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

My research interests include 2D/3D computer vision (e.g., image processing/super-resolution//restoration/enhancement, novel view synthesis) and generative modeling (e.g., diffusion models).

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

🔥 News

• 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!

• 2024.12:  🎉🎉 Our paper See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization is accepted by ICASSP 2025.

• 2024.12:  🎉🎉 Awarded The Hong Kong Polytechnic University Scholarship among a group of ~20 awardees!

• 2024.08:  🎉🎉 2nd place in AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content at ECCV 2024 and our method Fast Sequential Motion Diffusion (FSMD) is selected to present in the summary paper.

• 2024.08:  🎉🎉 3rd place in AIM 2024 Challenge on Sparse Neural Rendering for Track 1 and Track 2 at ECCV 2024 and our method ESNeRF is selected to present in the summary paper.

📝 Publications

ICASSP 2025

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 and Awards

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

• 2025.01: Best Paper Award at IWAIT 2025

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

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

• 2024.08: 3^rd 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
• 2024.06: Department of Electrical and Electronic Engineering Scholarship for Hall Residents for achieving the highest GPA in the department in the 2023–24 academic year, PolyU.
• 2023.12: 3^rd place in Huawei ICT Competition Hong Kong 2023 final round on Computing Track
• 2023.10: Best GPA Award, from the Department of Electronic and Information Engineering, PolyU.

🚀 Projects

Smart Medicine Box

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

• 2025.05 - 2025.12, Research Intern, Sony
• 2023.02 – 2024.06, Student Assistant, The Hong Kong Polytechnic University

📖 Educations

• 2021.09 - 2025.09, B.Eng. in Electronic and Information Engineering, The Hong Kong Polytechnic University, with First Class Honours and Dean’s Honours List.
• 2026.01 - 2027.12, M.S. in Electrical and Computer Engineering, Carnegie Mellon University.

📷 Portfolio