About me

I am an M.S. student in Electrical and Computer Engineering at Carnegie Mellon University. I received my B.Eng. in Electronic and Information Engineering from The Hong Kong Polytechnic University. I collaborate closely with Dr. Jun Xiao and was supervised by Prof. Kenneth Kin-Man Lam on 3D vision. I am also grateful for the mentorship of Prof. Wenjing Jia at University of Technology Sydney, Sydney.

From March to August 2026, I was an algorithm intern with the Wan team at Tongyi Lab, Alibaba Group, working on multimodal generative models for image, video, and audio generation.

From May 2025 to Dec 2025, I worked as a research intern at Sony Research, focusing on generative 3D vision.

My research interests focus on image and video generation and 3D computer vision.

I am also a photography lover — check out my portfolio here!

News

  • 2026.09: Submitted a first-author paper to ICLR 2027.
  • 2026.08: Completed my algorithm internship at Alibaba Tongyi Lab.
  • 2025.12: Completed my research internship at Sony Research, with a first-author paper under review at KBS.

  • 2025.04: 3rd place in NTIRE 2025 Challenge on Restore Any Image Model (RAIM) in the Wild (Track 1) at CVPR 2025. Honored to be the project lead for our team!

Publications

ICASSP 2025
Overview of See In Detail: sparse-view 3D Gaussian splatting

See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization

Zongqi He*, Zhe Xiao*, Kin-Chung Chan, Yushen Zuo, Jun Xiao, Kin-Man Lam

*Equal Contribution

ICASSP 2025

paper code

Honors & awards

  • 2025.04: 3rd place in NTIRE 2025 Challenge on Restore Any Image Model (RAIM) in the Wild (Track 1) at CVPR 2025, project lead.

  • 2024.12: The Hong Kong Polytechnic University Scholarship (Around 20 awardees university wise for outstanding achievements)

  • 2024.08: 2nd place in AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content at ECCV 2024

  • 2024.08: 3rd place in AIM 2024 Challenge on Sparse Neural Rendering for Track 1 and Track 2 at ECCV 2024
  • 2024.04: HKSAR Government Scholarship Fund - Talent Development Scholarship
  • 2024.09: Undergraduate Research and Innovation Scheme Scholarship

Projects

Smart Medicine Box
Smart Medicine Box prototype

Smart Medicine Box
Developed Jan. 2024 – Feb. 2024

Built an end-to-end digital medication management prototype integrating hardware sensors, computer vision, and a user interface. Deployed YOLOv5-based pill detection on Raspberry Pi to support automated medication retrieval workflows in clinics, reducing manual handling.

demo details

Experience

  • 2026.03 – 2026.08 Algorithm Intern, Wan Team, Alibaba Tongyi Lab, Hangzhou, China.
  • 2025.05 – 2025.12 Research Intern, Sony Research, Research & Development Center, Beijing, China.
  • 2025.02 – 2025.04 Student Assistant, The Hong Kong Polytechnic University.

Education

  • 2026.08 – 2028.05 M.S. in Electrical and Computer Engineering, Carnegie Mellon University.
  • 2021.09 – 2025.06 B.Eng. in Electronic and Information Engineering, The Hong Kong Polytechnic University, with First Class Honours and Dean’s Honours List.

Photography

Portfolio Entry