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I am currently a second-year Ph.D. student in Computer Science and Technology at the University of Cambridge, under the supervision of Prof. Rafal Mantiuk. I recently obtained my Bachelor of Engineering degree from Fudan University in 2023. In 2022, I had the opportunity to work as a research assistant at Stanford University - SVL , advised by Prof. Jiajun Wu and Prof. Yunzhu Li. Prior to that, I served as a research assistant at Fudan University from 2021 to 2023, under the guidance of Prof. Tao Chen.

I am highly interested in the fields of computer vision, robotics, and computer graphics. Specifically, throughout my doctoral studies, I intend to concentrate on the realm of Display Image Quality Assessment. My objective is to integrate insights from the human visual system with cutting-edge machine learning techniques, thereby establishing robust computational models for the evaluation of display image and video quality.

Email: yc613 [at] cam [dot] ac [dot] uk & cycxueshu [at] 163 [dot] com
Wechat: cyc13700232963
OpenReview / GitHub / 知乎Zhihu /


News



Education


University of Cambridge
Department of Computer Science and Technology
Ph.D. Student

October 2023 - Present

Stanford University
Computer Science Department
Non-degree Undergraduate Student
On-site Research Intern (UVRI Intern)

January 2022 - June 2023

Fudan University
Intelligent Science and Technology (excellent class)
Undergraduate Student
GPA: 3.92/4.0; Ranking: 1/245

September 2019 - June 2023



Publications

(* indicates equal contribution)

Yancheng Cai, Fei Yin, Dounia Hammou, Rafał K. Mantiuk
Do computer vision foundation models learn the low-level characteristics of the human visual system?
CVPR 2025, Accepted - Highlight (Top 2% of submissions)
[Arxiv Paper] [Project] [Code] [Results]
Yancheng Cai, Ali Bozorgian, Maliha Ashraf, Robert Wanat, Rafał K. Mantiuk
elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Detection and Modeling Variable Refresh Rate Flicker
SIGGRAPH Asia 2024, Accepted (With Strong Accept)
[Project] [Paper]

Yancheng Cai*, Stephen Tian*, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
Multi-object manipulation via object-centric neural scattering functions
CVPR 2023, Published (With two Strong Accepts)
[Project] [Paper]

Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-free One-Stage Detectors
TIP (IEEE Transactions on Image Processing), Published
[IEEE paper] [知乎]

Jingdong Zhang, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions
TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence), Published
[IEEE paper]

Lei Lu*, Yancheng Cai*, Hua Huang, Ping Wang
An efficient fine-grained vehicle recognition method based on part-level feature optimization
Neurocomputing, Published
[paper]

Research Experience



Selected Award



Academic Service