| 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 | 17028 | 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 | 15311 | 2015 |
| Stacked hourglass networks for human pose estimation A Newell, K Yang, J Deng European conference on computer vision, 483-499, 2016 | 1607 | 2016 |
| 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 | 754 | 2013 |
| 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 | 506 | 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 | 297 | 2014 |
| Cornernet: Detecting objects as paired keypoints H Law, J Deng Proceedings of the European Conference on Computer Vision (ECCV), 734-750, 2018 | 291 | 2018 |
| 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 | 283 | 2013 |
| Associative embedding: End-to-end learning for joint detection and grouping A Newell, Z Huang, J Deng Advances in neural information processing systems, 2277-2287, 2017 | 230 | 2017 |
| Hierarchical semantic indexing for large scale image retrieval J Deng, AC Berg, L Fei-Fei CVPR 2011, 785-792, 2011 | 229 | 2011 |
| Fast and balanced: Efficient label tree learning for large scale object recognition J Deng, S Satheesh, AC Berg, F Li Advances in Neural Information Processing Systems, 567-575, 2011 | 184 | 2011 |
| Crowdsourcing annotations for visual object detection H Su, J Deng, L Fei-Fei Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 165 | 2012 |
| Single-image depth perception in the wild W Chen, Z Fu, D Yang, J Deng Advances in neural information processing systems, 730-738, 2016 | 164 | 2016 |
| Digital bas-relief from 3D scenes T Weyrich, J Deng, C Barnes, S Rusinkiewicz, A Finkelstein ACM transactions on graphics (TOG) 26 (3), 32-es, 2007 | 164 | 2007 |
| 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 | 156 | 2017 |
| Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition J Deng, J Krause, AC Berg, L Fei-Fei 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3450-3457, 2012 | 146 | 2012 |
| Towards scalable dataset construction: An active learning approach B Collins, J Deng, K Li, L Fei-Fei European conference on computer vision, 86-98, 2008 | 137 | 2008 |
| 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 | 128 | 2018 |
| 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 | 101 | 2015 |
| Learning features and parts for fine-grained recognition J Krause, T Gebru, J Deng, LJ Li, L Fei-Fei 2014 22nd International Conference on Pattern Recognition, 26-33, 2014 | 101 | 2014 |
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
