| Dividemix: Learning with noisy labels as semi-supervised learning J Li, R Socher, SCH Hoi arXiv preprint arXiv:2002.07394, 2020 | 493 | 2020 |
| Prototypical contrastive learning of unsupervised representations J Li, P Zhou, C Xiong, SCH Hoi arXiv preprint arXiv:2005.04966, 2020 | 459 | 2020 |
| Align before fuse: Vision and language representation learning with momentum distillation J Li, R Selvaraju, A Gotmare, S Joty, C Xiong, SCH Hoi Advances in neural information processing systems 34, 9694-9705, 2021 | 310 | 2021 |
| Learning to Learn from Noisy Labeled Data J Li, Y Wong, Q Zhao, MS Kankanhalli The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 282 | 2019 |
| Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation J Li, D Li, C Xiong, S Hoi International Conference on Machine Learning, 12888-12900, 2022 | 168 | 2022 |
| Learning to detect human-object interactions with knowledge B Xu, Y Wong, J Li, Q Zhao, MS Kankanhalli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 114 | 2019 |
| Comatch: Semi-supervised learning with contrastive graph regularization J Li, C Xiong, SCH Hoi Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 94 | 2021 |
| Unsupervised Learning of View-invariant Action Representations J Li, Y Wong, Q Zhao, M Kankanhalli Conference on Neural Information Processing Systems (NeurIPS), 2018 | 88 | 2018 |
| Interact as you intend: Intention-driven human-object interaction detection B Xu, J Li, Y Wong, Q Zhao, MS Kankanhalli IEEE Transactions on Multimedia 22 (6), 1423-1432, 2019 | 83 | 2019 |
| The devil is in classification: A simple framework for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 81 | 2020 |
| Facial expression recognition using deep neural networks J Li, EY Lam 2015 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2015 | 77 | 2015 |
| Dual-Glance Model for Deciphering Social Relationships J Li, Y Wong, Q Zhao, MS Kankanhalli The IEEE International Conference on Computer Vision (ICCV), 2650-2659, 2017 | 58 | 2017 |
| Mopro: Webly supervised learning with momentum prototypes J Li, C Xiong, SCH Hoi arXiv preprint arXiv:2009.07995, 2020 | 45 | 2020 |
| Attention transfer from web images for video recognition J Li, Y Wong, Q Zhao, MS Kankanhalli Proceedings of the 25th ACM international conference on multimedia, 1-9, 2017 | 42 | 2017 |
| Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language AA Liu, N Xu, Y Wong, J Li, YT Su, M Kankanhalli Computer Vision and Image Understanding 163, 113-125, 2017 | 34 | 2017 |
| Align and prompt: Video-and-language pre-training with entity prompts D Li, J Li, H Li, JC Niebles, SCH Hoi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Learning from noisy data with robust representation learning J Li, C Xiong, SCH Hoi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
| Improving out-of-distribution generalization via multi-task self-supervised pretraining I Albuquerque, N Naik, J Li, N Keskar, R Socher arXiv preprint arXiv:2003.13525, 2020 | 24 | 2020 |
| Multi-stream deep learning framework for automated presentation assessment J Li, Y Wong, MS Kankanhalli 2016 IEEE International Symposium on Multimedia (ISM), 222-225, 2016 | 22 | 2016 |
| Video storytelling: Textual summaries for events J Li, Y Wong, Q Zhao, MS Kankanhalli IEEE Transactions on Multimedia 22 (2), 554-565, 2019 | 20 | 2019 |
