Scholar
Zhenyu Li
Google Scholar ID: RYjoFN4AAAAJ
PhD student at KAUST
Citations & Impact
Citations
1,277
H-index
10
i10-index
10
Publications
20
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- - Paper 'Amodal Depth Anything: Amodal Depth Estimation in the Wild' accepted to ICCV 2025
- - Paper 'PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation' accepted to ECCV 2024
- - Paper 'PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation' accepted to CVPR 2024
- - 1st place at VCL 2023 Challenge, Multitask Learning for Robustness Track
- - China National Scholarship 2022
- - 3rd place at SSLAD 2022 Challenge, 3D Object Detection Track
- - 2nd place at Mobile AI&AIM 2022 Challenge, Monocular Depth Estimation Track
- - Codebase: Monocular Depth Estimation Toolbox (2022)
Research Experience
- - Mar. 2021 - Sep. 2021: Development and Research Intern at SenseTime
- - Jan. 2022 - July 2022: Research Intern at SenseTime
- - Aug. 2022 - Apr. 2023: Research Intern (Elite Camp) at DiDi Cargo
- - Jan. 2025 - July 2025: Research Intern (TopSeed Candidate) at ByteDance Seed
Education
- B.E. and M.S. in Computer Science from Harbin Institute of Technology, China; currently pursuing a PhD at KAUST under the supervision of Prof. Peter Wonka.
Background
- A 2nd-year PhD student at KAUST, advised by Prof. Peter Wonka. Research focuses on 3D reconstruction and scene understanding.
Miscellany
- GitHub: https://github.com/zhyever
