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Zhenyu Li's Homepage
Zhenyu Li 李震宇Phd StudentKing Abdullah University of Science and Technology Email: zhenyu.li.9955@gmail.com; Github: https://github.com/zhyever Google Scholar: Google Scholar Link CV: CV Link |
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Biography
I'm a 3rd-year PhD student at King Abdullah University of Science and Technology (KAUST), advised by Prof. Peter Wonka.
I got my B.E. and M.S degrees in computer science at Harbin Institute of Technology, China.
My research currently concentrates on 3D reconstruction and scene understanding.
News
- August 2025, I started my internship at Meta Reality Labs, Zurich, Switzerland!
- June 2025, Amodal-DepthAnything is accepted to ICCV 2025!
- July 2024, PatchRefiner is accepted to ECCV 2024!
- March 2024, PatchFusion is accepted to CVPR 2024!
Experience
- Mar.2021 - Sep.2021, Development and Research Intern, SenseTime
- Jan.2022 - July.2022, Research Intern, SenseTime
- Aug.2022 - Apr.2023, Research Intern (Elite Camp), DiDi Cargo
- Jan.2025 - July.2025, Research Intern (TopSeed Candidate), ByteDance Seed
- Aug.2025 - Now, Research Intern, Meta Reality Labs
Awards
- 1st place at VCL 2023 Challenge, Multitask Learning for Robustness Track! (ICCV 2023 Workshop)
- China National Scholarship 2022.
- 3rd place at SSLAD 2022 Challenge, 3D Object Detection Track! (ECCV 2022 Workshop)
- 2nd place at Mobile AI&AIM 2022 Challenge, Monocular Depth Estimation Track! (ECCV 2022 Workshop)
Codebase
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Monocular Depth Estimation Toolbox Zhenyu Li 2022 [Code] [Bibtex] 
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@misc{lidepthtoolbox2022,
title={Monocular Depth Estimation Toolbox}, author={Zhenyu Li}, howpublished = {\url{https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox}}, year={2022} } |
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Selected Publications
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Depth Anything 3: Recovering the Visual Space from Any Views Haotong Lin, Sili Chen, Hao Liew Jun, Y. Chen Donny, Zhenyu Li, Guang Shi, Jiashi Feng, Bingyi Kang Arxiv, 2025 [Project Page] [PDF] [Code] 
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Amodal Depth Anything: Amodal Depth Estimation in the Wild Zhenyu Li, Mykola Lavreniuk, Shariq Farooq Bhat, Peter Wonka ICCV, 2025 [Project Page] [PDF] [Code] |
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PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation Zhenyu Li, Shariq Farooq Bhat, Peter Wonka ECCV, 2024 [PDF] [Code] |
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PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation Zhenyu Li, Shariq Farooq Bhat, Peter Wonka CVPR, 2024 [Project Page] [PDF] [Code] 
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AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao ECCV, 2022 [PDF] [Code] |
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BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang Ranked 1st on KITTI depth estimation benchmark (Feb, 2022). Transactions on Image Processing [PDF] [Code]
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Service
- Conference Reviewer: CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH.