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ORCIDHao Yu 0010
Person information
- affiliation: Technical University of Munich, Germany
- affiliation: National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
Other persons with the same name
- Hao Yu — disambiguation page
- Hao Yu 0001
![[0000-0001-8747-3203]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8747-3203")
— Southern University of Science and Technology, Shenzhen, China (and 3 more) - Hao Yu 0002 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Hao Yu 0003 — Arctic University of Norway, Department of Industrial Engineering, Narvik, Norway
- Hao Yu 0004 — Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Beijing, China
- Hao Yu 0005 — Fujitsu Research and Development Center, Beijing, China
- Hao Yu 0006 — Jilin Jianzhu University, School of Geomatics and Prospecting Engineering, Changchun, China (and 1 more)
- Hao Yu 0007 — Beihang University, School of Automation Science and Electrical Engineering / Science and Technology on Aircraft Control Laboratory, Beijing, China
- Hao Yu 0008 — IBM T.J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Hao Yu 0009 — University of Mannheim, Germany
- Cody Hao Yu (aka: Hao Yu 0011) — University of California, Los Angeles, USA
- Hao Yu 0012 — China University of Geosciences, Institute of Geophysics and Geomatics, Wuhan, China
- Hao Yu 0013 — University of Oulu, Center of Wireless Communications, Finland (and 1 more)
- Hao Yu 0014 — Boston University, MA, USA
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2020 – today
- 2024
[j3]Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3796-3812 (2024)- [c13]Junwen Huang, Hao Yu, Kuan-Ting Yu, Nassir Navab, Slobodan Ilic, Benjamin Busam:
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images. CVPR 2024: 10095-10105 - [i14]Junwen Huang, Hao Yu, Kuan-Ting Yu, Nassir Navab, Slobodan Ilic, Benjamin Busam:
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images. CoRR abs/2403.01517 (2024) - 2023
- [b1]Hao Yu:
Correspondence Estimation through Descriptor Learning for Point Cloud Registration. Technical University of Munich, Germany, 2023 - [j2]Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu:
GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9806-9821 (2023) - [c12]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CVPR 2023: 5384-5393 - [c11]Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu:
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration. CVPR 2023: 5394-5403 - [c10]Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari:
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction. ICCV 2023: 14848-14858 - [c9]Fu Li, Shishir Reddy Vutukur, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic:
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation. ICCV (Workshops) 2023: 2115-2125 - [c8]Jiayuan Zhuang, Zheng Qin, Hao Yu, Xucan Chen:
Reduced-Resolution Head for Object Detection. PRICAI (3) 2023: 165-176 - [i13]Jiayuan Zhuang, Zheng Qin, Hao Yu, Xucan Chen:
Task-Specific Context Decoupling for Object Detection. CoRR abs/2303.01047 (2023) - [i12]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dong Sheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CoRR abs/2303.08231 (2023) - [i11]Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu:
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration. CoRR abs/2303.09950 (2023) - [i10]Zhigang Kan, Linbo Qiao, Hao Yu, Liwen Peng, Yifu Gao, Dongsheng Li:
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization. CoRR abs/2306.08223 (2023) - [i9]Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu:
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer. CoRR abs/2308.03768 (2023) - [i8]Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari:
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction. CoRR abs/2309.02965 (2023) - 2022
- [c7]Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu:
Geometric Transformer for Fast and Robust Point Cloud Registration. CVPR 2022: 11133-11142 - [i7]Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu:
Geometric Transformer for Fast and Robust Point Cloud Registration. CoRR abs/2202.06688 (2022) - [i6]Fu Li, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic:
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation. CoRR abs/2203.04802 (2022) - [i5]Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. CoRR abs/2209.13252 (2022) - 2021
- [c6]Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic:
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration. NeurIPS 2021: 23872-23884 - [i4]Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic:
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration. CoRR abs/2110.14076 (2021)
2010 – 2019
- 2018
- [j1]Zheng Qin, Zhaoning Zhang, Shiqing Zhang, Hao Yu, Yuxing Peng:
Merging-and-Evolution Networks for Mobile Vision Applications. IEEE Access 6: 31294-31306 (2018) - [c5]Hao Yu, Zhaoning Zhang, Zijie Zhu, Wang Xiong, Gen Zhang:
Nominal Data Similarity: A Hierarchical Measure. IJCNN 2018: 1-7 - [c4]Zheng Qin, Zhaoning Zhang, Shiqing Zhang, Hao Yu, Jincai Li, Yuxing Peng:
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications. IJCNN 2018: 1-8 - [c3]Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu:
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. IJCNN 2018: 1-8 - [i3]Zheng Qin, Zhaoning Zhang, Shiqing Zhang, Hao Yu, Yuxing Peng:
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications. CoRR abs/1803.09127 (2018) - [i2]Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu:
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. CoRR abs/1804.04606 (2018) - 2017
- [c2]Min-ne Li, Zhaoning Zhang, Hao Yu, Xinyuan Chen, Dongsheng Li:
S-OHEM: Stratified Online Hard Example Mining for Object Detection. CCCV (3) 2017: 166-177 - [c1]Hao Wu, Hao Yu, Dongxiang Zhou, Yongqiang Cheng:
Distribution majorization of corner points by reinforcement learning for moving object detection. ICMV 2017: 106960C - [i1]Min-ne Li, Zhaoning Zhang, Hao Yu, Xinyuan Chen, Dongsheng Li:
S-OHEM: Stratified Online Hard Example Mining for Object Detection. CoRR abs/1705.02233 (2017)
Coauthor Index
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