Cross-domain Few-shot Learning with Task-specific Adapters WH Li, X Liu, H Bilen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 131 | 2022 |
Universal representation learning from multiple domains for few-shot classification WH Li, X Liu, H Bilen IEEE/CVF International Conference on Computer Vision (ICCV), 9526-9535, 2021 | 97 | 2021 |
Knowledge distillation for multi-task learning WH Li, H Bilen Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 63 | 2020 |
Mini-net: Multiple instance ranking network for video highlight detection FT Hong, X Huang, WH Li, WS Zheng European Conference on Computer Vision (ECCV), 345-360, 2020 | 62 | 2020 |
A Delaunay-based temporal coding model for micro-expression recognition Z Lu, Z Luo, H Zheng, J Chen, W Li Computer Vision-ACCV 2014 Workshops: Singapore, Singapore, November 1-2 …, 2015 | 56 | 2015 |
Learning Multiple Dense Prediction Tasks from Partially Annotated Data WH Li, X Liu, H Bilen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 35 | 2022 |
Large-scale visible watermark detection and removal with deep convolutional networks D Cheng, X Li, WH Li, C Lu, F Li, H Zhao, WS Zheng Chinese conference on pattern recognition and computer vision (PRCV), 27-40, 2018 | 35 | 2018 |
Towards photo-realistic visible watermark removal with conditional generative adversarial networks X Li, C Lu, D Cheng, WH Li, M Cao, B Liu, J Ma, WS Zheng Image and Graphics: 10th International Conference, ICIG 2019, Beijing, China …, 2019 | 30 | 2019 |
Learning to learn relation for important people detection in still images WH Li, FT Hong, WS Zheng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5003-5011, 2019 | 28 | 2019 |
One-pass person re-identification by sketch online discriminant analysis WH Li, Z Zhong, WS Zheng Pattern Recognition 93, 237-250, 2019 | 26 | 2019 |
Universal representations: A unified look at multiple task and domain learning WH Li, X Liu, H Bilen International Journal of Computer Vision (IJCV), 2023 | 21 | 2023 |
Learning to detect important people in unlabelled images for semi-supervised important people detection FT Hong, WH Li, WS Zheng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4146-4154, 2020 | 16 | 2020 |
Personrank: Detecting important people in images WH Li, B Li, WS Zheng IEEE International Conference on Automatic Face & Gesture Recognition (FG …, 2018 | 16 | 2018 |
Learning to impute: A general framework for semi-supervised learning WH Li, CS Foo, H Bilen arXiv preprint arXiv:1912.10364, 2019 | 9 | 2019 |
Correlation based identity filter: An efficient framework for person search WH Li, Y Mao, A Wu, WS Zheng Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017 | 5 | 2017 |
Sketch metric learning Y Mai, W Li, Y Tang, X Bi, WS Zheng 2016 International Joint Conference on Neural Networks (IJCNN), 2439-2446, 2016 | 1 | 2016 |
Multi-task Learning with 3D-Aware Regularization WH Li, S McDonagh, A Leonardis, H Bilen International Conference on Learning Representations (ICLR), 2024 | | 2024 |
Learning universal representations across tasks and domains WH Li The University of Edinburgh, 2022 | | 2022 |
Learning Relation Models to Detect Important People in Still Images YK Qiu, FT Hong, WH Li, WS Zheng IEEE Transactions on Multimedia 25, 6601-6615, 2022 | | 2022 |
Supplementary Material: Cross-domain Few-shot Learning with Task-specific Adapters WH Li, X Liu, H Bilen | | |