Chen Feng

According to our database, Chen Feng authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking.

Jiawei Ge, Xintian Zhang, Jiuxin Cao, Bo Liu, Fabian Deuser, Chang Liu, Gong Wenkang, Siyou Li, Juexi Shao, Wenqing Wu, Chen Feng, Ioannis Patras

CoRR, May, 2026

Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis.

Chen Feng, Zhuo Zhi, Zhao Huang, Jia-Wei Ge, Ling Xiao, Nicu Sebe, Georgios Tzimiropoulos, Ioannis Patras

CoRR, March, 2026

Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models.

Reem I. Masoud, Chen Feng, Shunta Asano, Saied Alshahrani, Philip Colin Treleaven, Miguel R. D. Rodrigues

CoRR, February, 2026

Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges.

Chen Feng, Minghe Shen, Ananth Balashankar, Carsten Gerner-Beuerle, Miguel R. D. Rodrigues

CoRR, January, 2026

2025

D³{ETOR}: <i>D</i>ebate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object <i>D</i>etection with Scribble Annotations.

Jiawei Ge, Jiuxin Cao, Xinyi Li, Xuelin Zhu, Chang Liu, Bo Liu, Chen Feng, Ioannis Patras

CoRR, December, 2025

Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework.

Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues

CoRR, March, 2025

TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering.

Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues

Trans. Mach. Learn. Res., 2025

Unveiling Open-set Noise: Theoretical Insights into Label Noise.

Chen Feng, Nicu Sebe, Georgios Tzimiropoulos, Miguel R. D. Rodrigues, Ioannis Patras

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Gen4Track: A Tuning-free Data Augmentation Framework via Self-correcting Diffusion Model for Vision-Language Tracking.

Jiawei Ge, Xinyu Zhang, Jiuxin Cao, Xuelin Zhu, Weijia Liu, Qingqing Gao, Biwei Cao, Kun Wang, Chang Liu, Bo Liu, Chen Feng, Ioannis Patras

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks.

Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

NoiseBox: Toward More Efficient and Effective Learning With Noisy Labels.

Chen Feng, Georgios Tzimiropoulos, Ioannis Patras

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features.

Zheng Gao, Chen Feng, Ioannis Patras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CLIPCleaner: Cleaning Noisy Labels with CLIP.

Chen Feng, Georgios Tzimiropoulos, Ioannis Patras

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LAFS: Landmark-Based Facial Self-Supervised Learning for Face Recognition.

Zhonglin Sun, Chen Feng, Ioannis Patras, Georgios Tzimiropoulos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset.

Chen Feng, Ioannis Patras

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Adaptive Soft Contrastive Learning.

Chen Feng, Ioannis Patras

Proceedings of the 26th International Conference on Pattern Recognition, 2022

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise.

Chen Feng, Georgios Tzimiropoulos, Ioannis Patras

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

S3: Supervised Self-supervised Learning under Label Noise.

Chen Feng, Georgios Tzimiropoulos, Ioannis Patras

CoRR, 2021