Scholar
Tianwen Zhou
Google Scholar ID: Km1ZrkYAAAAJ
Master of Science, University College London.
Citations & Impact
Citations
3
H-index
1
i10-index
0
Publications
2
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- 2025, Best Paper Nomination, ICME2025 (Top 1%)
- 2024, Distinguished Graduates (Top 5%)
- 2024, Distinguished Graduate Thesis Award (Top 5%)
- 2022-2023, First-Class Academic Scholarship (Top 10%)
- 2022-2023, First-Class Reward-based Scholarship (Top 10%)
- 2021-2022, 2022-2023, Outstanding Student (Top 10%)
- Publication: Editing Physiological Signals in Videos Using Latent Representations
- Publication: ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing (ICME 2025, CCF-B, Core A, Oral, Best Paper Nomination)
- Publication: Difflare: Removing Image Lens Flare with Latent Diffusion Models (BMVC 2024, Core A)
Research Experience
- 2025.09 - Present, AI Researcher, Huawei Technologies Co. Ltd.
- 2024.05 - 2024.12, Visiting Student in Medical AI, X Lab, Yale Institute for Global Health, Yale University
- 2023.08 - 2025.05, Intern Researcher in Computer Vision, AI Lab, Research and Development Center, Sony (China)
- 2023.10 - 2024.10, Visiting Student in Low-level Vision and Multi-modal Learning, Yu Vision (YUV) Group, Great Bay University, China
- 2023.07 - 2023.08, Visiting Student in NeRF & 3D Reconstruction, AIR Lab, Tsinghua University, China
- 2023.05 - 2023.08, Data Product Intern, Bytedance
- 2023.01 - 2023.04, Data Operation Intern, Didichuxing
- 2022.11 - 2023.06, Research Assistant in Infrared Imaging, Intelligent Media Computer Laboratory, Beijing Normal University
Background
- His research interest includes computer vision and multi-modal learning. He is currently working on computational imaging, low-level vision tasks, as well as medical AI.
Miscellany
- Personal interests and hobbies are not detailed on the webpage. In terms of academic services, he is a member of the Chinese Congress on Image and Graphics, IEEE student member, IEEE Signal Processing Society (SPS) member, British Machine Vision Association (BMVA) member, and serves as a reviewer for several international conferences.
