| PCANet: A Simple Deep Learning Baseline for Image Classification? TH Chan, K Jia, S Gao, J Lu, Z Zeng, Y Ma IEEE Transactions on Image Processing 24 (12), 5017-5032, 2015 | 2064 | 2015 |
| Dynamicvit: Efficient vision transformers with dynamic token sparsification Y Rao, W Zhao, B Liu, J Lu, J Zhou, CJ Hsieh Advances in neural information processing systems 34, 13937-13949, 2021 | 1176 | 2021 |
| Point-bert: Pre-training 3d point cloud transformers with masked point modeling X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1157 | 2022 |
| Discriminative Deep Metric Learning for Face Verification in the Wild J Hu, J Lu, YP Tan IEEE Conference on Computer Vision and Pattern Recognition, 1875-1882, 2014 | 914 | 2014 |
| Denseclip: Language-guided dense prediction with context-aware prompting Y Rao, W Zhao, G Chen, Y Tang, Z Zhu, G Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 863 | 2022 |
| Pointr: Diverse point cloud completion with geometry-aware transformers X Yu, Y Rao, Z Wang, Z Liu, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 788 | 2021 |
| Global filter networks for image classification Y Rao, W Zhao, Z Zhu, J Lu, J Zhou Advances in neural information processing systems 34, 980-993, 2021 | 782 | 2021 |
| A Siamese Long Short-term Memory Architecture for Human Re-identification RR Varior, B Shuai, J Lu, D Xu, G Wang European Conference on Computer Vision, 135-153, 2016 | 727 | 2016 |
| Runtime Neural Pruning J Lin, Y Rao, J Lu, J Zhou Advances in Neural Information Processing Systems, 2181-2191, 2017 | 682 | 2017 |
| Deep Hashing for Compact Binary Codes Learning VE Liong, J Lu, G Wang, P Moulin, J Zhou IEEE Conference on Computer Vision and Pattern Recognition, 2475-2483, 2015 | 675 | 2015 |
| Neighborhood Repulsed Metric Learning for Kinship Verification J Lu, X Zhou, YP Tan, Y Shang, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (2), 331-345, 2014 | 554 | 2014 |
| Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition Y Tang, Y Tian, J Lu, P Li, J Zhou IEEE Conference on Computer Vision and Pattern Recognition, 5323-5332, 2018 | 520 | 2018 |
| Structure-preserving super resolution with gradient guidance C Ma, Y Rao, Y Cheng, C Chen, J Lu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 510 | 2020 |
| Hornet: Efficient high-order spatial interactions with recursive gated convolutions Y Rao, W Zhao, Y Tang, J Zhou, SN Lim, J Lu Advances in Neural Information Processing Systems 35, 10353-10366, 2022 | 487 | 2022 |
| Tri-perspective view for vision-based 3d semantic occupancy prediction Y Huang, W Zheng, Y Zhang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 481 | 2023 |
| Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person J Lu, YP Tan, G Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (1), 39-51, 2013 | 474 | 2013 |
| COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis Y Tang, D Ding, Y Rao, Y Zheng, D Zhang, L Zhao, J Lu, J Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 459 | 2019 |
| Learning Compact Binary Face Descriptor for Face Recognition J Lu, VE Liong, X Zhou, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (10), 2041 …, 2015 | 458 | 2015 |
| Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks K Lin, J Lu, CS Chen, J Zhou IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 443 | 2016 |
| Counterfactual attention learning for fine-grained visual categorization and re-identification Y Rao, G Chen, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 439 | 2021 |
