Hao Yu

I am a PhD candidate at the Chair for Computer Aided Medical Procedures & Augmented Reality of Technical University of Munich, supervised of 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).

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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)