| Learning deep representation for imbalanced classification C Huang, Y Li, C Change Loy, X Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1125 | 2016 |
| Need for Speed: A Benchmark for Higher Frame Rate Object Tracking HK Galoogahi, A Fagg, C Huang, D Ramanan, S Lucey 2017 IEEE International Conference on Computer Vision (ICCV), 1134-1143, 2017 | 456* | 2017 |
| Deep Imbalanced Learning for Face Recognition and Attribute Prediction C Huang, Y Li, CC Loy, X Tang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 | 347 | 2018 |
| Learning Policies for Adaptive Tracking with Deep Feature Cascades C Huang, S Lucey, D Ramanan The IEEE International Conference on Computer Vision (ICCV), 105-114, 2017 | 268 | 2017 |
| Local similarity-aware deep feature embedding C Huang, CC Loy, X Tang Advances in Neural Information Processing Systems, 1262-1270, 2016 | 192 | 2016 |
| Dense Intrinsic Appearance Flow for Human Pose Transfer Y Li, C Huang, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 191 | 2019 |
| Human attribute recognition by deep hierarchical contexts Y Li, C Huang, CC Loy, X Tang European Conference on Computer Vision, 684-700, 2016 | 189 | 2016 |
| Pose guided human video generation C Yang, Z Wang, X Zhu, C Huang, J Shi, D Lin Proceedings of the European Conference on Computer Vision (ECCV), 201-216, 2018 | 145 | 2018 |
| Unsupervised learning of discriminative attributes and visual representations C Huang, C Change Loy, X Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 116 | 2016 |
| Open-Vocabulary DETR with Conditional Matching Y Zang, W Li, K Zhou, C Huang, CC Loy arXiv preprint arXiv:2203.11876, 2022 | 115 | 2022 |
| Head pose estimation based on random forests for multiclass classification C Huang, X Ding, C Fang Pattern Recognition (ICPR), 2010 20th International Conference on, 934-937, 2010 | 107 | 2010 |
| FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation Y Zang, C Huang, CC Loy arXiv preprint arXiv:2102.12867, 2021 | 95 | 2021 |
| Unified Vision and Language Prompt Learning Y Zang, W Li, K Zhou, C Huang, CC Loy arXiv preprint arXiv:2210.07225, 2022 | 93 | 2022 |
| Ensemble Knowledge Transfer for Semantic Segmentation I Nigam, C Huang, D Ramanan IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 | 87 | 2018 |
| An Attention Free Transformer S Zhai, W Talbott, N Srivastava, C Huang, H Goh, R Zhang, J Susskind arXiv preprint arXiv:2105.14103, 2021 | 81 | 2021 |
| Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment C Huang, S Zhai, W Talbott, AM Bautista, SY Sun, C Guestrin, J Susskind International Conference on Machine Learning (ICML), 2019 | 80 | 2019 |
| Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection R Sun, X Zhu, C Wu, C Huang, J Shi, L Ma IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 80 | 2019 |
| Deeply learned rich coding for cross-dataset facial age estimation Z Kuang, C Huang, W Zhang Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 42 | 2015 |
| Discriminative sparse neighbor approximation for imbalanced learning C Huang, CC Loy, X Tang IEEE Transactions on Neural Networks and Learning Systems, 2017 | 32 | 2017 |
| Mask-aware Photorealistic Face Attribute Manipulation R Sun, C Huang, J Shi, L Ma arXiv preprint arXiv:1804.08882, 2018 | 29 | 2018 |
Chen Change LoyMMLab@NTU, S-Lab, Nanyang Technological UniversityVerified email at ntu.edu.sg
