| Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models J Li, D Li, S Savarese, S Hoi International conference on machine learning, 19730-19742, 2023 | 2497 | 2023 |
| 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 | 2487 | 2022 |
| Deep learning for person re-identification: A survey and outlook M Ye, J Shen, G Lin, T Xiang, L Shao, SCH Hoi IEEE transactions on pattern analysis and machine intelligence 44 (6), 2872-2893, 2021 | 1638 | 2021 |
| Deep learning for image super-resolution: A survey Z Wang, J Chen, SCH Hoi IEEE transactions on pattern analysis and machine intelligence 43 (10), 3365 …, 2020 | 1620 | 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 | 1492 | 2021 |
| Deep learning for content-based image retrieval: A comprehensive study J Wan, D Wang, SCH Hoi, P Wu, J Zhu, Y Zhang, J Li Proceedings of the 22nd ACM international conference on Multimedia, 157-166, 2014 | 1121 | 2014 |
| Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation Y Wang, W Wang, S Joty, SCH Hoi arXiv preprint arXiv:2109.00859, 2021 | 1055 | 2021 |
| Dividemix: Learning with noisy labels as semi-supervised learning J Li, R Socher, SCH Hoi arXiv preprint arXiv:2002.07394, 2020 | 1037 | 2020 |
| Prototypical contrastive learning of unsupervised representations J Li, P Zhou, C Xiong, SCH Hoi arXiv preprint arXiv:2005.04966, 2020 | 968 | 2020 |
| Recent advances in deep learning for object detection X Wu, D Sahoo, SCH Hoi Neurocomputing 396, 39-64, 2020 | 915 | 2020 |
| Face detection using deep learning: An improved faster RCNN approach X Sun, P Wu, SCH Hoi Neurocomputing 299, 42-50, 2018 | 724 | 2018 |
| Online learning: A comprehensive survey SCH Hoi, D Sahoo, J Lu, P Zhao Neurocomputing 459, 249-289, 2021 | 713 | 2021 |
| AR-miner: mining informative reviews for developers from mobile app marketplace N Chen, J Lin, SCH Hoi, X Xiao, B Zhang Proceedings of the 36th international conference on software engineering …, 2014 | 669 | 2014 |
| Batch mode active learning and its application to medical image classification SCH Hoi, R Jin, J Zhu, MR Lyu Proceedings of the 23rd international conference on Machine learning, 417-424, 2006 | 583 | 2006 |
| Salient object detection with pyramid attention and salient edges W Wang, S Zhao, J Shen, SCH Hoi, A Borji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 546 | 2019 |
| Reliable patch trackers: Robust visual tracking by exploiting reliable patches Y Li, J Zhu, SCH Hoi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 432 | 2015 |
| Malicious URL detection using machine learning: A survey D Sahoo, C Liu, SCH Hoi arXiv preprint arXiv:1701.07179, 2017 | 429 | 2017 |
| Learning distance metrics with contextual constraints for image retrieval SCH Hoi, W Liu, MR Lyu, WY Ma 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 416 | 2006 |
| Semisupervised SVM batch mode active learning with applications to image retrieval SCH Hoi, R Jin, J Zhu, MR Lyu ACM Transactions on Information Systems (TOIS) 27 (3), 1-29, 2009 | 415 | 2009 |
| Dynamic fusion with intra-and inter-modality attention flow for visual question answering P Gao, Z Jiang, H You, P Lu, SCH Hoi, X Wang, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 397* | 2019 |
