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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40,100 | 40,100 | ['Birgitta Dresp-Langley', 'John Mwangi Wandeto'] | 1710.10648v1 | The quantization error (QE) from SOM applied on time series of spatial
contrast images with variable relative amount of white and dark pixel contents,
as in monochromatic medical images or satellite images, is proven a reliable
indicator of potentially critical changes in image homogeneity. The QE is shown
to increase ... | Using the quantization error from Self-Organized Map (SOM) output for
detecting critical variability in large bodies of image time series in less
than a minute | 2,017 | http://arxiv.org/pdf/1710.10648v1 | Title Using quantization error SelfOrganized Map SOM output detecting critical variability large body image time series le minute Summary quantization error QE SOM applied time series spatial contrast image variable relative amount white dark pixel content monochromatic medical image satellite image proven reliable ind... | [-0.01908038556575775, -0.032649632543325424, -0.03183434158563614, -0.005435798782855272, -0.017827948555350304, 0.012022961862385273, 0.02389809489250183, 0.059538260102272034, -0.006783097516745329, 0.0170311089605093, 0.07015755027532578, -0.023718956857919693, 0.03275691717863083, 0.034246064722537994, -0.01124132... |
40,101 | 40,101 | ['Niels Chr. Overgaard'] | 1710.10985v1 | A new proof of the equivalence of the Taut String Algorithm and the
one-dimensional Rudin-Osher-Fatemi model is presented. Based on duality and the
projection theorem in Hilbert space, the proof is strictly elementary.
Existence and uniqueness of solutions to both denoising models follow as
by-products. The standard co... | On the Taut String Interpretation of the One-dimensional
Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some
Applications | 2,017 | http://arxiv.org/pdf/1710.10985v1 | Title Taut String Interpretation Onedimensional RudinOsherFatemi Model New Proof Fundamental Estimate Applications Summary new proof equivalence Taut String Algorithm onedimensional RudinOsherFatemi model presented Based duality projection theorem Hilbert space proof strictly elementary Existence uniqueness solution de... | [-0.05215369164943695, 0.06475955992937088, -0.006834420375525951, -0.00641814898699522, -0.04423224925994873, -0.024607094004750252, -0.03922034427523613, 0.038064729422330856, -0.03756801411509514, 0.062166888266801834, 0.04078807681798935, 0.03627479448914528, -0.003272358560934663, 0.033750396221876144, -0.02403622... |
40,102 | 40,102 | ['Hyomin Choi', 'Ivan V. Bajic'] | 1710.11151v2 | Image and video compression has traditionally been tailored to human vision.
However, modern applications such as visual analytics and surveillance rely on
computers seeing and analyzing the images before (or instead of) humans. For
these applications, it is important to adjust compression to computer vision.
In this p... | High efficiency compression for object detection | 2,017 | http://arxiv.org/pdf/1710.11151v2 | Title High efficiency compression object detection Summary Image video compression traditionally tailored human vision However modern application visual analytics surveillance rely computer seeing analyzing image instead human application important adjust compression computer vision paper present bit allocation rate co... | [0.001400328939780593, -0.021022964268922806, -0.006209369283169508, 0.06675956398248672, -0.0172791238874197, -0.01715390756726265, 0.005660085938870907, 0.07368887215852737, -0.04907488450407982, -0.06072947755455971, 0.057553112506866455, 0.018820269033312798, -0.026444964110851288, 0.04216981679201126, 0.0038126404... |
40,103 | 40,103 | ['Mohammad Babaeizadeh', 'Chelsea Finn', 'Dumitru Erhan', 'Roy H. Campbell', 'Sergey Levine'] | 1710.11252v2 | Predicting the future in real-world settings, particularly from raw sensory
observations such as images, is exceptionally challenging. Real-world events
can be stochastic and unpredictable, and the high dimensionality and complexity
of natural images requires the predictive model to build an intricate
understanding of ... | Stochastic Variational Video Prediction | 2,017 | http://arxiv.org/pdf/1710.11252v2 | Title Stochastic Variational Video Prediction Summary Predicting future realworld setting particularly raw sensory observation image exceptionally challenging Realworld event stochastic unpredictable high dimensionality complexity natural image requires predictive model build intricate understanding natural world Many ... | [-0.0033074738457798958, 0.07161225378513336, 0.00932296272367239, -0.01565438136458397, -0.0059631275944411755, -0.02650119923055172, 0.010353908874094486, 0.021418321877717972, -0.037625059485435486, -0.009693198837339878, 0.05741972476243973, -0.03512923792004585, 0.005035931710153818, 0.1009950190782547, 0.03497066... |
40,104 | 40,104 | ['Yao Yao', 'Mustafa Mehmet Ali', 'Shahin Vakilinia'] | 1710.11454v1 | This paper is concerned with optimization of distributed broadband wireless
communication (BWC) systems. BWC systems contain a distributed antenna system
(DAS) connected to a base station with optical fiber. Distributed BWC systems
have been proposed as a solution to the power constraint problem in traditional
cellular... | Optimal Resource Allocation in Distributed Broadband Wireless
Communication Systems | 2,017 | http://arxiv.org/pdf/1710.11454v1 | Title Optimal Resource Allocation Distributed Broadband Wireless Communication Systems Summary paper concerned optimization distributed broadband wireless communication BWC system BWC system contain distributed antenna system DAS connected base station optical fiber Distributed BWC system proposed solution power constr... | [0.01662028767168522, -0.03339296206831932, 0.005726712290197611, -0.029015149921178818, -0.03649578243494034, 0.016793502494692802, 0.04399793967604637, -0.017620418220758438, -0.059071134775877, -0.03793943673372269, -0.020949944853782654, -0.028102727606892586, 0.013827767223119736, 0.010757999494671822, -0.04861675... |
40,105 | 40,105 | ['Yu Xiang', 'Tanner Schmidt', 'Venkatraman Narayanan', 'Dieter Fox'] | 1711.00199v2 | Estimating the 6D pose of known objects is important for robots to interact
with the real world. The problem is challenging due to the variety of objects
as well as the complexity of a scene caused by clutter and occlusions between
objects. In this work, we introduce PoseCNN, a new Convolutional Neural Network
for 6D o... | PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
Cluttered Scenes | 2,017 | http://arxiv.org/pdf/1711.00199v2 | Title PoseCNN Convolutional Neural Network 6D Object Pose Estimation Cluttered Scenes Summary Estimating 6D pose known object important robot interact real world problem challenging due variety object well complexity scene caused clutter occlusion object work introduce PoseCNN new Convolutional Neural Network 6D object... | [0.02553819678723812, 0.028056439012289047, 0.05210234969854355, 0.05962161347270012, 0.00803364161401987, -0.008394948206841946, 0.04537677764892578, -0.002550202887505293, 0.014084749855101109, -0.024046920239925385, -0.016415663063526154, 0.022960027679800987, 0.013545548543334007, -0.003099220572039485, 0.016825849... |
40,106 | 40,106 | ['Do-Guk Kim', 'Jong-Uk Hou', 'Heung-Kyu Lee'] | 1711.00207v1 | Color laser printers have fast printing speed and high resolution, and
forgeries using color laser printers can cause significant harm to society. A
source printer identification technique can be employed as a countermeasure to
those forgeries. This paper presents a color laser printer identification
method based on ca... | Learning deep features for source color laser printer identification
based on cascaded learning | 2,017 | http://arxiv.org/pdf/1711.00207v1 | Title Learning deep feature source color laser printer identification based cascaded learning Summary Color laser printer fast printing speed high resolution forgery using color laser printer cause significant harm society source printer identification technique employed countermeasure forgery paper present color laser... | [0.01300816796720028, 0.0913885161280632, -0.005557685159146786, 0.07079148292541504, -0.06124064326286316, 0.0061624315567314625, 0.11209183186292648, 0.01260532345622778, -0.06332822889089584, 0.007375172805041075, -0.014658440835773945, 0.06395525485277176, 0.010393258184194565, 0.0298861525952816, 0.004802367184311... |
40,107 | 40,107 | ['Zhuoxiang Chen', 'Zhe Xu', 'Ya Zhang', 'Xiao Gu'] | 1711.00248v1 | Image-based clothing retrieval is receiving increasing interest with the
growth of online shopping. In practice, users may often have a desired piece of
clothing in mind (e.g., either having seen it before on the street or requiring
certain specific clothing attributes) but may be unable to supply an image as a
query. ... | Query-free Clothing Retrieval via Implicit Relevance Feedback | 2,017 | http://arxiv.org/pdf/1711.00248v1 | Title Queryfree Clothing Retrieval via Implicit Relevance Feedback Summary Imagebased clothing retrieval receiving increasing interest growth online shopping practice user may often desired piece clothing mind eg either seen street requiring certain specific clothing attribute may unable supply image query model proble... | [0.009404048323631287, 0.04332122206687927, 0.01951332949101925, 0.020351247861981392, 0.00015719801012892276, -0.003348244819790125, 0.05150217562913895, 0.03794523701071739, 0.020764222368597984, -0.041825566440820694, -0.05472313612699509, 0.01056232675909996, -0.02108129672706127, 0.05113387852907181, 0.01225031446... |
40,108 | 40,108 | ['Chenyang Shen', 'Yesenia Gonzalez', 'Liyuan Chen', 'Steve B. Jiang', 'Xun Jia'] | 1711.00414v1 | A number of image-processing problems can be formulated as optimization
problems. The objective function typically contains several terms specifically
designed for different purposes. Parameters in front of these terms are used to
control the relative weights among them. It is of critical importance to tune
these param... | Intelligent Parameter Tuning in Optimization-based Iterative CT
Reconstruction via Deep Reinforcement Learning | 2,017 | http://arxiv.org/pdf/1711.00414v1 | Title Intelligent Parameter Tuning Optimizationbased Iterative CT Reconstruction via Deep Reinforcement Learning Summary number imageprocessing problem formulated optimization problem objective function typically contains several term specifically designed different purpose Parameters front term used control relative w... | [-0.039474137127399445, 0.0556199885904789, -0.01710636168718338, 0.011692707426846027, -0.010978059843182564, 0.0014374889433383942, -0.038542263209819794, 0.024010827764868736, -0.12404868006706238, 0.06309708952903748, -0.006007371004670858, -0.01178060658276081, -0.008228902705013752, 0.051311083137989044, 0.008128... |
40,109 | 40,109 | ['Shubham Jain', 'Marco Gruteser'] | 1711.00558v1 | As smartphone rooted distractions become commonplace, the lack of compelling
safety measures has led to a rise in the number of injuries to distracted
walkers. Various solutions address this problem by sensing a pedestrian's
walking environment. Existing camera-based approaches have been largely limited
to obstacle det... | Recognizing Textures with Mobile Cameras for Pedestrian Safety
Applications | 2,017 | http://arxiv.org/pdf/1711.00558v1 | Title Recognizing Textures Mobile Cameras Pedestrian Safety Applications Summary smartphone rooted distraction become commonplace lack compelling safety measure led rise number injury distracted walker Various solution address problem sensing pedestrian walking environment Existing camerabased approach largely limited ... | [-0.0043292660266160965, 0.005829622969031334, -0.008188653737306595, 0.053384795784950256, 0.0065162405371665955, 0.018665287643671036, 0.00571722537279129, -0.04425829276442528, -0.01776767149567604, -0.018254483118653297, 0.04979716241359711, 0.05578809231519699, 0.03419259190559387, -0.05660712346434593, -0.0175466... |
40,110 | 40,110 | ['Björn Barz', 'Joachim Denzler'] | 1711.00953v1 | Query images presented to content-based image retrieval systems often have
various different interpretations, making it difficult to identify the search
objective pursued by the user. We propose a technique for overcoming this
ambiguity, while keeping the amount of required user interaction at a minimum.
To achieve thi... | Automatic Query Image Disambiguation for Content-Based Image Retrieval | 2,017 | http://arxiv.org/pdf/1711.00953v1 | Title Automatic Query Image Disambiguation ContentBased Image Retrieval Summary Query image presented contentbased image retrieval system often various different interpretation making difficult identify search objective pursued user propose technique overcoming ambiguity keeping amount required user interaction minimum... | [0.01743987202644348, 0.014988509938120842, -0.023033488541841507, 0.03163342922925949, -0.02354104444384575, 0.027892284095287323, 0.06702911853790283, 0.043906208127737045, 0.0327855683863163, -0.03367762267589569, 0.012206584215164185, 0.03131973370909691, 0.0012837119866162539, -0.004209838341921568, -0.01366715505... |
40,111 | 40,111 | ['Behnaz Rezaei', 'Sarah Ostadabbas'] | 1711.01218v1 | Background subtraction is the primary task of the majority of video
inspection systems. The most important part of the background subtraction which
is common among different algorithms is background modeling. In this regard,
our paper addresses the problem of background modeling in a computationally
efficient way, whic... | Background Subtraction via Fast Robust Matrix Completion | 2,017 | http://arxiv.org/pdf/1711.01218v1 | Title Background Subtraction via Fast Robust Matrix Completion Summary Background subtraction primary task majority video inspection system important part background subtraction common among different algorithm background modeling regard paper address problem background modeling computationally efficient way important ... | [0.014328980818390846, 0.04310448467731476, -0.016333526000380516, 0.04376600682735443, -0.0035316594876348972, 0.0036777553614228964, 0.0040240841917693615, 0.03912518918514252, -0.029714664444327354, -0.018613522872328758, 0.05476055666804314, -0.009739292785525322, 0.06400848925113678, 0.007303017191588879, -0.02314... |
40,112 | 40,112 | ['Katherine L. Bouman', 'Michael D. Johnson', 'Adrian V. Dalca', 'Andrew A. Chael', 'Freek Roelofs', 'Sheperd S. Doeleman', 'William T. Freeman'] | 1711.01357v2 | Very long baseline interferometry (VLBI) makes it possible to recover images
of astronomical sources with extremely high angular resolution. Most recently,
the Event Horizon Telescope (EHT) has extended VLBI to short millimeter
wavelengths with a goal of achieving angular resolution sufficient for imaging
the event hor... | Reconstructing Video from Interferometric Measurements of Time-Varying
Sources | 2,017 | http://arxiv.org/pdf/1711.01357v2 | Title Reconstructing Video Interferometric Measurements TimeVarying Sources Summary long baseline interferometry VLBI make possible recover image astronomical source extremely high angular resolution recently Event Horizon Telescope EHT extended VLBI short millimeter wavelength goal achieving angular resolution suffici... | [-0.01074757520109415, -0.0170028954744339, 0.043354425579309464, 0.014147401787340641, -0.07123586535453796, -0.003482036292552948, 0.008042287081480026, 0.08472508192062378, -0.03404246270656586, 0.021075675264000893, 0.0575743205845356, -0.03396375849843025, 0.008370576426386833, 0.059761058539152145, -0.00197999202... |
40,113 | 40,113 | ['Jianshu Zhang', 'Yixing Zhu', 'Jun Du', 'Lirong Dai'] | 1711.01889v1 | Chinese characters have a huge set of character categories, more than 20,000
and the number is still increasing as more and more novel characters continue
being created. However, the enormous characters can be decomposed into a few
fundamental structural radicals, only about 500. This paper introduces the
Radical Analy... | RAN: Radical analysis networks for zero-shot learning of Chinese
characters | 2,017 | http://arxiv.org/pdf/1711.01889v1 | Title RAN Radical analysis network zeroshot learning Chinese character Summary Chinese character huge set character category 20000 number still increasing novel character continue created However enormous character decomposed fundamental structural radical 500 paper introduces Radical Analysis Networks RAN recognize Ch... | [0.00922031607478857, 0.040811821818351746, -0.0013082424411550164, 0.10237102955579758, -0.0014592802617698908, 0.02410712279379368, 0.021144993603229523, 0.03807560354471207, -0.03461969271302223, 0.0011147743789479136, -0.011052001267671585, -0.045133329927921295, 0.01489515695720911, 0.07761463522911072, -0.0052190... |
40,114 | 40,114 | ['Al-Hussein A. El-Shafie', 'S. E. D. Habib'] | 1711.02441v1 | Visual object tracking is an active topic in the computer vision domain with
applications extending over numerous fields. The main sub-tasks required to
build an object tracker (e.g. object detection, feature extraction and object
tracking) are computation-intensive. In addition, real-time operation of the
tracker is i... | A Survey on Hardware Implementations of Visual Object Trackers | 2,017 | http://arxiv.org/pdf/1711.02441v1 | Title Survey Hardware Implementations Visual Object Trackers Summary Visual object tracking active topic computer vision domain application extending numerous field main subtasks required build object tracker eg object detection feature extraction object tracking computationintensive addition realtime operation tracker... | [0.016874412074685097, 0.013083654455840588, 0.013563946820795536, 0.062179531902074814, -0.008628670126199722, -0.026206256821751595, 0.03199134021997452, 0.031571321189403534, 0.005721655208617449, -0.03321065008640289, 0.03596630319952965, 0.013957090675830841, 0.01227507833391428, 0.027369152754545212, 0.0009008566... |
40,115 | 40,115 | ['Shan Luo', 'Joao Bimbo', 'Ravinder Dahiya', 'Hongbin Liu'] | 1711.03810v1 | Touch sensing can help robots understand their sur- rounding environment, and
in particular the objects they interact with. To this end, roboticists have, in
the last few decades, developed several tactile sensing solutions, extensively
reported in the literature. Research into interpreting the conveyed tactile
informa... | Robotic Tactile Perception of Object Properties: A Review | 2,017 | http://arxiv.org/pdf/1711.03810v1 | Title Robotic Tactile Perception Object Properties Review Summary Touch sensing help robot understand sur rounding environment particular object interact end roboticists last decade developed several tactile sensing solution extensively reported literature Research interpreting conveyed tactile information also started... | [-0.0018779552774503827, -0.09868413209915161, -0.0254374910145998, 0.0019299742998555303, 0.006455059163272381, -0.009303184226155281, 0.015643207356333733, -0.013726175762712955, -0.006741072982549667, -0.03381893411278725, -0.05137501657009125, 0.004025550559163094, 0.019521448761224747, 0.05322473496198654, -0.0106... |
40,116 | 40,116 | ['Redouane Lguensat', 'Miao Sun', 'Ronan Fablet', 'Evan Mason', 'Pierre Tandeo', 'Ge Chen'] | 1711.03954v1 | This work presents EddyNet, a deep learning based architecture for automated
eddy detection and classification from Sea Surface Height (SSH) maps provided
by the Copernicus Marine and Environment Monitoring Service (CMEMS). EddyNet is
a U-Net like network that consists of a convolutional encoder-decoder followed
by a p... | EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic
Eddies | 2,017 | http://arxiv.org/pdf/1711.03954v1 | Title EddyNet Deep Neural Network PixelWise Classification Oceanic Eddies Summary work present EddyNet deep learning based architecture automated eddy detection classification Sea Surface Height SSH map provided Copernicus Marine Environment Monitoring Service CMEMS EddyNet UNet like network consists convolutional enco... | [-0.023897254839539528, -0.024447094649076462, -0.015463524498045444, 0.05556383356451988, 0.015083977952599525, 0.021073371171951294, 0.048208314925432205, -0.04400543496012688, 0.020078789442777634, 0.05632142722606659, 0.001317417249083519, -0.030221788212656975, 0.025188861414790154, 0.07248468697071075, 0.02907608... |
40,117 | 40,117 | ['Christian S. Perone'] | 1711.04069v1 | In this work, we propose a straightforward method to derive Elliptic Curve
Digital Signature Algorithm (ECDSA) key pairs from embeddings created using
Deep Learning and Metric Learning approaches. We also show that these keys
allows the derivation of cryptocurrencies (such as Bitcoin) addresses that can
be used to tran... | Towards ECDSA key derivation from deep embeddings for novel Blockchain
applications | 2,017 | http://arxiv.org/pdf/1711.04069v1 | Title Towards ECDSA key derivation deep embeddings novel Blockchain application Summary work propose straightforward method derive Elliptic Curve Digital Signature Algorithm ECDSA key pair embeddings created using Deep Learning Metric Learning approach also show key allows derivation cryptocurrencies Bitcoin address us... | [0.004781337920576334, -0.0003623706288635731, -0.014044739305973053, 0.038262609392404556, 0.005121555179357529, 0.002843162277713418, 0.037181247025728226, 0.007990064099431038, 0.02219364605844021, 0.02253326028585434, 0.026010895147919655, 0.0407998189330101, -0.030768126249313354, 0.08412227034568787, 0.0497873313... |
40,118 | 40,118 | ['Jan Egger', 'Christopher Nimsky', 'Xiaojun Chen'] | 1711.04592v1 | In this contribution, we used the GrowCut segmentation algorithm publicly
available in three-dimensional Slicer for three-dimensional segmentation of
vertebral bodies. To the best of our knowledge, this is the first time that the
GrowCut method has been studied for the usage of vertebral body segmentation.
In brief, we... | Vertebral body segmentation with GrowCut: Initial experience, workflow
and practical application | 2,017 | http://arxiv.org/pdf/1711.04592v1 | Title Vertebral body segmentation GrowCut Initial experience workflow practical application Summary contribution used GrowCut segmentation algorithm publicly available threedimensional Slicer threedimensional segmentation vertebral body best knowledge first time GrowCut method studied usage vertebral body segmentation ... | [0.05723408982157707, 0.013875731267035007, -0.01477334275841713, -0.002597659593448043, -0.03477157652378082, 0.02260420098900795, 0.04570377990603447, 0.0630449578166008, -0.0351017490029335, -0.008908778429031372, 0.08148843795061111, 0.005343210883438587, 0.06835366785526276, 0.01153090875595808, 0.0019139723153784... |
40,119 | 40,119 | ['Gisele H. B. Miranda', 'Jeaneth Machicao', 'Odemir M. Bruno'] | 1711.05104v1 | The structural analysis of shape boundaries leads to the characterization of
objects as well as to the understanding of shape properties. The literature on
graphs and networks have contributed to the structural characterization of
shapes with different theoretical approaches. We performed a study on the
relationship be... | An optimized shape descriptor based on structural properties of networks | 2,017 | http://arxiv.org/pdf/1711.05104v1 | Title optimized shape descriptor based structural property network Summary structural analysis shape boundary lead characterization object well understanding shape property literature graph network contributed structural characterization shape different theoretical approach performed study relationship shape architectu... | [-0.0638202577829361, -0.01611248403787613, -0.010794141329824924, 0.060884635895490646, 0.0047398703172802925, -0.03846970945596695, 0.017400670796632767, -0.027021195739507675, 0.01603398285806179, 0.02573314495384693, 0.01717880554497242, -0.00995813962072134, 0.00489409826695919, 0.08941469341516495, 0.013553314842... |
40,120 | 40,120 | ['Nuri Murat Arar', 'Jean-Philippe Thiran'] | 1711.05444v2 | Despite significant advances in improving the gaze tracking accuracy under
controlled conditions, the tracking robustness under real-world conditions,
such as large head pose and movements, use of eyeglasses, illumination and eye
type variations, remains a major challenge in eye tracking. In this paper, we
revisit this... | Robust Real-Time Multi-View Eye Tracking | 2,017 | http://arxiv.org/pdf/1711.05444v2 | Title Robust RealTime MultiView Eye Tracking Summary Despite significant advance improving gaze tracking accuracy controlled condition tracking robustness realworld condition large head pose movement use eyeglass illumination eye type variation remains major challenge eye tracking paper revisit challenge introduce real... | [0.006547263357788324, -0.009410165250301361, 0.02397633157670498, -0.007823134772479534, 0.06603861600160599, 0.0072309477254748344, 0.03118429146707058, 0.010682825930416584, 0.02920716255903244, -0.003417037194594741, 0.00936468318104744, 0.017765238881111145, 0.0804625004529953, 0.04944498464465141, 0.0630085989832... |
40,121 | 40,121 | ['Appina Balasubramanyam', 'Jalli Akshith', 'Battula Shanmukh Srinivas', 'Channappayya S Sumohana'] | 1711.05480v1 | We present a no reference (NR) quality assessment algorithm for assessing the
perceptual quality of natural stereoscopic 3D (S3D) videos. This work is
inspired by our finding that the joint statistics of the subband coefficients
of motion (optical flow or motion vector magnitude) and depth (disparity map)
of natural S3... | No Reference Stereoscopic Video Quality Assessment Using Joint Motion
and Depth Statistics | 2,017 | http://arxiv.org/pdf/1711.05480v1 | Title Reference Stereoscopic Video Quality Assessment Using Joint Motion Depth Statistics Summary present reference NR quality assessment algorithm assessing perceptual quality natural stereoscopic 3D S3D video work inspired finding joint statistic subband coefficient motion optical flow motion vector magnitude depth d... | [0.012894564308226109, 0.045505132526159286, 0.040236566215753555, 0.022425085306167603, -0.017837511375546455, -0.011780406348407269, 0.02484266459941864, 0.019940948113799095, -0.07378830015659332, -0.038810987025499344, 0.0044715492986142635, 1.2707369023701176e-05, 0.07516500353813171, 0.06894182413816452, -0.00021... |
40,122 | 40,122 | ['Zhedong Zheng', 'Liang Zheng', 'Michael Garrett', 'Yi Yang', 'Yi-Dong Shen'] | 1711.05535v2 | This paper considers the task of matching images and sentences. The challenge
consists in discriminatively embedding the two modalities onto a shared
visual-textual space. Existing work in this field largely uses Recurrent Neural
Networks (RNN) for text feature learning and employs off-the-shelf
Convolutional Neural Ne... | Dual-Path Convolutional Image-Text Embedding | 2,017 | http://arxiv.org/pdf/1711.05535v2 | Title DualPath Convolutional ImageText Embedding Summary paper considers task matching image sentence challenge consists discriminatively embedding two modality onto shared visualtextual space Existing work field largely us Recurrent Neural Networks RNN text feature learning employ offtheshelf Convolutional Neural Netw... | [0.03355899825692177, 0.04533850774168968, -0.001534031005576253, 0.09725730121135712, -0.04578631371259689, -0.02139577455818653, 0.012287022545933723, 0.005848543252795935, -0.02324512228369713, -0.03746137395501137, -0.03845489025115967, 0.0026236940175294876, -0.03571614995598793, 0.040368400514125824, 0.0313828513... |
40,123 | 40,123 | ['Guowei Wan', 'Xiaolong Yang', 'Renlan Cai', 'Hao Li', 'Hao Wang', 'Shiyu Song'] | 1711.05805v1 | We present a robust and precise localization system that achieves
centimeter-level localization accuracy in disparate city scenes. Our system
adaptively uses information from complementary sensors such as GNSS, LiDAR, and
IMU to achieve high localization accuracy and resilience in challenging scenes,
such as urban down... | Robust and Precise Vehicle Localization based on Multi-sensor Fusion in
Diverse City Scenes | 2,017 | http://arxiv.org/pdf/1711.05805v1 | Title Robust Precise Vehicle Localization based Multisensor Fusion Diverse City Scenes Summary present robust precise localization system achieves centimeterlevel localization accuracy disparate city scene system adaptively us information complementary sensor GNSS LiDAR IMU achieve high localization accuracy resilience... | [0.00796118937432766, -0.024537155404686928, 0.02447124570608139, -0.0024401224218308926, -0.004854128230363131, 0.010881270281970501, 0.027408592402935028, -0.05479246750473976, -0.05126824602484703, 0.00830870121717453, 0.014660823158919811, 0.05393451452255249, 0.04944373667240143, 0.04625526815652847, 0.00613682903... |
40,124 | 40,124 | ['John Stechschulte', 'Christoffer Heckman'] | 1711.05864v1 | When registering point clouds resolved from an underlying 2-D pixel
structure, such as those resulting from structured light and flash LiDAR
sensors, or stereo reconstruction, it is expected that some points in one cloud
do not have corresponding points in the other cloud, and that these would occur
together, such as a... | Hidden Markov Random Field Iterative Closest Point | 2,017 | http://arxiv.org/pdf/1711.05864v1 | Title Hidden Markov Random Field Iterative Closest Point Summary registering point cloud resolved underlying 2D pixel structure resulting structured light flash LiDAR sensor stereo reconstruction expected point one cloud corresponding point cloud would occur together along edge depth map work hidden Markov random field... | [-0.014030983671545982, -0.011216454207897186, 0.047626134008169174, 0.026597488671541214, -0.025573184713721275, 0.019959351047873497, 0.010858023539185524, 0.023198729380965233, -0.04602193459868431, 0.01691105216741562, 0.029086362570524216, 0.028017789125442505, 0.05646698176860809, 0.031421761959791183, 0.00194870... |
40,125 | 40,125 | ['He Zhang', 'Hanlin Mo', 'You Hao', 'Shirui Li', 'Hua Li'] | 1711.05866v2 | Chirality plays an important role in physics, chemistry, biology, and other
fields. It describes an essential symmetry in structure. However, chirality
invariants are usually complicated in expression or difficult to evaluate. In
this paper, we present five general three-dimensional chirality invariants
based on the ge... | Fast and Efficient Calculations of Structural Invariants of Chirality | 2,017 | http://arxiv.org/pdf/1711.05866v2 | Title Fast Efficient Calculations Structural Invariants Chirality Summary Chirality play important role physic chemistry biology field describes essential symmetry structure However chirality invariant usually complicated expression difficult evaluate paper present five general threedimensional chirality invariant base... | [0.0049814824014902115, -0.04241201654076576, -0.014214489609003067, 0.04394439607858658, -0.060399074107408524, 0.009806739166378975, 0.02491125836968422, -0.020395152270793915, -0.015087700448930264, -0.01889663189649582, 0.006125128362327814, 0.0036751271691173315, -0.006157830823212862, 0.023952631279826164, -0.018... |
40,126 | 40,126 | ['Rüdiger Göbl', 'Nassir Navab', 'Christoph Hennersperger'] | 1711.06127v2 | Research in ultrasound imaging is limited in reproducibility by two factors:
First, many existing ultrasound pipelines are protected by intellectual
property, rendering exchange of code difficult. Second, most pipelines are
implemented in special hardware, resulting in limited flexibility of
implemented processing step... | SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time
Applications | 2,017 | http://arxiv.org/pdf/1711.06127v2 | Title SUPRA Open Source Software Defined Ultrasound Processing RealTime Applications Summary Research ultrasound imaging limited reproducibility two factor First many existing ultrasound pipeline protected intellectual property rendering exchange code difficult Second pipeline implemented special hardware resulting lim... | [0.013372539542615414, 0.030613070353865623, -0.037379685789346695, -0.05314336344599724, 0.00032734626438468695, -0.022768959403038025, 0.0954064205288887, 0.015516955405473709, -0.03566626459360123, 0.04248476400971413, 0.03316755220293999, -0.0422961488366127, 0.0462055467069149, 0.1430140733718872, 0.01135779172182... |
40,127 | 40,127 | ['Atique ur Rehman', 'Rafia Rahim', 'M Shahroz Nadeem', 'Sibt ul Hussain'] | 1711.07201v1 | All the existing image steganography methods use manually crafted features to
hide binary payloads into cover images. This leads to small payload capacity
and image distortion. Here we propose a convolutional neural network based
encoder-decoder architecture for embedding of images as payload. To this end,
we make foll... | End-to-end Trained CNN Encode-Decoder Networks for Image Steganography | 2,017 | http://arxiv.org/pdf/1711.07201v1 | Title Endtoend Trained CNN EncodeDecoder Networks Image Steganography Summary existing image steganography method use manually crafted feature hide binary payload cover image lead small payload capacity image distortion propose convolutional neural network based encoderdecoder architecture embedding image payload end m... | [0.006394868716597557, 0.04316510632634163, 0.0010154483607038856, 0.06216181442141533, -0.030888870358467102, -0.02373252436518669, 0.08420372754335403, 0.02039102092385292, -0.03684595599770546, 0.014804872684180737, 0.027877017855644226, 0.04805581644177437, -0.013464989140629768, 0.12827913463115692, 0.061885990202... |
40,128 | 40,128 | ['Weiyao Lin', 'Yang Mi', 'Jianxin Wu', 'Ke Lu', 'Hongkai Xiong'] | 1711.07430v1 | Action recognition is an important yet challenging task in computer vision.
In this paper, we propose a novel deep-based framework for action recognition,
which improves the recognition accuracy by: 1) deriving more precise features
for representing actions, and 2) reducing the asynchrony between different
information ... | Action Recognition with Coarse-to-Fine Deep Feature Integration and
Asynchronous Fusion | 2,017 | http://arxiv.org/pdf/1711.07430v1 | Title Action Recognition CoarsetoFine Deep Feature Integration Asynchronous Fusion Summary Action recognition important yet challenging task computer vision paper propose novel deepbased framework action recognition improves recognition accuracy 1 deriving precise feature representing action 2 reducing asynchrony diffe... | [-0.07669473439455032, 0.019651692360639572, 0.004882486537098885, 0.04680868610739708, 0.018541790544986725, 0.06070544198155403, 0.009100385941565037, -0.009008717723190784, -0.009114346466958523, -0.08302848786115646, -0.027450554072856903, -0.022979293018579483, 0.01768859475851059, 0.10865869373083115, 0.010438333... |
40,129 | 40,129 | ['Xingxing Zuo', 'Xiaojia Xie', 'Yong Liu', 'Guoquan Huang'] | 1711.08654v1 | In this paper, we develop a robust efficient visual SLAM system that utilizes
heterogeneous point and line features. By leveraging ORB-SLAM [1], the proposed
system consists of stereo matching, frame tracking, local mapping, loop
detection, and bundle adjustment of both point and line features. In
particular, as the ma... | Robust Visual SLAM with Point and Line Features | 2,017 | http://arxiv.org/pdf/1711.08654v1 | Title Robust Visual SLAM Point Line Features Summary paper develop robust efficient visual SLAM system utilizes heterogeneous point line feature leveraging ORBSLAM 1 proposed system consists stereo matching frame tracking local mapping loop detection bundle adjustment point line feature particular main theoretical cont... | [-0.0031567018013447523, -0.015326186083257198, 0.006686405744403601, 0.021602647379040718, -0.009046399034559727, 0.002988337306305766, 0.022627972066402435, -0.016121238470077515, 0.08497324585914612, -0.0355934239923954, -0.023719720542430878, 0.09477812051773071, 0.0507836788892746, 0.07771285623311996, -0.01587637... |
40,130 | 40,130 | ['Wenjie Pei', 'Hamdi Dibeklioğlu', 'Tadas Baltrušaitis', 'David M. J. Tax'] | 1711.08690v1 | The main challenges of age estimation from facial expression videos lie not
only in the modeling of the static facial appearance, but also in the capturing
of the temporal facial dynamics. Traditional techniques to this problem focus
on constructing handcrafted features to explore the discriminative information
contain... | Attended End-to-end Architecture for Age Estimation from Facial
Expression Videos | 2,017 | http://arxiv.org/pdf/1711.08690v1 | Title Attended Endtoend Architecture Age Estimation Facial Expression Videos Summary main challenge age estimation facial expression video lie modeling static facial appearance also capturing temporal facial dynamic Traditional technique problem focus constructing handcrafted feature explore discriminative information ... | [0.016517456620931625, 0.052901603281497955, 0.011234311386942863, 0.05690415948629379, 0.038867853581905365, 0.032514359802007675, 0.03918704763054848, 0.00568694481626153, -0.014193756505846977, 0.007051695603877306, -0.0016778027638792992, -0.03290786221623421, 0.0011309916153550148, 0.06520519405603409, 0.032745484... |
40,131 | 40,131 | ['Shangzhe Wu', 'Jiarui Xu', 'Yu-Wing Tai', 'Chi-Keung Tang'] | 1711.08937v1 | This paper proposes the first end-to-end deep framework for high dynamic
range (HDR) imaging of dynamic scenes with large-scale foreground motions. In
state-of-the-art deep HDR imaging such as [13], the problem is formulated as an
image composition problem, by first aligning input images using optical flows
which are s... | End-to-End Deep HDR Imaging with Large Foreground Motions | 2,017 | http://arxiv.org/pdf/1711.08937v1 | Title EndtoEnd Deep HDR Imaging Large Foreground Motions Summary paper proposes first endtoend deep framework high dynamic range HDR imaging dynamic scene largescale foreground motion stateoftheart deep HDR imaging 13 problem formulated image composition problem first aligning input image using optical flow still error... | [-0.05463867262005806, 0.02880837768316269, 0.024343591183423996, 0.012349228374660015, -0.046749986708164215, -0.002260277047753334, 0.01523458119481802, 0.053827546536922455, -0.05892904847860336, -0.004379309713840485, 0.046989668160676956, -0.002277583349496126, 0.04083261638879776, 0.03030390664935112, 0.004519449... |
40,132 | 40,132 | ['Sherif Abdulatif', 'Fady Aziz', 'Bernhard Kleiner', 'Urs Schneider'] | 1711.09175v1 | Unique micro-Doppler signature ($\boldsymbol{\mu}$-D) of a human body motion
can be analyzed as the superposition of different body parts
$\boldsymbol{\mu}$-D signatures. Extraction of human limbs $\boldsymbol{\mu}$-D
signatures in real-time can be used to detect, classify and track human motion
especially for safety a... | Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human
Limbs | 2,017 | http://arxiv.org/pdf/1711.09175v1 | Title RealTime Capable MicroDoppler Signature Decomposition Walking Human Limbs Summary Unique microDoppler signature boldsymbolmuD human body motion analyzed superposition different body part boldsymbolmuD signature Extraction human limb boldsymbolmuD signature realtime used detect classify track human motion especial... | [-0.021667975932359695, -0.03206481412053108, -0.007548514753580093, 0.009586920961737633, -0.0032729175873100758, 0.04353915899991989, 0.02217240445315838, 0.0278793852776289, -0.03972981125116348, -0.0394434928894043, 0.07562171667814255, 0.004578629042953253, 0.06021588668227196, 0.0038263064343482256, 0.00221562990... |
40,133 | 40,133 | ['Sherif Abdulatif', 'Qian Wei', 'Fady Aziz', 'Bernhard Kleiner', 'Urs Schneider'] | 1711.09177v3 | Radar sensors can be used for analyzing the induced frequency shifts due to
micro-motions in both range and velocity dimensions identified as micro-Doppler
($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
Different moving targets will have unique $\boldsymbol{\mu}$-D and
$\boldsymbol{\mu}$-R... | Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep
Learning Approaches | 2,017 | http://arxiv.org/pdf/1711.09177v3 | Title MicroDoppler Based HumanRobot Classification Using Ensemble Deep Learning Approaches Summary Radar sensor used analyzing induced frequency shift due micromotions range velocity dimension identified microDoppler boldsymbolmuD microRange boldsymbolmuR respectively Different moving target unique boldsymbolmuD boldsy... | [-0.01837140880525112, -0.010343312285840511, 0.008607633411884308, -0.026840543374419212, -0.002127613639459014, 0.025169117376208305, 0.04600023850798607, -0.05886228382587433, -0.02204683981835842, -0.010715732350945473, 0.020567914471030235, 0.019479377195239067, 0.026334641501307487, 0.01682358607649803, 0.0089429... |
40,134 | 40,134 | ['Khanh Quoc Dinh', 'Thuong Nguyen Canh', 'Byeungwoo Jeon'] | 1711.09375v1 | This paper addresses an ill-posed problem of recovering a color image from
its compressively sensed measurement data. Differently from the typical 1D
vector-based approach of the state-of-the-art methods, we exploit the nonlocal
similarities inherently existing in images by treating each patch of a color
image as a 3D ... | Compressive Sensing of Color Images Using Nonlocal Higher Order
Dictionary | 2,017 | http://arxiv.org/pdf/1711.09375v1 | Title Compressive Sensing Color Images Using Nonlocal Higher Order Dictionary Summary paper address illposed problem recovering color image compressively sensed measurement data Differently typical 1D vectorbased approach stateoftheart method exploit nonlocal similarity inherently existing image treating patch color im... | [-0.028482213616371155, 0.061572324484586716, 0.007412059232592583, 0.04619161784648895, -0.006523077841848135, 0.027885420247912407, -0.004424540791660547, 0.07272128760814667, -0.018241893500089645, 0.00946730561554432, 0.0278128944337368, -0.008579576388001442, 0.025071481242775917, -0.031248195096850395, -0.0014032... |
40,135 | 40,135 | ['Anthony Yezzi', 'Ganesh Sundaramoorthi'] | 1711.09867v1 | Following the seminal work of Nesterov, accelerated optimization methods have
been used to powerfully boost the performance of first-order, gradient-based
parameter estimation in scenarios where second-order optimization strategies
are either inapplicable or impractical. Not only does accelerated gradient
descent conve... | Accelerated Optimization in the PDE Framework: Formulations for the
Active Contour Case | 2,017 | http://arxiv.org/pdf/1711.09867v1 | Title Accelerated Optimization PDE Framework Formulations Active Contour Case Summary Following seminal work Nesterov accelerated optimization method used powerfully boost performance firstorder gradientbased parameter estimation scenario secondorder optimization strategy either inapplicable impractical accelerated gra... | [-0.039497338235378265, -0.0013083390658721328, -0.01715286262333393, 0.019261319190263748, -0.022215159609913826, -0.02528265304863453, 0.01485354918986559, -0.004030917771160603, -0.05893952026963234, 0.04804141819477081, 0.030535012483596802, -0.029549745842814445, -0.030873801559209824, 0.04686571657657623, -0.0104... |
40,136 | 40,136 | ['Ping Guo', 'Fuqing Duan', 'Pei Wang', 'Yao Yao', 'Xin Xin'] | 1711.10339v1 | Discovering pulsars is a significant and meaningful research topic in the
field of radio astronomy. With the advent of astronomical instruments such as
he Five-hundred-meter Aperture Spherical Telescope (FAST) in China, data
volumes and data rates are exponentially growing. This fact necessitates a
focus on artificial ... | Pulsar Candidate Identification with Artificial Intelligence Techniques | 2,017 | http://arxiv.org/pdf/1711.10339v1 | Title Pulsar Candidate Identification Artificial Intelligence Techniques Summary Discovering pulsar significant meaningful research topic field radio astronomy advent astronomical instrument Fivehundredmeter Aperture Spherical Telescope FAST China data volume data rate exponentially growing fact necessitates focus arti... | [0.03990818187594414, 0.04200717434287071, 0.009637203067541122, -0.004774127621203661, -0.0014594316016882658, 0.009511195123195648, 0.02572619915008545, 0.010726183652877808, -0.018778080120682716, 0.040651023387908936, 0.01705784723162651, -0.013819470070302486, -0.004500917159020901, 0.04407690837979317, -0.0280557... |
40,137 | 40,137 | ['Ibrahim Abdelkader', 'Yasser El-Sonbaty', 'Mohamed El-Habrouk'] | 1711.10464v1 | Advances in semiconductor manufacturing processes and large scale integration
keep pushing demanding applications further away from centralized processing,
and closer to the edges of the network (i.e. Edge Computing). It has become
possible to perform complex in-network image processing using low-power
embedded smart c... | Openmv: A Python powered, extensible machine vision camera | 2,017 | http://arxiv.org/pdf/1711.10464v1 | Title Openmv Python powered extensible machine vision camera Summary Advances semiconductor manufacturing process large scale integration keep pushing demanding application away centralized processing closer edge network ie Edge Computing become possible perform complex innetwork image processing using lowpower embedde... | [-0.05513249710202217, -0.060397010296583176, 0.01892891712486744, 0.03934362530708313, -0.009517945349216461, -0.03035452775657177, 0.038073670119047165, 0.01952279731631279, 0.006862165406346321, -0.00023033433535601944, 0.047472208738327026, 0.13158191740512848, 0.0326225720345974, 0.04417789727449417, 0.02518671937... |
40,138 | 40,138 | ['V. Estellers', 'F. R. Schmidt', 'D. Cremers'] | 1711.10824v1 | Most 3D shape analysis methods use triangular meshes to discretize both the
shape and functions on it as piecewise linear functions. With this
representation, shape analysis requires fine meshes to represent smooth shapes
and geometric operators like normals, curvatures, or Laplace-Beltrami
eigenfunctions at large comp... | Compression for Smooth Shape Analysis | 2,017 | http://arxiv.org/pdf/1711.10824v1 | Title Compression Smooth Shape Analysis Summary 3D shape analysis method use triangular mesh discretize shape function piecewise linear function representation shape analysis requires fine mesh represent smooth shape geometric operator like normal curvature LaplaceBeltrami eigenfunctions large computational memory cost... | [-0.0459253303706646, -0.049362730234861374, -0.02607894130051136, 0.054993219673633575, -0.025108370929956436, -0.012333457358181477, 0.017333123832941055, 0.018460849300026894, -0.03773508593440056, 0.04786459356546402, 0.04639458656311035, 0.031233081594109535, 0.0574917234480381, 0.06725195795297623, 0.017729988321... |
40,139 | 40,139 | ['Damiana Lazzaro', 'Elena Loli Piccolomini', 'Fabiana Zama'] | 1711.11075v1 | In this paper we present a fast and efficient method for the reconstruction
of Magnetic Resonance Images (MRI) from severely under-sampled data. From the
Compressed Sensing theory we have mathematically modeled the problem as a
constrained minimization problem with a family of non-convex regularizing
objective function... | A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR
images reconstruction | 2,017 | http://arxiv.org/pdf/1711.11075v1 | Title fast nonconvex Compressed Sensing algorithm highly lowsampled MR image reconstruction Summary paper present fast efficient method reconstruction Magnetic Resonance Images MRI severely undersampled data Compressed Sensing theory mathematically modeled problem constrained minimization problem family nonconvex regul... | [-0.01901059038937092, 0.05750475451350212, -0.021591011434793472, -0.005277469754219055, -0.004365029279142618, 0.026999274268746376, -0.037289634346961975, 0.09884647279977798, -0.04760049283504486, 0.025169694796204567, 0.004592811223119497, -0.015461220405995846, 0.036236487329006195, -0.054249413311481476, 0.03445... |
40,140 | 40,140 | ['Song Yizhi', 'Xu Cheng', 'Ding Daoxin', 'Zhou Hang', 'Quan Tingwei', 'Li Shiwei'] | 1711.11224v1 | Convolution system is linear and time invariant, and can describe the optical
imaging process. Based on convolution system, many deconvolution techniques
have been developed for optical image analysis, such as boosting the space
resolution of optical images, image denoising, image enhancement and so on.
Here, we gave p... | Properties on n-dimensional convolution for image deconvolution | 2,017 | http://arxiv.org/pdf/1711.11224v1 | Title Properties ndimensional convolution image deconvolution Summary Convolution system linear time invariant describe optical imaging process Based convolution system many deconvolution technique developed optical image analysis boosting space resolution optical image image denoising image enhancement gave property N... | [-0.03006933256983757, 0.00616922602057457, -0.0014090220211073756, 0.09407749772071838, -0.03858650475740433, -0.03038707561790943, 0.05795353278517723, 0.03243400529026985, -0.000428578641731292, 0.021696938201785088, 0.038613371551036835, 0.08504234254360199, 0.015550290234386921, 0.0036176687572151423, -0.004064931... |
40,141 | 40,141 | ['Akisato Kimura', 'Ichiro Takahashi', 'Masaomi Tanaka', 'Naoki Yasuda', 'Naonori Ueda', 'Naoki Yoshida'] | 1711.11526v1 | Supernovae Type-Ia (SNeIa) play a significant role in exploring the history
of the expansion of the Universe, since they are the best-known standard
candles with which we can accurately measure the distance to the objects.
Finding large samples of SNeIa and investigating their detailed characteristics
have become an im... | Single-epoch supernova classification with deep convolutional neural
networks | 2,017 | http://arxiv.org/pdf/1711.11526v1 | Title Singleepoch supernova classification deep convolutional neural network Summary Supernovae TypeIa SNeIa play significant role exploring history expansion Universe since bestknown standard candle accurately measure distance object Finding large sample SNeIa investigating detailed characteristic become important iss... | [-0.0021238287445157766, 0.03195033594965935, 0.0038143752608448267, 0.020497793331742287, -0.003622218733653426, 0.033214740455150604, 0.04043431207537651, 0.057491403073072433, -0.03334788978099823, 0.0027285157702863216, 0.014696157537400723, -0.05365768074989319, 0.0007209743489511311, 0.031957708299160004, 0.00139... |
40,142 | 40,142 | ['Stanislav Fort'] | 1712.00523v1 | Supermassive black holes at centers of clusters of galaxies strongly interact
with their host environment via AGN feedback. Key tracers of such activity are
X-ray cavities -- regions of lower X-ray brightness within the cluster. We
present an automatic method for detecting, and characterizing X-ray cavities in
noisy, l... | Towards understanding feedback from supermassive black holes using
convolutional neural networks | 2,017 | http://arxiv.org/pdf/1712.00523v1 | Title Towards understanding feedback supermassive black hole using convolutional neural network Summary Supermassive black hole center cluster galaxy strongly interact host environment via AGN feedback Key tracer activity Xray cavity region lower Xray brightness within cluster present automatic method detecting charact... | [-0.008993848226964474, -0.081820048391819, 0.018780412152409554, 0.04618383198976517, 0.009009478613734245, -0.0054932949133217335, -0.03700089454650879, 0.03337462991476059, 0.03718268871307373, 0.038205377757549286, 0.011855093762278557, -0.015999125316739082, 0.004484695848077536, 0.0680251270532608, 0.010316574946... |
40,143 | 40,143 | ['Xingyu Chen', 'Junzhi Yu', 'Shihan Kong', 'Zhengxing Wu', 'Xi Fang', 'Li Wen'] | 1712.00736v3 | Underwater machine vision has attracted significant attention, but its low
quality has prevented it from a wide range of applications. Although many
different algorithms have been developed to solve this problem, real-time
adaptive methods are frequently deficient. In this paper, based on filtering
and the use of gener... | Towards Quality Advancement of Underwater Machine Vision with Generative
Adversarial Networks | 2,017 | http://arxiv.org/pdf/1712.00736v3 | Title Towards Quality Advancement Underwater Machine Vision Generative Adversarial Networks Summary Underwater machine vision attracted significant attention low quality prevented wide range application Although many different algorithm developed solve problem realtime adaptive method frequently deficient paper based f... | [-0.0039230757392942905, 0.05835190787911415, -0.013677014037966728, -0.03642473742365837, -0.00027013395447283983, -0.0019628179725259542, 0.015746230259537697, 0.028858928009867668, -0.05413433536887169, -0.009663578122854233, -3.6236615414964035e-05, -0.021893193945288658, 0.022499293088912964, 0.011065044440329075,... |
40,144 | 40,144 | ['Daniel Scharstein', 'Tatsunori Taniai', 'Sudipta N. Sinha'] | 1712.00818v1 | Semi-Global Matching (SGM) is a widely-used efficient stereo matching
technique. It works well for textured scenes, but fails on untextured slanted
surfaces due to its fronto-parallel smoothness assumption. To remedy this
problem, we propose a simple extension, termed SGM-P, to utilize precomputed
surface orientation p... | Semi-Global Stereo Matching with Surface Orientation Priors | 2,017 | http://arxiv.org/pdf/1712.00818v1 | Title SemiGlobal Stereo Matching Surface Orientation Priors Summary SemiGlobal Matching SGM widelyused efficient stereo matching technique work well textured scene fails untextured slanted surface due frontoparallel smoothness assumption remedy problem propose simple extension termed SGMP utilize precomputed surface or... | [-0.009128613397479057, 0.038965240120887756, 0.07143864035606384, 0.05937390774488449, -0.03311477228999138, 0.01848737895488739, 0.012255404144525528, -0.003368980251252651, -0.03477410227060318, -0.007418923079967499, -0.010918227024376392, 0.009248856455087662, 0.10886085033416748, 0.04841659218072891, 0.0366845168... |
40,145 | 40,145 | ['Jamie R. Nuñez', 'Christopher R. Anderton', 'Ryan S. Renslow'] | 1712.01662v2 | Color vision deficiency (CVD) affects 8.5% of the population and leads to a
different visual perception of colors. Though this has been known for decades,
colormaps with many colors across the visual spectra are often used to
represent data, leading to the potential for misinterpretation or difficulty
with interpretati... | Optimizing colormaps with consideration for color vision deficiency to
enable accurate interpretation of scientific data | 2,017 | http://arxiv.org/pdf/1712.01662v2 | Title Optimizing colormaps consideration color vision deficiency enable accurate interpretation scientific data Summary Color vision deficiency CVD affect 85 population lead different visual perception color Though known decade colormaps many color across visual spectrum often used represent data leading potential misi... | [-0.013841274194419384, -0.0239303819835186, -0.0015548451337963343, 0.010445155203342438, 0.00644433218985796, -0.00809240061789751, 0.027565304189920425, 0.07005733996629715, 0.022353598847985268, -0.022161491215229034, 0.01630023680627346, 0.0470605306327343, 0.02162412367761135, 0.028355518355965614, -0.03137952834... |
40,146 | 40,146 | ['Wellington Pinheiro dos Santos', 'Francisco Marcos de Assis'] | 1712.01696v1 | The unsupervised classification has a very important role in the analysis of
multispectral images, given its ability to assist the extraction of a priori
knowledge of images. Algorithms like k-means and fuzzy c-means has long been
used in this task. Computational Intelligence has proven to be an important
field to assi... | Avaliação do método dialético na quantização de imagens
multiespectrais | 2,017 | http://arxiv.org/pdf/1712.01696v1 | Title Avaliação método dialético na quantização de imagens multiespectrais Summary unsupervised classification important role analysis multispectral image given ability assist extraction priori knowledge image Algorithms like kmeans fuzzy cmeans long used task Computational Intelligence proven important field assist bu... | [-0.010113642551004887, 0.0679623931646347, -0.022018752992153168, 0.036495793610811234, 0.004733020439743996, -0.005084388889372349, 0.029070978984236717, 0.05651373043656349, -0.020309563726186752, -0.04082396626472473, 0.04986097663640976, 0.027350613847374916, 0.051200054585933685, -0.007128662429749966, 6.49967405... |
40,147 | 40,147 | ['Wellington Pinheiro dos Santos', 'Ricardo Emmanuel de Souza', 'Ascendino Flávio Dias e Silva', 'Plínio Batista dos Santos Filho'] | 1712.01700v1 | Alzheimer's disease is the most common cause of dementia, yet difficult to
accurately diagnose without the use of invasive techniques, particularly at the
beginning of the disease. This work addresses the classification and analysis
of multispectral synthetic images composed by diffusion-weighted magnetic
resonance bra... | Avaliação da doença de Alzheimer pela análise multiespectral
de imagens DW-MR por redes RBF como alternativa aos mapas ADC | 2,017 | http://arxiv.org/pdf/1712.01700v1 | Title Avaliação da doença de Alzheimer pela análise multiespectral de imagens DWMR por redes RBF como alternativa aos mapas ADC Summary Alzheimers disease common cause dementia yet difficult accurately diagnose without use invasive technique particularly beginning disease work address classification analysis multispect... | [-0.006711804773658514, 0.005632154643535614, -0.024036534130573273, 0.0029543328564614058, 0.0023957956582307816, -0.0010756258852779865, 0.03765638917684555, 0.04341689124703407, 0.05017392709851265, 0.015548295341432095, 0.01503433845937252, 0.0004110065056011081, 0.04098450019955635, -0.0006870701909065247, 0.03877... |
40,148 | 40,148 | ['Kexin Pei', 'Yinzhi Cao', 'Junfeng Yang', 'Suman Jana'] | 1712.01785v3 | Due to the increasing usage of machine learning (ML) techniques in security-
and safety-critical domains, such as autonomous systems and medical diagnosis,
ensuring correct behavior of ML systems, especially for different corner cases,
is of growing importance. In this paper, we propose a generic framework for
evaluati... | Towards Practical Verification of Machine Learning: The Case of Computer
Vision Systems | 2,017 | http://arxiv.org/pdf/1712.01785v3 | Title Towards Practical Verification Machine Learning Case Computer Vision Systems Summary Due increasing usage machine learning ML technique security safetycritical domain autonomous system medical diagnosis ensuring correct behavior ML system especially different corner case growing importance paper propose generic f... | [-0.032551489770412445, 0.005346108227968216, -0.00895008072257042, 0.0434749610722065, -0.0027581732720136642, -0.018162397667765617, 0.033309806138277054, 0.006820904091000557, 0.020044293254613876, 0.003686306532472372, 0.09423163533210754, 0.025182805955410004, 0.025011179968714714, 0.07012257725000381, 0.028317190... |
40,149 | 40,149 | ['Aritra Dutta', 'Peter Richtarik'] | 1712.02249v1 | We propose a surprisingly simple model for supervised video background
estimation. Our model is based on $\ell_1$ regression. As existing methods for
$\ell_1$ regression do not scale to high-resolution videos, we propose several
simple and scalable methods for solving the problem, including iteratively
reweighted least... | Online and Batch Supervised Background Estimation via L1 Regression | 2,017 | http://arxiv.org/pdf/1712.02249v1 | Title Online Batch Supervised Background Estimation via L1 Regression Summary propose surprisingly simple model supervised video background estimation model based ell1 regression existing method ell1 regression scale highresolution video propose several simple scalable method solving problem including iteratively rewei... | [-0.02782207354903221, 0.024856986477971077, -0.008075959049165249, 0.015223385766148567, -0.03378390148282051, 0.0025540520437061787, 0.050495028495788574, 0.010196967981755733, -0.03945459797978401, -0.022338833659887314, 0.09076926857233047, -0.042483970522880554, 0.01889321394264698, -0.00328255002386868, 0.0201595... |
40,150 | 40,150 | ['Shabab Bazrafkan', 'Shejin Thavalengal', 'Peter Corcoran'] | 1712.02877v1 | With the increasing imaging and processing capabilities of today's mobile
devices, user authentication using iris biometrics has become feasible.
However, as the acquisition conditions become more unconstrained and as image
quality is typically lower than dedicated iris acquisition systems, the
accurate segmentation of... | An End to End Deep Neural Network for Iris Segmentation in Unconstraint
Scenarios | 2,017 | http://arxiv.org/pdf/1712.02877v1 | Title End End Deep Neural Network Iris Segmentation Unconstraint Scenarios Summary increasing imaging processing capability today mobile device user authentication using iris biometrics become feasible However acquisition condition become unconstrained image quality typically lower dedicated iris acquisition system acc... | [-0.012039098888635635, 0.004548245575278997, -0.030077384784817696, 0.054147038608789444, -0.01066531427204609, -0.03200710192322731, 0.11374915391206741, 0.01013879757374525, -0.01625266671180725, 0.05518638342618942, -0.006511159241199493, 0.0014600363792851567, 0.05500534921884537, 0.002994559006765485, -0.00387917... |
40,151 | 40,151 | ['Jameel Malik', 'Ahmed Elhayek', 'Didier Stricker'] | 1712.03121v1 | Articulated hand pose estimation is a challenging task for human-computer
interaction. The state-of-the-art hand pose estimation algorithms work only
with one or a few subjects for which they have been calibrated or trained.
Particularly, the hybrid methods based on learning followed by model fitting or
model based dee... | Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a
Single Depth Image | 2,017 | http://arxiv.org/pdf/1712.03121v1 | Title Simultaneous Hand Pose Skeleton BoneLengths Estimation Single Depth Image Summary Articulated hand pose estimation challenging task humancomputer interaction stateoftheart hand pose estimation algorithm work one subject calibrated trained Particularly hybrid method based learning followed model fitting model base... | [-0.013631348498165607, 0.013199823908507824, -0.007252783514559269, 0.030867785215377808, 0.015422286465764046, 0.02619672566652298, 0.03283761441707611, 0.021797817200422287, -0.016776466742157936, -0.0045268177054822445, -0.06231691315770149, -0.058136992156505585, 0.05926735699176788, 0.04044092074036598, 0.0099495... |
40,152 | 40,152 | ['Utkarsh Mall', 'G. Roshan Lal', 'Siddhartha Chaudhuri', 'Parag Chaudhuri'] | 1712.03380v1 | We present a deep, bidirectional, recurrent framework for cleaning noisy and
incomplete motion capture data. It exploits temporal coherence and joint
correlations to infer adaptive filters for each joint in each frame. A single
model can be trained to denoise a heterogeneous mix of action types, under
substantial amoun... | A Deep Recurrent Framework for Cleaning Motion Capture Data | 2,017 | http://arxiv.org/pdf/1712.03380v1 | Title Deep Recurrent Framework Cleaning Motion Capture Data Summary present deep bidirectional recurrent framework cleaning noisy incomplete motion capture data exploit temporal coherence joint correlation infer adaptive filter joint frame single model trained denoise heterogeneous mix action type substantial amount no... | [-0.030416563153266907, 0.06622126698493958, 0.057937394827604294, 0.0219738632440567, 0.025440700352191925, 0.00010549055878072977, -0.021628135815262794, -0.013528956100344658, -0.05853285640478134, -0.016572963446378708, 0.014741139486432076, -0.031039465218782425, 0.03144541010260582, 0.04396431893110275, 0.0005260... |
40,153 | 40,153 | ['Rui Chen', 'Changshui Yang', 'Huizhu Jia', 'Xiaodong Xie'] | 1712.03381v1 | In this letter, we address the problem of estimating Gaussian noise level
from the trained dictionaries in update stage. We first provide rigorous
statistical analysis on the eigenvalue distributions of a sample covariance
matrix. Then we propose an interval-bounded estimator for noise variance in
high dimensional sett... | Noise Level Estimation for Overcomplete Dictionary Learning Based on
Tight Asymptotic Bounds | 2,017 | http://arxiv.org/pdf/1712.03381v1 | Title Noise Level Estimation Overcomplete Dictionary Learning Based Tight Asymptotic Bounds Summary letter address problem estimating Gaussian noise level trained dictionary update stage first provide rigorous statistical analysis eigenvalue distribution sample covariance matrix propose intervalbounded estimator noise ... | [-0.0417787991464138, 0.017755964770913124, -0.0033471202477812767, 0.022548934444785118, 0.027690868824720383, -0.011596472933888435, -0.0006768867024220526, -0.007625276688486338, -0.044728733599185944, 0.025713780894875526, -0.0068402658216655254, 0.06230388209223747, 0.019776269793510437, 0.03955436125397682, -0.02... |
40,154 | 40,154 | ['AmirAbbas Davari', 'Armin Häberle', 'Vincent Christlein', 'Andreas Maier', 'Christian Riess'] | 1712.03596v1 | High-resolution imaging has delivered new prospects for detecting the
material composition and structure of cultural treasures. Despite the various
techniques for analysis, a significant diagnostic gap remained in the range of
available research capabilities for works on paper. Old master drawings were
mostly composed ... | Sketch Layer Separation in Multi-Spectral Historical Document Images | 2,017 | http://arxiv.org/pdf/1712.03596v1 | Title Sketch Layer Separation MultiSpectral Historical Document Images Summary Highresolution imaging delivered new prospect detecting material composition structure cultural treasure Despite various technique analysis significant diagnostic gap remained range available research capability work paper Old master drawing... | [0.06493872404098511, 0.04816259816288948, 0.010271669365465641, 0.09826614707708359, -0.07925301045179367, -0.012073163874447346, 0.0390399768948555, 0.054579973220825195, -0.0443006306886673, -0.011037057265639305, 0.03453371301293373, 0.04706582427024841, 0.05975784733891487, -0.001365660224109888, -0.02613970078527... |
40,155 | 40,155 | ['Jaeyoon Yoo', 'Yongjun Hong', 'YungKyun Noh', 'Sungroh Yoon'] | 1712.03742v5 | Autonomous navigation has become an increasingly popular machine learning
application. Recent advances in deep learning have also brought huge
improvements to autonomous navigation. However, prior outdoor autonomous
navigation methods depended on various expensive sensors or expensive and
sometimes erroneously labeled ... | Domain Adaptation Using Adversarial Learning for Autonomous Navigation | 2,017 | http://arxiv.org/pdf/1712.03742v5 | Title Domain Adaptation Using Adversarial Learning Autonomous Navigation Summary Autonomous navigation become increasingly popular machine learning application Recent advance deep learning also brought huge improvement autonomous navigation However prior outdoor autonomous navigation method depended various expensive s... | [0.026827985420823097, 0.014455760829150677, -0.005889507010579109, 0.00795704498887062, 0.03465382382273674, -0.006128416396677494, 0.026622796431183815, -0.05030140280723572, 0.016423029825091362, -0.021360313519835472, 0.0012085282942280173, 0.025980757549405098, 0.014316107146441936, 0.03645598515868187, 0.03375028... |
40,156 | 40,156 | ['Yaoguang Li', 'Wei Cui', 'Cong Wang'] | 1712.03792v1 | The classification accuracy of electrocardiogram signal is often affected by
diverse factors in which mislabeled training samples issue is one of the most
influential problems. In order to mitigate this negative effect, the method of
cross validation is introduced to identify the mislabeled samples. The method
utilizes... | Identifying the Mislabeled Training Samples of ECG Signals using Machine
Learning | 2,017 | http://arxiv.org/pdf/1712.03792v1 | Title Identifying Mislabeled Training Samples ECG Signals using Machine Learning Summary classification accuracy electrocardiogram signal often affected diverse factor mislabeled training sample issue one influential problem order mitigate negative effect method cross validation introduced identify mislabeled sample me... | [-0.011441972106695175, -0.05324900895357132, -0.010096103884279728, -0.014286118559539318, 0.03261784091591835, 0.05424386262893677, 0.052795372903347015, 0.018274106085300446, 0.020164087414741516, 0.022666115313768387, 0.028410321101546288, 0.043331701308488846, 0.03582454100251198, 0.010474404320120811, -0.00638848... |
40,157 | 40,157 | ['AmirAbbas Davari', 'Tobias Lindenberger', 'Armin Häberle', 'Vincent Christlein', 'Andreas Maier', 'Christian Riess'] | 1712.04482v1 | In this work, we conducted a survey on different registration algorithms and
investigated their suitability for hyperspectral historical image registration
applications. After the evaluation of different algorithms, we choose an
intensity based registration algorithm with a curved transformation model. For
the transfor... | Image Registration for the Alignment of Digitized Historical Documents | 2,017 | http://arxiv.org/pdf/1712.04482v1 | Title Image Registration Alignment Digitized Historical Documents Summary work conducted survey different registration algorithm investigated suitability hyperspectral historical image registration application evaluation different algorithm choose intensity based registration algorithm curved transformation model trans... | [0.004669216461479664, 0.03648543730378151, 0.03602812811732292, 0.02060523070394993, -0.05697989836335182, -0.003497206373140216, 0.014430870302021503, 0.028377778828144073, -0.03275910019874573, 0.006712889764457941, 0.04154938459396362, 0.028342755511403084, 0.08404569327831268, -0.0018802578561007977, -0.0406491383... |
40,158 | 40,158 | ['Thushan Ganegedara', 'Lionel Ott', 'Fabio Ramos'] | 1712.05084v1 | Adaptability is central to autonomy. Intuitively, for high-dimensional
learning problems such as navigating based on vision, internal models with
higher complexity allow to accurately encode the information available.
However, most learning methods rely on models with a fixed structure and
complexity. In this paper, we... | Learning to Navigate by Growing Deep Networks | 2,017 | http://arxiv.org/pdf/1712.05084v1 | Title Learning Navigate Growing Deep Networks Summary Adaptability central autonomy Intuitively highdimensional learning problem navigating based vision internal model higher complexity allow accurately encode information available However learning method rely model fixed structure complexity paper present selfsupervis... | [-0.002391725080087781, 0.00761799979954958, -0.018438510596752167, -0.004306723363697529, 0.010190694592893124, -0.0003081002796534449, -0.0006847029435448349, -0.07961935549974442, 0.016317937523126602, 0.003666567150503397, 0.002551920711994171, 0.07714361697435379, -0.01866912469267845, 0.09632180631160736, 0.03004... |
40,159 | 40,159 | ['Tai-Xiang Jiang', 'Ting-Zhu Huang', 'Xi-Le Zhao', 'Liang-Jian Deng'] | 1712.05870v2 | A recently developed novel tensor decomposition scheme named tensor singular
value decomposition (t-SVD) results in a notion of rank referred to as the
tubal-rank. Many methods minimize its convex surrogate the tensor nuclear norm
(TNN) to enhance the low tubal-rankness of the underlying data. Generally,
minimizing the... | A novel nonconvex approach to recover the low-tubal-rank tensor data:
when t-SVD meets PSSV | 2,017 | http://arxiv.org/pdf/1712.05870v2 | Title novel nonconvex approach recover lowtubalrank tensor data tSVD meet PSSV Summary recently developed novel tensor decomposition scheme named tensor singular value decomposition tSVD result notion rank referred tubalrank Many method minimize convex surrogate tensor nuclear norm TNN enhance low tubalrankness underly... | [-0.04810730740427971, 0.03894229978322983, -0.010705112479627132, 0.03016747534275055, 0.022081822156906128, 0.03520573303103447, 0.0025113460142165422, 0.047042470425367355, 0.0031208712607622147, 0.03865177929401398, -0.01226232573390007, -0.032278839498758316, 0.01863720826804638, -0.02465139515697956, 0.0120298899... |
40,160 | 40,160 | ['Timo Hinzmann', 'Tim Taubner', 'Roland Siegwart'] | 1712.06837v2 | This paper proposes a computationally efficient method to estimate the
time-varying relative pose between two visual-inertial sensor rigs mounted on
the flexible wings of a fixed-wing unmanned aerial vehicle (UAV). The estimated
relative poses are used to generate highly accurate depth maps in real-time and
can be empl... | Flexible Stereo: Constrained, Non-rigid, Wide-baseline Stereo Vision for
Fixed-wing Aerial Platforms | 2,017 | http://arxiv.org/pdf/1712.06837v2 | Title Flexible Stereo Constrained Nonrigid Widebaseline Stereo Vision Fixedwing Aerial Platforms Summary paper proposes computationally efficient method estimate timevarying relative pose two visualinertial sensor rig mounted flexible wing fixedwing unmanned aerial vehicle UAV estimated relative pose used generate high... | [-0.011002480052411556, -0.0018220511265099049, 0.050812914967536926, -0.02117539942264557, 0.020030589774250984, -0.009697981178760529, -0.043895378708839417, -0.00042995295370928943, -0.06657309085130692, -0.05172397196292877, -0.0047086249105632305, 0.02299478091299534, 0.11331125348806381, 0.040310315787792206, 0.0... |
40,161 | 40,161 | ['Zhexiong Shang', 'Zhigang Shen'] | 1712.07122v1 | 3D reconstruction can be used as a platform to monitor the performance of
activities on construction site, such as construction progress monitoring,
structure inspection and post-disaster rescue. Comparing to other sensors, RGB
image has the advantages of low-cost, texture rich and easy to implement that
has been used ... | Real-time 3D Reconstruction on Construction Site using Visual SLAM and
UAV | 2,017 | http://arxiv.org/pdf/1712.07122v1 | Title Realtime 3D Reconstruction Construction Site using Visual SLAM UAV Summary 3D reconstruction used platform monitor performance activity construction site construction progress monitoring structure inspection postdisaster rescue Comparing sensor RGB image advantage lowcost texture rich easy implement used primary ... | [-0.01601526513695717, 0.012255907990038395, 0.028229976072907448, -0.009559825994074345, -0.014067831449210644, -0.009060652926564217, -0.015326475724577904, -0.03658095747232437, -0.04037598520517349, -0.029777133837342262, 0.015134798362851143, 0.0384051576256752, 0.0645693838596344, 0.040728095918893814, 0.02482603... |
40,162 | 40,162 | ['Li Chen', 'Yanjun Xie', 'Jie Sun', 'Niranjan Balu', 'Mahmud Mossa-Basha', 'Kristi Pimentel', 'Thomas S. Hatsukami', 'Jenq-Neng Hwang', 'Chun Yuan'] | 1712.07194v1 | Automated segmentation of intracranial arteries on magnetic resonance
angiography (MRA) allows for quantification of cerebrovascular features, which
provides tools for understanding aging and pathophysiological adaptations of
the cerebrovascular system. Using a convolutional autoencoder (CAE) for
segmentation is promis... | Y-net: 3D intracranial artery segmentation using a convolutional
autoencoder | 2,017 | http://arxiv.org/pdf/1712.07194v1 | Title Ynet 3D intracranial artery segmentation using convolutional autoencoder Summary Automated segmentation intracranial artery magnetic resonance angiography MRA allows quantification cerebrovascular feature provides tool understanding aging pathophysiological adaptation cerebrovascular system Using convolutional au... | [0.00739287631586194, 0.03149578720331192, -0.01595735363662243, 0.05279625952243805, -0.0002681014302652329, 0.013154905289411545, 0.04418763890862465, 0.04142072796821594, -0.058545585721731186, 0.018101776018738747, 0.011162655428051949, -0.0024119613226503134, 0.004472681321203709, 0.04554266110062599, -0.003796189... |
40,163 | 40,163 | ['Viral Parekh', 'Pin Sym Foong', 'Shendong Zhao', 'Ramanathan Subramanian'] | 1712.08084v1 | Engagement in dementia is typically measured using behavior observational
scales (BOS) that are tedious and involve intensive manual labor to annotate,
and are therefore not easily scalable. We propose AVEID, a low cost and
easy-to-use video-based engagement measurement tool to determine the engagement
level of a perso... | AVEID: Automatic Video System for Measuring Engagement In Dementia | 2,017 | http://arxiv.org/pdf/1712.08084v1 | Title AVEID Automatic Video System Measuring Engagement Dementia Summary Engagement dementia typically measured using behavior observational scale BOS tedious involve intensive manual labor annotate therefore easily scalable propose AVEID low cost easytouse videobased engagement measurement tool determine engagement le... | [-0.010128333233296871, 0.016206268221139908, -0.03488036245107651, -0.014904788695275784, -0.0015102135948836803, 0.01706690341234207, 0.0435350239276886, 0.028460580855607986, 0.06750649213790894, 0.011271952651441097, 0.03802306205034256, -0.0004672838549595326, 0.051004983484745026, 0.06183445453643799, -0.00062309... |
40,164 | 40,164 | ['Nils Bore', 'Johan Ekekrantz', 'Patric Jensfelt', 'John Folkesson'] | 1712.08409v2 | This paper studies the problem of detection and tracking of general objects
with long-term dynamics, observed by a mobile robot moving in a large
environment. A key problem is that due to the environment scale, it can only
observe a subset of the objects at any given time. Since some time passes
between observations of... | Detection and Tracking of General Movable Objects in Large 3D Maps | 2,017 | http://arxiv.org/pdf/1712.08409v2 | Title Detection Tracking General Movable Objects Large 3D Maps Summary paper study problem detection tracking general object longterm dynamic observed mobile robot moving large environment key problem due environment scale observe subset object given time Since time pass observation object different place object might ... | [0.02681385539472103, -0.025985106825828552, 0.03357343375682831, -0.013390893116593361, 0.04880781099200249, 4.768042344949208e-05, -0.027549903839826584, -0.004645856563001871, -0.029246177524328232, -0.028514469042420387, 0.03672361373901367, 0.04865552484989166, 0.010551097802817822, 0.03894978389143944, 0.00643320... |
40,165 | 40,165 | ['Xianzhi Du', 'Larry Davis'] | 1712.08675v1 | Compared to the general semantic segmentation problem, portrait segmentation
has higher precision requirement on boundary area. However, this problem has
not been well studied in previous works. In this paper, we propose a
boundary-sensitive deep neural network (BSN) for portrait segmentation. BSN
introduces three nove... | Boundary-sensitive Network for Portrait Segmentation | 2,017 | http://arxiv.org/pdf/1712.08675v1 | Title Boundarysensitive Network Portrait Segmentation Summary Compared general semantic segmentation problem portrait segmentation higher precision requirement boundary area However problem well studied previous work paper propose boundarysensitive deep neural network BSN portrait segmentation BSN introduces three nove... | [-0.014120965264737606, -0.004987328313291073, -0.016950493678450584, 0.04343879595398903, -0.031284939497709274, -0.007481793407350779, 0.04946441575884819, -0.06312739849090576, -0.015954311937093735, 0.02174920216202736, -0.01883459836244583, -0.008942293003201485, -0.0006237851921468973, 0.029344338923692703, -0.01... |
40,166 | 40,166 | ['Anurag Ghosh', 'Suriya Singh', 'C. V. Jawahar'] | 1712.08714v1 | Sports video data is recorded for nearly every major tournament but remains
archived and inaccessible to large scale data mining and analytics. It can only
be viewed sequentially or manually tagged with higher-level labels which is
time consuming and prone to errors. In this work, we propose an end-to-end
framework for... | Towards Structured Analysis of Broadcast Badminton Videos | 2,017 | http://arxiv.org/pdf/1712.08714v1 | Title Towards Structured Analysis Broadcast Badminton Videos Summary Sports video data recorded nearly every major tournament remains archived inaccessible large scale data mining analytics viewed sequentially manually tagged higherlevel label time consuming prone error work propose endtoend framework automatic attribu... | [-0.007773536257445812, -0.005343480501323938, -0.024084346368908882, 0.048741843551397324, 0.03224121406674385, 0.004315487574785948, -0.009715761989355087, 0.0407758429646492, -0.02603279799222946, -0.028147999197244644, 0.048556167632341385, 0.003931134007871151, 0.021062061190605164, 0.04993470758199692, 0.01200255... |
40,167 | 40,167 | ['Jianwei Zhang', 'Xu Chen', 'Xuezhong Xiao'] | 1712.08776v1 | To solve the issue of segmenting rich texture images, a novel detection
methods based on the affine invariable principle is proposed. Considering the
similarity between the texture areas, we first take the affine transform to get
numerous shapes, and utilize the KLT algorithm to verify the similarity. The
transforms in... | Texture Object Segmentation Based on Affine Invariant Texture Detection | 2,017 | http://arxiv.org/pdf/1712.08776v1 | Title Texture Object Segmentation Based Affine Invariant Texture Detection Summary solve issue segmenting rich texture image novel detection method based affine invariable principle proposed Considering similarity texture area first take affine transform get numerous shape utilize KLT algorithm verify similarity transf... | [-0.009472503326833248, -0.005697126965969801, -0.02469167858362198, 0.08964703232049942, -0.005402172449976206, 0.010836266912519932, 0.008058864623308182, 0.054666560143232346, -0.06993140280246735, -0.030039189383387566, 0.04718068242073059, 0.05358458682894707, 0.008846909739077091, 0.028156572952866554, 0.00367841... |
40,168 | 40,168 | ['Thiago Santini', 'Wolfgang Fuhl', 'Enkelejda Kasneci'] | 1712.08900v1 | Real-time, accurate, and robust pupil detection is an essential prerequisite
to enable pervasive eye-tracking and its applications -- e.g., gaze-based human
computer interaction, health monitoring, foveated rendering, and advanced
driver assistance. However, automated pupil detection has proved to be an
intricate task ... | PuRe: Robust pupil detection for real-time pervasive eye tracking | 2,017 | http://arxiv.org/pdf/1712.08900v1 | Title PuRe Robust pupil detection realtime pervasive eye tracking Summary Realtime accurate robust pupil detection essential prerequisite enable pervasive eyetracking application eg gazebased human computer interaction health monitoring foveated rendering advanced driver assistance However automated pupil detection pro... | [-0.01290609035640955, -0.05736182630062103, 0.0047525023110210896, -0.005125565454363823, 0.027434512972831726, -0.024195481091737747, 0.04697330296039581, 0.034414127469062805, 0.006919141858816147, -0.03394151106476784, 0.03805338963866234, 0.02118966169655323, 0.06683596968650818, 0.04631342738866806, 0.02853646501... |
40,169 | 40,169 | ['Mohammad Amin Khorsandi', 'Nader Karimi', 'Shadrokh Samavi'] | 1712.10164v1 | Capsule endoscopy is a novel and non-invasive method for diagnosis, which
assists gastroenterologists to monitor the digestive track. Although this new
technology has many advantages over the conventional endoscopy, there are
weaknesses that limits the usage of this technology. Some weaknesses are due to
using small-si... | Polyp detection inside the capsule endoscopy: an approach for power
consumption reduction | 2,017 | http://arxiv.org/pdf/1712.10164v1 | Title Polyp detection inside capsule endoscopy approach power consumption reduction Summary Capsule endoscopy novel noninvasive method diagnosis assist gastroenterologist monitor digestive track Although new technology many advantage conventional endoscopy weakness limit usage technology weakness due using smallsize ba... | [0.028564155101776123, -0.032748423516750336, -0.02186933346092701, -0.032648198306560516, 0.0036420891992747784, -0.015715988352894783, 0.012330635450780392, 0.04328380152583122, 0.001577940653078258, -0.0020065505523234606, 0.06935892254114151, 0.020688001066446304, 0.025669030845165253, 0.07100824266672134, -0.01313... |
40,170 | 40,170 | ['U. A. Nnolim'] | 1801.00098v2 | This report presents the results of a partial differential equation
(PDE)-based image enhancement algorithm, for dynamic range compression and
illumination correction in the absence of the logarithmic function. The
proposed algorithm combines forward and reverse flows in a PDE-based
formulation. The experimental result... | A PDE-based log-agnostic illumination correction algorithm | 2,017 | http://arxiv.org/pdf/1801.00098v2 | Title PDEbased logagnostic illumination correction algorithm Summary report present result partial differential equation PDEbased image enhancement algorithm dynamic range compression illumination correction absence logarithmic function proposed algorithm combine forward reverse flow PDEbased formulation experimental r... | [0.016683463007211685, -0.020708275958895683, -0.0006206387188285589, 0.004831307101994753, -0.021986715495586395, -0.029783811420202255, 0.02835315465927124, 0.06338097900152206, -0.056479863822460175, -0.00654726242646575, 0.04956838861107826, -0.02833469770848751, 0.054298412054777145, -0.003736554877832532, -0.0015... |
40,171 | 40,171 | ['Mahmood Sharif', 'Sruti Bhagavatula', 'Lujo Bauer', 'Michael K. Reiter'] | 1801.00349v1 | In this paper we show that misclassification attacks against face-recognition
systems based on deep neural networks (DNNs) are more dangerous than previously
demonstrated, even in contexts where the adversary can manipulate only her
physical appearance (versus directly manipulating the image input to the DNN).
Specific... | Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art
Face Recognition | 2,017 | http://arxiv.org/pdf/1801.00349v1 | Title Adversarial Generative Nets Neural Network Attacks StateoftheArt Face Recognition Summary paper show misclassification attack facerecognition system based deep neural network DNNs dangerous previously demonstrated even context adversary manipulate physical appearance versus directly manipulating image input DNN S... | [0.019853178411722183, 0.0519280843436718, -0.024525608867406845, 0.043513551354408264, 0.01934688352048397, -0.009412858635187149, 0.08063467592000961, -0.036070965230464935, -0.014060305431485176, -0.009001527912914753, 0.03792469576001167, 0.04430349916219711, 0.056497830897569656, 0.07060740888118744, 0.08970589935... |
40,172 | 40,172 | ['Hamid Reza Shahdoosti'] | 1801.00635v1 | Denoising of coefficients in a sparse domain (e.g. wavelet) has been
researched extensively because of its simplicity and effectiveness. Literature
mainly has focused on designing the best global threshold. However, this paper
proposes a new denoising method using bivariate shrinkage function in framelet
domain. In the... | Image denoising through bivariate shrinkage function in framelet domain | 2,018 | http://arxiv.org/pdf/1801.00635v1 | Title Image denoising bivariate shrinkage function framelet domain Summary Denoising coefficient sparse domain eg wavelet researched extensively simplicity effectiveness Literature mainly focused designing best global threshold However paper proposes new denoising method using bivariate shrinkage function framelet doma... | [-0.04646122828125954, 0.03227483853697777, 0.024642599746584892, 0.007728477008640766, 0.014480785466730595, -0.011513893492519855, 0.021553101018071175, 0.07494152337312698, -0.007934699766337872, 0.041499849408864975, 0.012529647909104824, 0.03799496963620186, 0.010758614167571068, 0.011507241986691952, -0.007529295... |
40,173 | 40,173 | ['Yi Xiao', 'Xiang Cao', 'Xianyi Zhu', 'Renzhi Yang', 'Yan Zheng'] | 1801.00968v1 | High-resolution depth map can be inferred from a low-resolution one with the
guidance of an additional high-resolution texture map of the same scene.
Recently, deep neural networks with large receptive fields are shown to benefit
applications such as image completion. Our insight is that super resolution is
similar to ... | Joint convolutional neural pyramid for depth map super-resolution | 2,018 | http://arxiv.org/pdf/1801.00968v1 | Title Joint convolutional neural pyramid depth map superresolution Summary Highresolution depth map inferred lowresolution one guidance additional highresolution texture map scene Recently deep neural network large receptive field shown benefit application image completion insight super resolution similar image complet... | [0.034220900386571884, 0.048479389399290085, 0.024477792903780937, 0.05489695444703102, -0.04108508303761482, -0.006718146614730358, -0.027976438403129578, 0.013141718693077564, -0.03426956757903099, 0.021619629114866257, -0.008889775723218918, 0.035585254430770874, 0.044721733778715134, -0.0014521438861265779, 0.00730... |
40,174 | 40,174 | ['Timur M. Khanipov'] | 1801.01054v1 | For the computational model where only additions are allowed, the
$\Omega(n^2\log n)$ lower bound on operations count with respect to image size
$n\times n$ is obtained for two types of the discrete Radon transform
implementations: the fast Hough transform and a generic strip pattern class
which includes the classical ... | Computational complexity lower bounds of certain discrete Radon
transform approximations | 2,018 | http://arxiv.org/pdf/1801.01054v1 | Title Computational complexity lower bound certain discrete Radon transform approximation Summary computational model addition allowed Omegan2log n lower bound operation count respect image size ntimes n obtained two type discrete Radon transform implementation fast Hough transform generic strip pattern class includes ... | [-0.02993328683078289, 0.007261200807988644, -0.02985885739326477, 0.03373437747359276, -0.04716164991259575, -0.013667939230799675, 0.07307112216949463, 0.006937510799616575, -0.058561645448207855, 0.02608576975762844, 0.05523453652858734, 0.09954821318387985, 0.012482283636927605, 0.0491262786090374, -0.0295344796031... |
40,175 | 40,175 | ['Si Liu', 'Yao Sun', 'Defa Zhu', 'Guanghui Ren', 'Yu Chen', 'Jiashi Feng', 'Jizhong Han'] | 1801.01260v2 | Human parsing has been extensively studied recently due to its wide
applications in many important scenarios. Mainstream fashion parsing models
focus on parsing the high-resolution and clean images. However, directly
applying the parsers trained on benchmarks to a particular application scenario
in the wild, e.g., a ca... | Cross-domain Human Parsing via Adversarial Feature and Label Adaptation | 2,018 | http://arxiv.org/pdf/1801.01260v2 | Title Crossdomain Human Parsing via Adversarial Feature Label Adaptation Summary Human parsing extensively studied recently due wide application many important scenario Mainstream fashion parsing model focus parsing highresolution clean image However directly applying parser trained benchmark particular application sce... | [0.05631113797426224, 0.02270394191145897, 0.007704120595008135, 0.06039503589272499, 0.010540500283241272, 0.01886213943362236, 0.041034698486328125, -0.01227354072034359, -0.019664041697978973, -0.07278536260128021, -0.09161978214979172, -0.015665562823414803, -0.006736757233738899, 0.019292552024126053, 0.0144298709... |
40,176 | 40,176 | ['Anurag Ghosh', 'C. V. Jawahar'] | 1801.01430v1 | In this paper, we demonstrate a score based indexing approach for tennis
videos. Given a broadcast tennis video (BTV), we index all the video segments
with their scores to create a navigable and searchable match. Our approach
temporally segments the rallies in the video and then recognizes the scores
from each of the s... | SmartTennisTV: Automatic indexing of tennis videos | 2,018 | http://arxiv.org/pdf/1801.01430v1 | Title SmartTennisTV Automatic indexing tennis video Summary paper demonstrate score based indexing approach tennis video Given broadcast tennis video BTV index video segment score create navigable searchable match approach temporally segment rally video recognizes score segment refining score using knowledge tennis sco... | [-0.03430879861116409, -0.03957603871822357, -0.01922585256397724, 0.042498812079429626, 0.0018415871309116483, 0.004048929549753666, -0.009762720204889774, 0.05142823979258537, 0.015384496189653873, -0.051977019757032394, 0.035765476524829865, 0.014155713841319084, -0.03113638423383236, 0.09460795670747757, 0.00407645... |
40,177 | 40,177 | ['Nicolaie Popescu-Bodorin', 'Lucian Stefanita Grigore', 'Valentina Emilia Balas', 'Cristina Madalina Noaica', 'Ionut Axenie', 'Justinian Popa', 'Cristian Munteanu', 'Victor Stroescu', 'Ionut Manu', 'Alexandru Herea', 'Kartal Horasanli', 'Iulia Maria Motoc'] | 1801.01695v1 | Cross-sensor comparison experimental results reported here show that the
procedure defined and simulated during the Cross-Sensor Comparison Competition
2013 by our team for migrating / upgrading LG2200 based to LG4000 based
biometric systems leads to better LG4000-to-LG2200 cross-sensor iris
recognition results than pr... | Cross-Sensor Iris Recognition: LG4000-to-LG2200 Comparison | 2,018 | http://arxiv.org/pdf/1801.01695v1 | Title CrossSensor Iris Recognition LG4000toLG2200 Comparison Summary Crosssensor comparison experimental result reported show procedure defined simulated CrossSensor Comparison Competition 2013 team migrating upgrading LG2200 based LG4000 based biometric system lead better LG4000toLG2200 crosssensor iris recognition re... | [-0.01543918065726757, -0.003204104956239462, -0.023403320461511612, 0.04830591380596161, -0.01689402014017105, 0.0160048995167017, 0.09969857335090637, 0.02942791022360325, 0.030801823362708092, -0.0030801212415099144, 0.0024072350934147835, 0.01873149536550045, 0.0714639350771904, 0.024140454828739166, -0.00716310786... |
40,178 | 40,178 | ['Di Tang', 'Zhe Zhou', 'Yinqian Zhang', 'Kehuan Zhang'] | 1801.01949v1 | Face authentication systems are becoming increasingly prevalent, especially
with the rapid development of Deep Learning technologies. However, human facial
information is easy to be captured and reproduced, which makes face
authentication systems vulnerable to various attacks. Liveness detection is an
important defense... | Face Flashing: a Secure Liveness Detection Protocol based on Light
Reflections | 2,018 | http://arxiv.org/pdf/1801.01949v1 | Title Face Flashing Secure Liveness Detection Protocol based Light Reflections Summary Face authentication system becoming increasingly prevalent especially rapid development Deep Learning technology However human facial information easy captured reproduced make face authentication system vulnerable various attack Live... | [0.043089359998703, -0.013366934843361378, 0.00505979685112834, 0.03257841244339943, -0.007334014400839806, 0.024188175797462463, 0.08554722368717194, 0.01964515633881092, -0.030280616134405136, -0.012677984312176704, 0.031896479427814484, 0.009714983403682709, 0.05509962514042854, 0.12047376483678818, 0.05612745508551... |
40,179 | 40,179 | ['Luca Carlone', 'Giuseppe C. Calafiore'] | 1801.02112v1 | Pose Graph Optimization involves the estimation of a set of poses from
pairwise measurements and provides a formalization for many problems arising in
mobile robotics and geometric computer vision. In this paper, we consider the
case in which a subset of the measurements fed to pose graph optimization is
spurious. Our ... | Convex Relaxations for Pose Graph Optimization with Outliers | 2,018 | http://arxiv.org/pdf/1801.02112v1 | Title Convex Relaxations Pose Graph Optimization Outliers Summary Pose Graph Optimization involves estimation set pose pairwise measurement provides formalization many problem arising mobile robotics geometric computer vision paper consider case subset measurement fed pose graph optimization spurious first contribution... | [-0.015267299488186836, -0.016012758016586304, 0.026818057522177696, -0.04005425050854683, 0.01783011108636856, -0.003982956986874342, -0.01619763672351837, -0.001719315885566175, -0.011170344427227974, -0.010360629297792912, 0.05342766270041466, 0.045104753226041794, 0.040549084544181824, -0.029383329674601555, -0.016... |
40,180 | 40,180 | ['Mojtaba S. Fazli', 'Stephen A. Vella', 'Silvia N. J. Moreno', 'Shannon Quinn'] | 1801.02591v2 | Toxoplasma gondii is a parasitic protozoan that causes dis- seminated
toxoplasmosis, a disease that afflicts roughly a third of the worlds
population. Its virulence is predicated on its motility and ability to enter
and exit nucleated cells; therefore, studies elucidating its mechanism of
motility and in particular, it... | Unsupervised Discovery of Toxoplasma gondii Motility Phenotypes | 2,018 | http://arxiv.org/pdf/1801.02591v2 | Title Unsupervised Discovery Toxoplasma gondii Motility Phenotypes Summary Toxoplasma gondii parasitic protozoan cause dis seminated toxoplasmosis disease afflicts roughly third world population virulence predicated motility ability enter exit nucleated cell therefore study elucidating mechanism motility particular mot... | [-0.006009023170918226, -0.03386174142360687, 0.020261593163013458, -0.02286231890320778, -0.008199229836463928, 0.024136001244187355, 0.03283548727631569, -0.011117572896182537, -0.006938859820365906, 0.020752618089318275, -0.02158081904053688, 0.006961109582334757, 0.05557494983077049, 0.004193755332380533, 0.0520127... |
40,181 | 40,181 | ['Lina Karam', 'Tejas Borkar', 'Yu Cao', 'Junseok Chae'] | 1801.02684v1 | This paper introduces a deep learning enabled generative sensing framework
which integrates low-end sensors with computational intelligence to attain a
high recognition accuracy on par with that attained with high-end sensors. The
proposed generative sensing framework aims at transforming low-end, low-quality
sensor da... | Generative Sensing: Transforming Unreliable Sensor Data for Reliable
Recognition | 2,018 | http://arxiv.org/pdf/1801.02684v1 | Title Generative Sensing Transforming Unreliable Sensor Data Reliable Recognition Summary paper introduces deep learning enabled generative sensing framework integrates lowend sensor computational intelligence attain high recognition accuracy par attained highend sensor proposed generative sensing framework aim transfo... | [-0.021793853491544724, 0.06206420063972473, -0.013957714661955833, 0.035022273659706116, -0.018259849399328232, -0.02561315894126892, 0.031108682975172997, -0.010110913775861263, -0.019331110641360283, 0.015735771507024765, 0.03775578737258911, 0.06321443617343903, 0.013795956037938595, 0.041488222777843475, -0.011063... |
40,182 | 40,182 | ['Achim Kampker', 'Mohsen Sefati', 'Arya Abdul Rachman', 'Kai Kreisköther', 'Pascual Campoy'] | 1801.02686v2 | Urban-oriented autonomous vehicles require a reliable perception technology
to tackle the high amount of uncertainties. The recently introduced compact 3D
LIDAR sensor offers a surround spatial information that can be exploited to
enhance the vehicle perception. We present a real-time integrated framework of
multi-targ... | Towards Multi-Object Detection and Tracking in Urban Scenario under
Uncertainties | 2,018 | http://arxiv.org/pdf/1801.02686v2 | Title Towards MultiObject Detection Tracking Urban Scenario Uncertainties Summary Urbanoriented autonomous vehicle require reliable perception technology tackle high amount uncertainty recently introduced compact 3D LIDAR sensor offer surround spatial information exploited enhance vehicle perception present realtime in... | [-0.008229566738009453, -0.0005004751146771014, 0.035264793783426285, 0.05019962042570114, 0.011658665724098682, -0.020680084824562073, 0.006114627700299025, -0.05161789804697037, -0.07330731302499771, -0.0019699137192219496, 0.05358556658029556, -0.0015514164697378874, -0.002110810950398445, 0.04572482034564018, -0.00... |
40,183 | 40,183 | ['Yuhua Chen', 'Yibin Xie', 'Zhengwei Zhou', 'Feng Shi', 'Anthony G. Christodoulou', 'Debiao Li'] | 1801.02728v1 | Magnetic resonance image (MRI) in high spatial resolution provides detailed
anatomical information and is often necessary for accurate quantitative
analysis. However, high spatial resolution typically comes at the expense of
longer scan time, less spatial coverage, and lower signal to noise ratio (SNR).
Single Image Su... | Brain MRI Super Resolution Using 3D Deep Densely Connected Neural
Networks | 2,018 | http://arxiv.org/pdf/1801.02728v1 | Title Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks Summary Magnetic resonance image MRI high spatial resolution provides detailed anatomical information often necessary accurate quantitative analysis However high spatial resolution typically come expense longer scan time le spatial coverag... | [0.009811566211283207, 0.040469154715538025, -0.0280549768358469, -0.0013529646676033735, 0.02169082686305046, 0.01564282551407814, 0.02122482843697071, 0.010763030499219894, -0.04735878109931946, 0.05702955648303032, -0.005962482653558254, -0.014427803456783295, 0.030475545674562454, 0.03513552248477936, 0.05084622278... |
40,184 | 40,184 | ['Mario Michael Krell', 'Anett Seeland', 'Su Kyoung Kim'] | 1801.02730v1 | On image data, data augmentation is becoming less relevant due to the large
amount of available training data and regularization techniques. Common
approaches are moving windows (cropping), scaling, affine distortions, random
noise, and elastic deformations. For electroencephalographic data, the lack of
sufficient trai... | Data Augmentation for Brain-Computer Interfaces: Analysis on
Event-Related Potentials Data | 2,018 | http://arxiv.org/pdf/1801.02730v1 | Title Data Augmentation BrainComputer Interfaces Analysis EventRelated Potentials Data Summary image data data augmentation becoming le relevant due large amount available training data regularization technique Common approach moving window cropping scaling affine distortion random noise elastic deformation electroence... | [-0.003120597219094634, 0.025039440020918846, -0.027057744562625885, -0.019346898421645164, 0.010243075899779797, 0.01297744456678629, 0.042465388774871826, 0.043037306517362595, 0.003375834785401821, 0.021977821364998817, -0.018268201500177383, -0.0015210353303700686, 0.07983651012182236, 0.09196659922599792, 0.101825... |
40,185 | 40,185 | ['Ugo Boscain', 'Roman Chertovskih', 'Jean-Paul Gauthier', 'Dario Prandi', 'Alexey Remizov'] | 1801.03800v1 | In this paper we review several algorithms for image inpainting based on the
hypoelliptic diffusion naturally associated with a mathematical model of the
primary visual cortex. In particular, we present one algorithm that does not
exploit the information of where the image is corrupted, and others that do it.
While the... | Cortical-inspired image reconstruction via sub-Riemannian geometry and
hypoelliptic diffusion | 2,018 | http://arxiv.org/pdf/1801.03800v1 | Title Corticalinspired image reconstruction via subRiemannian geometry hypoelliptic diffusion Summary paper review several algorithm image inpainting based hypoelliptic diffusion naturally associated mathematical model primary visual cortex particular present one algorithm exploit information image corrupted others fir... | [0.010351045057177544, 0.019895879551768303, -0.02892797812819481, 0.0055414484813809395, -0.033690351992845535, 0.012407787144184113, -0.059818074107170105, 0.055718861520290375, 0.0035590759944170713, 0.012109587900340557, 0.022099042311310768, -0.07362433522939682, 0.04128746688365936, -0.011697557754814625, 0.05885... |
40,186 | 40,186 | ['Richard Zhang', 'Phillip Isola', 'Alexei A. Efros', 'Eli Shechtman', 'Oliver Wang'] | 1801.03924v1 | While it is nearly effortless for humans to quickly assess the perceptual
similarity between two images, the underlying processes are thought to be quite
complex. Despite this, the most widely used perceptual metrics today, such as
PSNR and SSIM, are simple, shallow functions, and fail to account for many
nuances of hu... | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric | 2,018 | http://arxiv.org/pdf/1801.03924v1 | Title Unreasonable Effectiveness Deep Features Perceptual Metric Summary nearly effortless human quickly ass perceptual similarity two image underlying process thought quite complex Despite widely used perceptual metric today PSNR SSIM simple shallow function fail account many nuance human perception Recently deep lear... | [-0.013516408391296864, 0.03572475165128708, -0.0026453386526554823, 0.06990092247724533, -0.004908318165689707, 0.010930906049907207, 0.03213949874043465, -0.004473505541682243, -0.035062678158283234, 0.024286283180117607, -0.055825937539339066, -0.012075956910848618, 0.0002614334807731211, 0.056944794952869415, 0.009... |
40,187 | 40,187 | ['Cameron Fabbri', 'Md Jahidul Islam', 'Junaed Sattar'] | 1801.04011v1 | Autonomous underwater vehicles (AUVs) rely on a variety of sensors -
acoustic, inertial and visual - for intelligent decision making. Due to its
non-intrusive, passive nature, and high information content, vision is an
attractive sensing modality, particularly at shallower depths. However, factors
such as light refract... | Enhancing Underwater Imagery using Generative Adversarial Networks | 2,018 | http://arxiv.org/pdf/1801.04011v1 | Title Enhancing Underwater Imagery using Generative Adversarial Networks Summary Autonomous underwater vehicle AUVs rely variety sensor acoustic inertial visual intelligent decision making Due nonintrusive passive nature high information content vision attractive sensing modality particularly shallower depth However fa... | [-0.002346161287277937, 0.05241255462169647, -0.0006835091044194996, -0.042930856347084045, -5.051288098911755e-05, -0.007592576090246439, 0.0186660997569561, -0.006008210126310587, -0.05584768205881119, -0.016728879883885384, -0.01521593239158392, 0.0035676308907568455, 0.013768937438726425, 0.024179130792617798, 0.05... |
40,188 | 40,188 | ['Mehdi Yedroudj', 'Marc Chaumont', 'Frédéric Comby'] | 1801.04076v2 | Deep learning and convolutional neural networks (CNN) have been intensively
used in many image processing topics during last years. As far as steganalysis
is concerned, the use of CNN allows reaching the state-of-the-art results. The
performances of such networks often rely on the size of their learning
database. An ob... | How to augment a small learning set for improving the performances of a
CNN-based steganalyzer? | 2,018 | http://arxiv.org/pdf/1801.04076v2 | Title augment small learning set improving performance CNNbased steganalyzer Summary Deep learning convolutional neural network CNN intensively used many image processing topic last year far steganalysis concerned use CNN allows reaching stateoftheart result performance network often rely size learning database obvious... | [0.007094548083841801, 0.050463709980249405, -0.006820423528552055, 0.032046254724264145, -0.026286350563168526, -0.022486839443445206, 0.09709502756595612, 0.055191781371831894, 0.011444064788520336, -0.027078954502940178, 0.019938448444008827, 0.029713422060012817, -0.04624951630830765, 0.11027200520038605, 0.0616554... |
40,189 | 40,189 | ['Kalthoum Ouerghi', 'Najib Fadlallah', 'Amor Smida', 'Ridha Ghayoula', 'Jaouhar Fattahi', 'Noureddine Boulejfen'] | 1801.05068v1 | Microwave imaging for breast cancer detection is based on the contrast in the
electrical properties of healthy fatty breast tissues. This paper presents an
industrial, scientific and medical (ISM) bands comparative study of five
microstrip patch antennas for microwave imaging at a frequency of 2.45 GHz. The
choice of o... | Circular Antenna Array Design for Breast Cancer Detection | 2,018 | http://arxiv.org/pdf/1801.05068v1 | Title Circular Antenna Array Design Breast Cancer Detection Summary Microwave imaging breast cancer detection based contrast electrical property healthy fatty breast tissue paper present industrial scientific medical ISM band comparative study five microstrip patch antenna microwave imaging frequency 245 GHz choice one... | [0.01875479146838188, -0.07609885185956955, -0.016562148928642273, -0.04325306415557861, 0.014711478725075722, 0.04295233264565468, 0.05880235880613327, -0.01250231172889471, -0.005087435245513916, -0.012208107858896255, 0.02216699905693531, -0.014096338301897049, 0.014831253327429295, -0.01623360440135002, -0.01505309... |
40,190 | 40,190 | ['Anders Hast', 'Per Cullhed', 'Ekta Vats'] | 1801.05367v1 | This paper presents a framework for semi-automatic transcription of
large-scale historical handwritten documents and proposes a simple
user-friendly text extractor tool, TexT for transcription. The proposed
approach provides a quick and easy transcription of text using computer
assisted interactive technique. The algor... | TexT - Text Extractor Tool for Handwritten Document Transcription and
Annotation | 2,017 | http://arxiv.org/pdf/1801.05367v1 | Title TexT Text Extractor Tool Handwritten Document Transcription Annotation Summary paper present framework semiautomatic transcription largescale historical handwritten document proposes simple userfriendly text extractor tool TexT transcription proposed approach provides quick easy transcription text using computer ... | [0.016687922179698944, 0.03167901188135147, 0.02502485364675522, 0.0543503575026989, -0.04258298501372337, 0.006567934527993202, 0.051513396203517914, 0.06580229103565216, -0.016258323565125465, -0.007873620837926865, 0.0035007994156330824, 0.050161633640527725, 0.051430728286504745, -0.007264464162290096, -0.031964685... |
40,191 | 40,191 | ['Tiep Vu', 'Lam Nguyen', 'Tiantong Guo', 'Vishal Monga'] | 1801.05458v2 | Classifying buried and obscured targets of interest from other natural and
manmade clutter objects in the scene is an important problem for the U.S. Army.
Targets of interest are often represented by signals captured using
low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar
(SAR) technology. Thi... | Deep Network for Simultaneous Decomposition and Classification in
UWB-SAR Imagery | 2,018 | http://arxiv.org/pdf/1801.05458v2 | Title Deep Network Simultaneous Decomposition Classification UWBSAR Imagery Summary Classifying buried obscured target interest natural manmade clutter object scene important problem US Army Targets interest often represented signal captured using lowfrequency UHF Lband ultrawideband UWB synthetic aperture radar SAR te... | [-0.023417670279741287, 0.05498712509870529, 0.02955618128180504, 0.025366155430674553, 0.022034427151083946, 0.03790048137307167, 0.06470039486885071, -0.05718102306127548, -0.023477811366319656, 0.00439470587298274, -0.023843808099627495, -0.029388412833213806, -0.004479443654417992, 0.007386024575680494, -0.02728275... |
40,192 | 40,192 | ['Wuilan Torres', 'Antonio Rueda-Toicen'] | 1801.05525v1 | The segmentation of satellite images is a necessary step to perform
object-oriented image classification, which has become relevant due to its
applicability on images with a high spatial resolution. To perform
object-oriented image classification, the studied image must first be segmented
in uniform regions. This segme... | Identification of Seed Cells in Multispectral Images for GrowCut
Segmentation | 2,018 | http://arxiv.org/pdf/1801.05525v1 | Title Identification Seed Cells Multispectral Images GrowCut Segmentation Summary segmentation satellite image necessary step perform objectoriented image classification become relevant due applicability image high spatial resolution perform objectoriented image classification studied image must first segmented uniform... | [0.031337179243564606, 0.0005141365109011531, -0.009866304695606232, 0.03875913843512535, -0.01615767367184162, -0.014841534197330475, 0.004255248233675957, -0.028974216431379318, -0.03388272598385811, 0.00782668124884367, 0.038191236555576324, 0.0489342100918293, 0.05670805275440216, 0.03659272938966751, 0.01468153949... |
40,193 | 40,193 | ['Harald Garcke', 'Kei Fong Lam', 'Vanessa Styles'] | 1801.05527v1 | The inpainting of damaged images has a wide range of applications and many
different mathematical methods have been proposed to solve this problem.
Inpainting witht the help of Cahn--Hilliard models has been particularly
successful, and it turns out that Cahn--Hilliard inpainting with the double
obstacle potential can ... | Cahn--Hilliard inpainting with the double obstacle potential | 2,018 | http://arxiv.org/pdf/1801.05527v1 | Title CahnHilliard inpainting double obstacle potential Summary inpainting damaged image wide range application many different mathematical method proposed solve problem Inpainting witht help CahnHilliard model particularly successful turn CahnHilliard inpainting double obstacle potential lead better result compared in... | [-0.013826461508870125, -0.015671364963054657, -0.0213359035551548, 0.03364110738039017, -0.0601947121322155, -0.03032722882926464, -0.02740192785859108, -0.01229735929518938, 0.008164753206074238, -0.03416719287633896, 0.07429980486631393, 0.00016270445485133678, 0.02389018051326275, -0.03277688845992088, -0.004501985... |
40,194 | 40,194 | ['Joscha Diehl', 'Jeremy Reizenstein'] | 1801.06104v1 | We introduce a novel class of features for multidimensional time series, that
are invariant with respect to transformations of the ambient space. The general
linear group, the group of rotations and the group of permutations of the axes
are considered. The starting point for their construction is Chen's
iterated-integr... | Invariants of multidimensional time series based on their
iterated-integral signature | 2,018 | http://arxiv.org/pdf/1801.06104v1 | Title Invariants multidimensional time series based iteratedintegral signature Summary introduce novel class feature multidimensional time series invariant respect transformation ambient space general linear group group rotation group permutation ax considered starting point construction Chens iteratedintegral signatur... | [-0.07408890873193741, 0.03364081308245659, -0.02210136316716671, 0.018586251884698868, -0.0529421865940094, 0.03945307061076164, 0.06417358666658401, 0.02791348658502102, -0.00904166791588068, -0.005982453003525734, 0.04822112247347832, -0.0017806104151532054, -0.00769207114353776, 0.025907257571816444, 0.011002677492... |
40,195 | 40,195 | ['Siyeong Lee', 'Gwon Hwan An', 'Suk-Ju Kang'] | 1801.06277v1 | In this paper, we propose a novel deep neural network model that reconstructs
a high dynamic range (HDR) image from a single low dynamic range (LDR) image.
The proposed model is based on a convolutional neural network composed of
dilated convolutional layers, and infers LDR images with various exposures and
illuminatio... | Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single
Low Dynamic Range Image | 2,018 | http://arxiv.org/pdf/1801.06277v1 | Title Deep Chain HDRI Reconstructing High Dynamic Range Image Single Low Dynamic Range Image Summary paper propose novel deep neural network model reconstructs high dynamic range HDR image single low dynamic range LDR image proposed model based convolutional neural network composed dilated convolutional layer infers LD... | [-0.059614505618810654, 0.05619798228144646, 0.006354203447699547, 0.005107471253722906, -0.05124308541417122, -0.010075761005282402, 0.05652394890785217, 0.039803992956876755, -0.0349997952580452, 0.004700878169387579, 0.012660334818065166, 0.011300704441964626, 0.047814276069402695, 0.034737344831228256, 0.0105616347... |
40,196 | 40,196 | ['Penghang Yin', 'Shuai Zhang', 'Jiancheng Lyu', 'Stanley Osher', 'Yingyong Qi', 'Jack Xin'] | 1801.06313v1 | We propose BinaryRelax, a simple two-phase algorithm, for training deep
neural networks with quantized weights. The set constraint that characterizes
the quantization of weights is not imposed until the late stage of training,
and a sequence of pseudo quantized weights is maintained. Specifically, we
relax the hard con... | BinaryRelax: A Relaxation Approach For Training Deep Neural Networks
With Quantized Weights | 2,018 | http://arxiv.org/pdf/1801.06313v1 | Title BinaryRelax Relaxation Approach Training Deep Neural Networks Quantized Weights Summary propose BinaryRelax simple twophase algorithm training deep neural network quantized weight set constraint characterizes quantization weight imposed late stage training sequence pseudo quantized weight maintained Specifically ... | [-0.025879299268126488, 0.0838543251156807, -0.01116623729467392, 0.023155827075242996, 0.013003326021134853, -0.0002529295743443072, 0.01478305459022522, 0.042183734476566315, -0.0009246338158845901, 0.035918012261390686, 0.011781426146626472, -0.010562188923358917, -0.028516359627246857, -0.012169940397143364, 0.0142... |
40,197 | 40,197 | ['Daniel Moreira', 'Aparna Bharati', 'Joel Brogan', 'Allan Pinto', 'Michael Parowski', 'Kevin W. Bowyer', 'Patrick J. Flynn', 'Anderson Rocha', 'Walter J. Scheirer'] | 1801.06510v2 | Prior art has shown it is possible to estimate, through image processing and
computer vision techniques, the types and parameters of transformations that
have been applied to the content of individual images to obtain new images.
Given a large corpus of images and a query image, an interesting further step
is to retrie... | Image Provenance Analysis at Scale | 2,018 | http://arxiv.org/pdf/1801.06510v2 | Title Image Provenance Analysis Scale Summary Prior art shown possible estimate image processing computer vision technique type parameter transformation applied content individual image obtain new image Given large corpus image query image interesting step retrieve set original image whose content present query image w... | [0.05415315553545952, 0.09177424013614655, -0.009702011942863464, 0.06017838045954704, -0.07429374754428864, 0.0035941358655691147, 0.036653388291597366, 0.0336557999253273, -0.050598710775375366, -0.011104323901236057, 0.04418554529547691, 0.028738902881741524, 0.031005218625068665, 0.023327749222517014, -0.0250623542... |
40,198 | 40,198 | ['Lijun Zhao', 'Huihui Bai', 'Anhong Wang', 'Yao Zhao'] | 1801.06611v1 | Multiple description coding (MDC) is able to stably transmit the signal in
the un-reliable and non-prioritized networks, which has been broadly studied
for several decades. However, the traditional MDC doesn't well leverage image's
context features to generate multiple descriptions. In this paper, we propose a
novel st... | Multiple Description Convolutional Neural Networks for Image Compression | 2,018 | http://arxiv.org/pdf/1801.06611v1 | Title Multiple Description Convolutional Neural Networks Image Compression Summary Multiple description coding MDC able stably transmit signal unreliable nonprioritized network broadly studied several decade However traditional MDC doesnt well leverage image context feature generate multiple description paper propose n... | [0.00320891453884542, 0.07238799333572388, 0.04363105818629265, 0.05773917958140373, -0.017232302576303482, 0.012702401727437973, 0.001994250575080514, 0.041959092020988464, -0.13337329030036926, -0.025450315326452255, -0.011768767610192299, -0.01126002985984087, 0.011563099920749664, 0.0424746572971344, 0.024444434791... |
40,199 | 40,199 | ['Alejandro Cartas', 'María Elena Algorri'] | 1801.06694v1 | We present a new method for the recognition of digital straight lines based
on the slope. This method combines the Freeman's chain coding scheme and new
discovered properties of the digital slope introduced in this paper. We also
present the efficiency of our method from a testbed. | Determination of Digital Straight Segments Using the Slope | 2,018 | http://arxiv.org/pdf/1801.06694v1 | Title Determination Digital Straight Segments Using Slope Summary present new method recognition digital straight line based slope method combine Freemans chain coding scheme new discovered property digital slope introduced paper also present efficiency method testbed Authors 0 Ahmed Osman Wojciech Samek 1 Ji Young Lee... | [-0.025785647332668304, 0.04305403679609299, -0.030479099601507187, 0.07807277888059616, -0.04645702615380287, -0.005936411675065756, 0.08211131393909454, 0.03649173676967621, -0.024780534207820892, 0.025375934317708015, 0.05682459473609924, 0.05286022275686264, 0.05725642666220665, 0.02416382171213627, -0.042313255369... |
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