| Person Re-Identification by Camera Correlation Aware Feature Augmentation YC Chen, X Zhu, WS Zheng, J Lai Pattern Analysis and Machine Intelligence 40 (2), 392 - 408, 2018 | 376 | 2018 |
| Delving into deep imbalanced regression Y Yang, K Zha, Y Chen, H Wang, D Katabi International conference on machine learning, 11842-11851, 2021 | 342 | 2021 |
| An enhanced deep feature representation for person re-identification S Wu, YC Chen, X Li, AC Wu, JJ You, WS Zheng 2016 IEEE winter conference on applications of computer vision (WACV), 1-8, 2016 | 323 | 2016 |
| Spatial-temporal graph convolutional network for video-based person re-identification J Yang, WS Zheng, Q Yang, YC Chen, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 242 | 2020 |
| Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals Y Yang, Y Yuan, G Zhang, H Wang, YC Chen, Y Liu, CG Tarolli, ... Nature medicine 28 (10), 2207-2215, 2022 | 182 | 2022 |
| Mirror representation for modeling view-specific transform in person re-identification. YC Chen, WS Zheng, J Lai IJCAI, 3402-3408, 2015 | 146 | 2015 |
| An asymmetric distance model for cross-view feature mapping in person reidentification YC Chen, WS Zheng, JH Lai, PC Yuen IEEE transactions on circuits and systems for video technology 27 (8), 1661-1675, 2016 | 120 | 2016 |
| Representation compensation networks for continual semantic segmentation CB Zhang, JW Xiao, X Liu, YC Chen, MM Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 107 | 2022 |
| Vcnet: A robust approach to blind image inpainting Y Wang, YC Chen, X Tao, J Jia Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 93 | 2020 |
| Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching Y Liang, X Yang, J Lin, H Li, X Xu, Y Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 92 | 2024 |
| Homomorphic latent space interpolation for unpaired image-to-image translation YC Chen, X Xu, Z Tian, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 81 | 2019 |
| Learning to know where to see: A visibility-aware approach for occluded person re-identification J Yang, J Zhang, F Yu, X Jiang, M Zhang, X Sun, YC Chen, WS Zheng Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 79 | 2021 |
| RC-MVSNet: Unsupervised multi-view stereo with neural rendering D Chang, A Božič, T Zhang, Q Yan, Y Chen, S Süsstrunk, M Nießner European conference on computer vision, 665-680, 2022 | 66 | 2022 |
| Image synthesis via semantic composition Y Wang, L Qi, YC Chen, X Zhang, J Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 65 | 2021 |
| DecoupleNet: Decoupled network for domain adaptive semantic segmentation X Lai, Z Tian, X Xu, Y Chen, S Liu, H Zhao, L Wang, J Jia European Conference on Computer Vision, 369-387, 2022 | 57 | 2022 |
| Facelet-bank for fast portrait manipulation YC Chen, H Lin, M Shu, R Li, X Tao, X Shen, Y Ye, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 56 | 2018 |
| Attentive normalization for conditional image generation Y Wang, YC Chen, X Zhang, J Sun, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 49 | 2020 |
| Semantic component decomposition for face attribute manipulation YC Chen, X Shen, Z Lin, X Lu, I Pao, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 46 | 2019 |
| Ref-neus: Ambiguity-reduced neural implicit surface learning for multi-view reconstruction with reflection W Ge, T Hu, H Zhao, S Liu, YC Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 43 | 2023 |
| View Independent Generative Adversarial Network for Novel View Synthesis X Xu, YC Chen, J Jia IEEE Conference on International Conference on Computer Vision, 2019 | 41 | 2019 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKEmail verificata su cse.ust.hk
