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I am a Master’s student at Tsinghua University, working on computer vision and event-based cameras with Professor Xiangyang Ji. My research focuses on event camera simulation, 3D reconstruction, and optical artifact removal. I am seeking Ph.D. opportunities starting in Fall 2026.

Email: hanhq23@mails.tsinghua.edu.cn

Education

M.S. in Automation, Tsinghua University, Beijing 2023 – 2026 (Expected) Advisor: Prof. Xiangyang Ji

B.Eng. in Robotics, Zhejiang University, Hangzhou 2019 – 2023

Publications

First Author

1. Han H, Lyu J, Li J, et al. Physical-Based Event Camera Simulator. European Conference on Computer Vision (ECCV), 2024: 19-35.

2. Han H, Li J, Wei H, et al. Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting. Advances in Neural Information Processing Systems (NeurIPS), 2024, 37: 128139-128159.

Co-authored

1. Li J, Zhang Y, Han H, Ji X. Active Event-based Stereo Vision. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Experience

Research Intern, CNRS Singapore | 2025 – Present Working on learning-based lens flare removal for event cameras. Developed the first physics-driven simulator for event camera lens flare and proposed Event-DeFlare, a 3D U-Net framework for flare removal.

Intern, Changan Automobile | 2024 – 2025 Investigated dehazing algorithms and developed active sampling techniques for all-in-one image restoration. Studied physical principles of lens flare for improved simulation.