Computer Vision and Pattern Recognition

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25,201 to 25,260 of 27,443

Learning Deep Representations of Fine-grained Visual Descriptions
Scott Reed, Zeynep Akata, Bernt Schiele +1
cs.CVarXiv:1605.05395v12016
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen, Ari Seff, Alain Kornhauser +1
cs.CVarXiv:1505.00256v32015
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)
David Gutman, Noel C. F. Codella, Emre Celebi +4
cs.CVarXiv:1605.01397v12016
Understanding and Diagnosing Visual Tracking Systems
Naiyan Wang, Jianping Shi, Dit-Yan Yeung +1
cs.CVarXiv:1504.06055v12015
Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
Marc Tonsen, Xucong Zhang, Yusuke Sugano +1
cs.CVarXiv:1511.05768v12015
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin, Laurens van der Maaten, Allan Jabri +1
cs.CVarXiv:1511.02251v12015
A Unified Deep Neural Network for Speaker and Language Recognition
Fred Richardson, Douglas Reynolds, Najim Dehak
cs.CLcs.CVcs.LGarXiv:1504.00923v12015
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan, Hacer Yalim Keles
cs.CVarXiv:2008.00932v22020
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach +3
cs.CVcs.CLarXiv:1511.05284v22015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla
cs.CVcs.NEarXiv:1511.02680v22015
Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
cs.CLcs.AIcs.CVarXiv:1604.03968v12016
DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen, Liang Lin, Lingbo Liu +2
cs.CVarXiv:1511.04192v22015
SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu +3
cs.CVarXiv:2003.02683v52020
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang, Jürgen Leitner, Michael Milford +2
cs.LGcs.CVcs.ROarXiv:1511.03791v22015
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan, Zhongwen Xu, Yi Yang +2
cs.CVarXiv:1511.03476v12015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
cs.CVcs.LGcs.NEarXiv:1510.02969v32015
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Takuya Narihira, Michael Maire, Stella X. Yu
cs.CVarXiv:1512.02311v12015
Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord, Eric Postma
cs.CVarXiv:1602.01255v22016
Generating images with recurrent adversarial networks
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang +1
cs.LGcs.CVarXiv:1602.05110v52016
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Andreas Veit, Balazs Kovacs, Sean Bell +3
cs.CVarXiv:1509.07473v12015
Lipreading with Long Short-Term Memory
Michael Wand, Jan Koutník, Jürgen Schmidhuber
cs.CVcs.CLarXiv:1601.08188v12016
Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
cs.CVcs.LGeess.IVarXiv:2002.04170v22020
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, William J. Dally
cs.CVcs.NEarXiv:1510.00149v52015
Deep Contrast Learning for Salient Object Detection
Guanbin Li, Yizhou Yu
cs.CVarXiv:1603.01976v12016
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Ali Mollahosseini, David Chan, Mohammad H. Mahoor
cs.NEcs.CVarXiv:1511.04110v12015
MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
Qing Zhu, Cheng Liao, Han Hu +2
cs.CVarXiv:1910.12060v22019
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Deepti Ghadiyaram, Alan C. Bovik
cs.CVarXiv:1511.02919v12015
Natural Language Object Retrieval
Ronghang Hu, Huazhe Xu, Marcus Rohrbach +3
cs.CVcs.CLarXiv:1511.04164v32015
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Chenxu Luo, Alan Yuille
cs.CVarXiv:1909.13130v12019
Staple: Complementary Learners for Real-Time Tracking
Luca Bertinetto, Jack Valmadre, Stuart Golodetz +2
cs.CVarXiv:1512.01355v22015
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect
Qifei Wang, Gregorij Kurillo, Ferda Ofli +1
cs.CVcs.AIarXiv:1512.04134v12015
Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie W. Mathis, Alexander Mathis
cs.CVq-bio.NCq-bio.QMarXiv:1909.13868v22019
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Yoonchang Han, Jaehun Kim, Kyogu Lee
cs.SDcs.CVcs.LGarXiv:1605.09507v32016
An Introduction to Convolutional Neural Networks
Keiron O'Shea, Ryan Nash
cs.NEcs.CVcs.LGarXiv:1511.08458v22015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015
Deep convolutional neural networks for pedestrian detection
Denis Tomè, Federico Monti, Luca Baroffio +3
cs.CVarXiv:1510.03608v52015
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
Junyi Pan, Xiaoguang Han, Weikai Chen +2
cs.CVarXiv:1909.00321v12019
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu, Chunhua Shen, Anton van den Hengel +2
cs.CVarXiv:1603.02814v22016
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
Shreeyak S. Sajjan, Matthew Moore, Mike Pan +4
cs.CVcs.ROeess.IVarXiv:1910.02550v22019
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
Michael Xie, Neal Jean, Marshall Burke +2
cs.CVcs.CYarXiv:1510.00098v22015
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser +4
cs.CVcs.LGstat.MLarXiv:1512.02134v12015
RUBi: Reducing Unimodal Biases in Visual Question Answering
Remi Cadene, Corentin Dancette, Hedi Ben-younes +2
cs.CVcs.CLcs.LGarXiv:1906.10169v22019
Modelling Uncertainty in Deep Learning for Camera Relocalization
Alex Kendall, Roberto Cipolla
cs.CVcs.ROarXiv:1509.05909v22015
Semantic Amodal Segmentation
Yan Zhu, Yuandong Tian, Dimitris Mexatas +1
cs.CVarXiv:1509.01329v22015
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
Qiao Liu, Xin Li, Zhenyu He +3
cs.CVarXiv:1906.03568v12019
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
Shifeng Zhang, Ajian Liu, Jun Wan +5
cs.CVarXiv:1908.10654v22019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim, Minki Jeong, Seunghyeon Kim +2
cs.CVarXiv:1905.05396v12019
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang, Jiawan Zhang, Xiaojie Guo
cs.CVarXiv:1905.04161v12019
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki +1
cs.CVcs.LGarXiv:1506.07452v12015
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska, Ingmar Posner
cs.LGcs.AIcs.CVarXiv:1602.00991v22016
P-CNN: Pose-based CNN Features for Action Recognition
Guilhem Chéron, Ivan Laptev, Cordelia Schmid
cs.CVarXiv:1506.03607v22015
Foveation-based Mechanisms Alleviate Adversarial Examples
Yan Luo, Xavier Boix, Gemma Roig +2
cs.LGcs.CVarXiv:1511.06292v32015
Towards Deep Neural Network Architectures Robust to Adversarial Examples
Shixiang Gu, Luca Rigazio
cs.LGcs.CVcs.NEarXiv:1412.5068v42014
Panoptic Feature Pyramid Networks
Alexander Kirillov, Ross Girshick, Kaiming He +1
cs.CVarXiv:1901.02446v22019
Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael Bernstein +1
cs.CVcs.LGcs.NEarXiv:1511.03416v42015
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li, Tianhan Wei, Yau Pun Chen +2
cs.CVarXiv:1907.12347v22019
Embedding Label Structures for Fine-Grained Feature Representation
Xiaofan Zhang, Feng Zhou, Yuanqing Lin +1
cs.CVarXiv:1512.02895v22015
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu, Jiajun Wu, Andy Zeng +2
cs.ROcs.AIcs.CVarXiv:1906.03853v22019
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
Binbin Xu, Wenbin Li, Dimos Tzoumanikas +3
cs.ROcs.CVarXiv:1812.07976v42018

Computer Vision and Pattern Recognition

Learning Deep Representations of Fine-grained Visual Descriptions

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Understanding and Diagnosing Visual Tracking Systems

Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments

Resnet in Resnet: Generalizing Residual Architectures

Learning Visual Features from Large Weakly Supervised Data

A Unified Deep Neural Network for Speaker and Language Recognition

AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Visual Storytelling

DISC: Deep Image Saliency Computing via Progressive Representation Learning

SketchyCOCO: Image Generation from Freehand Scene Sketches

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression

Learning scale-variant and scale-invariant features for deep image classification

Generating images with recurrent adversarial networks

Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences

Lipreading with Long Short-Term Memory

Learning to Incorporate Structure Knowledge for Image Inpainting

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Deep Contrast Learning for Salient Object Detection

Going Deeper in Facial Expression Recognition using Deep Neural Networks

MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

Massive Online Crowdsourced Study of Subjective and Objective Picture Quality

Natural Language Object Retrieval

Grouped Spatial-Temporal Aggregation for Efficient Action Recognition

Staple: Complementary Learners for Real-Time Tracking

Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect

Deep learning tools for the measurement of animal behavior in neuroscience

Deep convolutional neural networks for predominant instrument recognition in polyphonic music

An Introduction to Convolutional Neural Networks

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Deep convolutional neural networks for pedestrian detection

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks

Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

RUBi: Reducing Unimodal Biases in Visual Question Answering

Modelling Uncertainty in Deep Learning for Camera Relocalization

Semantic Amodal Segmentation

Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking

CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

Kindling the Darkness: A Practical Low-light Image Enhancer

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

P-CNN: Pose-based CNN Features for Action Recognition

Foveation-based Mechanisms Alleviate Adversarial Examples

Towards Deep Neural Network Architectures Robust to Adversarial Examples

Panoptic Feature Pyramid Networks

Visual7W: Grounded Question Answering in Images

FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

Embedding Label Structures for Fine-Grained Feature Representation

DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM