| SNAS: stochastic neural architecture search S Xie, H Zheng, C Liu, L Lin arXiv preprint arXiv:1812.09926, 2018 | 836 | 2018 |
| Learning lightweight lane detection cnns by self attention distillation Y Hou, Z Ma, C Liu, CC Loy Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 410 | 2019 |
| Person Re-identification: What Features Are Important? C Liu, S Gong, CC Loy, X Lin | 405* | |
| Person re-identification by manifold ranking CC Loy, C Liu, S Gong 2013 IEEE international conference on image processing, 3567-3571, 2013 | 203 | 2013 |
| Pop: Person re-identification post-rank optimisation C Liu, CC Loy, S Gong, G Wang Proceedings of the IEEE International Conference on Computer Vision, 441-448, 2013 | 185 | 2013 |
| On-the-fly feature importance mining for person re-identification C Liu, S Gong, CC Loy Pattern Recognition 47 (4), 1602-1615, 2014 | 102 | 2014 |
| Dsnas: Direct neural architecture search without parameter retraining S Hu, S Xie, H Zheng, C Liu, J Shi, X Liu, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 97 | 2020 |
| Inter-region affinity distillation for road marking segmentation Y Hou, Z Ma, C Liu, TW Hui, CC Loy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 76 | 2020 |
| Tsit: A simple and versatile framework for image-to-image translation L Jiang, C Zhang, M Huang, C Liu, J Shi, CC Loy Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 65 | 2020 |
| Learning to steer by mimicking features from heterogeneous auxiliary networks Y Hou, Z Ma, C Liu, CC Loy Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8433-8440, 2019 | 55 | 2019 |
| Evaluating feature importance for re-identification C Liu, S Gong, CC Loy, X Lin Person re-identification, 203-228, 2014 | 21 | 2014 |
| Embedding metric learning into set-based face recognition for video surveillance G Wang, F Zheng, C Shi, JH Xue, C Liu, L He Neurocomputing 151, 1500-1506, 2015 | 20 | 2015 |
| Learning a decision module by imitating driver’s control behaviors J Huang, S Xie, J Sun, Q Ma, C Liu, D Lin, B Zhou Conference on Robot Learning, 1-10, 2021 | 15 | 2021 |
| Learning to simulate self-driven particles system with coordinated policy optimization Z Peng, Q Li, KM Hui, C Liu, B Zhou Advances in Neural Information Processing Systems 34, 10784-10797, 2021 | 14 | 2021 |
| Safe driving via expert guided policy optimization Z Peng, Q Li, C Liu, B Zhou Conference on Robot Learning, 1554-1563, 2022 | 13 | 2022 |
| Person re-identification by spatial pyramid color representation and local region matching C Liu, G Wang, X Lin, L Li IEICE TRANSACTIONS on Information and Systems 95 (8), 2154-2157, 2012 | 12 | 2012 |
| High-accuracy sub-pixel registration for noisy images based on phase correlation B He, G Wang, X Lin, C Shi, C Liu IEICE TRANSACTIONS on Information and Systems 94 (12), 2541-2544, 2011 | 11 | 2011 |
| Improving the generalization of end-to-end driving through procedural generation Q Li, Z Peng, Q Zhang, C Liu, B Zhou arXiv preprint arXiv:2012.13681, 2020 | 8 | 2020 |
| NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning S Xie, J Huang, L Lei, C Liu, Z Ma, W Zhang, L Lin arXiv preprint arXiv:1812.09028, 2018 | 7 | 2018 |
| Network pruning via resource reallocation Y Hou, Z Ma, C Liu, Z Wang, CC Loy arXiv preprint arXiv:2103.01847, 2021 | 6 | 2021 |
Chen Change LoyMMLab@NTU, S-Lab, Nanyang Technological University在 ntu.edu.sg 的電子郵件地址已通過驗證
