Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
27,802 | Learning to Generate Long-term Future via Hierarchical Prediction | cs.CV | We propose a hierarchical approach for making long-term predictions of future
frames. To avoid inherent compounding errors in recursive pixel-level
prediction, we propose to first estimate high-level structure in the input
frames, then predict how that structure evolves in the future, and finally by
observing a single ... | computer science |
27,803 | Generative Face Completion | cs.CV | In this paper, we propose an effective face completion algorithm using a deep
generative model. Different from well-studied background completion, the face
completion task is more challenging as it often requires to generate
semantically new pixels for the missing key components (e.g., eyes and mouths)
that contain lar... | computer science |
27,804 | HPatches: A benchmark and evaluation of handcrafted and learned local
descriptors | cs.CV | In this paper, we propose a novel benchmark for evaluating local image
descriptors. We demonstrate that the existing datasets and evaluation protocols
do not specify unambiguously all aspects of evaluation, leading to ambiguities
and inconsistencies in results reported in the literature. Furthermore, these
datasets are... | computer science |
27,805 | Unassisted Quantitative Evaluation Of Despeckling Filters | cs.CV | SAR (Synthetic Aperture Radar) imaging plays a central role in Remote Sensing
due to, among other important features, its ability to provide high-resolution,
day-and-night and almost weather-independent images. SAR images are affected
from a granular contamination, speckle, that can be described by a
multiplicative mod... | computer science |
27,806 | BranchConnect: Large-Scale Visual Recognition with Learned Branch
Connections | cs.CV | We introduce an architecture for large-scale image categorization that
enables the end-to-end learning of separate visual features for the different
classes to distinguish. The proposed model consists of a deep CNN shaped like a
tree. The stem of the tree includes a sequence of convolutional layers common
to all classe... | computer science |
27,807 | A Fuzzy Brute Force Matching Method for Binary Image Features | cs.CV | Matching of binary image features is an important step in many different
computer vision applications. Conventionally, an arbitrary threshold is used to
identify a correct match from incorrect matches using Hamming distance which
may improve or degrade the matching results for different input images. This is
mainly due... | computer science |
27,808 | Enhancing Person Re-identification in a Self-trained Subspace | cs.CV | Despite the promising progress made in recent years, person re-identification
(re-ID) remains a challenging task due to the complex variations in human
appearances from different camera views. For this challenging problem, a large
variety of algorithms have been developed in the fully-supervised setting,
requiring acce... | computer science |
27,809 | Understanding the Mechanisms of Deep Transfer Learning for Medical
Images | cs.CV | The ability to automatically learn task specific feature representations has
led to a huge success of deep learning methods. When large training data is
scarce, such as in medical imaging problems, transfer learning has been very
effective. In this paper, we systematically investigate the process of
transferring a Conv... | computer science |
27,810 | End-to-End Unsupervised Deformable Image Registration with a
Convolutional Neural Network | cs.CV | In this work we propose a deep learning network for deformable image
registration (DIRNet). The DIRNet consists of a convolutional neural network
(ConvNet) regressor, a spatial transformer, and a resampler. The ConvNet
analyzes a pair of fixed and moving images and outputs parameters for the
spatial transformer, which ... | computer science |
27,811 | Exploring epoch-dependent stochastic residual networks | cs.CV | The recently proposed stochastic residual networks selectively activate or
bypass the layers during training, based on independent stochastic choices,
each of which following a probability distribution that is fixed in advance. In
this paper we present a first exploration on the use of an epoch-dependent
distribution, ... | computer science |
27,812 | Training object class detectors with click supervision | cs.CV | Training object class detectors typically requires a large set of images with
objects annotated by bounding boxes. However, manually drawing bounding boxes
is very time consuming. In this paper we greatly reduce annotation time by
proposing center-click annotations: we ask annotators to click on the center of
an imagin... | computer science |
27,813 | A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction
from Video Clips | cs.CV | We propose a variational approach to obtain super-resolution images from
multiple low-resolution frames extracted from video clips. First the
displacement between the low-resolution frames and the reference frame are
computed by an optical flow algorithm. Then a low-rank model is used to
construct the reference frame i... | computer science |
27,814 | Temporal Action Detection with Structured Segment Networks | cs.CV | Detecting actions in untrimmed videos is an important yet challenging task.
In this paper, we present the structured segment network (SSN), a novel
framework which models the temporal structure of each action instance via a
structured temporal pyramid. On top of the pyramid, we further introduce a
decomposed discrimina... | computer science |
27,815 | Towards Large-Pose Face Frontalization in the Wild | cs.CV | Despite recent advances in face recognition using deep learning, severe
accuracy drops are observed for large pose variations in unconstrained
environments. Learning pose-invariant features is one solution, but needs
expensively labeled large-scale data and carefully designed feature learning
algorithms. In this work, ... | computer science |
27,816 | Multi-view Supervision for Single-view Reconstruction via Differentiable
Ray Consistency | cs.CV | We study the notion of consistency between a 3D shape and a 2D observation
and propose a differentiable formulation which allows computing gradients of
the 3D shape given an observation from an arbitrary view. We do so by
reformulating view consistency using a differentiable ray consistency (DRC)
term. We show that thi... | computer science |
27,817 | Deep LDA-Pruned Nets for Efficient Facial Gender Classification | cs.CV | Many real-time tasks, such as human-computer interaction, require fast and
efficient facial gender classification. Although deep CNN nets have been very
effective for a multitude of classification tasks, their high space and time
demands make them impractical for personal computers and mobile devices without
a powerful... | computer science |
27,818 | Good Features to Correlate for Visual Tracking | cs.CV | During the recent years, correlation filters have shown dominant and
spectacular results for visual object tracking. The types of the features that
are employed in these family of trackers significantly affect the performance
of visual tracking. The ultimate goal is to utilize robust features invariant
to any kind of a... | computer science |
27,819 | Identifying First-person Camera Wearers in Third-person Videos | cs.CV | We consider scenarios in which we wish to perform joint scene understanding,
object tracking, activity recognition, and other tasks in environments in which
multiple people are wearing body-worn cameras while a third-person static
camera also captures the scene. To do this, we need to establish person-level
corresponde... | computer science |
27,820 | NormFace: L2 Hypersphere Embedding for Face Verification | cs.CV | Thanks to the recent developments of Convolutional Neural Networks, the
performance of face verification methods has increased rapidly. In a typical
face verification method, feature normalization is a critical step for boosting
performance. This motivates us to introduce and study the effect of
normalization during tr... | computer science |
27,821 | Robust Multi-view Pedestrian Tracking Using Neural Networks | cs.CV | In this paper, we present a real-time robust multi-view pedestrian detection
and tracking system for video surveillance using neural networks which can be
used in dynamic environments. The proposed system consists of two phases:
multi-view pedestrian detection and tracking. First, pedestrian detection
utilizes backgrou... | computer science |
27,822 | A data set for evaluating the performance of multi-class multi-object
video tracking | cs.CV | One of the challenges in evaluating multi-object video detection, tracking
and classification systems is having publically available data sets with which
to compare different systems. However, the measures of performance for tracking
and classification are different. Data sets that are suitable for evaluating
tracking ... | computer science |
27,823 | Hierarchical 3D fully convolutional networks for multi-organ
segmentation | cs.CV | Recent advances in 3D fully convolutional networks (FCN) have made it
feasible to produce dense voxel-wise predictions of full volumetric images. In
this work, we show that a multi-class 3D FCN trained on manually labeled CT
scans of seven abdominal structures (artery, vein, liver, spleen, stomach,
gallbladder, and pan... | computer science |
27,824 | Multiple Reflection Symmetry Detection via Linear-Directional Kernel
Density Estimation | cs.CV | Symmetry is an important composition feature by investigating similar sides
inside an image plane. It has a crucial effect to recognize man-made or nature
objects within the universe. Recent symmetry detection approaches used a
smoothing kernel over different voting maps in the polar coordinate system to
detect symmetr... | computer science |
27,825 | Solar Power Plant Detection on Multi-Spectral Satellite Imagery using
Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion | cs.CV | Most of the traditional convolutional neural networks (CNNs) implements
bottom-up approach (feed-forward) for image classifications. However, many
scientific studies demonstrate that visual perception in primates rely on both
bottom-up and top-down connections. Therefore, in this work, we propose a CNN
network with fee... | computer science |
27,826 | Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile
Applications | cs.CV | The use of color in QR codes brings extra data capacity, but also inflicts
tremendous challenges on the decoding process due to chromatic distortion,
cross-channel color interference and illumination variation. Particularly, we
further discover a new type of chromatic distortion in high-density color QR
codes, cross-mo... | computer science |
27,827 | A Domain Based Approach to Social Relation Recognition | cs.CV | Social relations are the foundation of human daily life. Developing
techniques to analyze such relations from visual data bears great potential to
build machines that better understand us and are capable of interacting with us
at a social level. Previous investigations have remained partial due to the
overwhelming dive... | computer science |
27,828 | A 3D fully convolutional neural network and a random walker to segment
the esophagus in CT | cs.CV | Precise delineation of organs at risk (OAR) is a crucial task in radiotherapy
treatment planning, which aims at delivering high dose to the tumour while
sparing healthy tissues. In recent years algorithms showed high performance and
the possibility to automate this task for many OAR. However, for some OAR
precise delin... | computer science |
27,829 | PQTable: Non-exhaustive Fast Search for Product-quantized Codes using
Hash Tables | cs.CV | In this paper, we propose a product quantization table (PQTable); a fast
search method for product-quantized codes via hash-tables. An identifier of
each database vector is associated with the slot of a hash table by using its
PQ-code as a key. For querying, an input vector is PQ-encoded and hashed, and
the items assoc... | computer science |
27,830 | Panorama to panorama matching for location recognition | cs.CV | Location recognition is commonly treated as visual instance retrieval on
"street view" imagery. The dataset items and queries are panoramic views, i.e.
groups of images taken at a single location. This work introduces a novel
panorama-to-panorama matching process, either by aggregating features of
individual images in ... | computer science |
27,831 | Context-based Object Viewpoint Estimation: A 2D Relational Approach | cs.CV | The task of object viewpoint estimation has been a challenge since the early
days of computer vision. To estimate the viewpoint (or pose) of an object,
people have mostly looked at object intrinsic features, such as shape or
appearance. Surprisingly, informative features provided by other, extrinsic
elements in the sce... | computer science |
27,832 | SREFI: Synthesis of Realistic Example Face Images | cs.CV | In this paper, we propose a novel face synthesis approach that can generate
an arbitrarily large number of synthetic images of both real and synthetic
identities. Thus a face image dataset can be expanded in terms of the number of
identities represented and the number of images per identity using this
approach, without... | computer science |
27,833 | On Face Segmentation, Face Swapping, and Face Perception | cs.CV | We show that even when face images are unconstrained and arbitrarily paired,
face swapping between them is actually quite simple. To this end, we make the
following contributions. (a) Instead of tailoring systems for face
segmentation, as others previously proposed, we show that a standard fully
convolutional network (... | computer science |
27,834 | ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond | cs.CV | Motivated by product detection in supermarkets, this paper studies the
problem of object proposal generation in supermarket images and other natural
images. We argue that estimation of object scales in images is helpful for
generating object proposals, especially for supermarket images where object
scales are usually w... | computer science |
27,835 | Convolutional Neural Networks for Facial Expression Recognition | cs.CV | We have developed convolutional neural networks (CNN) for a facial expression
recognition task. The goal is to classify each facial image into one of the
seven facial emotion categories considered in this study. We trained CNN models
with different depth using gray-scale images. We developed our models in Torch
and exp... | computer science |
27,836 | Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure
Constraint | cs.CV | Up to now, only limited research has been conducted on cross-modal retrieval
of suitable music for a specified video or vice versa. Moreover, much of the
existing research relies on metadata such as keywords, tags, or associated
description that must be individually produced and attached posterior. This
paper introduce... | computer science |
27,837 | Deep Learning based Isolated Arabic Scene Character Recognition | cs.CV | The technological advancement and sophistication in cameras and gadgets
prompt researchers to have focus on image analysis and text understanding. The
deep learning techniques demonstrated well to assess the potential for
classifying text from natural scene images as reported in recent years. There
are variety of deep ... | computer science |
27,838 | Deep Learning for Medical Image Processing: Overview, Challenges and
Future | cs.CV | Healthcare sector is totally different from other industry. It is on high
priority sector and people expect highest level of care and services regardless
of cost. It did not achieve social expectation even though it consume huge
percentage of budget. Mostly the interpretations of medical data is being done
by medical e... | computer science |
27,839 | On the Two-View Geometry of Unsynchronized Cameras | cs.CV | We present new methods for simultaneously estimating camera geometry and time
shift from video sequences from multiple unsynchronized cameras. Algorithms for
simultaneous computation of a fundamental matrix or a homography with unknown
time shift between images are developed. Our methods use minimal correspondence
sets... | computer science |
27,840 | Residual Attention Network for Image Classification | cs.CV | In this work, we propose "Residual Attention Network", a convolutional neural
network using attention mechanism which can incorporate with state-of-art feed
forward network architecture in an end-to-end training fashion. Our Residual
Attention Network is built by stacking Attention Modules which generate
attention-awar... | computer science |
27,841 | Second-order Temporal Pooling for Action Recognition | cs.CV | Most successful deep learning models for action recognition generate
predictions for short video clips, which are later aggregated into a longer
time-frame action descriptor by computing a statistic over these predictions.
Zeroth (max) or first order (average) statistic are commonly used. In this
paper, we explore the ... | computer science |
27,842 | Proxy Templates for Inverse Compositional Photometric Bundle Adjustment | cs.CV | Recent advances in 3D vision have demonstrated the strengths of photometric
bundle adjustment. By directly minimizing reprojected pixel errors, instead of
geometric reprojection errors, such methods can achieve sub-pixel alignment
accuracy in both high and low textured regions. Typically, these problems are
solved usin... | computer science |
27,843 | Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition | cs.CV | Recently, there has been a lot of interest in automatically generating
descriptions for an image. Most existing language-model based approaches for
this task learn to generate an image description word by word in its original
word order. However, for humans, it is more natural to locate the objects and
their relationsh... | computer science |
27,844 | Model-based Iterative Restoration for Binary Document Image Compression
with Dictionary Learning | cs.CV | The inherent noise in the observed (e.g., scanned) binary document image
degrades the image quality and harms the compression ratio through breaking the
pattern repentance and adding entropy to the document images. In this paper, we
design a cost function in Bayesian framework with dictionary learning.
Minimizing our c... | computer science |
27,845 | Group-based Sparse Representation for Image Compressive Sensing
Reconstruction with Non-Convex Regularization | cs.CV | Patch-based sparse representation modeling has shown great potential in image
compressive sensing (CS) reconstruction. However, this model usually suffers
from some limits, such as dictionary learning with great computational
complexity, neglecting the relationship among similar patches. In this paper, a
group-based sp... | computer science |
27,846 | Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image
Restoration | cs.CV | Since the matrix formed by nonlocal similar patches in a natural image is of
low rank, the nuclear norm minimization (NNM) has been widely used in various
image processing studies. Nonetheless, nuclear norm based convex surrogate of
the rank function usually over-shrinks the rank components and makes different
componen... | computer science |
27,847 | A Dual Sparse Decomposition Method for Image Denoising | cs.CV | This article addresses the image denoising problem in the situations of
strong noise. We propose a dual sparse decomposition method. This method makes
a sub-dictionary decomposition on the over-complete dictionary in the sparse
decomposition. The sub-dictionary decomposition makes use of a novel criterion
based on the ... | computer science |
27,848 | Camera Pose Filtering with Local Regression Geodesics on the Riemannian
Manifold of Dual Quaternions | cs.CV | Time-varying, smooth trajectory estimation is of great interest to the vision
community for accurate and well behaving 3D systems. In this paper, we propose
a novel principal component local regression filter acting directly on the
Riemannian manifold of unit dual quaternions $\mathbb{D} \mathbb{H}_1$. We use
a numeric... | computer science |
27,849 | Exploiting Multi-layer Graph Factorization for Multi-attributed Graph
Matching | cs.CV | Multi-attributed graph matching is a problem of finding correspondences
between two sets of data while considering their complex properties described
in multiple attributes. However, the information of multiple attributes is
likely to be oversimplified during a process that makes an integrated
attribute, and this degra... | computer science |
27,850 | Target Oriented High Resolution SAR Image Formation via Semantic
Information Guided Regularizations | cs.CV | Sparsity-regularized synthetic aperture radar (SAR) imaging framework has
shown its remarkable performance to generate a feature enhanced high resolution
image, in which a sparsity-inducing regularizer is involved by exploiting the
sparsity priors of some visual features in the underlying image. However, since
the simp... | computer science |
27,851 | Unified Framework for Automated Person Re-identification and Camera
Network Topology Inference in Camera Networks | cs.CV | Person re-identification in large-scale multi-camera networks is a
challenging task because of the spatio-temporal uncertainty and high complexity
due to large numbers of cameras and people. To handle these difficulties,
additional information such as camera network topology should be provided,
which is also difficult ... | computer science |
27,852 | Dense 3D Facial Reconstruction from a Single Depth Image in
Unconstrained Environment | cs.CV | With the increasing demands of applications in virtual reality such as 3D
films, virtual Human-Machine Interactions and virtual agents, the analysis of
3D human face analysis is considered to be more and more important as a
fundamental step for those virtual reality tasks. Due to information provided
by an additional d... | computer science |
27,853 | Body Joint guided 3D Deep Convolutional Descriptors for Action
Recognition | cs.CV | Three dimensional convolutional neural networks (3D CNNs) have been
established as a powerful tool to simultaneously learn features from both
spatial and temporal dimensions, which is suitable to be applied to video-based
action recognition. In this work, we propose not to directly use the
activations of fully-connecte... | computer science |
27,854 | Monocular Visual Odometry with a Rolling Shutter Camera | cs.CV | Rolling Shutter (RS) cameras have become popularized because of low-cost
imaging capability. However, the RS cameras suffer from undesirable artifacts
when the camera or the subject is moving, or illumination condition changes.
For that reason, Monocular Visual Odometry (MVO) with RS cameras produces
inaccurate ego-mot... | computer science |
27,855 | Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural
Network Method | cs.CV | Liver lesion segmentation is an important step for liver cancer diagnosis,
treatment planning and treatment evaluation. LiTS (Liver Tumor Segmentation
Challenge) provides a common testbed for comparing different automatic liver
lesion segmentation methods. We participate in this challenge by developing a
deep convoluti... | computer science |
27,856 | Supervised Adversarial Networks for Image Saliency Detection | cs.CV | In the past few years, Generative Adversarial Network (GAN) became a
prevalent research topic. By defining two convolutional neural networks
(G-Network and D-Network) and introducing an adversarial procedure between them
during the training process, GAN has ability to generate good quality images
that look like natural... | computer science |
27,857 | Fast PET reconstruction using Multi-scale Fully Convolutional Neural
Networks | cs.CV | Reconstruction of PET images is an ill-posed inverse problem and often
requires iterative algorithms to achieve good image quality for reliable
clinical use in practice, at huge computational costs. In this paper, we
consider the PET reconstruction a dense prediction problem where the large
scale contextual information... | computer science |
27,858 | Measuring the Accuracy of Object Detectors and Trackers | cs.CV | The accuracy of object detectors and trackers is most commonly evaluated by
the Intersection over Union (IoU) criterion. To date, most approaches are
restricted to axis-aligned or oriented boxes and, as a consequence, many
datasets are only labeled with boxes. Nevertheless, axis-aligned or oriented
boxes cannot accurat... | computer science |
27,859 | A Real-time Hand Gesture Recognition and Human-Computer Interaction
System | cs.CV | In this project, we design a real-time human-computer interaction system
based on hand gesture. The whole system consists of three components: hand
detection, gesture recognition and human-computer interaction (HCI) based on
recognition; and realizes the robust control of mouse and keyboard events with
a higher accurac... | computer science |
27,860 | Detection, Recognition and Tracking of Moving Objects from Real-time
Video via SP Theory of Intelligence and Species Inspired PSO | cs.CV | In this paper, we address the basic problem of recognizing moving objects in
video images using SP Theory of Intelligence. The concept of SP Theory of
Intelligence which is a framework of artificial intelligence, was first
introduced by Gerard J Wolff, where S stands for Simplicity and P stands for
Power. Using the con... | computer science |
27,861 | Accurate Optical Flow via Direct Cost Volume Processing | cs.CV | We present an optical flow estimation approach that operates on the full
four-dimensional cost volume. This direct approach shares the structural
benefits of leading stereo matching pipelines, which are known to yield high
accuracy. To this day, such approaches have been considered impractical due to
the size of the co... | computer science |
27,862 | Detecting and Recognizing Human-Object Interactions | cs.CV | To understand the visual world, a machine must not only recognize individual
object instances but also how they interact. Humans are often at the center of
such interactions and detecting human-object interactions is an important
practical and scientific problem. In this paper, we address the task of
detecting <human, ... | computer science |
27,863 | A Context Aware and Video-Based Risk Descriptor for Cyclists | cs.CV | Aiming to reduce pollutant emissions, bicycles are regaining popularity
specially in urban areas. However, the number of cyclists' fatalities is not
showing the same decreasing trend as the other traffic groups. Hence,
monitoring cyclists' data appears as a keystone to foster urban cyclists'
safety by helping urban pla... | computer science |
27,864 | A Labeling-Free Approach to Supervising Deep Neural Networks for Retinal
Blood Vessel Segmentation | cs.CV | Segmenting blood vessels in fundus imaging plays an important role in medical
diagnosis. Many algorithms have been proposed. While deep Neural Networks have
been attracting enormous attention from computer vision community recent years
and several novel works have been done in terms of its application in retinal
blood ... | computer science |
27,865 | Towards a quality metric for dense light fields | cs.CV | Light fields become a popular representation of three dimensional scenes, and
there is interest in their processing, resampling, and compression. As those
operations often result in loss of quality, there is a need to quantify it. In
this work, we collect a new dataset of dense reference and distorted light
fields as w... | computer science |
27,866 | Skeleton-based Action Recognition with Convolutional Neural Networks | cs.CV | Current state-of-the-art approaches to skeleton-based action recognition are
mostly based on recurrent neural networks (RNN). In this paper, we propose a
novel convolutional neural networks (CNN) based framework for both action
classification and detection. Raw skeleton coordinates as well as skeleton
motion are fed di... | computer science |
27,867 | Joint Layout Estimation and Global Multi-View Registration for Indoor
Reconstruction | cs.CV | In this paper, we propose a novel method to jointly solve scene layout
estimation and global registration problems for accurate indoor 3D
reconstruction. Given a sequence of range data, we first build a set of scene
fragments using KinectFusion and register them through pose graph optimization.
Afterwards, we alternate... | computer science |
27,868 | Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering | cs.CV | Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel
Disease (SVD), also indicating neuroinflammation, and are an important part of
the brain's circulation and glymphatic drainage system. Quantitative analysis
of PVS on Magnetic Resonance Images (MRI) is important for understanding their
relation... | computer science |
27,869 | Inception Recurrent Convolutional Neural Network for Object Recognition | cs.CV | Deep convolutional neural networks (DCNNs) are an influential tool for
solving various problems in the machine learning and computer vision fields. In
this paper, we introduce a new deep learning model called an Inception-
Recurrent Convolutional Neural Network (IRCNN), which utilizes the power of an
inception network ... | computer science |
27,870 | Masked Signal Decomposition Using Subspace Representation and Its
Applications | cs.CV | Signal decomposition is a classical problem in signal processing, which aims
to separate an observed signal into two or more components each with its own
property. Usually each component is described by its own subspace or
dictionary. Extensive research has been done for the case where the components
are additive, but ... | computer science |
27,871 | Speeding up Convolutional Neural Networks By Exploiting the Sparsity of
Rectifier Units | cs.CV | Rectifier neuron units (ReLUs) have been widely used in deep convolutional
networks. An ReLU converts negative values to zeros, and does not change
positive values, which leads to a high sparsity of neurons. In this work, we
first examine the sparsity of the outputs of ReLUs in some popular deep
convolutional architect... | computer science |
27,872 | Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical
Segmentation | cs.CV | Deep learning models such as convolutional neural net- work have been widely
used in 3D biomedical segmentation and achieve state-of-the-art performance.
However, most of them often adapt a single modality or stack multiple
modalities as different input channels. To better leverage the multi-
modalities, we propose a d... | computer science |
27,873 | Arabidopsis roots segmentation based on morphological operations and
CRFs | cs.CV | Arabidopsis thaliana is a plant species widely utilized by scientists to
estimate the impact of genetic differences in root morphological features. For
this purpose, images of this plant after genetic modifications are taken to
study differences in the root architecture. This task requires manual
segmentations of radic... | computer science |
27,874 | SfM-Net: Learning of Structure and Motion from Video | cs.CV | We propose SfM-Net, a geometry-aware neural network for motion estimation in
videos that decomposes frame-to-frame pixel motion in terms of scene and object
depth, camera motion and 3D object rotations and translations. Given a sequence
of frames, SfM-Net predicts depth, segmentation, camera and rigid object
motions, c... | computer science |
27,875 | Hand Keypoint Detection in Single Images using Multiview Bootstrapping | cs.CV | We present an approach that uses a multi-camera system to train fine-grained
detectors for keypoints that are prone to occlusion, such as the joints of a
hand. We call this procedure multiview bootstrapping: first, an initial
keypoint detector is used to produce noisy labels in multiple views of the
hand. The noisy det... | computer science |
27,876 | Unsupervised Learning of Depth and Ego-Motion from Video | cs.CV | We present an unsupervised learning framework for the task of monocular depth
and camera motion estimation from unstructured video sequences. We achieve this
by simultaneously training depth and camera pose estimation networks using the
task of view synthesis as the supervisory signal. The networks are thus coupled
via... | computer science |
27,877 | Multi-View Dynamic Facial Action Unit Detection | cs.CV | We propose a novel convolutional neural network architecture to address the
fine-grained recognition problem of multi-view dynamic facial action unit
detection. We leverage recent gains in large-scale object recognition by
formulating the task of predicting the presence or absence of a specific action
unit in a still i... | computer science |
27,878 | Spatio-temporal Person Retrieval via Natural Language Queries | cs.CV | In this paper, we address the problem of spatio-temporal person retrieval
from multiple videos using a natural language query, in which we output a tube
(i.e., a sequence of bounding boxes) which encloses the person described by the
query. For this problem, we introduce a novel dataset consisting of videos
containing p... | computer science |
27,879 | Nonlinear Unsupervised Clustering of Hyperspectral Images with
Applications to Anomaly Detection and Active Learning | cs.CV | The problem of unsupervised learning and segmentation of hyperspectral images
is a significant challenge in remote sensing. The high dimensionality of
hyperspectral data, presence of substantial noise, and overlap of classes all
contribute to the difficulty of automatically clustering and segmenting
hyperspectral image... | computer science |
27,880 | Towards Estimating the Upper Bound of Visual-Speech Recognition: The
Visual Lip-Reading Feasibility Database | cs.CV | Speech is the most used communication method between humans and it involves
the perception of auditory and visual channels. Automatic speech recognition
focuses on interpreting the audio signals, although the video can provide
information that is complementary to the audio. Exploiting the visual
information, however, h... | computer science |
27,881 | Airway segmentation from 3D chest CT volumes based on volume of interest
using gradient vector flow | cs.CV | Some lung diseases are related to bronchial airway structures and morphology.
Although airway segmentation from chest CT volumes is an important task in the
computer-aided diagnosis and surgery assistance systems for the chest, complete
3-D airway structure segmentation is a quite challenging task due to its
complex tr... | computer science |
27,882 | Automatic Viseme Vocabulary Construction to Enhance Continuous
Lip-reading | cs.CV | Speech is the most common communication method between humans and involves
the perception of both auditory and visual channels. Automatic speech
recognition focuses on interpreting the audio signals, but it has been
demonstrated that video can provide information that is complementary to the
audio. Thus, the study of a... | computer science |
27,883 | SphereFace: Deep Hypersphere Embedding for Face Recognition | cs.CV | This paper addresses deep face recognition (FR) problem under open-set
protocol, where ideal face features are expected to have smaller maximal
intra-class distance than minimal inter-class distance under a suitably chosen
metric space. However, few existing algorithms can effectively achieve this
criterion. To this en... | computer science |
27,884 | AutoDIAL: Automatic DomaIn Alignment Layers | cs.CV | Classifiers trained on given databases perform poorly when tested on data
acquired in different settings. This is explained in domain adaptation through
a shift among distributions of the source and target domains. Attempts to align
them have traditionally resulted in works reducing the domain shift by
introducing appr... | computer science |
27,885 | A Faster Patch Ordering Method for Image Denoising | cs.CV | Among the patch-based image denoising processing methods, smooth ordering of
local patches (patch ordering) has been shown to give state-of-art results. For
image denoising the patch ordering method forms two large TSPs (Traveling
Salesman Problem) comprised of nodes in N-dimensional space. Ten approximate
solutions of... | computer science |
27,886 | Misdirected Registration Uncertainty | cs.CV | Being a task of establishing spatial correspondences, medical image
registration is often formalized as finding the optimal transformation that
best aligns two images. Since the transformation is such an essential component
of registration, most existing researches conventionally quantify the
registration uncertainty, ... | computer science |
27,887 | Compact Descriptors for Video Analysis: the Emerging MPEG Standard | cs.CV | This paper provides an overview of the on-going compact descriptors for video
analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG).
MPEG-CDVA targets at defining a standardized bitstream syntax to enable
interoperability in the context of video analysis applications. During the
developments of... | computer science |
27,888 | New region force for variational models in image segmentation and high
dimensional data clustering | cs.CV | We propose an effective framework for multi-phase image segmentation and
semi-supervised data clustering by introducing a novel region force term into
the Potts model. Assume the probability that a pixel or a data point belongs to
each class is known a priori. We show that the corresponding indicator function
obeys the... | computer science |
27,889 | Face Identification and Clustering | cs.CV | In this thesis, we study two problems based on clustering algorithms. In the
first problem, we study the role of visual attributes using an agglomerative
clustering algorithm to whittle down the search area where the number of
classes is high to improve the performance of clustering. We observe that as we
add more attr... | computer science |
27,890 | Joint Semantic and Motion Segmentation for dynamic scenes using Deep
Convolutional Networks | cs.CV | Dynamic scene understanding is a challenging problem and motion segmentation
plays a crucial role in solving it. Incorporating semantics and motion enhances
the overall perception of the dynamic scene. For applications of outdoor
robotic navigation, joint learning methods have not been extensively used for
extracting s... | computer science |
27,891 | Semantic Autoencoder for Zero-Shot Learning | cs.CV | Existing zero-shot learning (ZSL) models typically learn a projection
function from a feature space to a semantic embedding space (e.g.~attribute
space). However, such a projection function is only concerned with predicting
the training seen class semantic representation (e.g.~attribute prediction) or
classification. W... | computer science |
27,892 | (Quasi)Periodicity Quantification in Video Data, Using Topology | cs.CV | This work introduces a novel framework for quantifying the presence and
strength of recurrent dynamics in video data. Specifically, we provide
continuous measures of periodicity (perfect repetition) and quasiperiodicity
(superposition of periodic modes with non-commensurate periods), in a way which
does not require seg... | computer science |
27,893 | Locality Preserving Projections for Grassmann manifold | cs.CV | Learning on Grassmann manifold has become popular in many computer vision
tasks, with the strong capability to extract discriminative information for
imagesets and videos. However, such learning algorithms particularly on
high-dimensional Grassmann manifold always involve with significantly high
computational cost, whi... | computer science |
27,894 | ICNet for Real-Time Semantic Segmentation on High-Resolution Images | cs.CV | We focus on the challenging task of realtime semantic segmentation in this
paper. It finds many practical applications and yet is with fundamental
difficulty of reducing a large portion of computation for pixel-wise label
inference. We propose an compressed-PSPNet-based image cascade network (ICNet)
that incorporates m... | computer science |
27,895 | BAM! The Behance Artistic Media Dataset for Recognition Beyond
Photography | cs.CV | Computer vision systems are designed to work well within the context of
everyday photography. However, artists often render the world around them in
ways that do not resemble photographs. Artwork produced by people is not
constrained to mimic the physical world, making it more challenging for
machines to recognize.
T... | computer science |
27,896 | Full-Page Text Recognition: Learning Where to Start and When to Stop | cs.CV | Text line detection and localization is a crucial step for full page document
analysis, but still suffers from heterogeneity of real life documents. In this
paper, we present a new approach for full page text recognition. Localization
of the text lines is based on regressions with Fully Convolutional Neural
Networks an... | computer science |
27,897 | Sparse Hierachical Extrapolated Parametric Methods for Cortical Data
Analysis | cs.CV | Many neuroimaging studies focus on the cortex, in order to benefit from
better signal to noise ratios and reduced computational burden. Cortical data
are usually projected onto a reference mesh, where subsequent analyses are
carried out. Several multiscale approaches have been proposed for analyzing
these surface data,... | computer science |
27,898 | Deep Functional Maps: Structured Prediction for Dense Shape
Correspondence | cs.CV | We introduce a new framework for learning dense correspondence between
deformable 3D shapes. Existing learning based approaches model shape
correspondence as a labelling problem, where each point of a query shape
receives a label identifying a point on some reference domain; the
correspondence is then constructed a pos... | computer science |
27,899 | Action Understanding with Multiple Classes of Actors | cs.CV | Despite the rapid progress, existing works on action understanding focus
strictly on one type of action agent, which we call actor---a human adult,
ignoring the diversity of actions performed by other actors. To overcome this
narrow viewpoint, our paper marks the first effort in the computer vision
community to jointly... | computer science |
27,900 | Improving Facial Attribute Prediction using Semantic Segmentation | cs.CV | Attributes are semantically meaningful characteristics whose applicability
widely crosses category boundaries. They are particularly important in
describing and recognizing concepts where no explicit training example is
given, \textit{e.g., zero-shot learning}. Additionally, since attributes are
human describable, they... | computer science |
27,901 | GazeDirector: Fully Articulated Eye Gaze Redirection in Video | cs.CV | We present GazeDirector, a new approach for eye gaze redirection that uses
model-fitting. Our method first tracks the eyes by fitting a multi-part eye
region model to video frames using analysis-by-synthesis, thereby recovering
eye region shape, texture, pose, and gaze simultaneously. It then redirects
gaze by 1) warpi... | computer science |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.