Chen FENG (冯晨)

I'm a Postdoctoral Research Associate at University College London, working with Prof. Miguel Rodrigues. I finished my PhD at Queen Mary University of London, working in CV/ML with Prof. Ioannis Patras. I also visited University of Trento as an AI4Media Junior Exchange Fellow, working with Prof. Nicu Sebe.

I earned my master’s degree from Tsinghua University, where I conducted research in bioinformatics under the supervision of Prof. Jin Gu. Before that, I received my bachelor's degree from Nankai University.

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News

2024.7 One paper been accepted to ACM MM'2024!
2024.7 One paper been accepted to IEEE Transactions on Circuits and Systems for Video Technology!
2024.5 I have passed my PhD defence in 10th May! Many thanks to the examiners: Dr. Qianni Zhang and Prof. Tao Xiang.
2024.2 LAFS been accepted to CVPR'2024!
2024.1 I was invited for an open seminar talk in RIKEN AIP.

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!

CLIPCleaner: Cleaning Noisy Labels with CLIP
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
ACMMM, 2024
code / paper
NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
TCSVT, 2024
paper
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
Zhonglin Sun, Chen Feng, Ioannis Patras, Georgios Tzimiropoulos
CVPR, 2024
code / paper
Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features
Zheng Gao, Chen Feng, Ioannis Patras
WACV, 2024
code / paper
MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset
Chen Feng, Ioannis Patras
CVPR, 2023
code / paper / video
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
BMVC, 2022
code / paper
Adaptive Soft Contrastive Learning
Chen Feng, Ioannis Patras
ICPR, 2022
code / paper

Academic service

Conferences: ICML2022(Outstanding Reviewer), CVPR2023-2024, NeurIPS2022-2024, AAAI2023-2024, ICLR2023-2025, ICCV2023, ECCV2024, AISTATS2025, BMVC2022, ACCV2024, ICPR2024

Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing

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