Zhenyu Li 李震宇

Phd Student

King 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

Biography

I'm a 2nd-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

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

Awards

1^st place at VCL 2023 Challenge, Multitask Learning for Robustness Track! (ICCV 2023 Workshop)
China National Scholarship 2022.
3^rd place at SSLAD 2022 Challenge, 3D Object Detection Track! (ECCV 2022 Workshop)
2^nd place at Mobile AI&AIM 2022 Challenge, Monocular Depth Estimation Track! (ECCV 2022 Workshop)

Codebase

	Monocular Depth Estimation Toolbox Zhenyu Li 2022 [Code] [Bibtex]
@misc{lidepthtoolbox2022, title={Monocular Depth Estimation Toolbox}, author={Zhenyu Li}, howpublished = {\url{https://github.com/zhyever/Monocular-Depth-Estimation-Toolbox}}, year={2022} }

Selected Publications

	Amodal Depth Anything: Amodal Depth Estimation in the Wild Zhenyu Li, Mykola Lavreniuk, Shariq Farooq Bhat, Peter Wonka ICCV, 2025 [PDF] [Code]
	PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation Zhenyu Li, Shariq Farooq Bhat, Peter Wonka ECCV, 2024 [PDF] [Code]
	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]
	Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang ECCV, 2022 [PDF]
	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]
	AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao IJCAI, 2022 [PDF]
	BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang Ranked 1^st on KITTI depth estimation benchmark (Feb, 2022). Transactions on Image Processing [PDF] [Code]
	DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang Ranked 1^st on KITTI depth estimation benchmark (Nov, 2021). Machine Intelligence Research [PDF] [Code]

Service

Conference Reviewer: CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH.