', 'Andreas W. Berger', 'Jens Dreyhaupt', 'Dieter Schmalstieg', 'Wolfram G. Zoller', 'Jan Egger'] | 1710.02984v1 | Manual segmentation of hepatic metastases in ultrasound images acquired from
patients suffering from pancreatic cancer is common practice. Semiautomatic
measurements promising assistance in this process are often assessed using a
small number of lesions performed by examiners who already know the algorithm.
In this wor... | Algorithm guided outlining of 105 pancreatic cancer liver metastases in
Ultrasound | 2,017 | http://arxiv.org/pdf/1710.02984v1 | Title Algorithm guided outlining 105 pancreatic cancer liver metastasis Ultrasound Summary Manual segmentation hepatic metastasis ultrasound image acquired patient suffering pancreatic cancer common practice Semiautomatic measurement promising assistance process often assessed using small number lesion performed examin... | [0.029525352641940117, 0.014251992106437683, -0.02245369553565979, -0.0604173019528389, -0.02936682663857937, 0.0050877174362540245, 0.04987061768770218, -0.006127995904535055, -0.04551472142338753, 0.015949198976159096, -0.00038337407750077546, -0.013653798028826714, 0.015171961858868599, 0.011104447767138481, -0.0091... |
40,068 | 40,068 | ['Xiao Xiang Zhu', 'Devis Tuia', 'Lichao Mou', 'Gui-Song Xia', 'Liangpei Zhang', 'Feng Xu', 'Friedrich Fraundorfer'] | 1710.03959v1 | Standing at the paradigm shift towards data-intensive science, machine
learning techniques are becoming increasingly important. In particular, as a
major breakthrough in the field, deep learning has proven as an extremely
powerful tool in many fields. Shall we embrace deep learning as the key to all?
Or, should we resi... | Deep learning in remote sensing: a review | 2,017 | http://arxiv.org/pdf/1710.03959v1 | Title Deep learning remote sensing review Summary Standing paradigm shift towards dataintensive science machine learning technique becoming increasingly important particular major breakthrough field deep learning proven extremely powerful tool many field Shall embrace deep learning key resist blackbox solution controve... | [-0.002299293875694275, 0.05307290330529213, -0.02031989023089409, 0.01326980721205473, -0.026809345930814743, 0.007789770141243935, 0.02949163131415844, -0.07257116585969925, -0.006074346601963043, 0.0194134172052145, 0.040079571306705475, 0.03710867092013359, 0.021632039919495583, 0.06723473221063614, 0.0113321542739... |
40,069 | 40,069 | ['Michael T. McCann', 'Kyong Hwan Jin', 'Michael Unser'] | 1710.04011v1 | In this survey paper, we review recent uses of convolution neural networks
(CNNs) to solve inverse problems in imaging. It has recently become feasible to
train deep CNNs on large databases of images, and they have shown outstanding
performance on object classification and segmentation tasks. Motivated by these
success... | A Review of Convolutional Neural Networks for Inverse Problems in
Imaging | 2,017 | http://arxiv.org/pdf/1710.04011v1 | Title Review Convolutional Neural Networks Inverse Problems Imaging Summary survey paper review recent us convolution neural network CNNs solve inverse problem imaging recently become feasible train deep CNNs large database image shown outstanding performance object classification segmentation task Motivated success re... | [0.015364532358944416, 0.014214767143130302, -0.03227231279015541, 0.010057640261948109, 0.006699857767671347, -0.02938496693968773, -0.020207839086651802, 0.08087220788002014, -0.03146296739578247, 0.062022365629673004, 0.02989913336932659, -0.02900802157819271, -0.022435354068875313, 0.0173669271171093, 0.04569256305... |
40,070 | 40,070 | ['Chun Pong Lau', 'Chun Pang Yung', 'Lok Ming Lui'] | 1710.04034v1 | Image retargeting aims to resize an image to one with a prescribed aspect
ratio. Simple scaling inevitably introduces unnatural geometric distortions on
the important content of the image. In this paper, we propose a simple and yet
effective method to resize an image, which preserves the geometry of the
important conte... | Image retargeting via Beltrami representation | 2,017 | http://arxiv.org/pdf/1710.04034v1 | Title Image retargeting via Beltrami representation Summary Image retargeting aim resize image one prescribed aspect ratio Simple scaling inevitably introduces unnatural geometric distortion important content image paper propose simple yet effective method resize image preserve geometry important content using Beltrami... | [-0.0010984321124851704, -0.013877565972507, -0.0036079171113669872, 0.01677418313920498, -0.01947707124054432, 0.0043552471324801445, 0.005898824892938137, 0.04454367235302925, -0.009549666196107864, -0.028949495404958725, -0.013442478142678738, 0.066514752805233, 0.004560302942991257, 0.036265768110752106, 0.01056060... |
40,071 | 40,071 | ['Enrico Celeghini'] | 1710.04207v1 | We propose an approach to image processing related to algebraic operators
acting in the space of images. In view of the interest in the applications in
optics and computer science, mathematical aspects of the paper have been
simplified as much as possible. Underlying theory, related to rigged Hilbert
spaces and Lie alg... | Algebraic Image Processing | 2,017 | http://arxiv.org/pdf/1710.04207v1 | Title Algebraic Image Processing Summary propose approach image processing related algebraic operator acting space image view interest application optic computer science mathematical aspect paper simplified much possible Underlying theory related rigged Hilbert space Lie algebra discussed elsewhere Authors 0 Ahmed Osma... | [-0.007970803417265415, 0.036156050860881805, -0.014204327017068863, 0.056948333978652954, -0.024614790454506874, 0.0012971345568075776, 0.03213009610772133, 0.03701239451766014, 0.022903956472873688, -0.04239987954497337, -0.002019870560616255, -0.010121609084308147, 0.0010380130261182785, 0.007145656272768974, 0.0132... |
40,072 | 40,072 | ['David Casillas-Perez', 'Daniel Pizarro'] | 1710.04265v1 | The article proves the existence of a maximum of two possible solutions to
the initial value problem composed by the planar-perspective equation and an
initial condition. This initial value problem has a geometric interpretation.
Solutions are curves than pass trough the initial condition which is a point of
the plane. | Solutions of Quadratic First-Order ODEs applied to Computer Vision
Problems | 2,017 | http://arxiv.org/pdf/1710.04265v1 | Title Solutions Quadratic FirstOrder ODEs applied Computer Vision Problems Summary article prof existence maximum two possible solution initial value problem composed planarperspective equation initial condition initial value problem geometric interpretation Solutions curve pas trough initial condition point plane Auth... | [-0.031236277893185616, -0.036252155900001526, 0.014262924902141094, 0.05331365391612053, -0.0034649649169296026, -0.03623482212424278, 0.022495226934552193, 0.021594230085611343, -0.013274871744215488, 0.018258042633533478, 0.11209940165281296, 0.04960455372929573, 0.006156309973448515, 0.019951827824115753, 0.0015563... |
40,073 | 40,073 | ['Peihan Tu'] | 1710.04374v1 | Digital image correlation (DIC) is a widely used optical metrology for
surface deformation measurements. DIC relies on nonlinear optimization method.
Thus an initial guess is quite important due to its influence on the converge
characteristics of the algorithm. In order to obtain a reliable, accurate
initial guess, a r... | Fast, Accurate and Fully Parallelizable Digital Image Correlation | 2,017 | http://arxiv.org/pdf/1710.04374v1 | Title Fast Accurate Fully Parallelizable Digital Image Correlation Summary Digital image correlation DIC widely used optical metrology surface deformation measurement DIC relies nonlinear optimization method Thus initial guess quite important due influence converge characteristic algorithm order obtain reliable accurat... | [-0.02602102980017662, 0.037226997315883636, -0.01551866065710783, 0.049284324049949646, -0.05642608180642128, -0.00898105651140213, 0.025773201137781143, 0.003385088173672557, -0.01527472399175167, 0.06157979369163513, 0.04670755937695503, 0.022233419120311737, 0.0818963423371315, -0.032416243106126785, -0.06023228913... |
40,074 | 40,074 | ['Eman Alibeigi', 'Shadrokh Samavi', 'Shahram Shirani', 'Zahra Rahmani'] | 1710.05027v1 | Fingerprint verification is an important bio-metric technique for personal
identification. Most of the automatic verification systems are based on
matching of fingerprint minutiae. Extraction of minutiae is an essential
process which requires estimation of orientation of the lines in an image. Most
of the existing meth... | Real time ridge orientation estimation for fingerprint images | 2,017 | http://arxiv.org/pdf/1710.05027v1 | Title Real time ridge orientation estimation fingerprint image Summary Fingerprint verification important biometric technique personal identification automatic verification system based matching fingerprint minutia Extraction minutia essential process requires estimation orientation line image existing method involve i... | [-0.006885732989758253, 0.016177602112293243, -0.032315146178007126, 0.03550323098897934, -0.05589569732546806, 0.016255807131528854, 0.08607679605484009, -0.015225316397845745, -0.036520689725875854, 0.012766815721988678, 0.012625210918486118, 0.060676202178001404, 0.07833944261074066, 0.044398725032806396, 0.01222593... |
40,075 | 40,075 | ['Bin Li', 'Hu Luo', 'Haoxin Zhang', 'Shunquan Tan', 'Zhongzhou Ji'] | 1710.05477v1 | Detection of double JPEG compression is important to forensics analysis. A
few methods were proposed based on convolutional neural networks (CNNs). These
methods only accept inputs from pre-processed data, such as histogram features
and/or decompressed images. In this paper, we present a CNN solution by using
raw DCT (... | A multi-branch convolutional neural network for detecting double JPEG
compression | 2,017 | http://arxiv.org/pdf/1710.05477v1 | Title multibranch convolutional neural network detecting double JPEG compression Summary Detection double JPEG compression important forensics analysis method proposed based convolutional neural network CNNs method accept input preprocessed data histogram feature andor decompressed image paper present CNN solution usin... | [0.0016305305762216449, 0.050556790083646774, -0.031659625470638275, 0.08961544930934906, -0.08173525333404541, 0.0009921571472659707, 0.010616280138492584, 0.05240430682897568, -0.0560421347618103, -0.013582796789705753, 0.017602531239390373, 0.01149580255150795, -0.011595621705055237, 0.0020044499542564154, 0.0339029... |
40,076 | 40,076 | ['İlker Bozcan', 'Yağmur Oymak', 'İdil Zeynep Alemdar', 'Sinan Kalkan'] | 1710.05664v1 | Scene models allow robots to reason about what is in the scene, what else
should be in it, and what should not be in it. In this paper, we propose a
hybrid Boltzmann Machine (BM) for scene modeling where relations between
objects are integrated. To be able to do that, we extend BM to include tri-way
edges between visib... | What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine
For Contextualized Scene Modeling | 2,017 | http://arxiv.org/pdf/1710.05664v1 | Title missing wrong scene Hybrid Deep Boltzmann Machine Contextualized Scene Modeling Summary Scene model allow robot reason scene else paper propose hybrid Boltzmann Machine BM scene modeling relation object integrated able extend BM include triway edge visible object node make network share relation across different ... | [0.06651574373245239, 0.0022026102524250746, -0.002230894984677434, 0.056341834366321564, -0.047503452748060226, 0.03536791354417801, 0.08943093568086624, -0.035458289086818695, -0.02623582072556019, -0.004170587752014399, 0.005908796098083258, 0.039492372423410416, -0.0030682722572237253, 0.0857742577791214, -0.003403... |
40,077 | 40,077 | ['Scott Allen Burns'] | 1710.05732v2 | The color sensation evoked by an object depends on both the spectral power
distribution of the illumination and the reflectance properties of the object
being illuminated. The color sensation can be characterized by three
color-space values, such as XYZ, RGB, HSV, L*a*b*, etc. It is straightforward
to compute the three... | Generating Reflectance Curves from sRGB Triplets | 2,017 | http://arxiv.org/pdf/1710.05732v2 | Title Generating Reflectance Curves sRGB Triplets Summary color sensation evoked object depends spectral power distribution illumination reflectance property object illuminated color sensation characterized three colorspace value XYZ RGB HSV Lab etc straightforward compute three value given illuminant reflectance curve... | [0.046672508120536804, -0.0260618906468153, 0.009939235635101795, 0.020829610526561737, -0.018903343006968498, -0.04155290871858597, 0.02342255413532257, 0.02906869910657406, -0.06281626224517822, -0.03462159261107445, -0.03561296686530113, 0.04296844080090523, 0.04322123900055885, 0.03519298508763313, -0.0138603048399... |
40,078 | 40,078 | ['Farshad Kheiri', 'Shadrokh Samavi', 'Nader Karimi'] | 1710.05749v1 | Two critical steps in fingerprint recognition are binarization and thinning
of the image. The need for real time processing motivates us to select local
adaptive thresholding approach for the binarization step. We introduce a new
hardware for this purpose based on pipeline architecture. We propose a formula
for selecti... | Hardware design for binarization and thinning of fingerprint images | 2,017 | http://arxiv.org/pdf/1710.05749v1 | Title Hardware design binarization thinning fingerprint image Summary Two critical step fingerprint recognition binarization thinning image need real time processing motivates u select local adaptive thresholding approach binarization step introduce new hardware purpose based pipeline architecture propose formula selec... | [-0.0032430351711809635, -0.025385307148098946, -0.058808229863643646, 0.013702638447284698, -0.041842442005872726, -0.012973904609680176, 0.0906396210193634, 0.043766867369413376, -0.022009853273630142, 0.05115741491317749, 0.043609049171209335, 0.018277637660503387, 0.04442455992102623, 0.028239741921424866, 0.001692... |
40,079 | 40,079 | ['Leonid P. Yaroslavsky'] | 1710.05985v2 | The problem of minimization of the number of measurements needed for digital
image acquisition and reconstruction with a given accuracy is addressed. Basics
of the sampling theory are outlined to show that the lower bound of signal
sampling rate sufficient for signal reconstruction with a given accuracy is
equal to the... | Compressed Sensing, ASBSR-method of image sampling and reconstruction
and the problem of digital image acquisition with the lowest possible
sampling rate | 2,017 | http://arxiv.org/pdf/1710.05985v2 | Title Compressed Sensing ASBSRmethod image sampling reconstruction problem digital image acquisition lowest possible sampling rate Summary problem minimization number measurement needed digital image acquisition reconstruction given accuracy addressed Basics sampling theory outlined show lower bound signal sampling rat... | [-0.051311347633600235, 0.02807510644197464, -0.01547133456915617, 0.014061822555959225, -0.0366961844265461, -0.022233227267861366, -0.032978855073451996, 0.09023135155439377, -0.0669451355934143, 0.015049382112920284, 0.04281337931752205, 0.046017590910196304, 0.04727423936128616, -0.035617850720882416, -0.0076338481... |
40,080 | 40,080 | ['Da Chen', 'Laurent D. Cohen'] | 1710.06194v1 | In this paper, we propose a new minimal path model for minimally interactive
retinal vessel centerline extraction. The main contribution lies at the
construction of a novel coherence-penalized Riemannian metric in a lifted
space, dependently of the local geometry of tubularity and an external
scalar-valued reference fe... | A New Coherence-Penalized Minimal Path Model with Application to Retinal
Vessel Centerline Delineation | 2,017 | http://arxiv.org/pdf/1710.06194v1 | Title New CoherencePenalized Minimal Path Model Application Retinal Vessel Centerline Delineation Summary paper propose new minimal path model minimally interactive retinal vessel centerline extraction main contribution lie construction novel coherencepenalized Riemannian metric lifted space dependently local geometry ... | [-0.019585564732551575, -0.04083797708153725, -0.011012903414666653, -0.028909534215927124, -0.054556671530008316, -0.04123007133603096, 0.02920287474989891, -0.009059049189090729, -0.007920019328594208, 0.025933407247066498, 0.0711568146944046, 0.015880007296800613, 0.023989183828234673, 0.0650361180305481, -0.0489435... |
40,081 | 40,081 | ['Atsushi Ito', 'Makoto Miura', 'Kazushi Ueda'] | 1710.06205v1 | We discuss the geometry of rational maps from a projective space of an
arbitrary dimension to the product of projective spaces of lower dimensions
induced by linear projections. In particular, we give a purely
algebro-geometric proof of the projective reconstruction theorem by Hartley and
Schaffalitzky [HS09]. | Projective reconstruction in algebraic vision | 2,017 | http://arxiv.org/pdf/1710.06205v1 | Title Projective reconstruction algebraic vision Summary discus geometry rational map projective space arbitrary dimension product projective space lower dimension induced linear projection particular give purely algebrogeometric proof projective reconstruction theorem Hartley Schaffalitzky HS09 Authors 0 Ahmed Osman W... | [-0.04842950403690338, 0.04935863986611366, 0.008452611044049263, 0.07178394496440887, -0.07901526242494583, 0.011596116237342358, 0.008080008439719677, 0.056540872901678085, -0.07400577515363693, 0.006337529513984919, 0.00433615455403924, 0.024447182193398476, 0.029792966321110725, -0.025647420436143875, 0.05581736564... |
40,082 | 40,082 | ['Varuna De Silva', 'Jamie Roche', 'Ahmet Kondoz'] | 1710.06230v1 | Driverless vehicles operate by sensing and perceiving its surrounding
environment to make the accurate driving decisions. A combination of several
different sensors such as LiDAR, radar, ultrasound sensors and cameras are
utilized to sense the surrounding environment of driverless vehicles. The
heterogeneous sensors si... | Fusion of LiDAR and Camera Sensor Data for Environment Sensing in
Driverless Vehicles | 2,017 | http://arxiv.org/pdf/1710.06230v1 | Title Fusion LiDAR Camera Sensor Data Environment Sensing Driverless Vehicles Summary Driverless vehicle operate sensing perceiving surrounding environment make accurate driving decision combination several different sensor LiDAR radar ultrasound sensor camera utilized sense surrounding environment driverless vehicle h... | [-0.014021503739058971, 0.004373387899249792, 0.019136246293783188, 0.040938932448625565, -0.024417798966169357, -0.002015670295804739, 0.014972091652452946, -0.017993614077568054, -0.023984190076589584, 0.025842484086751938, 0.02431494928896427, 0.05860722064971924, 0.05501703917980194, 0.06150403991341591, 0.00278619... |
40,083 | 40,083 | ['Wim Abbeloos', 'Esra Ataer-Cansizoglu', 'Sergio Caccamo', 'Yuichi Taguchi', 'Yukiyasu Domae'] | 1710.06231v1 | Unsupervised object modeling is important in robotics, especially for
handling a large set of objects. We present a method for unsupervised 3D object
discovery, reconstruction, and localization that exploits multiple instances of
an identical object contained in a single RGB-D image. The proposed method does
not rely o... | 3D Object Discovery and Modeling Using Single RGB-D Images Containing
Multiple Object Instances | 2,017 | http://arxiv.org/pdf/1710.06231v1 | Title 3D Object Discovery Modeling Using Single RGBD Images Containing Multiple Object Instances Summary Unsupervised object modeling important robotics especially handling large set object present method unsupervised 3D object discovery reconstruction localization exploit multiple instance identical object contained s... | [0.01051928661763668, -0.028019007295370102, 0.028876004740595818, 0.05230915546417236, -0.012141312472522259, -0.02022109180688858, 0.011322883889079094, -0.022332433611154556, -0.04187940061092377, -0.06873685121536255, 0.01301876176148653, 0.07630696892738342, -0.012220967561006546, 0.024595268070697784, -0.02317363... |
40,084 | 40,084 | ['Ertugrul Bayraktar', 'Pinar Boyraz'] | 1710.06232v1 | The purpose of this study is to provide a detailed performance comparison of
feature detector/descriptor methods, particularly when their various
combinations are used for image-matching. The localization experiments of a
mobile robot in an indoor environment are presented as a case study. In these
experiments, 3090 qu... | Analysis of feature detector and descriptor combinations with a
localization experiment for various performance metrics | 2,017 | http://arxiv.org/pdf/1710.06232v1 | Title Analysis feature detector descriptor combination localization experiment various performance metric Summary purpose study provide detailed performance comparison feature detectordescriptor method particularly various combination used imagematching localization experiment mobile robot indoor environment presented ... | [-0.001937972498126328, -0.0671778991818428, 0.012685666792094707, -0.0024628338869661093, 0.014552908018231392, -0.008403659798204899, 0.06097618490457535, -0.001974306767806411, -0.012799743562936783, -0.05073543265461922, -0.011194285936653614, 0.060584280639886856, 0.04726174473762512, -0.00458947429433465, -0.0092... |
40,085 | 40,085 | ['Marco Carraro', 'Matteo Munaro', 'Jeff Burke', 'Emanuele Menegatti'] | 1710.06235v1 | This paper proposes a novel system to estimate and track the 3D poses of
multiple persons in calibrated RGB-Depth camera networks. The multi-view 3D
pose of each person is computed by a central node which receives the
single-view outcomes from each camera of the network. Each single-view outcome
is computed by using a ... | Real-time marker-less multi-person 3D pose estimation in RGB-Depth
camera networks | 2,017 | http://arxiv.org/pdf/1710.06235v1 | Title Realtime markerless multiperson 3D pose estimation RGBDepth camera network Summary paper proposes novel system estimate track 3D pose multiple person calibrated RGBDepth camera network multiview 3D pose person computed central node receives singleview outcome camera network singleview outcome computed using CNN 2... | [0.0008723736391402781, 0.023485105484724045, 0.043586861342191696, 0.058162909001111984, 0.009148110635578632, 0.01365764532238245, -0.002304637338966131, 0.018105901777744293, -0.018921509385108948, -0.03119373507797718, 0.010169507935643196, -0.013421825133264065, 0.01736823096871376, 0.01122879609465599, 0.06345552... |
40,086 | 40,086 | ['Zhiyu Sun', 'Yusen He', 'Andrey Gritsenko', 'Amaury Lendasse', 'Stephen Baek'] | 1710.06368v1 | A robust and informative local shape descriptor plays an important role in
mesh registration. In this regard, spectral descriptors that are based on the
spectrum of the Laplace-Beltrami operator have gained a spotlight among the
researchers for the last decade due to their desirable properties, such as
isometry invaria... | Deep Spectral Descriptors: Learning the point-wise correspondence metric
via Siamese deep neural networks | 2,017 | http://arxiv.org/pdf/1710.06368v1 | Title Deep Spectral Descriptors Learning pointwise correspondence metric via Siamese deep neural network Summary robust informative local shape descriptor play important role mesh registration regard spectral descriptor based spectrum LaplaceBeltrami operator gained spotlight among researcher last decade due desirable ... | [-0.05632244423031807, 0.013536849990487099, 0.01524538267403841, 0.0361785925924778, -0.01912073604762554, 0.005042077973484993, 0.033562783151865005, -0.011272096075117588, 0.03435911610722542, 0.05223632976412773, -0.024905411526560783, 0.015496313571929932, 0.016195837408304214, 0.057452667504549026, 0.010603187605... |
40,087 | 40,087 | ['Ashraf Qadir', 'Jeremiah Neubert'] | 1710.06495v1 | In this work we present a unified method of relative camera pose estimation
from points and lines correspondences. Given a set of 2D points and lines
correspondences in three views, of which two are known, a method has been
developed for estimating the camera pose of the third view. Novelty of this
algorithm is to comb... | A Line-Point Unified Solution to Relative Camera Pose Estimation | 2,017 | http://arxiv.org/pdf/1710.06495v1 | Title LinePoint Unified Solution Relative Camera Pose Estimation Summary work present unified method relative camera pose estimation point line correspondence Given set 2D point line correspondence three view two known method developed estimating camera pose third view Novelty algorithm combine point line correspondenc... | [-0.020675253123044968, 0.011385646648705006, 0.05939406901597977, 0.03376176208257675, -0.009783603250980377, 0.009381159208714962, 0.009060953743755817, 0.036369048058986664, -0.014779494144022465, -0.053389400243759155, -0.002692924113944173, 0.06270095705986023, 0.0774635300040245, -0.0307955089956522, 0.0351557806... |
40,088 | 40,088 | ['Michel Conrado Cardoso Meneses'] | 1710.06518v1 | Autonomous robots are used as the tool to solve many kinds of problems, such
as environmental mapping and monitoring. Either for adverse conditions related
to the human presence or even for the need to reduce costs, it is certain that
many efforts have been made to develop robots with an increasingly high level
of auto... | Sistema de Navegação Autônomo Baseado em Visão Computacional | 2,017 | http://arxiv.org/pdf/1710.06518v1 | Title Sistema de Navegação Autônomo Baseado em Visão Computacional Summary Autonomous robot used tool solve many kind problem environmental mapping monitoring Either adverse condition related human presence even need reduce cost certain many effort made develop robot increasingly high level autonomy must capable locomo... | [0.02532694675028324, -0.021007277071475983, -0.029374118894338608, 0.000981138669885695, -0.014161829836666584, -0.013710024766623974, 0.010049658827483654, 0.013751212507486343, -0.0028579498175531626, -0.0006003601010888815, 0.0191497802734375, 0.09530153125524521, 0.039728641510009766, 0.03120797872543335, -0.01004... |
40,089 | 40,089 | ['Tom Tirer', 'Raja Giryes'] | 1710.06647v3 | Inverse problems appear in many applications such as image deblurring and
inpainting. The common approach to address them is to design a specific
algorithm for each problem. The Plug-and-Play (P&P) framework, which has been
recently introduced, allows solving general inverse problems by leveraging the
impressive capabi... | Image Restoration by Iterative Denoising and Backward Projections | 2,017 | http://arxiv.org/pdf/1710.06647v3 | Title Image Restoration Iterative Denoising Backward Projections Summary Inverse problem appear many application image deblurring inpainting common approach address design specific algorithm problem PlugandPlay PP framework recently introduced allows solving general inverse problem leveraging impressive capability exis... | [-0.017090948298573494, 0.035190314054489136, 0.019025025889277458, 0.013384802266955376, -0.026668183505535126, -0.03553066775202751, -0.0553608201444149, 0.05282090976834297, -0.05050240829586983, 0.04637905955314636, 0.07952334731817245, 0.01594993844628334, 0.0515475869178772, 0.0014838830102235079, 0.0073210187256... |
40,090 | 40,090 | ['Johan Ekekrantz', 'Nils Bore', 'Rares Ambrus', 'John Folkesson', 'Patric Jensfelt'] | 1710.06929v1 | In this paper we introduce a system for unsupervised object discovery and
segmentation of RGBD-images. The system models the sensor noise directly from
data, allowing accurate segmentation without sensor specific hand tuning of
measurement noise models making use of the recently introduced Statistical
Inlier Estimation... | Unsupervised Object Discovery and Segmentation of RGBD-images | 2,017 | http://arxiv.org/pdf/1710.06929v1 | Title Unsupervised Object Discovery Segmentation RGBDimages Summary paper introduce system unsupervised object discovery segmentation RGBDimages system model sensor noise directly data allowing accurate segmentation without sensor specific hand tuning measurement noise model making use recently introduced Statistical I... | [-0.01950380578637123, -0.009549380280077457, 0.016108298674225807, 0.09530103951692581, -0.020961932837963104, -0.01652476377785206, -0.0009492443059571087, -0.027289576828479767, -0.04008559510111809, 0.02056332863867283, 0.029822465032339096, 0.08080627024173737, 0.012355074286460876, 0.01667552813887596, -0.0420904... |
40,091 | 40,091 | ['Octavio Arriaga', 'Matias Valdenegro-Toro', 'Paul Plöger'] | 1710.07557v1 | In this paper we propose an implement a general convolutional neural network
(CNN) building framework for designing real-time CNNs. We validate our models
by creating a real-time vision system which accomplishes the tasks of face
detection, gender classification and emotion classification simultaneously in
one blended ... | Real-time Convolutional Neural Networks for Emotion and Gender
Classification | 2,017 | http://arxiv.org/pdf/1710.07557v1 | Title Realtime Convolutional Neural Networks Emotion Gender Classification Summary paper propose implement general convolutional neural network CNN building framework designing realtime CNNs validate model creating realtime vision system accomplishes task face detection gender classification emotion classification simu... | [0.04338155314326286, 0.03197750449180603, -0.02531377598643303, 0.017499661073088646, 0.04806170612573624, 0.05274221673607826, 0.03478297218680382, -0.01194757129997015, -0.01544967107474804, -0.01244830060750246, -0.002451589796692133, -0.012807575985789299, -0.024271981790661812, 0.046030040830373764, 0.00699770729... |
40,092 | 40,092 | ['Mo Zhang', 'Xiang Li', 'Mengjia Xu', 'Quanzheng Li'] | 1710.08149v3 | Reliable cell segmentation and classification from biomedical images is a
crucial step for both scientific research and clinical practice. A major
challenge for more robust segmentation and classification methods is the large
variations in the size, shape and viewpoint of the cells, combining with the
low image quality... | Image Segmentation and Classification for Sickle Cell Disease using
Deformable U-Net | 2,017 | http://arxiv.org/pdf/1710.08149v3 | Title Image Segmentation Classification Sickle Cell Disease using Deformable UNet Summary Reliable cell segmentation classification biomedical image crucial step scientific research clinical practice major challenge robust segmentation classification method large variation size shape viewpoint cell combining low image ... | [-0.006797369569540024, -0.023973776027560234, 0.00725529482588172, -0.01928628794848919, 0.0204189270734787, 0.022078990936279297, 0.040321364998817444, -0.0014924088027328253, -0.036075107753276825, 0.05435885116457939, 0.022736024111509323, 0.008145483210682869, -0.01993023231625557, 0.006276124622672796, -0.0232147... |
40,093 | 40,093 | ['Tomoyoshi Shimobaba', 'Yutaka Endo', 'Takashi Nishitsuji', 'Takayuki Takahashi', 'Yuki Nagahama', 'Satoki Hasegawa', 'Marie Sano', 'Ryuji Hirayama', 'Takashi Kakue', 'Atsushi Shiraki', 'Tomoyoshi Ito'] | 1710.08343v1 | Computational ghost imaging (CGI) is a single-pixel imaging technique that
exploits the correlation between known random patterns and the measured
intensity of light transmitted (or reflected) by an object. Although CGI can
obtain two- or three- dimensional images with a single or a few bucket
detectors, the quality of... | Computational ghost imaging using deep learning | 2,017 | http://arxiv.org/pdf/1710.08343v1 | Title Computational ghost imaging using deep learning Summary Computational ghost imaging CGI singlepixel imaging technique exploit correlation known random pattern measured intensity light transmitted reflected object Although CGI obtain two three dimensional image single bucket detector quality reconstructed image re... | [0.0022200769744813442, 0.03639168292284012, 0.03407350927591324, 0.05801491439342499, -0.03967555612325668, -0.02004736289381981, 0.04674668610095978, 0.025388844311237335, -0.03843633085489273, 0.012464862316846848, 0.0512077733874321, -0.013350500725209713, 0.001876046764664352, 0.02625337429344654, 0.04764322936534... |
40,094 | 40,094 | ['Chaitanya Mitash', 'Abdeslam Boularias', 'Kostas E. Bekris'] | 1710.08577v1 | This work proposes a process for efficiently searching over combinations of
individual object 6D pose hypotheses in cluttered scenes, especially in cases
involving occlusions and objects resting on each other. The initial set of
candidate object poses is generated from state-of-the-art object detection and
global point... | Improving 6D Pose Estimation of Objects in Clutter via Physics-aware
Monte Carlo Tree Search | 2,017 | http://arxiv.org/pdf/1710.08577v1 | Title Improving 6D Pose Estimation Objects Clutter via Physicsaware Monte Carlo Tree Search Summary work proposes process efficiently searching combination individual object 6D pose hypothesis cluttered scene especially case involving occlusion object resting initial set candidate object pose generated stateoftheart ob... | [-0.011112386360764503, 0.0070047336630523205, 0.031062163412570953, 0.05172799900174141, -0.0070200469344854355, -0.011069861240684986, 0.018166743218898773, 0.045678917318582535, 0.013698220252990723, -0.0029503502883017063, 0.023795653134584427, -0.0016593693289905787, 0.0334145650267601, -0.05735322833061218, -0.01... |
40,095 | 40,095 | ['Gunjan Sehgal', 'Bindu Gupta', 'Kaushal Paneri', 'Karamjit Singh', 'Geetika Sharma', 'Gautam Shroff'] | 1710.09077v1 | As the world population increases and arable land decreases, it becomes vital
to improve the productivity of the agricultural land available. Given the
weather and soil properties, farmers need to take critical decisions such as
which seed variety to plant and in what proportion, in order to maximize
productivity. Thes... | Crop Planning using Stochastic Visual Optimization | 2,017 | http://arxiv.org/pdf/1710.09077v1 | Title Crop Planning using Stochastic Visual Optimization Summary world population increase arable land decrease becomes vital improve productivity agricultural land available Given weather soil property farmer need take critical decision seed variety plant proportion order maximize productivity decision irreversible un... | [-0.04012693837285042, 0.022054579108953476, -0.028438827022910118, 0.024981867522001266, -0.006549101322889328, -0.04277752339839935, -0.0076181162148714066, -0.008302549831569195, -0.012893576174974442, 0.03416099771857262, 0.07891623675823212, 0.02070094272494316, 0.057967156171798706, 0.09480217099189758, 0.0120981... |
40,096 | 40,096 | ['Srivatsa Prativadibhayankaram', 'Huynh Van Luong', 'Thanh-Ha Le', 'Andre Kaup'] | 1710.09160v1 | In the context of online Robust Principle Component Analysis (RPCA) for the
video foreground-background separation, we propose a compressive online RPCA
with optical flow that separates recursively a sequence of frames into sparse
(foreground) and low-rank (background) components. Our method considers a small
set of me... | Compressive Online Robust Principal Component Analysis with Optical Flow
for Video Foreground-Background Separation | 2,017 | http://arxiv.org/pdf/1710.09160v1 | Title Compressive Online Robust Principal Component Analysis Optical Flow Video ForegroundBackground Separation Summary context online Robust Principle Component Analysis RPCA video foregroundbackground separation propose compressive online RPCA optical flow separate recursively sequence frame sparse foreground lowrank... | [-0.02939741127192974, 0.06961975991725922, 0.01334858126938343, 0.07325759530067444, -0.014498800970613956, -0.003157035680487752, 0.038116615265607834, 0.07637786865234375, -0.09533390402793884, -0.005615638103336096, 0.07771223783493042, -0.0481887049973011, 0.05786938592791557, 0.0035214789677411318, 0.000442821998... |
40,097 | 40,097 | ['Veeru Talreja', 'Terry Ferrett', 'Matthew C. Valenti', 'Arun Ross'] | 1710.09183v1 | Biometric recognition, or simply biometrics, is the use of biological
attributes such as face, fingerprints or iris in order to recognize an
individual in an automated manner. A key application of biometrics is
authentication; i.e., using said biological attributes to provide access by
verifying the claimed identity of... | Biometrics-as-a-Service: A Framework to Promote Innovative Biometric
Recognition in the Cloud | 2,017 | http://arxiv.org/pdf/1710.09183v1 | Title BiometricsasaService Framework Promote Innovative Biometric Recognition Cloud Summary Biometric recognition simply biometrics use biological attribute face fingerprint iris order recognize individual automated manner key application biometrics authentication ie using said biological attribute provide access verif... | [0.042391370981931686, 0.021138085052371025, -0.02797013893723488, -0.021604234352707863, -0.028370864689350128, -0.0009024888277053833, 0.09488224983215332, 0.014399286359548569, 0.01063434686511755, -0.02666376158595085, 0.05484524741768837, 0.03682387247681618, 0.08011744916439056, 0.08086887001991272, 0.00819166377... |
40,098 | 40,098 | ['Matthew Berger', 'Jixian Li', 'Joshua A. Levine'] | 1710.09545v1 | We present a technique to synthesize and analyze volume-rendered images using
generative models. We use the Generative Adversarial Network (GAN) framework to
compute a model from a large collection of volume renderings, conditioned on
(1) viewpoint and (2) transfer functions for opacity and color. Our approach
facilita... | A Generative Model for Volume Rendering | 2,017 | http://arxiv.org/pdf/1710.09545v1 | Title Generative Model Volume Rendering Summary present technique synthesize analyze volumerendered image using generative model use Generative Adversarial Network GAN framework compute model large collection volume rendering conditioned 1 viewpoint 2 transfer function opacity color approach facilitates task volume ana... | [-0.0030579364392906427, -0.00544002465903759, -0.026669412851333618, 0.01321988832205534, -0.016037633642554283, -0.04371118173003197, 0.0463101901113987, -0.02794000692665577, -0.08525057882070541, 0.043668750673532486, -0.003362844465300441, 0.008089287206530571, -0.04974597692489624, 0.044825077056884766, 0.0461066... |
40,099 | 40,099 | ['Rong Kang', 'Chen Wang', 'Peng Wang', 'Yuting Ding', 'Jianmin Wang'] | 1710.10088v3 | Pattern matching of streaming time series with lower latency under limited
computing resource comes to a critical problem, especially as the growth of
Industry 4.0 and Industry Internet of Things. However, against traditional
single pattern matching problem, a pattern may contain multiple segments
representing differen... | Fine-grained Pattern Matching Over Streaming Time Series | 2,017 | http://arxiv.org/pdf/1710.10088v3 | Title Finegrained Pattern Matching Streaming Time Series Summary Pattern matching streaming time series lower latency limited computing resource come critical problem especially growth Industry 40 Industry Internet Things However traditional single pattern matching problem pattern may contain multiple segment represent... | [-0.029867682605981827, 0.06262798607349396, -0.06028658524155617, 0.0014411699958145618, -0.05823153257369995, -0.02005135640501976, 0.026786597445607185, 0.034532587975263596, -0.04216097295284271, -0.011791955679655075, 0.08115241676568985, -0.008630480617284775, 0.020762698724865913, 0.10539867728948593, -0.0264637... |
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