Research
I'm interested in various weakly supervised learning problems in the context of computer vision, including
completely unlabelled self-supervised learning, semi-supervised learning with partial data having labels, and learning with noisy/coarse labels.
I'm happy to discuss any related topics and possible collaborations, please simply drop me an email!
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LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
Zhonglin Sun, Chen Feng✉, Ioannis Patras, Georgios Tzimiropoulos
CVPR, 2024
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paper
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Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features
Zheng Gao,
Chen Feng,
Ioannis Patras
WACV, 2024
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paper
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MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset
Chen Feng,
Ioannis Patras
CVPR, 2023
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SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng,
Georgios Tzimiropoulos,
Ioannis Patras
BMVC, 2022
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Adaptive Soft Contrastive Learning
Chen Feng,
Ioannis Patras
ICPR, 2022
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Academic service
Conferences: ICML2022(Outstanding Reviewer), CVPR2023-2024, NeurIPS 2022-2023, AAAI2023-2024, ICLR2023-2024, ICCV2023, BMVC2022
Journals: Image and Vision Computing, TPAMI
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