| SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise C Feng, G Tzimiropoulos, I Patras The 33rd British Machine Vision Conference (BMVC), 2022 | 23* | 2022 |
| Adaptive soft contrastive learning C Feng, I Patras 2022 26th International Conference on Pattern Recognition (ICPR), 2721-2727, 2022 | 16 | 2022 |
| MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset C Feng, I Patras Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features Z Gao, C Feng, I Patras Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels C Feng, G Tzimiropoulos, I Patras IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition Z Sun, C Feng, I Patras, G Tzimiropoulos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Cleaning label noise with vision-language models C Feng, I Patras | | |
Ioannis PatrasProfessor, Queen Mary, University of LondonVerified email at eecs.qmul.ac.uk
