Yihong Chen

I am a Ph.D. student at CVLAB of EPFL, advised by Prof. Pascal Fua. I obtained my Master's degree in Data Science from Peking University, where I was fortunate to be advised by Prof. Liwei Wang. I also spent some wonderful time as a research intern of Visual Computing Group in Microsoft Research Asia, working with Dr. Han Hu and Yue Cao, Zheng Zhang. Prior to that, I received my B.S. degree in Mathematics from Xiamen University.

My research interests are computer vision, computer graphics and machine learning, especially 3D computer vision, scene understanding and perception tasks.

I am currently looking for internship opportunities for the summer of 2026. If you are interested, feel free to contact me :)

Email / CV / Google Scholar / Github

News

[07/2022] Two papers got accepted by ECCV 2022.
[09/2020] One paper got accepted by NeurIPS 2020.
[02/2020] One paper got accepted by CVPR 2020.

Publication

	PointScatter: Point Set Representation for Tubular Structure Extraction Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang Europe Conference on Computer Vision (ECCV), 2022 code
	Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang Europe Conference on Computer Vision (ECCV), 2022
	RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu Neural Information Processing Systems (NeurIPS), 2020 code
	Memory Enhanced Global-Local Aggregation for Video Object Detection Yihong Chen, Yue Cao, Han Hu, Liwei Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 code

Awards

summa cum laude, Peking University, 2021
National Scholarship, Ministry of Education of China, 2020
summa cum laude, Xiamen University, 2018
Silver Medal, ACM-ICPC Asia Regional, 2017
National Scholarship, Ministry of Education of China, 2016

Website template stolen from Jon Barron.