| 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 | 1701 | 2015 |
| 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 | 807 | 2014 |
| 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 | 633 | 2016 |
| 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 | 591 | 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 | 488 | 2014 |
| Runtime Neural Pruning J Lin, Y Rao, J Lu, J Zhou Advances in Neural Information Processing Systems, 2181-2191, 2017 | 462 | 2017 |
| 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 | 437 | 2013 |
| 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 | 408 | 2015 |
| 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 | 396 | 2018 |
| 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 | 376 | 2016 |
| Deep Transfer Metric Learning J Hu, J Lu, YP Tan IEEE Conference on Computer Vision and Pattern Recognition, 325-333, 2015 | 318 | 2015 |
| Multi-Task CNN Model for Attribute Prediction AH Abdulnabi, G Wang, J Lu, K Jia IEEE Transactions on Multimedia 17 (11), 1949-1959, 2015 | 288 | 2015 |
| Discriminative Deep Metric Learning for Face and Kinship Verification J Lu, J Hu, YP Tan IEEE Transactions on Image Processing 26 (9), 4269-4282, 2017 | 255 | 2017 |
| 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 | 249 | 2020 |
| 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 | 238 | 2021 |
| Single Sample Face Recognition via Learning Deep Supervised Auto-Encoders S Gao, Y Zhang, K Jia, J Lu, Y Zhang IEEE Transactions on Information Forensics and Security 10 (10), 2108-2118, 2015 | 237 | 2015 |
| Densepoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Y Liu, B Fan, G Meng, J Lu, S Xiang, C Pan IEEE International Conference on Computer Vision, 5239-5248, 2019 | 232 | 2019 |
| Multi-Manifold Deep Metric Learning for Image Set Classification J Lu, G Wang, W Deng, P Moulin, J Zhou IEEE Conference on Computer Vision and Pattern Recognition, 1137-1145, 2015 | 225 | 2015 |
| Discriminative Multimetric Learning for Kinship Verification H Yan, J Lu, W Deng, X Zhou IEEE Transactions on Information Forensics and Security 9 (7), 1169-1178, 2014 | 223 | 2014 |
| Deep Adversarial Metric Learning Y Duan, W Zheng, X Lin, J Lu, J Zhou IEEE Conference on Computer Vision and Pattern Recognition, 2780-2789, 2018 | 221 | 2018 |
