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 | 1881 | 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 | 859 | 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 | 683 | 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 | 635 | 2015 |
Runtime Neural Pruning J Lin, Y Rao, J Lu, J Zhou Advances in Neural Information Processing Systems, 2181-2191, 2017 | 565 | 2017 |
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 | 550 | 2021 |
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 | 521 | 2014 |
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 | 509 | 2022 |
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 | 463 | 2013 |
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 | 461 | 2018 |
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 | 443 | 2015 |
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 | 429 | 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 | 418 | 2021 |
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 | 418 | 2016 |
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 | 397 | 2021 |
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 | 366 | 2020 |
Deep Transfer Metric Learning J Hu, J Lu, YP Tan IEEE Conference on Computer Vision and Pattern Recognition, 325-333, 2015 | 343 | 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 | 329 | 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 | 315 | 2019 |
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 | 277 | 2017 |