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ORCIDKai Xu 0004
Person information
- affiliation: National University of Defense Technology, Changsha, China
- affiliation: Shenzhen VisuCA Key Lab / SIAT, China
Other persons with the same name
- Kai Xu — disambiguation page
- Kai Xu 0001
![[0000-0003-1690-3370]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1690-3370")
— Shanghai Jiao Tong University, School of Mechanical Engineering, China (and 1 more) - Kai Xu 0002 — University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
- Kai Xu 0003 — University of Nottingham, UK (and 2 more)
- Kai Xu 0005 — Columbia University, Department of Mechanical Engineering
- Kai Xu 0006 — Tsinghua University, Institute of Hydrology and Water Resources, Beijing, China
- Kai Xu 0007 — Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
- Kai Xu 0008 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Kai Xu 0009 — Wuhan University of Science and Technology, College of Urban Construction, China (and 1 more)
- Kai Xu 0010 — Guangdong University of Technology, School of Computer Science and Technology, Guangzhou, China
- Kai Xu 0011 — Nantong University, School of Electronics and Information, China
- Kai Xu 0012 — Faculty of Information Technology, Beijing University of Technology, Beijing, China
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2020 – today
- 2024
[j91]Zeyu Huang, Sisi Dai, Kai Xu, Hao (Richard) Zhang, Hui Huang, Ruizhen Hu:
DINA: Deformable INteraction Analogy. Graph. Model. 133: 101217 (2024)- [j90]Zhirui Gao, Renjiao Yi, Zheng Qin, Yunfan Ye, Chenyang Zhu, Kai Xu:
Learning accurate template matching with differentiable coarse-to-fine correspondence refinement. Comput. Vis. Media 10(2): 309-330 (2024) - [j89]Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches With Vision Transformer. IEEE Trans. Ind. Informatics 20(10): 12041-12050 (2024) - [j88]Guorong Li, Dexiang Hong, Kai Xu, Bineng Zhong, Li Su, Zhenjun Han, Qingming Huang:
Self Supervised Progressive Network for High Performance Video Object Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7671-7684 (2024) - [j87]Hui Tian, Chenyang Zhu, Yifei Shi, Kai Xu:
SuperUDF: Self-Supervised UDF Estimation for Surface Reconstruction. IEEE Trans. Vis. Comput. Graph. 30(9): 5965-5975 (2024) - [c62]Yunfan Ye, Kai Xu, Yuhang Huang, Renjiao Yi, Zhiping Cai:
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection. AAAI 2024: 6675-6683 - [c61]Baoyun Peng, Min Liu, Zhaoning Zhang, Kai Xu, Dongsheng Li:
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment. CVM (2) 2024: 48-69 - [c60]Zhiyuan Yu, Zheng Qin, Lintao Zheng, Kai Xu:
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes. CVPR 2024: 19605-19614 - [c59]Zhiyuan Yu, Qin Zheng, Chenyang Zhu, Kai Xu:
Efficient and Accurate Multi-Instance Point Cloud Registration with Iterative Main Cluster Detection. Eurographics (Short Papers) 2024 - [c58]Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, XuHui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang:
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. ICML 2024 - [c57]Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, Yongjun Wang, Ruizhen Hu, Kai Xu:
Learning Dual-arm Object Rearrangement for Cartesian Robots. ICRA 2024: 7440-7446 - [c56]Wenhao Li, Shishun Zhang, Sisi Dai, Hui Huang, Ruizhen Hu, Xiaohong Chen, Kai Xu:
Synchronized Dual-arm Rearrangement via Cooperative mTSP. ICRA 2024: 9242-9248 - [i92]Yunfan Ye, Kai Xu, Yuhang Huang, Renjiao Yi, Zhiping Cai:
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection. CoRR abs/2401.02032 (2024) - [i91]Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, Yongjun Wang, Ruizhen Hu, Kai Xu:
Learning Dual-arm Object Rearrangement for Cartesian Robots. CoRR abs/2402.13634 (2024) - [i90]Wenhao Li, Shishun Zhang, Sisi Dai, Hui Huang, Ruizhen Hu, Xiaohong Chen, Kai Xu:
Synchronized Dual-arm Rearrangement via Cooperative mTSP. CoRR abs/2403.08191 (2024) - [i89]Hui Tian, Kai Xu:
Surface Reconstruction from Point Clouds via Grid-based Intersection Prediction. CoRR abs/2403.14085 (2024) - [i88]Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, Ruizhen Hu:
InterFusion: Text-Driven Generation of 3D Human-Object Interaction. CoRR abs/2403.15612 (2024) - [i87]Zhiyuan Yu, Zheng Qin, Lintao Zheng, Kai Xu:
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes. CoRR abs/2404.04557 (2024) - [i86]Qijin She, Shishun Zhang, Yunfan Ye, Min Liu, Ruizhen Hu, Kai Xu:
Learning Cross-hand Policies for High-DOF Reaching and Grasping. CoRR abs/2404.09150 (2024) - [i85]Zhinan Yu, Zheng Qin, Yijie Tang, Yongjun Wang, Renjiao Yi, Chenyang Zhu, Kai Xu:
NeRF-Guided Unsupervised Learning of RGB-D Registration. CoRR abs/2405.00507 (2024) - [i84]Yuhang Huang, SHilong Zou, Xinwang Liu, Kai Xu:
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields. CoRR abs/2405.00998 (2024) - [i83]Xuening Zhu, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu:
Relighting Scenes with Object Insertions in Neural Radiance Fields. CoRR abs/2406.14806 (2024) - [i82]Kexiong Yu, Hang Zhao, Yuhang Huang, Renjiao Yi, Kai Xu, Chenyang Zhu:
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems. CoRR abs/2406.19705 (2024) - [i81]Zhirui Gao, Renjiao Yi, Yuhang Huang, Wei Chen, Chenyang Zhu, Kai Xu:
Learning Part-aware 3D Representations by Fusing 2D Gaussians and Superquadrics. CoRR abs/2408.10789 (2024) - [i80]Wenhao Li, Zhiyuan Yu, Qijin She, Zhinan Yu, Yuqing Lan, Chenyang Zhu, Ruizhen Hu, Kai Xu:
LLM-enhanced Scene Graph Learning for Household Rearrangement. CoRR abs/2408.12093 (2024) - [i79]Zhirui Gao, Renjiao Yi, Chenyang Zhu, Ke Zhuang, Wei Chen, Kai Xu:
Generic Objects as Pose Probes for Few-Shot View Synthesis. CoRR abs/2408.16690 (2024) - 2023
- [j86]Zheng Qin, Changjian Wang, Yuxing Peng, Kai Xu:
CasViGE: Learning robust point cloud registration with cascaded visual-geometric encoding. Comput. Aided Geom. Des. 104: 102217 (2023) - [j85]Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang:
On learning the right attention point for feature enhancement. Sci. China Inf. Sci. 66(1) (2023) - [j84]Yao Duan, Renjiao Yi, Yuanming Gao, Kai Xu, Chenyang Zhu:
EFECL: Feature encoding enhancement with contrastive learning for indoor 3D object detection. Comput. Vis. Media 9(4): 875-892 (2023) - [j83]Chenyi Liu, Fei Chen, Lu Deng, Renjiao Yi, Lintao Zheng, Chenyang Zhu, Jia Wang, Kai Xu:
6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features. Comput. Vis. Media 10(1): 61-77 (2023) - [j82]Yifei Shi, Xin Xu, Junhua Xi, Xiaochang Hu, Dewen Hu, Kai Xu:
Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4882-4896 (2023) - [j81]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) - [j80]Yifei Shi, Junhua Xi, Dewen Hu, Zhiping Cai, Kai Xu:
RayMVSNet++: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13666-13682 (2023) - [j79]Yunfan Ye, Renjiao Yi, Zhirui Gao, Zhiping Cai, Kai Xu:
Delving Into Crispness: Guided Label Refinement for Crisp Edge Detection. IEEE Trans. Image Process. 32: 4199-4211 (2023) - [j78]Hang Zhao, Zherong Pan, Yang Yu, Kai Xu:
Learning Physically Realizable Skills for Online Packing of General 3D Shapes. ACM Trans. Graph. 42(5): 165:1-165:21 (2023) - [j77]Yijie Tang, Jiazhao Zhang, Zhinan Yu, He Wang, Kai Xu:
MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction. ACM Trans. Graph. 42(6): 246:1-246:16 (2023) - [j76]Jiazhao Zhang, Yijie Tang, He Wang, Kai Xu:
ASRO-DIO: Active Subspace Random Optimization Based Depth Inertial Odometry. IEEE Trans. Robotics 39(2): 1496-1508 (2023) - [j75]Xinxin Zhang, Yuefeng Xi, Zhentao Huang, Lintao Zheng, Hui Huang, Yueshan Xiong, Kai Xu:
Active hand-eye calibration via online accuracy-driven next-best-view selection. Vis. Comput. 39(1): 381-391 (2023) - [c55]Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu:
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition. AAAI 2023: 488-496 - [c54]Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo:
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration. CVPR 2023: 1255-1264 - [c53]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 - [c52]Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang:
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification. CVPR 2023: 6672-6682 - [c51]Renjiao Yi, Chenyang Zhu, Kai Xu:
Weakly-supervised Single-view Image Relighting. CVPR 2023: 8402-8411 - [c50]Yunfan Ye, Renjiao Yi, Zhirui Gao, Chenyang Zhu, Zhiping Cai, Kai Xu:
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-View Images. CVPR 2023: 8486-8495 - [c49]Jingjia Shi, Shuaifeng Zhi, Kai Xu:
PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View. ICCV 2023: 9343-9352 - [c48]Boyan Wan, Yifei Shi, Kai Xu:
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations. ICCV 2023: 14019-14028 - [c47]Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu:
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds. ICCV 2023: 14082-14092 - [c46]Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Richard Zhang, Hui Huang, Ruizhen Hu:
NIFT: Neural Interaction Field and Template for Object Manipulation. ICRA 2023: 1875-1881 - [i78]Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner:
S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. CoRR abs/2302.03640 (2023) - [i77]Yunfan Ye, Renjiao Yi, Zhirui Gao, Chenyang Zhu, Zhiping Cai, Kai Xu:
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images. CoRR abs/2303.07653 (2023) - [i76]Zhirui Gao, Renjiao Yi, Zheng Qin, Yunfan Ye, Chenyang Zhu, Kai Xu:
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement. CoRR abs/2303.08438 (2023) - [i75]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) - [i74]Boyan Wan, Yifei Shi, Kai Xu:
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations. CoRR abs/2303.10346 (2023) - [i73]Renjiao Yi, Chenyang Zhu, Kai Xu:
Weakly-supervised Single-view Image Relighting. CoRR abs/2303.13852 (2023) - [i72]Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu:
Decoupled Diffusion Models with Explicit Transition Probability. CoRR abs/2306.13720 (2023) - [i71]Yunfan Ye, Renjiao Yi, Zhirui Gao, Zhiping Cai, Kai Xu:
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection. CoRR abs/2306.15172 (2023) - [i70]Hui Tian, Zheng Qin, Renjiao Yi, Chenyang Zhu, Kai Xu:
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction. CoRR abs/2306.15989 (2023) - [i69]Yifei Shi, Junhua Xi, Dewen Hu, Zhiping Cai, Kai Xu:
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo. CoRR abs/2307.10233 (2023) - [i68]Jingjia Shi, Shuaifeng Zhi, Kai Xu:
PlaneRecTR: Unified Query learning for 3D Plane Recovery from a Single View. CoRR abs/2307.13756 (2023) - [i67]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) - [i66]Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu:
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds. CoRR abs/2308.05667 (2023) - [i65]Yijie Tang, Jiazhao Zhang, Zhinan Yu, He Wang, Kai Xu:
MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction. CoRR abs/2308.08741 (2023) - [i64]Hui Tian, Chenyang Zhu, Yifei Shi, Kai Xu:
SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction. CoRR abs/2308.14371 (2023) - [i63]Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu:
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR abs/2310.05712 (2023) - [i62]Hui Tian, Kai Xu:
Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface. CoRR abs/2310.14560 (2023) - 2022
- [j74]Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu:
Learning practically feasible policies for online 3D bin packing. Sci. China Inf. Sci. 65(1) (2022) - [j73]Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, Kai Xu:
ARM3D: Attention-based relation module for indoor 3D object detection. Comput. Vis. Media 8(3): 395-414 (2022) - [j72]Pengdi Huang, Liqiang Lin, Kai Xu, Hui Huang:
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization. IEEE Trans. Intell. Transp. Syst. 23(4): 3682-3695 (2022) - [j71]Jian Liu, Shiqing Xin, Xifeng Gao, Kaihang Gao, Kai Xu, Baoquan Chen, Changhe Tu:
Computational Object-Wrapping Rope Nets. ACM Trans. Graph. 41(1): 6:1-6:16 (2022) - [j70]Qijin She, Ruizhen Hu, Juzhan Xu, Min Liu, Kai Xu, Hui Huang:
Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction. ACM Trans. Graph. 41(4): 97:1-97:14 (2022) - [j69]Yang Yu, Chengjie Niu, Jun Li, Kai Xu:
Multi-view 2D-3D alignment with hybrid bundle adjustment for visual metrology. Vis. Comput. 38(4): 1483-1494 (2022) - [c45]Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao:
Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. AAAI 2022: 7576-7584 - [c44]Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. AAAI 2022: 9109-9117 - [c43]Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu:
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo. CVPR 2022: 8585-8595 - [c42]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 - [c41]Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang:
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CVPR 2022: 11769-11778 - [c40]Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo:
Decoupling Makes Weakly Supervised Local Feature Better. CVPR 2022: 15817-15827 - [c39]Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu:
DisARM: Displacement Aware Relation Module for 3D Detection. CVPR 2022: 16959-16968 - [c38]Hang Zhao, Yang Yu, Kai Xu:
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees. ICLR 2022 - [i61]Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo:
Decoupling Makes Weakly Supervised Local Feature Better. CoRR abs/2201.02861 (2022) - [i60]Yan Liu, Qingyong Hu, Yinjie Lei, Kai Xu, Jonathan Li, Yulan Guo:
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision. CoRR abs/2201.02963 (2022) - [i59]Yunfan Ye, Renjiao Yi, Zhiping Cai, Kai Xu:
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization. CoRR abs/2201.05121 (2022) - [i58]Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang:
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CoRR abs/2201.12763 (2022) - [i57]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) - [i56]Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, Kai Xu:
ARM3D: Attention-based relation module for indoor 3D object detection. CoRR abs/2202.09715 (2022) - [i55]Yuqing Lan, Yao Duan, Yifei Shi, Hui Huang, Kai Xu:
3DRM: Pair-wise relation module for 3D object detection. CoRR abs/2202.09721 (2022) - [i54]Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu:
DisARM: Displacement Aware Relation Module for 3D Detection. CoRR abs/2203.01152 (2022) - [i53]Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu:
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo. CoRR abs/2204.01320 (2022) - [i52]Qijin She, Ruizhen Hu, Juzhan Xu, Min Liu, Kai Xu, Hui Huang:
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction. CoRR abs/2204.13998 (2022) - [i51]Chenyi Liu, Fei Chen, Lu Deng, Renjiao Yi, Lintao Zheng, Chenyang Zhu, Jia Wang, Kai Xu:
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features. CoRR abs/2209.08266 (2022) - [i50]Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Hao Zhang, Hui Huang, Ruizhen Hu:
NIFT: Neural Interaction Field and Template for Object Manipulation. CoRR abs/2210.10992 (2022) - [i49]Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang:
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification. CoRR abs/2212.00338 (2022) - [i48]Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu:
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition. CoRR abs/2212.01538 (2022) - [i47]Hang Zhao, Zherong Pan, Yang Yu, Kai Xu:
Learning Physically Realizable Skills for Online Packing of General 3D Shapes. CoRR abs/2212.02094 (2022) - 2021
- [j68]Yuqing Lan, Yao Duan, Yifei Shi, Hui Huang, Kai Xu:
3DRM: Pair-wise relation module for 3D object detection. Comput. Graph. 98: 58-70 (2021) - [j67]Liqiang Lin, Pengdi Huang, Fuyou Xue, Kai Xu, Daniel Cohen-Or, Hui Huang:
Hausdorff point convolution with geometric priors. Sci. China Inf. Sci. 64(11) (2021) - [j66]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS. Int. J. Comput. Vis. 129(6): 1857-1874 (2021) - [j65]Qiaoyun Wu, Xiaoxi Gong, Kai Xu, Dinesh Manocha, Jingxuan Dong, Jun Wang:
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning. IEEE Robotics Autom. Lett. 6(1): 175-182 (2021) - [j64]Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Xiaoxi Gong, Dinesh Manocha:
Reinforcement Learning-Based Visual Navigation With Information-Theoretic Regularization. IEEE Robotics Autom. Lett. 6(2): 731-738 (2021) - [j63]Kai Xu, Longyin Wen, Guorong Li, Honggang Qi, Liefeng Bo, Qingming Huang:
Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer. IEEE Trans. Image Process. 30: 2501-2512 (2021) - [j62]Kai Xu, Longyin Wen, Guorong Li, Qingming Huang:
Self-Supervised Deep TripleNet for Video Object Segmentation. IEEE Trans. Multim. 23: 3530-3539 (2021) - [j61]Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
ROSEFusion: random optimization for online dense reconstruction under fast camera motion. ACM Trans. Graph. 40(4): 56:1-56:17 (2021) - [c37]Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu:
Online 3D Bin Packing with Constrained Deep Reinforcement Learning. AAAI 2021: 741-749 - [c36]Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou:
Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels. CVPR 2021: 10276-10285 - [c35]Yifei Shi, Junwen Huang, Xin Xu, Yifan Zhang, Kai Xu:
StablePose: Learning 6D Object Poses From Geometrically Stable Patches. CVPR 2021: 15222-15231 - [i46]Junwen Huang, Yifei Shi, Xin Xu, Yifan Zhang, Kai Xu:
StablePose: Learning 6D Object Poses from Geometrically Stable Patches. CoRR abs/2102.09334 (2021) - [i45]Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou:
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels. CoRR abs/2103.13030 (2021) - [i44]Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu:
Potential Convolution: Embedding Point Clouds into Potential Fields. CoRR abs/2104.01754 (2021) - [i43]Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion. CoRR abs/2105.05600 (2021) - [i42]Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu:
Learning Practically Feasible Policies for Online 3D Bin Packing. CoRR abs/2108.13680 (2021) - 2020
- [j60]Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang:
Learning Generative Models of 3D Structures. Comput. Graph. Forum 39(2): 643-666 (2020) - [j59]Chengjie Niu, Yang Yu, Zhenwei Bian, Jun Li, Kai Xu:
Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images. Comput. Graph. Forum 39(7): 447-457 (2020) - [j58]Min Liu, Zherong Pan, Kai Xu, Dinesh Manocha:
New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning. IEEE Robotics Autom. Lett. 5(3): 4663-4670 (2020) - [j57]Yifei Shi, Junwen Huang, Hongjia Zhang, Xin Xu, Szymon Rusinkiewicz, Kai Xu:
SymmetryNet: learning to predict reflectional and rotational symmetries of 3D shapes from single-view RGB-D images. ACM Trans. Graph. 39(6): 213:1-213:14 (2020) - [c34]Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu:
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations. AAAI 2020: 10001-10008 - [c33]Jun Li, Chengjie Niu, Kai Xu:
Learning Part Generation and Assembly for Structure-Aware Shape Synthesis. AAAI 2020: 11362-11369 - [c32]Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. CVPR 2020: 826-835 - [c31]Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation. CVPR 2020: 4533-4542 - [c30]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. CVPR 2020: 8540-8549 - [c29]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. CVPR 2020: 10444-10453 - [c28]Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu:
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation. CVPR 2020: 11970-11979 - [c27]Dexiang Hong, Guorong Li, Kai Xu, Li Su, Qingming Huang:
Siamese Dynamic Mask Estimation Network for Fast Video Object Segmentation. ICPR 2020: 9476-9482 - [c26]Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. NeurIPS 2020 - [c25]Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Deep Differentiable Grasp Planner for High-DOF Grippers. Robotics: Science and Systems 2020 - [i41]Dengsheng Chen, Jun Li, Kai Xu:
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation. CoRR abs/2001.09322 (2020) - [i40]Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Deep Differentiable Grasp Planner for High-DOF Grippers. CoRR abs/2002.01530 (2020) - [i39]Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation. CoRR abs/2003.06233 (2020) - [i38]Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. CoRR abs/2004.05679 (2020) - [i37]Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu:
Online 3D Bin Packing with Constrained Deep Reinforcement Learning. CoRR abs/2006.14978 (2020) - [i36]Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. CoRR abs/2007.04883 (2020) - [i35]Yifei Shi, Junwen Huang, Hongjia Zhang, Xin Xu, Szymon Rusinkiewicz, Kai Xu:
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images. CoRR abs/2008.00485 (2020) - [i34]Qiaoyun Wu, Xiaoxi Gong, Kai Xu, Dinesh Manocha, Jingxuan Dong, Jun Wang:
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning. CoRR abs/2009.14509 (2020) - [i33]Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang:
One Point is All You Need: Directional Attention Point for Feature Learning. CoRR abs/2012.06257 (2020) - [i32]Pengdi Huang, Liqiang Lin, Kai Xu, Hui Huang:
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization. CoRR abs/2012.12642 (2020) - [i31]Pengdi Huang, Liqiang Lin, Fuyou Xue, Kai Xu, Danny Cohen-Or, Hui Huang:
Hausdorff Point Convolution with Geometric Priors. CoRR abs/2012.13118 (2020)
2010 – 2019
- 2019
- [j56]Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Nießner, Kai Xu:
Active Scene Understanding via Online Semantic Reconstruction. Comput. Graph. Forum 38(7): 103-114 (2019) - [j55]Min Liu, Yifei Shi, Lintao Zheng, Kai Xu, Hui Huang, Dinesh Manocha:
Recurrent 3D attentional networks for end-to-end active object recognition. Comput. Vis. Media 5(1): 91-104 (2019) - [j54]Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Trans. Knowl. Data Eng. 31(8): 1610-1623 (2019) - [j53]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. ACM Trans. Graph. 38(2): 12:1-12:16 (2019) - [j52]Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen:
Multi-robot collaborative dense scene reconstruction. ACM Trans. Graph. 38(4): 84:1-84:16 (2019) - [j51]Biao Leng, Cheng Zhang, Xiaocheng Zhou, Cheng Xu, Kai Xu:
Learning Discriminative 3D Shape Representations by View Discerning Networks. IEEE Trans. Vis. Comput. Graph. 25(10): 2896-2909 (2019) - [j50]Songle Chen, Lintao Zheng, Yan Zhang, Zhixin Sun, Kai Xu:
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification. IEEE Trans. Vis. Comput. Graph. 25(12): 3244-3257 (2019) - [c24]Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang:
Spatiotemporal CNN for Video Object Segmentation. CVPR 2019: 1379-1388 - [c23]Yifei Shi, Angel X. Chang, Zhelun Wu, Manolis Savva, Kai Xu:
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction. CVPR 2019: 1771-1780 - [c22]Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu:
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes. CVPR 2019: 8876-8884 - [c21]Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu:
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation. CVPR 2019: 9491-9500 - [c20]Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang:
Learning Generative Models of 3D Structures. Eurographics (Tutorials) 2019: 47-51 - [c19]Maciej Halber, Yifei Shi, Kai Xu, Thomas A. Funkhouser:
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans. ICCV 2019: 2541-2550 - [c18]Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks. IROS 2019: 1518-1525 - [i30]Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks. CoRR abs/1903.00425 (2019) - [i29]Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu:
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation. CoRR abs/1903.00709 (2019) - [i28]Yifei Shi, Angel Xuan Chang, Zhelun Wu, Manolis Savva, Kai Xu:
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction. CoRR abs/1903.03757 (2019) - [i27]Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu:
Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes. CoRR abs/1903.03911 (2019) - [i26]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss. CoRR abs/1903.10297 (2019) - [i25]Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang:
Spatiotemporal CNN for Video Object Segmentation. CoRR abs/1904.02363 (2019) - [i24]Zherong Pan, Min Liu, Xifeng Gao, Kai Xu, Dinesh Manocha:
Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages. CoRR abs/1905.08956 (2019) - [i23]Jun Li, Chengjie Niu, Kai Xu:
Learning Part Generation and Assembly for Structure-aware Shape Synthesis. CoRR abs/1906.06693 (2019) - [i22]Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu:
Visual Navigation by Generating Next Expected Observations. CoRR abs/1906.07207 (2019) - [i21]Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Nießner, Kai Xu:
Active Scene Understanding via Online Semantic Reconstruction. CoRR abs/1906.07409 (2019) - [i20]Min Liu, Zherong Pan, Kai Xu, Dinesh Manocha:
New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning. CoRR abs/1909.05430 (2019) - [i19]Maciej Halber, Yifei Shi, Kai Xu, Thomas A. Funkhouser:
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans. CoRR abs/1909.11268 (2019) - [i18]Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. CoRR abs/1911.10949 (2019) - [i17]Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Dinesh Manocha:
Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization. CoRR abs/1912.04078 (2019) - 2018
- [j49]Dinesh Manocha, Ligang Liu, Kai Xu:
Foreword to the Special Issue on CAD/Graphics 2017. Comput. Graph. 70: A3-A6 (2018) - [j48]Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines. ACM Trans. Graph. 37(2): 21 (2018) - [j47]Ke Xie, Hao Yang, Shengqiu Huang, Dani Lischinski, Marc Christie, Kai Xu, Minglun Gong, Daniel Cohen-Or, Hui Huang:
Creating and chaining camera moves for quadrotor videography. ACM Trans. Graph. 37(4): 88 (2018) - [j46]Ligang Liu, Xi Xia, Han Sun, Qi Shen, Juzhan Xu, Bin Chen, Hui Huang, Kai Xu:
Object-aware guidance for autonomous scene reconstruction. ACM Trans. Graph. 37(4): 104 (2018) - [j45]Xiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qinping Zhao, Kai Xu:
Learning to group and label fine-grained shape components. ACM Trans. Graph. 37(6): 210 (2018) - [j44]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang:
SCORES: shape composition with recursive substructure priors. ACM Trans. Graph. 37(6): 211 (2018) - [c17]Chengjie Niu, Jun Li, Kai Xu:
Im2Struct: Recovering 3D Shape Structure From a Single RGB Image. CVPR 2018: 4521-4529 - [c16]Yifei Shi, Kai Xu, Matthias Nießner, Szymon Rusinkiewicz, Thomas A. Funkhouser:
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction. ECCV (8) 2018: 767-784 - [c15]Kai Xu, Guorong Li, Huijuan Xu, Weigang Zhang, Qingming Huang:
Edge Guided Generation Network for Video Prediction. ICME 2018: 1-6 - [c14]Jian Liu, Shiqing Xin, Zengfu Gao, Kai Xu, Changhe Tu, Baoquan Chen:
Caging Loops in Shape Embedding Space: Theory and Computation. ICRA 2018: 1-5 - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura:
Advances in Visual Computing - 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11241, Springer 2018, ISBN 978-3-030-03800-7 [contents] - [i16]Yifei Shi, Kai Xu, Matthias Nießner, Szymon Rusinkiewicz, Thomas A. Funkhouser:
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction. CoRR abs/1803.08407 (2018) - [i15]Chengjie Niu, Jun Li, Kai Xu:
Im2Struct: Recovering 3D Shape Structure from a Single RGB Image. CoRR abs/1804.05469 (2018) - [i14]Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines. CoRR abs/1804.06579 (2018) - [i13]Ligang Liu, Xi Xia, Han Sun, Qi Shen, Juzhan Xu, Bin Chen, Hui Huang, Kai Xu:
Object-Aware Guidance for Autonomous Scene Reconstruction. CoRR abs/1805.07794 (2018) - [i12]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. CoRR abs/1807.09193 (2018) - [i11]Jian Liu, Shiqing Xin, Zengfu Gao, Kai Xu, Changhe Tu, Baoquan Chen:
Caging Loops in Shape Embedding Space: Theory and Computation. CoRR abs/1807.11661 (2018) - [i10]Biao Leng, Cheng Zhang, Xiaocheng Zhou, Cheng Xu, Kai Xu:
Learning Discriminative 3D Shape Representations by View Discerning Networks. CoRR abs/1808.03823 (2018) - [i9]Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. CoRR abs/1808.06556 (2018) - [i8]Songle Chen, Lintao Zheng, Yan Zhang, Zhixin Sun, Kai Xu:
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification. CoRR abs/1808.06698 (2018) - [i7]Xiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qinping Zhao, Kai Xu:
Learning to Group and Label Fine-Grained Shape Components. CoRR abs/1809.05050 (2018) - [i6]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang:
SCORES: Shape Composition with Recursive Substructure Priors. CoRR abs/1809.05398 (2018) - 2017
- [j43]Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang:
Surface reconstruction with data-driven exemplar priors. Comput. Aided Des. 88: 31-41 (2017) - [j42]Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis:
Data-Driven Shape Analysis and Processing. Comput. Graph. Forum 36(1): 101-132 (2017) - [j41]Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang:
Data-Driven Sparse Priors of 3D Shapes. Comput. Graph. Forum 36(7): 63-72 (2017) - [j40]Ligang Liu, Kai Xu:
Preface. J. Comput. Sci. Technol. 32(6): 1136-1137 (2017) - [j39]Chenyang Zhu, Renjiao Yi, Wallace P. Lira, Ibraheem Alhashim, Kai Xu, Hao (Richard) Zhang:
Deformation-driven shape correspondence via shape recognition. ACM Trans. Graph. 36(4): 51:1-51:12 (2017) - [j38]Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, Leonidas J. Guibas:
GRASS: generative recursive autoencoders for shape structures. ACM Trans. Graph. 36(4): 52:1-52:14 (2017) - [j37]Kai Xu, Lintao Zheng, Zihao Yan, Guohang Yan, Eugene Zhang, Matthias Nießner, Oliver Deussen, Daniel Cohen-Or, Hui Huang:
Autonomous reconstruction of unknown indoor scenes guided by time-varying tensor fields. ACM Trans. Graph. 36(6): 202:1-202:15 (2017) - [j36]Jun Wang, Kai Xu:
Shape Detection from Raw LiDAR Data with Subspace Modeling. IEEE Trans. Vis. Comput. Graph. 23(9): 2137-2150 (2017) - [i5]Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang:
Surface Reconstruction with Data-driven Exemplar Priors. CoRR abs/1701.03230 (2017) - [i4]Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas:
GRASS: Generative Recursive Autoencoders for Shape Structures. CoRR abs/1705.02090 (2017) - 2016
- [j35]Yifei Shi, Pinxin Long, Kai Xu, Hui Huang, Yueshan Xiong:
Data-driven contextual modeling for 3D scene understanding. Comput. Graph. 55: 55-67 (2016) - [j34]Qing Yuan, Guiqing Li, Kai Xu, Xudong Chen, Hui Huang:
Space-Time Co-Segmentation of Articulated Point Cloud Sequences. Comput. Graph. Forum 35(2): 419-429 (2016) - [j33]Hao Li, Guowei Wan, Honghua Li, Andrei Sharf, Kai Xu, Baoquan Chen:
Mobility Fitting using 4D RANSAC. Comput. Graph. Forum 35(5): 79-88 (2016) - [j32]Xuekun Guo, Juncong Lin, Kai Xu, Siddhartha Chaudhuri, Xiaogang Jin:
CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches. Comput. Graph. Forum 35(5): 89-100 (2016) - [j31]Bo Wu, Kai Xu, Yang Zhou, Yueshan Xiong, Hui Huang:
Skeleton-guided 3D shape distance field metamorphosis. Graph. Model. 85: 37-45 (2016) - [j30]Yueqing Wang, Zhige Xie, Kai Xu, Yong Dou, Yuanwu Lei:
An efficient and effective convolutional auto-encoder extreme learning machine network for 3d feature learning. Neurocomputing 174: 988-998 (2016) - [j29]Kai Xu, Yifei Shi, Lintao Zheng, Junyu Zhang, Min Liu, Hui Huang, Hao Su, Daniel Cohen-Or, Baoquan Chen:
3D attention-driven depth acquisition for object identification. ACM Trans. Graph. 35(6): 238:1-238:14 (2016) - [c13]Kai Xu, Vladimir G. Kim, Qixing Huang, Niloy J. Mitra, Evangelos Kalogerakis:
Data-driven shape analysis and processing. SIGGRAPH ASIA Courses 2016: 4:1-4:38 - [c12]Min Liu, Yifei Shi, Lintao Zheng, Yueshan Xiong, Kai Xu:
Volumetric spatial transformer network for object recognition. SIGGRAPH Asia Posters 2016: 38 - [i3]Min Liu, Yifei Shi, Lintao Zheng, Kai Xu:
Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes. CoRR abs/1610.04308 (2016) - 2015
- [j28]Jun Li, Weiwei Xu, Zhi-Quan Cheng, Kai Xu, Reinhard Klein:
Lightweight wrinkle synthesis for 3D facial modeling and animation. Comput. Aided Des. 58: 117-122 (2015) - [j27]Qian Zheng, Zhuming Hao, Hui Huang, Kai Xu, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
Skeleton-Intrinsic Symmetrization of Shapes. Comput. Graph. Forum 34(2): 275-286 (2015) - [j26]Zhige Xie, Kai Xu, Wen Shan, Ligang Liu, Yueshan Xiong, Hui Huang:
Projective Feature Learning for 3D Shapes with Multi-View Depth Images. Comput. Graph. Forum 34(7): 1-11 (2015) - [j25]Kai Xu, Hui Huang, Yifei Shi, Hao Li, Pinxin Long, Jianong Caichen, Wei Sun, Baoquan Chen:
Autoscanning for coupled scene reconstruction and proactive object analysis. ACM Trans. Graph. 34(6): 177:1-177:14 (2015) - [j24]Ibraheem Alhashim, Kai Xu, Yixin Zhuang, Junjie Cao, Patricio D. Simari, Hao Zhang:
Deformation-driven topology-varying 3D shape correspondence. ACM Trans. Graph. 34(6): 236:1-236:13 (2015) - [i2]Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis:
Data-Driven Shape Analysis and Processing. CoRR abs/1502.06686 (2015) - 2014
- [j23]Zhige Xie, Kai Xu, Ligang Liu, Yueshan Xiong:
3D Shape Segmentation and Labeling via Extreme Learning Machine. Comput. Graph. Forum 33(5): 85-95 (2014) - [j22]Xuekun Guo, Juncong Lin, Kai Xu, Xiaogang Jin:
Creature grammar for creative modeling of 3D monsters. Graph. Model. 76(5): 376-389 (2014) - [j21]Kai Xu, Rui Ma, Hao Zhang, Chenyang Zhu, Ariel Shamir, Daniel Cohen-Or, Hui Huang:
Organizing heterogeneous scene collections through contextual focal points. ACM Trans. Graph. 33(4): 35:1-35:12 (2014) - [j20]Ibraheem Alhashim, Honghua Li, Kai Xu, Junjie Cao, Rui Ma, Hao Zhang:
Topology-varying 3D shape creation via structural blending. ACM Trans. Graph. 33(4): 158:1-158:10 (2014) - [j19]Zhige Xie, Yueshan Xiong, Kai Xu:
AB3D: action-based 3D descriptor for shape analysis. Vis. Comput. 30(6-8): 591-601 (2014) - [j18]Zhige Xie, Yueshan Xiong, Kai Xu:
Erratum to: AB3D: action-based 3D descriptor for shape analysis. Vis. Comput. 30(9): 1071 (2014) - [c11]Kai Xu, Leonidas J. Guibas, Alexei A. Efros, Shi-Min Hu, Ariel Shamir, Jun-Yan Zhu:
Data-driven visual computing. SIGGRAPH ASIA Courses 2014: 7:1 - 2013
- [j17]Jun Wang, Kai Xu, Ligang Liu, Junjie Cao, Shengjun Liu, Zeyun Yu, Xianfeng David Gu:
Consolidation of Low-quality Point Clouds from Outdoor Scenes. Comput. Graph. Forum 32(5): 207-216 (2013) - [j16]Xiaohua Xie, Kai Xu, Niloy J. Mitra, Daniel Cohen-Or, Wenyong Gong, Qi Su, Baoquan Chen:
Sketch-to-Design: Context-Based Part Assembly. Comput. Graph. Forum 32(8): 233-245 (2013) - [j15]Wei Jiang, Kai Xu, Zhi-Quan Cheng, Ralph R. Martin, Gang Dang:
Curve skeleton extraction by coupled graph contraction and surface clustering. Graph. Model. 75(3): 137-148 (2013) - [j14]Wei Jiang, Kai Xu, Zhi-Quan Cheng, Hao Zhang:
Skeleton-based intrinsic symmetry detection on point clouds. Graph. Model. 75(4): 177-188 (2013) - [j13]Yanzhen Wang, Yueshan Xiong, Kai Xu, Dong Liu:
vKASS: a surgical procedure simulation system for arthroscopic anterior cruciate ligament reconstruction. Comput. Animat. Virtual Worlds 24(1): 25-41 (2013) - [j12]Oliver van Kaick, Kai Xu, Hao Zhang, Yanzhen Wang, Shuyang Sun, Ariel Shamir, Daniel Cohen-Or:
Co-hierarchical analysis of shape structures. ACM Trans. Graph. 32(4): 69:1-69:10 (2013) - [j11]Hao Zhang, Kai Xu, Wei Jiang, Jinjie Lin, Daniel Cohen-Or, Baoquan Chen:
Layered analysis of irregular facades via symmetry maximization. ACM Trans. Graph. 32(4): 121:1-121:13 (2013) - [c10]Chenyang Zhu, Yueshan Xiong, Kai Xu, Peng Shi:
Fast cutting simulations with underlying lattices. BMEI 2013: 283-289 - [c9]Yin Chen, Zhi-Quan Cheng, Kai Xu, Ralph R. Martin, Gang Dang:
Full-body geometry and motion capture from a single depth camera. SIGGRAPH ASIA Posters 2013: 10 - 2012
- [j10]Kai Xu, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
Fit and diverse: set evolution for inspiring 3D shape galleries. ACM Trans. Graph. 31(4): 57:1-57:10 (2012) - [j9]Kai Xu, Hao Zhang, Wei Jiang, Ramsay Dyer, Zhi-Quan Cheng, Ligang Liu, Baoquan Chen:
Multi-scale partial intrinsic symmetry detection. ACM Trans. Graph. 31(6): 181:1-181:11 (2012) - [c8]Wei Jiang, Kai Xu, Zhi-Quan Cheng, Ralph R. Martin, Gang Dang:
Curve Skeleton Extraction by Graph Contraction. CVM 2012: 178-185 - [i1]Xiaohua Xie, Kai Xu, Niloy J. Mitra, Daniel Cohen-Or, Baoquan Chen:
Sketch-to-Design: Context-based Part Assembly. CoRR abs/1212.4490 (2012) - 2011
- [j8]Yanzhen Wang, Kai Xu, Jun Li, Hao Zhang, Ariel Shamir, Ligang Liu, Zhi-Quan Cheng, Yueshan Xiong:
Symmetry Hierarchy of Man-Made Objects. Comput. Graph. Forum 30(2): 287-296 (2011) - [j7]Kai Xu, Hanlin Zheng, Hao Zhang, Daniel Cohen-Or, Ligang Liu, Yueshan Xiong:
Photo-inspired model-driven 3D object modeling. ACM Trans. Graph. 30(4): 80 (2011) - 2010
- [j6]Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, Zhi-Quan Cheng:
Style-content separation by anisotropic part scales. ACM Trans. Graph. 29(6): 184 (2010) - [c7]Zhi-Quan Cheng, Wei Jiang, Gang Dang, Ralph R. Martin, Jun Li, Honghua Li, Yin Chen, Yanzhen Wang, Bao Li, Kai Xu, Shiyao Jin:
Non-rigid Registration in 3D Implicit Vector Space. Shape Modeling International 2010: 37-46
2000 – 2009
- 2009
- [j5]Kai Xu, Zhi-Quan Cheng, Yanzhen Wang, Yueshan Xiong, Hao Zhang:
Quality encoding for tetrahedral mesh optimization. Comput. Graph. 33(3): 250-261 (2009) - [j4]Kai Xu, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong:
Dynamic harmonic fields for surface processing. Comput. Graph. 33(3): 391-398 (2009) - [j3]Kai Xu, Daniel Cohen-Or, Tao Ju, Ligang Liu, Hao Zhang, Shizhe Zhou, Yueshan Xiong:
Feature-aligned shape texturing. ACM Trans. Graph. 28(5): 108 (2009) - [j2]Kai Xu, Hao Zhang, Andrea Tagliasacchi, Ligang Liu, Guo Li, Min Meng, Yueshan Xiong:
Partial intrinsic reflectional symmetry of 3D shapes. ACM Trans. Graph. 28(5): 138 (2009) - [c6]Gang Dang, Hang Li, Zhi-Quan Cheng, Kai Xu, Yanzhen Wang, Bao Li:
An Adaptive Octree Textures Painting Algorithm. SMC 2009: 4131-4135 - 2008
- [j1]Yanzhen Wang, Kai Xu, Yueshan Xiong, Zhi-Quan Cheng:
2D shape deformation based on rigid square matching. Comput. Animat. Virtual Worlds 19(3-4): 411-420 (2008) - [c5]Zhi-Quan Cheng, Bao Li, Kai Xu, Yanzhen Wang, Gang Dang, Shiyao Jin:
An Error-Resilient Arithmetic Coding Algorithm for Compressed Meshes. CW 2008: 455-460 - [c4]Zhi-Quan Cheng, Yanzhen Wang, Bao Li, Kai Xu, Gang Dang, Shiyao Jin:
A Survey of Methods for Moving Least Squares Surfaces. VG/PBG@SIGGRAPH 2008: 9-23 - 2007
- [c3]Zhi-Quan Cheng, Kai Xu, Bao Li, Yanzhen Wang, Gang Dang, Shiyao Jin:
A Mesh Meaningful Segmentation Algorithm Using Skeleton and Minima-Rule. ISVC (2) 2007: 671-680 - 2006
- [c2]Yanzhen Wang, Yueshan Xiong, Kai Xu, Ke Tan, Guangyou Guo:
A mass-spring model for surface mesh deformation based on shape matching. GRAPHITE 2006: 375-380 - [c1]Kai Xu, Yueshan Xiong, Yanzhen Wang, Ke Tan, Guangyou Guo:
A simple and stable feature-preserving smoothing method for contours-based reconstructed meshes. GRAPHITE 2006: 391-398
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-31 21:08 CET by the dblp team
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