About Me
I am a final-year undergraduate majoring in Electronic and Information Engineering at The Hong Kong Polytechnic University (PolyU). I am honored to be supervised by Prof. Kenneth Kin-Man Lam and collaborate closely with Dr. Jun Xiao on 3D vision. I am also grateful for the mentorship of Prof. Wenjing Jia at UTS, Sydney, on an international project focused on OCT image processing for medical imaging in 2024.
Since May 2025, I have also been working as a research intern at Sony in Beijing, focusing on 3D reconstruction.
My research interest includes computer vision and 3D reconstruction (e.g., image processing/super-resolution//restoration/enhancement, novel view synthesis). I am also actively learning generative models (e.g., diffusion models).
I am also a photography lover—check out my portfolio here!
🔥 News
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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 leader for our team!
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2025.01: Our paper on enhancing 3D Gaussian splatting for novel view synthesis is submitted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
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2025.01: 🎉🎉 Our paper MFGAN: OCT Image Super-resolution and Enhancement with Blind Degradation and Multi-frame Fusion has been awarded the Best Paper Award at IWAIT 2025.
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2024.12: 🎉🎉 Our paper See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization is accepted by ICASSP 2025.
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2024.12: 🎉🎉 Awarded The Hong Kong Polytechnic University Scholarship among a group of ~20 awardees!
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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.
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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.
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2024.12: 🎉🎉 Our paper A Multi-Perceptual Learning Network for Retina OCT Image Denoising and Classification is presented as an oral presentation at APSIPA 2024.
📝 Publications
A Multi-Perceptual Learning Network for Retina OCT Image Denoising and Classification
Zhe Xiao, Zongqi He, Zhuoning Xu, Wenjing Jia, Kin-Man Lam et al.
APSIPA 2024 (Oral)
MFGAN: OCT Image Super‑resolution and Enhancement with Blind Degradation and Multi‑frame Fusion
Zongqi He, Zhe Xiao, Wenjing Jia, Kin‑Man Lam et al.
IWAIT 2025 (Best Paper Award)
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content
Marcos V Conde, Zhijun Lei, Wen Li, Christos Bampis, Ioannis Katsavounidis, Radu Timofte, Zhe Xiao et al.
ECCV AIM Workshop 2024
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results
Michal Nazarczuk, Sibi Catley‑Chandar, Thomas Tanay, Richard Shaw, Eduardo Pérez‑Pellitero, Radu Timofte, Zhe Xiao et al.
ECCV AIM Workshop 2024
🎖 Honors and Awards
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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: 2nd place in ECCV AIM Workshop 2024 on Efficient Video Super-Resolution for AV1 Compressed Content
- 2024.08: 3rd place in ECCV AIM Workshop 2024 on Sparse Neural Rendering for Track 1 and Track 2
- 2024.10: Dean’s Honours List
- 2024.04: HKSAR Government Scholarship Fund - Talent Development Scholarship
- 2024.04: HKSAR Government Scholarship Fund - Reaching Out Award
- 2024.09: Undergraduate Research and Innovation Scheme Scholarship
- 2024.06: Dunn Wing Tim Memorial Hall Scholarship (the only awardee from the department for academic performance in the academic year)
- 2023.12: 3rd place in Huawei ICT Competition Hong Kong SAR 2023-2024 Final [Computing Track]
- 2023.10: Dean’s Honours List
- 2023.10: Best GPA Award, Best Semester GPA Award, presented by Department of Electronic and Information Engineering
📖 Educations
- 2021.09 - 2025.09, Electronic and Information Engineering, The Hong Kong Polytechnic University
📷 Portfolio
