| Imagenet: A large-scale hierarchical image database J Deng, W Dong, R Socher, LJ Li, K Li, L Fei-Fei 2009 IEEE conference on computer vision and pattern recognition, 248-255, 2009 | 38882 | 2009 |
| Imagenet large scale visual recognition challenge O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ... International journal of computer vision 115 (3), 211-252, 2015 | 30143 | 2015 |
| Stacked hourglass networks for human pose estimation A Newell, K Yang, J Deng European conference on computer vision, 483-499, 2016 | 4009 | 2016 |
| A large-scale hierarchical image database J Deng Proc. of IEEE Computer Vision and Pattern Recognition, 2009, 2009 | 2653 | 2009 |
| Cornernet: Detecting objects as paired keypoints H Law, J Deng Proceedings of the European conference on computer vision (ECCV), 734-750, 2018 | 2026 | 2018 |
| 3d object representations for fine-grained categorization J Krause, M Stark, J Deng, L Fei-Fei Proceedings of the IEEE international conference on computer vision …, 2013 | 1868 | 2013 |
| Associative embedding: End-to-end learning for joint detection and grouping A Newell, Z Huang, J Deng Advances in neural information processing systems 30, 2017 | 654 | 2017 |
| What does classifying more than 10,000 image categories tell us? J Deng, AC Berg, K Li, L Fei-Fei European conference on computer vision, 71-84, 2010 | 615 | 2010 |
| Large-scale object classification using label relation graphs J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ... European conference on computer vision, 48-64, 2014 | 449 | 2014 |
| Rethinking the faster r-cnn architecture for temporal action localization YW Chao, S Vijayanarasimhan, B Seybold, DA Ross, J Deng, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 438 | 2018 |
| Single-image depth perception in the wild W Chen, Z Fu, D Yang, J Deng Advances in neural information processing systems, 730-738, 2016 | 407 | 2016 |
| Raft: Recurrent all-pairs field transforms for optical flow Z Teed, J Deng European conference on computer vision, 402-419, 2020 | 394 | 2020 |
| Fine-grained crowdsourcing for fine-grained recognition J Deng, J Krause, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 356 | 2013 |
| Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States T Gebru, J Krause, Y Wang, D Chen, J Deng, EL Aiden, L Fei-Fei Proceedings of the National Academy of Sciences 114 (50), 13108-13113, 2017 | 313 | 2017 |
| Hierarchical semantic indexing for large scale image retrieval J Deng, AC Berg, L Fei-Fei CVPR 2011, 785-792, 2011 | 273 | 2011 |
| Learning to detect human-object interactions YW Chao, Y Liu, X Liu, H Zeng, J Deng 2018 ieee winter conference on applications of computer vision (wacv), 381-389, 2018 | 263 | 2018 |
| Crowdsourcing annotations for visual object detection H Su, J Deng, L Fei-Fei Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 261 | 2012 |
| Fast and balanced: Efficient label tree learning for large scale object recognition J Deng, S Satheesh, A Berg, F Li Advances in Neural Information Processing Systems 24, 2011 | 230 | 2011 |
| Hico: A benchmark for recognizing human-object interactions in images YW Chao, Z Wang, Y He, J Wang, J Deng Proceedings of the IEEE International Conference on Computer Vision, 1017-1025, 2015 | 223 | 2015 |
| 2009 IEEE conference on computer vision and pattern recognition J Deng, W Dong, R Socher, LJ Li, K Li, L Fei-Fei Ieee, 2009 | 218 | 2009 |
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
