Tianwen Zhou (he/him)

Tianwen Zhou (he/him)

Intern researcher in Computer Vision and Deep Learning

🎓 Bio

Tianwen Zhou is a post-graduate student in Department of Computer Science, University College London (UCL). He is currently an intern researcher in AI Lab, Research and Development Center, Sony(China). He is a visiting student in Yale University, working with Prof. Xiaofeng Liu. He is a visiting student in the Great Bay University(GBU), working with Prof. Zitong Yu. He was a research assistant in Intelligent Media Computer Laboratory, Beijing Normal University, working with Prof. Hua Huang.
His research interest includes Deep Learning and Computer Vision. He is currently working on Low-level Vision tasks, Multimodal Learning, as well as Medical AI.
Feel free to get in touch with Tianwen Zhou via tianwenzhou0521[at]gmail.com (preferred) or tianwenzhou0521[at]ieee.org

Note: The one on the top of the picture with tie and glasses is Tianwen Zhou.

📖 Educations

  • 2024.09-2025.09(future), Master’s degree of science in Artificial Intelligence for Sustainable Development, School of Computer Science, University College London(UCL)
  • 2020.09-2024.06, Bachelor’s degree of science in Mathematics and Applied Mathematics, School of Mathematical Science, Beijing Normal University(BNU)

🔥 News

  • [2024.07] One paper is accepted by British Machine Vision Conference (BMVC 2024)!

🎖 Honors and Awards

  • 2024, Distinguished Graduates, (Top 5%)
  • 2024, Distinguished Graduate Thesis Award, (Top 5%)
  • 2024, Awarded the title of Lord by the British Royal Family
  • 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%)

💻 Experiences

  • 2024.05 - Now, Visiting Student in Medical AI, X Lab, Yale Institute for Global Health, Yale University.
  • 2023.08 - Now, Intern Researcher in Computer Vision, AI Lab, Research and Development Center, Sony(China)
  • 2023.10 - Now, 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

📒 Publications

#: equal contribution *: corresponding author

sym

Difflare: Removing Image Lens Flare with Latent Diffusion Models
Tianwen Zhou, Qihao Duan and Zitong Yu*.

BMVC 2024 (Core A) | Paper | Code

  • This work presents a novel paradigm for image lens flare removal.
  • We utilize both the physics prior of lens flare and the prior encapsulated in pre-trained Latent Diffusion Models (LDM).

📪 Academic Services

Congress Member

  • Member of Chinese Congress on Image and Graphics (CCIG)
  • IEEE Student Member
  • Member of British Machine Vision Association (BMVA)

Conference Reviewer

  • British Machine Vision Conference (BMVC) 2024
  • IEEE International Joint Conference on Biometrics (IJCB) 2024

🔬 Invention Patents

  • A method, device, system, and storage medium for image lens flare removal. (一种图像杂散光去除方法、装置、系统和介质)
  • A method, device, equipment and storage medium for generating medical image reports. (一种医学影像报告生成方法、装置、设备和储存介质)

🛫️ Events