Hi, I’m Zongqi He, received Bachelor’s degree from Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. I am very fortunate to be advised by Prof. Kenneth K. M. Lam.
My research interest includes computer vision, deep learning , low-level vision and 3D reconstruction.
Here is my CV.
🔥 News
- 2025.09: 🎉🎉 Our paper is submitted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
- 2025.09: 🎉🎉 Our team has submitted one papers to IEEE VR 2026, where I contributed as first author.
- 2025.09: 🎉🎉 I have been a RA at University of Hong Kong.
- 2025.08: 🎉🎉 Our team has submitted one papers to IEEE TMI.
- 2025.03: 🎉🎉 Our team ranked among the top in three NTIRE 2025 Challenges.
🚧 Ongoing Projects
- Gaussian Avatar: Developing a dynamic avatar system using 3D Gaussian Splatting to enable expressive and real-time human rendering.
- Novel View Synthesis: Enhancing Sparse-view Gaussian Splatting with Multi-view Consistent Diffusion for 360° Novel View Synthesis from Unposed Viewpoints.
📝 Publications
ICASSP 2025
Zongqi He, Zhe Xiao, Kin-Chung Chan, Yushen Zuo, Jun Xiao, Kin-Man Lam.
AI4VA@ECCV 2024
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
Yushen Zuo, Jun Xiao, Kin-Chung Chan, Rongkang Dong, Cuixin Yang, Zongqi He, Hao Xie, Kin-Man Lam
🎖 Honors and Awards
- 2025.03 NTIRE 2025 Challenge on Night Photography Rendering - 5th place.
- 2025.03 NTIRE 2025 Challenge on Ambient Light Normalization - 6th place.
- 2025.03 NTIRE 2025 Challenge on Restore Any Image Model (RAIM) in the Wild - Track 1 - 3rd place.
- 2024.08 AIM 2024 Challenge on Sparse Neural Rendering - Track 1 - 3 views - 3rd place.
- 2024.08 AIM 2024 Challenge on Sparse Neural Rendering - Track 2 - 9 views - 3rd place.
- 2024.08 AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content - 2nd place.
- 2022-2024 Dean’s Honours List (two years)
- 2023 HKSAR Government Talent Development Scholarship
💻 Project Experience
- UV prediction using GNN
- I am working as a student assistant under Prof. Mengying Li, focusing on UV index prediction around Hong Kong using Graph Neural Networks (GNNs).
- Enhancing Sparse-view 3D Gaussian Splatting
- We proposed a novel 3D Gaussian Splatting method, SIDGaussian, for novel view synthesis under extremely sparse input conditions. We designed a semantic regularization and local depth regularization.
- 📝 This work has been accepted by ICASSP 2025.
- After that, we explored the potential of leveraging diffusion models to enhance sparse-view 3DGS.
- Our paper has been submitted to ACM MM 2025.
- We proposed a novel 3D Gaussian Splatting method, SIDGaussian, for novel view synthesis under extremely sparse input conditions. We designed a semantic regularization and local depth regularization.
- Medical Image Analysis
- Built a novel visual odometry pipeline for colonoscopic navigation, achieving robust depth and pose estimation under illumination shifts.
- Our paper has been submitted to ACM MM 2025.
- Built a novel visual odometry pipeline for colonoscopic navigation, achieving robust depth and pose estimation under illumination shifts.
- Retina OCT Image Denoising and Classification
- Proposed the FD Loss into the GAN architecture, which helps preserve the structural integrity of OCT images
during denoising.
- 📝 This work has been accepted by APSIPA 2024.
- Proposed the FD Loss into the GAN architecture, which helps preserve the structural integrity of OCT images
during denoising.
📖 Educations
- 2021.09 - 2025.06 (now), The Hong Kong Polytechnic University.
💻 Internships
- 2022.06 - 2022.08, Plaper (HK) Limited, Hong Kong.