Doctoral Student
Deheng Zhang
Email: [email protected]
About me:
I will be starting my PhD at the Institute for Computer Science, Artificial Intelligence and Technology (INSAIT). I will be supervised by Prof. Luc Van Gool and Dr. Danda Paudel. I recently finished my MSc at ETH Zurich in Computer Science. My current research interest is an intersection between computer vision and computer graphics, and I would like to explore more possibilities to combine deep learning with traditional rendering or 3D vision algorithms.
Education:
- ETH Zurich, September 2021 – May 2024, MSc Computer Science
Major: Visual Computing
Minor: Machine Intelligence
- City University of Hong Kong, September 2017 – June 2021, BSc Computer Science
AI Stream
Publications:
RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering, International Conference on 3D Vision, accepted 2024
CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields, International Conference on 3D Vision, accepted 2023
Relevant Experience:
Research Scholar, International Max Plank Research School for Intelligence System, Tuebingen, September 2024 – March 2025
Master Thesis, Vision and Learning Group, ETH Zurich, August 2023 – April 2024
Student Researcher, Disney Research Studio (Zurich), December 2022 – May 2023
2026
Deheng Zhang, Yuqian Fu, Runyi Yang, Yang Miao, Tianwen Qian, Xu Zheng, Guolei Sun, Ajad Chhatkuli, Xuanjing Huang, Yu-Gang Jiang, Luc Van Gool, Danda Pani Paudel
EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
In: The Fourteenth International Conference on Learning Representations (ICLR 2026)
2025
Nedko Savov, Naser Kazemi, Deheng Zhang, Danda Pani Paudel, Xi Wang, Luc Van Gool
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
