Hao Yu

I am a PhD candidate at the Chair for Computer Aided Medical Procedures & Augmented Reality of Technical University of Munich, supervised by PD Dr. Slobodan Ilic and Dr. Benjamin Busam . Before that, I finished my Master and Bachelor study in National University of Defense Technology, China.

I am currently working in the field of 3D computer vision, particularly in geometric descriptors, shape & scene matching, pose estimation, and point cloud registration. Before that, I was active in the ACM International Collegiate Programming Contest (ACM-ICPC), where I was listed as the world final contestant for 2 times (2015 & 2016).

Email / Google Scholar / LinkedIn / Github / CV

Publications

	NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation Fu Li, Shishir Reddy Vutukur, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic International Conference on Computer Vision Wrokshop(ICCVW), 2023 paper / code / bibtex
	Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari International Conference on Computer Vision (ICCV), 2023 paper / code / bibtex
	Rotation-Invariant Transformer for Point Cloud Matching Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic Computer Vision and Pattern Recognition (CVPR), 2023 paper / code / bibtex
	Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu Computer Vision and Pattern Recognition (CVPR), 2023 paper / code / bibtex
	GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 paper / code / bibtex
	Geometric transformer for fast and robust point cloud registration Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu Computer Vision and Pattern Recognition (CVPR), 2022 Oral Presentation paper / code / bibtex / video
	CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic Advances in Neural Information Processing Systems (NeurIPS), 2021 paper / code / bibtex / video / poster

Teaching

Advanced Topics in 3D Computer Vision Summer Semester 2022

Tracking and Detection on Computer Vision Winter Semester 2020/21

Academic Services

Conference Reviewer: NeurIPS'23, CVPR'22 & 23, ECCV'22, ICLR'24

Journal Reviewer: TPAMI, IJCV, Pattern Recognition (PR)