Zhenyu Li (Alex) 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.

Looking for an internship position in 2025 now.

News

Jul. 2024, One paper is accepted to ECCV 2024!
Mar. 2024, One paper is accepted to CVPR 2024!

Experience

Aug.2022 - Apr.2023, Elite Research Intern, DiDi Cargo
Jan.2022 - July.2022, Research Intern, SenseTime
Mar.2021 - Sep.2021, Development and Research Intern, SenseTime

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

	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]
	SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao AAAI, 2022 [PDF] [Code]
	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.