Chen FENG (冯晨)

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

Before that, I received my bachelor's degree from Nankai University and my master's degree from Tsinghua University.

Email  /  Scholar  /  Zhihu  /  Linkedin  /  Github

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News

2024.2 LAFS been accepted to CVPR2024!
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!

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, NeurIPS 2022-2023, AAAI2023-2024, ICLR2023-2024, ICCV2023, BMVC2022

Journals: Image and Vision Computing, TPAMI

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