| 3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 3928 | 2015 |
| Unsupervised feature learning via non-parametric instance discrimination Z Wu, Y Xiong, SX Yu, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1622 | 2018 |
| Temporal action detection with structured segment networks Y Zhao, Y Xiong, L Wang, Z Wu, X Tang, D Lin Proceedings of the IEEE International Conference on Computer Vision, 2914-2923, 2017 | 702 | 2017 |
| The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 281 | 2019 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 547-601, 2020 | 93 | 2020 |
| Improving generalization via scalable neighborhood component analysis Z Wu, AA Efros, SX Yu Proceedings of the European Conference on Computer Vision (ECCV), 685-701, 2018 | 86 | 2018 |
| What makes instance discrimination good for transfer learning? N Zhao, Z Wu, RWH Lau, S Lin International Conference on Representation Learning (2021), 2020 | 77 | 2020 |
| A transductive approach for video object segmentation Y Zhang, Z Wu, H Peng, S Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 53 | 2020 |
| Deep metric transfer for label propagation with limited annotated data B Liu, Z Wu, H Hu, S Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 41 | 2019 |
| Instance localization for self-supervised detection pretraining C Yang, Z Wu, B Zhou, S Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 40 | 2021 |
| Deep markov random field for image modeling Z Wu, D Lin, X Tang European Conference on Computer Vision, 295-312, 2016 | 25 | 2016 |
| Cuhk & ethz & siat submission to activitynet challenge 2017 Y Zhao, B Zhang, Z Wu, S Yang, L Zhou, S Yan, L Wang, Y Xiong, D Lin, ... arXiv preprint arXiv:1710.08011 8 (8), 2017 | 24 | 2017 |
| Distilling localization for self-supervised representation learning N Zhao, Z Wu, RWH Lau, S Lin The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 19 | 2020 |
| Aligning Pretraining for Detection via Object-Level Contrastive Learning F Wei, Y Gao, Z Wu, H Hu, S Lin Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 16 | 2021 |
| Adjustable bounded rectifiers: Towards deep binary representations Z Wu, D Lin, X Tang arXiv preprint arXiv:1511.06201, 2015 | 13 | 2015 |
| A gpu implementation of googlenet Z Wu, Y Zhang, F Yu, J Xiao Tech. Rep., Technical report, 6, 2014 | 12 | 2014 |
| Unsupervised 3d learning for shape analysis via multiresolution instance discrimination PS Wang, YQ Yang, QF Zou, Z Wu, Y Liu, X Tong Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2773-2781, 2021 | 11 | 2021 |
| One-shot generative domain adaptation C Yang, Y Shen, Z Zhang, Y Xu, J Zhu, Z Wu, B Zhou arXiv preprint arXiv:2111.09876, 2021 | 4 | 2021 |
| Debiased Learning from Naturally Imbalanced Pseudo-Labels X Wang, Z Wu, L Lian, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| A simple multi-modality transfer learning baseline for sign language translation Y Chen, F Wei, X Sun, Z Wu, S Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
