Bo Yang - RankMe

77 papers A* 22A 2Journal 47Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Zihui Zhang, Weisheng Dai, Bing Wang, Bo Li, Bo Yang
2026	A*	`conf`	Single-Stage fMRI-to-3D Reconstruction via Viewpoint-Aware Embedding and Hierarchical Guidance. AAAI Xun Zhang, Weihao Xia, Yulong Liu, Bo Yang, Alessandro Bozzon, Pan Wang
2025	A*	`conf`	FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity. CVPR Jinxi Li, Ziyang Song, Siyuan Zhou, Bo Yang
2025	J	`jnl`	FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity. CoRR Jinxi Li, Ziyang Song, Siyuan Zhou, Bo Yang
2025	A*	`conf`	GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision. ICLR Zihui Zhang, Yafei Yang, Hongtao Wen, Bo Yang
2025	J	`jnl`	GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision. CoRR Zihui Zhang, Yafei Yang, Hongtao Wen, Bo Yang
2025	A*	`conf`	LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds. CVPR Zihui Zhang, Weisheng Dai, Hongtao Wen, Bo Yang
2025	J	`jnl`	LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds. CoRR Zihui Zhang, Weisheng Dai, Hongtao Wen, Bo Yang
2025	J	`jnl`	RayletDF: Raylet Distance Fields for Generalizable 3D Surface Reconstruction from Point Clouds or Gaussians. CoRR Shenxing Wei, Jinxi Li, Yafei Yang, Siyuan Zhou, Bo Yang
2025	J	`jnl`	TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos. CoRR Jinxi Li, Ziyang Song, Bo Yang
2025	A*	`conf`	unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning. ICML Yafei Yang, Zihui Zhang, Bo Yang
2025	J	`jnl`	unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning. CoRR Yafei Yang, Zihui Zhang, Bo Yang
2024	J	`jnl`	A Framework for Graphical GNSS Multipath and NLOS Mitigation. IEEE Trans. Intell. Transp. Syst. Penghui Xu, Guohao Zhang, Yihan Zhong, Bo Yang, Li-Ta Hsu
2024	J	`jnl`	Benchmarking and Analysis of Unsupervised Object Segmentation from Real-World Single Images. Int. J. Comput. Vis. Yafei Yang, Bo Yang
2024	A*	`conf`	Learning to Catch Reactive Objects with a Behavior Predictor. ICRA Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham
2024	A*	`conf`	OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos. ICML Ziyang Song, Jinxi Li, Bo Yang
2024	J	`jnl`	OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos. CoRR Ziyang Song, Jinxi Li, Bo Yang
2024	J	`jnl`	Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency. IEEE Trans. Pattern Anal. Mach. Intell. Ziyang Song, Bo Yang
2023	J	`jnl`	Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images. CoRR Yafei Yang, Bo Yang
2023	A*	`conf`	DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. ICLR Bing Wang, Lu Chen, Bo Yang
2023	A*	`conf`	Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. ICRA Kai Lu, Bo Yang, Bing Wang, Andrew Markham
2023	J	`jnl`	Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. CoRR Kai Lu, Bo Yang, Bing Wang, Andrew Markham
2023	A*	`conf`	GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CVPR Zihui Zhang, Bo Yang, Bing Wang, Bo Li
2023	J	`jnl`	GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CoRR Zihui Zhang, Bo Yang, Bing Wang, Bo Li
2023	A*	`conf`	NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos. NeurIPS Jinxi Li, Ziyang Song, Bo Yang
2023	J	`jnl`	NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos. CoRR Jinxi Li, Ziyang Song, Bo Yang
2023	J	`jnl`	PositionNet: CNN-based GNSS positioning in urban areas with residual maps. Appl. Soft Comput. Penghui Xu, Guohao Zhang, Bo Yang, Li-Ta Hsu
2023	A*	`conf`	RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency. NeurIPS Zhuoman Liu, Bo Yang, Yan Luximon, Ajay Kumar, Jinxi Li
2023	J	`jnl`	RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency. CoRR Zhuoman Liu, Bo Yang
2023	J	`jnl`	SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame Annotations. IEEE Trans. Geosci. Remote. Sens. Junhao Zhao, Weijie Huang, Hai Wu, Chenglu Wen, Bo Yang, Yulan Guo, Cheng Wang
2023	J	`jnl`	You Only Train Once: Learning General and Distinctive 3D Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen
2022	J	`jnl`	DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. CoRR Bing Wang, Lu Chen, Bo Yang
2022	J	`jnl`	Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
2022	A*	`conf`	OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds. NeurIPS Ziyang Song, Bo Yang
2022	J	`jnl`	OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds. CoRR Ziyang Song, Bo Yang
2022	A*	`conf`	Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images. NeurIPS Yafei Yang, Bo Yang
2022	J	`jnl`	Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images. CoRR Yafei Yang, Bo Yang
2022	J	`jnl`	RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham
2022	—	`conf`	SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham
2022	J	`jnl`	SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. CoRR Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
2022	J	`jnl`	SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. Int. J. Comput. Vis. Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
2021	A*	`conf`	GRF: Learning a General Radiance Field for 3D Representation and Rendering. ICCV Alex Trevithick, Bo Yang
2021	J	`jnl`	Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. CoRR Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
2021	A*	`conf`	RadarLoc: Learning to Relocalize in FMCW Radar. ICRA Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni
2021	J	`jnl`	RadarLoc: Learning to Relocalize in FMCW Radar. CoRR Wei Wang, Pedro P. B. de Gusmao, Bo Yang, Andrew Markham, Niki Trigoni
2021	J	`jnl`	SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham
2021	A*	`conf`	SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CVPR Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo
2021	A*	`conf`	Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CVPR Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
2020	J	`jnl`	GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering. CoRR Alex Trevithick, Bo Yang
2020	J	`jnl`	Learning to Reconstruct and Segment 3D Objects. CoRR Bo Yang
2020	—	`—`	Learning to reconstruct and segment 3D objects. Bo Yang
2020	J	`jnl`	PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. CoRR Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni
2020	A*	`conf`	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CVPR Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
2020	J	`jnl`	Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. Int. J. Comput. Vis. Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni
2020	J	`jnl`	SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CoRR Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo
2020	J	`jnl`	Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CoRR Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
2019	A	`conf`	DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. IROS Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
2019	J	`jnl`	DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. CoRR Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
2019	J	`jnl`	Dense 3D Object Reconstruction from a Single Depth View. IEEE Trans. Pattern Anal. Mach. Intell. Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen
2019	A*	`conf`	Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
2019	J	`jnl`	Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
2019	—	`conf`	Learning Semantically Meaningful Embeddings Using Linear Constraints. CVPR Workshops Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark
2019	J	`jnl`	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CoRR Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
2018	J	`jnl`	3D Object Dense Reconstruction from a Single Depth View. CoRR Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen
2018	A*	`conf`	3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. IJCAI Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
2018	J	`jnl`	3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. CoRR Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
2018	J	`jnl`	Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. CoRR Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni
2018	A*	`conf`	DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks. ICRA Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
2018	J	`jnl`	Defo-Net: Learning Body Deformation using Generative Adversarial Networks. CoRR Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
2018	—	`conf`	Learning 3D Scene Semantics and Structure From a Single Depth Image. CVPR Workshops Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni
2017	—	`conf`	3D Object Reconstruction from a Single Depth View with Adversarial Learning. ICCV Workshops Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
2017	J	`jnl`	3D Object Reconstruction from a Single Depth View with Adversarial Learning. CoRR Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
2016	A	`conf`	Updating Wireless Signal Map with Bayesian Compressive Sensing. MSWiM Bo Yang, Suining He, S.-H. Gary Chan
2015	J	`jnl`	A mechanised 3D scanning method for item-level radio frequency identification of palletised products. Comput. Ind. Shiu Hong Choi, Bo Yang, H. H. Cheung
2015	J	`jnl`	Item-level RFID for enhancement of customer shopping experience in apparel retail. Comput. Ind. Shiu Hong Choi, Y. X. Yang, Bo Yang, H. H. Cheung
2015	J	`jnl`	RFID tag data processing in manufacturing for track-and-trace anti-counterfeiting. Comput. Ind. Shiu Hong Choi, Bo Yang, H. H. Cheung, Y. X. Yang
2013	—	`conf`	Data management of RFID-based track-and-trace anti-counterfeiting in apparel supply chain. ICITST Shiu Hong Choi, Bo Yang, H. H. Cheung, Y. X. Yang