Computer Vision and Pattern Recognition

Papers filed under cs.CV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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25,321 to 25,380 of 27,473

  1. Simultaneous Feature Learning and Hash Coding with Deep Neural Networks

    Hanjiang Lai, Yan Pan, Ye Liu +1

    cs.CVarXiv:1504.03410v12015
  2. Image-based Recommendations on Styles and Substitutes

    Julian McAuley, Christopher Targett, Qinfeng Shi +1

    cs.CVcs.IRarXiv:1506.04757v12015
  3. Unsupervised Learning of Video Representations using LSTMs

    Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov

    cs.LGcs.CVcs.NEarXiv:1502.04681v32015
  4. Exploring Nearest Neighbor Approaches for Image Captioning

    Jacob Devlin, Saurabh Gupta, Ross Girshick +2

    cs.CVarXiv:1505.04467v12015
  5. Beyond Short Snippets: Deep Networks for Video Classification

    Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan +3

    cs.CVarXiv:1503.08909v22015
  6. Oriented Edge Forests for Boundary Detection

    Sam Hallman, Charless C. Fowlkes

    cs.CVarXiv:1412.4181v22014
  7. Rotation-invariant convolutional neural networks for galaxy morphology prediction

    Sander Dieleman, Kyle W. Willett, Joni Dambre

    astro-ph.IMastro-ph.GAcs.CVarXiv:1503.07077v12015
  8. An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

    Baoguang Shi, Xiang Bai, Cong Yao

    cs.CVarXiv:1507.05717v12015
  9. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

    Jifeng Dai, Kaiming He, Jian Sun

    cs.CVarXiv:1503.01640v22015
  10. Objects2action: Classifying and localizing actions without any video example

    Mihir Jain, Jan C. van Gemert, Thomas Mensink +1

    cs.CVarXiv:1510.06939v12015
  11. Segmentation of Liver Lesions with Reduced Complexity Deep Models

    Ram Krishna Pandey, Aswin Vasan, A G Ramakrishnan

    cs.CVarXiv:1805.09233v12018
  12. CNN: Single-label to Multi-label

    Yunchao Wei, Wei Xia, Junshi Huang +4

    cs.CVarXiv:1406.5726v32014
  13. Do Convnets Learn Correspondence?

    Jonathan Long, Ning Zhang, Trevor Darrell

    cs.CVcs.LGcs.NEarXiv:1411.1091v12014
  14. Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

    Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2

    cs.CVcs.LGcs.ROarXiv:1804.01310v12018
  15. Appearance-Based Gaze Estimation in the Wild

    Xucong Zhang, Yusuke Sugano, Mario Fritz +1

    cs.CVarXiv:1504.02863v12015
  16. FlowNet: Learning Optical Flow with Convolutional Networks

    Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6

    cs.CVcs.LGarXiv:1504.06852v22015
  17. Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

    Alexander Krull, Eric Brachmann, Frank Michel +3

    cs.CVarXiv:1508.04546v12015
  18. Exploring Models and Data for Image Question Answering

    Mengye Ren, Ryan Kiros, Richard Zemel

    cs.LGcs.AIcs.CLarXiv:1505.02074v42015
  19. Transferring Rich Feature Hierarchies for Robust Visual Tracking

    Naiyan Wang, Siyi Li, Abhinav Gupta +1

    cs.CVcs.NEarXiv:1501.04587v22015
  20. Convolutional Feature Masking for Joint Object and Stuff Segmentation

    Jifeng Dai, Kaiming He, Jian Sun

    cs.CVarXiv:1412.1283v42014
  21. Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark

    Xiaodan Liang, Ke Gong, Xiaohui Shen +1

    cs.CVarXiv:1804.01984v12018
  22. Rotation-Sensitive Regression for Oriented Scene Text Detection

    Minghui Liao, Zhen Zhu, Baoguang Shi +2

    cs.CVarXiv:1803.05265v12018
  23. Functional Map of the World

    Gordon Christie, Neil Fendley, James Wilson +1

    cs.CVarXiv:1711.07846v32017
  24. DeepID3: Face Recognition with Very Deep Neural Networks

    Yi Sun, Ding Liang, Xiaogang Wang +1

    cs.CVarXiv:1502.00873v12015
  25. Aggregate channel features for multi-view face detection

    Bin Yang, Junjie Yan, Zhen Lei +1

    cs.CVarXiv:1407.4023v22014
  26. Learning both Weights and Connections for Efficient Neural Networks

    Song Han, Jeff Pool, John Tran +1

    cs.NEcs.CVcs.LGarXiv:1506.02626v32015
  27. Survey on Emotional Body Gesture Recognition

    Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kamińska +3

    cs.CVarXiv:1801.07481v12018
  28. Towards Automatic Learning of Procedures from Web Instructional Videos

    Luowei Zhou, Chenliang Xu, Jason J. Corso

    cs.CVarXiv:1703.09788v32017
  29. Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

    Fang Zhao, Yongzhen Huang, Liang Wang +1

    cs.CVcs.LGarXiv:1501.06272v22015
  30. On the Performance of ConvNet Features for Place Recognition

    Niko Sünderhauf, Feras Dayoub, Sareh Shirazi +2

    cs.ROcs.CVarXiv:1501.04158v32015
  31. Inverting Visual Representations with Convolutional Networks

    Alexey Dosovitskiy, Thomas Brox

    cs.NEcs.CVcs.LGarXiv:1506.02753v42015
  32. Real-Time Grasp Detection Using Convolutional Neural Networks

    Joseph Redmon, Anelia Angelova

    cs.ROcs.CVarXiv:1412.3128v22014
  33. Salient Object Detection: A Benchmark

    Ali Borji, Ming-Ming Cheng, Huaizu Jiang +1

    cs.CVarXiv:1501.02741v22015
  34. FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

    Judy Hoffman, Dequan Wang, Fisher Yu +1

    cs.CVarXiv:1612.02649v12016
  35. Show and Tell: A Neural Image Caption Generator

    Oriol Vinyals, Alexander Toshev, Samy Bengio +1

    cs.CVarXiv:1411.4555v22014
  36. Striving for Simplicity: The All Convolutional Net

    Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox +1

    cs.LGcs.CVcs.NEarXiv:1412.6806v32014
  37. Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

    Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba +2

    cs.CVcs.LGarXiv:1412.6553v32014
  38. Learning to Detect Violent Videos using Convolutional Long Short-Term Memory

    Swathikiran Sudhakaran, Oswald Lanz

    cs.CVarXiv:1709.06531v12017
  39. Art of singular vectors and universal adversarial perturbations

    Valentin Khrulkov, Ivan Oseledets

    cs.CVcs.AIcs.LGarXiv:1709.03582v22017
  40. Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

    Anh Nguyen, Jason Yosinski, Jeff Clune

    cs.CVcs.AIcs.NEarXiv:1412.1897v42014
  41. Multi-Atlas Segmentation of Biomedical Images: A Survey

    Juan Eugenio Iglesias, Mert Rory Sabuncu

    cs.CVarXiv:1412.3421v22014
  42. Contextual Action Recognition with R*CNN

    Georgia Gkioxari, Ross Girshick, Jitendra Malik

    cs.CVarXiv:1505.01197v32015
  43. Dense Optical Flow Prediction from a Static Image

    Jacob Walker, Abhinav Gupta, Martial Hebert

    cs.CVarXiv:1505.00295v22015
  44. Actions and Attributes from Wholes and Parts

    Georgia Gkioxari, Ross Girshick, Jitendra Malik

    cs.CVarXiv:1412.2604v22014
  45. DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection

    Gedas Bertasius, Jianbo Shi, Lorenzo Torresani

    cs.CVarXiv:1412.1123v32014
  46. Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research

    Atousa Torabi, Christopher Pal, Hugo Larochelle +1

    cs.CVcs.AIarXiv:1503.01070v12015
  47. Designing Deep Networks for Surface Normal Estimation

    Xiaolong Wang, David F. Fouhey, Abhinav Gupta

    cs.CVarXiv:1411.4958v12014
  48. Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet

    Matthias Kümmerer, Lucas Theis, Matthias Bethge

    cs.CVq-bio.NCstat.AParXiv:1411.1045v42014
  49. Translating Videos to Natural Language Using Deep Recurrent Neural Networks

    Subhashini Venugopalan, Huijuan Xu, Jeff Donahue +3

    cs.CVcs.CLarXiv:1412.4729v32014
  50. Going Deeper with Convolutions

    Christian Szegedy, Wei Liu, Yangqing Jia +6

    cs.CVarXiv:1409.4842v12014
  51. What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision

    Jonathan Malmaud, Jonathan Huang, Vivek Rathod +3

    cs.CLcs.CVcs.IRarXiv:1503.01558v32015
  52. Bayesian Robust Tensor Factorization for Incomplete Multiway Data

    Qibin Zhao, Guoxu Zhou, Liqing Zhang +2

    cs.CVcs.LGarXiv:1410.2386v22014
  53. Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks

    Joseph Antony, Kevin McGuinness, Noel E O Connor +1

    cs.CVarXiv:1609.02469v12016
  54. Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

    Yuke Zhu, Roozbeh Mottaghi, Eric Kolve +4

    cs.CVarXiv:1609.05143v12016
  55. CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

    Yuanjun Xiong, Limin Wang, Zhe Wang +7

    cs.CVarXiv:1608.00797v12016
  56. Image Aesthetic Assessment: An Experimental Survey

    Yubin Deng, Chen Change Loy, Xiaoou Tang

    cs.CVarXiv:1610.00838v22016
  57. Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

    Jonathan Tompson, Arjun Jain, Yann LeCun +1

    cs.CVarXiv:1406.2984v22014
  58. Caffe: Convolutional Architecture for Fast Feature Embedding

    Yangqing Jia, Evan Shelhamer, Jeff Donahue +5

    cs.CVcs.LGcs.NEarXiv:1408.5093v12014
  59. Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty

    Edward Johns, Stefan Leutenegger, Andrew J. Davison

    cs.ROcs.CVcs.LGarXiv:1608.02239v12016
  60. Deep metric learning using Triplet network

    Elad Hoffer, Nir Ailon

    cs.LGcs.CVstat.MLarXiv:1412.6622v42014