| Correlation Congruence for Knowledge Distillation B Peng, X Jin, J Liu, S Zhou, Y Wu, Y Liu, D Li, Z Zhang ICCV 2019, 2019 | 665 | 2019 |
| Gradient Harmonized Single-stage Detector B Li, Y Liu, X Wang AAAI 2019, 2018 | 639 | 2018 |
| Poi: Multiple object tracking with high performance detection and appearance feature F Yu, W Li, Q Li, Y Liu, X Shi, J Yan ECCV 2016, 36-42, 2016 | 591 | 2016 |
| Measuring human perceptions of a large-scale urban region using machine learning F Zhang, B Zhou, L Liu, Y Liu, HH Fung, H Lin, C Ratti Landscape and Urban Planning 180, 148-160, 2018 | 587 | 2018 |
| Revisiting the Sibling Head in Object Detector G Song, Y Liu, X Wang CVPR 2020, 2020 | 511 | 2020 |
| Talking Face Generation by Adversarially Disentangled Audio-Visual Representation H Zhou, Y Liu, Z Liu, P Luo, X Wang AAAI 2019, 2018 | 490 | 2018 |
| Uniformer: Unifying convolution and self-attention for visual recognition K Li, Y Wang, J Zhang, P Gao, G Song, Y Liu, H Li, Y Qiao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 437 | 2023 |
| Detrs with collaborative hybrid assignments training Z Zong, G Song, Y Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 405 | 2023 |
| Quality Aware Network for Set to Set Recognition Y Liu, J Yan, W Ouyang CVPR 2017, 2017 | 391 | 2017 |
| Uniformer: Unified transformer for efficient spatiotemporal representation learning K Li, Y Wang, P Gao, G Song, Y Liu, H Li, Y Qiao arXiv preprint arXiv:2201.04676, 2022 | 339 | 2022 |
| Deep learning for instance retrieval: A survey W Chen, Y Liu, W Wang, EM Bakker, T Georgiou, P Fieguth, L Liu, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7270-7292, 2022 | 283 | 2022 |
| Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer H Shao, LT Wang, RB Chen, H Li, Y Liu CoRL 2022, 2022 | 237 | 2022 |
| Knowledge Distillation via Route Constrained Optimization X Jin, B Peng, Y Wu, Y Liu, J Liu, D Liang, J Yan ICCV 2019, 2019 | 218 | 2019 |
| Rethinking Feature Discrimination and Polymerization for Large-scale Recognition Y Liu, H Li, X Wang NIPS 2017 (deep learning workshop), 2017 | 214* | 2017 |
| Hyperparameter optimization for tracking with continuous deep q-learning X Dong, J Shen, W Wang, Y Liu, L Shao, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 198 | 2018 |
| Actor-context-actor relation network for spatio-temporal action localization J Pan, S Chen, MZ Shou, Y Liu, J Shao, H Li CVPR 2021, 464-474, 2021 | 197 | 2021 |
| Region-based Quality Estimation Network for Large-scale Person Re-identification G Song, B Leng, Y Liu, C Hetang, S Cai AAAI 2018, 2017 | 186 | 2017 |
| Exploring Disentangled Feature Representation Beyond Face Identification Y Liu, F Wei, J Shao, L Sheng, J Yan, X Wang CVPR 2018, 2018 | 185 | 2018 |
| A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision T Georgiou, Y Liu, W Chen, M Lew International Journal of Multimedia Information Retrieval 9, 135-170, 2020 | 180 | 2020 |
| Learning a recurrent residual fusion network for multimodal matching Y Liu, Y Guo, EM Bakker, MS Lew Proceedings of the IEEE international conference on computer vision, 4107-4116, 2017 | 180 | 2017 |
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
