Kai Xu

According to our database, Kai Xu authored at least 191 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SSR-2D: Semantic 3D Scene Reconstruction From 2D Images.

Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

THP: Tensor-field-driven hierarchical path planning for autonomous scene exploration with depth sensors.

Yuefeng Xi, Chenyang Zhu, Yao Duan, Renjiao Yi, Lintao Zheng, Hongjun He, Kai Xu

Comput. Vis. Media, December, 2024

STEdge: Self-Training Edge Detection With Multilayer Teaching and Regularization.

Yunfan Ye, Renjiao Yi, Zhiping Cai, Kai Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Neural Observation Field Guided Hybrid Optimization of Camera Placement.

Yihan Cao, Jiazhao Zhang, Zhinan Yu, Kai Xu

IEEE Robotics Autom. Lett., November, 2024

Parametric Primitive Analysis of CAD Sketches With Vision Transformer.

Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu

IEEE Trans. Ind. Informatics, October, 2024

DSGI-Net: Density-based Selective Grouping Point Cloud Learning Network for Indoor Scene.

Xin Wen, Yao Duan, Kai Xu, Chenyang Zhu

Comput. Graph. Forum, October, 2024

GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization.

Yanhao Sun, Runze Tian, Xiao Han, Xinyao Liu, Yan Zhang, Kai Xu

Comput. Graph. Forum, October, 2024

SuperUDF: Self-Supervised UDF Estimation for Surface Reconstruction.

Hui Tian, Chenyang Zhu, Yifei Shi, Kai Xu

IEEE Trans. Vis. Comput. Graph., September, 2024

Self Supervised Progressive Network for High Performance Video Object Segmentation.

Guorong Li, Dexiang Hong, Kai Xu, Bineng Zhong, Li Su, Zhenjun Han, Qingming Huang

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Learning accurate template matching with differentiable coarse-to-fine correspondence refinement.

Zhirui Gao, Renjiao Yi, Zheng Qin, Yunfan Ye, Chenyang Zhu, Kai Xu

Comput. Vis. Media, April, 2024

DINA: Deformable INteraction Analogy.

Zeyu Huang, Sisi Dai, Kai Xu, Hao (Richard) Zhang, Hui Huang, Ruizhen Hu

Graph. Model., 2024

Generic Objects as Pose Probes for Few-Shot View Synthesis.

Zhirui Gao, Renjiao Yi, Chenyang Zhu, Ke Zhuang, Wei Chen, Kai Xu

CoRR, 2024

Learning Part-aware 3D Representations by Fusing 2D Gaussians and Superquadrics.

Zhirui Gao, Renjiao Yi, Yuhang Huang, Wei Chen, Chenyang Zhu, Kai Xu

CoRR, 2024

Parametric Primitive Analysis of CAD Sketches with Vision Transformer.

Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu

CoRR, 2024

DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems.

Kexiong Yu, Hang Zhao, Yuhang Huang, Renjiao Yi, Kai Xu, Chenyang Zhu

CoRR, 2024

Relighting Scenes with Object Insertions in Neural Radiance Fields.

Xuening Zhu, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu

CoRR, 2024

Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields.

Yuhang Huang, SHilong Zou, Xinwang Liu, Kai Xu

CoRR, 2024

NeRF-Guided Unsupervised Learning of RGB-D Registration.

Zhinan Yu, Zheng Qin, Yijie Tang, Yongjun Wang, Renjiao Yi, Chenyang Zhu, Kai Xu

CoRR, 2024

Learning Cross-hand Policies for High-DOF Reaching and Grasping.

Qijin She, Shishun Zhang, Yunfan Ye, Min Liu, Ruizhen Hu, Kai Xu

CoRR, 2024

Surface Reconstruction from Point Clouds via Grid-based Intersection Prediction.

Hui Tian, Kai Xu

CoRR, 2024

LLM-enhanced Scene Graph Learning for Household Rearrangement.

Wenhao Li, Zhiyuan Yu, Qijin She, Zhinan Yu, Yuqing Lan, Chenyang Zhu, Ruizhen Hu, Kai Xu

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

MaskEditor: Instruct 3D Object Editing with Learned Masks.

Xinyao Liu, Kai Xu, Yuhang Huang, Renjiao Yi, Chenyang Zhu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

CSO: Constraint-Guided Space Optimization for Active Scene Mapping.

Xuefeng Yin, Chenyang Zhu, Shanglai Qu, Yuqi Li, Kai Xu, Baocai Yin, Xin Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning to Transfer Heterogeneous Translucent Materials from a 2D Image to 3D Models.

Xiaogang Wang, Yuhang Cheng, Ziyang Fan, Kai Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning Dual-arm Object Rearrangement for Cartesian Robots.

Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, Yongjun Wang, Ruizhen Hu, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Synchronized Dual-arm Rearrangement via Cooperative mTSP.

Wenhao Li, Shishun Zhang, Sisi Dai, Hui Huang, Ruizhen Hu, Xiaohong Chen, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient and Accurate Multi-Instance Point Cloud Registration with Iterative Main Cluster Detection.

Zhiyuan Yu, Qin Zheng, Chenyang Zhu, Kai Xu

Proceedings of the 45th Annual Conference of the European Association for Computer Graphics, 2024

Learning Cross-Hand Policies of High-DOF Reaching and Grasping.

Qijin She, Shishun Zhang, Yunfan Ye, Ruizhen Hu, Kai Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

InterFusion: Text-Driven Generation of 3D Human-Object Interaction.

Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, Ruizhen Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes.

Zhiyuan Yu, Zheng Qin, Lintao Zheng, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.

Baoyun Peng, Min Liu, Zhaoning Zhang, Kai Xu, Dongsheng Li

Proceedings of the Computational Visual Media - 12th International Conference, 2024

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection.

Yunfan Ye, Kai Xu, Yuhang Huang, Renjiao Yi, Zhiping Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction.

Yijie Tang, Jiazhao Zhang, Zhinan Yu, He Wang, Kai Xu

ACM Trans. Graph., December, 2023

EFECL: Feature encoding enhancement with contrastive learning for indoor 3D object detection.

Yao Duan, Renjiao Yi, Yuanming Gao, Kai Xu, Chenyang Zhu

Comput. Vis. Media, December, 2023

RayMVSNet++: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo.

Yifei Shi, Junhua Xi, Dewen Hu, Zhiping Cai, Kai Xu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Learning Physically Realizable Skills for Online Packing of General 3D Shapes.

Hang Zhao, Zherong Pan, Yang Yu, Kai Xu

ACM Trans. Graph., October, 2023

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 Trans. Pattern Anal. Mach. Intell., August, 2023

CasViGE: Learning robust point cloud registration with cascaded visual-geometric encoding.

Zheng Qin, Changjian Wang, Yuxing Peng, Kai Xu

Comput. Aided Geom. Des., July, 2023

ASRO-DIO: Active Subspace Random Optimization Based Depth Inertial Odometry.

Jiazhao Zhang, Yijie Tang, He Wang, Kai Xu

IEEE Trans. Robotics, April, 2023

Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision.

Yifei Shi, Xin Xu, Junhua Xi, Xiaochang Hu, Dewen Hu, Kai Xu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features.

Chenyi Liu, Fei Chen, Lu Deng, Renjiao Yi, Lintao Zheng, Chenyang Zhu, Jia Wang, Kai Xu

Comput. Vis. Media, February, 2023

On learning the right attention point for feature enhancement.

Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang

Sci. China Inf. Sci., January, 2023

Active hand-eye calibration via online accuracy-driven next-best-view selection.

Xinxin Zhang, Yuefeng Xi, Zhentao Huang, Lintao Zheng, Hui Huang, Yueshan Xiong, Kai Xu

Vis. Comput., 2023

Delving Into Crispness: Guided Label Refinement for Crisp Edge Detection.

Yunfan Ye, Renjiao Yi, Zhirui Gao, Zhiping Cai, Kai Xu

IEEE Trans. Image Process., 2023

Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface.

Hui Tian, Kai Xu

CoRR, 2023

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments.

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

CoRR, 2023

Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction.

Hui Tian, Zheng Qin, Renjiao Yi, Chenyang Zhu, Kai Xu

CoRR, 2023

Decoupled Diffusion Models with Explicit Transition Probability.

Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu

CoRR, 2023

S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans.

Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner

CoRR, 2023

Edge Preserving Implicit Surface Representation of Point Clouds.

Xiaogang Wang, Yuhang Cheng, Liang Wang, Jiangbo Lu, Kai Xu, Guoqiang Xiao

CoRR, 2023

NIFT: Neural Interaction Field and Template for Object Manipulation.

Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Richard Zhang, Hui Huang, Ruizhen Hu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations.

Boyan Wan, Yifei Shi, Kai Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View.

Jingjia Shi, Shuaifeng Zhi, Kai Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds.

Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification.

Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-supervised Single-view Image Relighting.

Renjiao Yi, Chenyang Zhu, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-View Images.

Yunfan Ye, Renjiao Yi, Zhirui Gao, Chenyang Zhu, Zhiping Cai, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration.

Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration.

Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition.

Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-view 2D-3D alignment with hybrid bundle adjustment for visual metrology.

Yang Yu, Chengjie Niu, Jun Li, Kai Xu

Vis. Comput., 2022

Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction.

Qijin She, Ruizhen Hu, Juzhan Xu, Min Liu, Kai Xu, Hui Huang

ACM Trans. Graph., 2022

Computational Object-Wrapping Rope Nets.

Jian Liu, Shiqing Xin, Xifeng Gao, Kaihang Gao, Kai Xu, Baoquan Chen, Changhe Tu

ACM Trans. Graph., 2022

Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization.

Pengdi Huang, Liqiang Lin, Kai Xu, Hui Huang

IEEE Trans. Intell. Transp. Syst., 2022

ARM3D: Attention-based relation module for indoor 3D object detection.

Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, Kai Xu

Comput. Vis. Media, 2022

STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization.

Yunfan Ye, Renjiao Yi, Zhiping Cai, Kai Xu

CoRR, 2022

Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision.

Yan Liu, Qingyong Hu, Yinjie Lei, Kai Xu, Jonathan Li, Yulan Guo

CoRR, 2022

Learning practically feasible policies for online 3D bin packing.

Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu

Sci. China Inf. Sci., 2022

Learning Efficient Online 3D Bin Packing on Packing Configuration Trees.

Hang Zhao, Yang Yu, Kai Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo.

Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Geometric Transformer for Fast and Robust Point Cloud Registration.

Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures.

Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Decoupling Makes Weakly Supervised Local Feature Better.

Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DisARM: Displacement Aware Relation Module for 3D Detection.

Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fusion Multiple Kernel K-means.

Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.

Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ROSEFusion: random optimization for online dense reconstruction under fast camera motion.

Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu

ACM Trans. Graph., 2021

Self-Supervised Deep TripleNet for Video Object Segmentation.

Kai Xu, Longyin Wen, Guorong Li, Qingming Huang

IEEE Trans. Multim., 2021

Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer.

Kai Xu, Longyin Wen, Guorong Li, Honggang Qi, Liefeng Bo, Qingming Huang

IEEE Trans. Image Process., 2021

Reinforcement Learning-Based Visual Navigation With Information-Theoretic Regularization.

Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Xiaoxi Gong, Dinesh Manocha

IEEE Robotics Autom. Lett., 2021

Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning.

Qiaoyun Wu, Xiaoxi Gong, Kai Xu, Dinesh Manocha, Jingxuan Dong, Jun Wang

IEEE Robotics Autom. Lett., 2021

Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS.

Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang

Int. J. Comput. Vis., 2021

Potential Convolution: Embedding Point Clouds into Potential Fields.

Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu

CoRR, 2021

Hausdorff point convolution with geometric priors.

Liqiang Lin, Pengdi Huang, Fuyou Xue, Kai Xu, Daniel Cohen-Or, Hui Huang

Sci. China Inf. Sci., 2021

3DRM: Pair-wise relation module for 3D object detection.

Yuqing Lan, Yao Duan, Yifei Shi, Hui Huang, Kai Xu

Comput. Graph., 2021

StablePose: Learning 6D Object Poses From Geometrically Stable Patches.

Yifei Shi, Junwen Huang, Xin Xu, Yifan Zhang, Kai Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels.

Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SymmetryNet: learning to predict reflectional and rotational symmetries of 3D shapes from single-view RGB-D images.

Yifei Shi, Junwen Huang, Hongjia Zhang, Xin Xu, Szymon Rusinkiewicz, Kai Xu

ACM Trans. Graph., 2020

New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning.

Min Liu, Zherong Pan, Kai Xu, Dinesh Manocha

IEEE Robotics Autom. Lett., 2020

One Point is All You Need: Directional Attention Point for Feature Learning.

Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang

CoRR, 2020

Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation.

Dengsheng Chen, Jun Li, Kai Xu

CoRR, 2020

Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images.

Chengjie Niu, Yang Yu, Zhenwei Bian, Jun Li, Kai Xu

Comput. Graph. Forum, 2020

Learning Generative Models of 3D Structures.

Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang

Comput. Graph. Forum, 2020

Deep Differentiable Grasp Planner for High-DOF Grippers.

Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha

Proceedings of the Robotics: Science and Systems XVI, 2020

PIE-NET: Parametric Inference of Point Cloud Edges.

Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Siamese Dynamic Mask Estimation Network for Fast Video Object Segmentation.

Dexiang Hong, Guorong Li, Kai Xu, Li Su, Qingming Huang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation.

Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection.

Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes.

Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation.

Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss.

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations.

Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Part Generation and Assembly for Structure-Aware Shape Synthesis.

Jun Li, Chengjie Niu, Kai Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Discriminative 3D Shape Representations by View Discerning Networks.

Biao Leng, Cheng Zhang, Xiaocheng Zhou, Cheng Xu, Kai Xu

IEEE Trans. Vis. Comput. Graph., 2019

VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification.

Songle Chen, Lintao Zheng, Yan Zhang, Zhixin Sun, Kai Xu

IEEE Trans. Vis. Comput. Graph., 2019

GRAINS: Generative Recursive Autoencoders for INdoor Scenes.

Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang

ACM Trans. Graph., 2019

Multi-robot collaborative dense scene reconstruction.

Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen

ACM Trans. Graph., 2019

Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets.

Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2019

Recurrent 3D attentional networks for end-to-end active object recognition.

Min Liu, Yifei Shi, Lintao Zheng, Kai Xu, Hui Huang, Dinesh Manocha

Comput. Vis. Media, 2019

Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization.

Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Dinesh Manocha

CoRR, 2019

Visual Navigation by Generating Next Expected Observations.

Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu

CoRR, 2019

Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages.

Zherong Pan, Min Liu, Xifeng Gao, Kai Xu, Dinesh Manocha

CoRR, 2019

CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss.

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang

CoRR, 2019

Active Scene Understanding via Online Semantic Reconstruction.

Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Nießner, Kai Xu

Comput. Graph. Forum, 2019

Generating Grasp Poses for a High-DOF Gripper Using Neural Networks.

Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Rescan: Inductive Instance Segmentation for Indoor RGBD Scans.

Maciej Halber, Yifei Shi, Kai Xu, Thomas A. Funkhouser

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Generative Models of 3D Structures.

Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation.

Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes.

Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction.

Yifei Shi, Angel X. Chang, Zhelun Wu, Manolis Savva, Kai Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spatiotemporal CNN for Video Object Segmentation.

Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

SCORES: shape composition with recursive substructure priors.

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang

ACM Trans. Graph., 2018

Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines.

Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao (Richard) Zhang

ACM Trans. Graph., 2018

Creating and chaining camera moves for quadrotor videography.

Ke Xie, Hao Yang, Shengqiu Huang, Dani Lischinski, Marc Christie, Kai Xu, Minglun Gong, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2018

Learning to group and label fine-grained shape components.

Xiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qinping Zhao, Kai Xu

ACM Trans. Graph., 2018

Object-aware guidance for autonomous scene reconstruction.

Ligang Liu, Xi Xia, Han Sun, Qi Shen, Juzhan Xu, Bin Chen, Hui Huang, Kai Xu

ACM Trans. Graph., 2018

Foreword to the Special Issue on CAD/Graphics 2017.

Dinesh Manocha, Ligang Liu, Kai Xu

Comput. Graph., 2018

Caging Loops in Shape Embedding Space: Theory and Computation.

Jian Liu, Shiqing Xin, Zengfu Gao, Kai Xu, Changhe Tu, Baoquan Chen

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Edge Guided Generation Network for Video Prediction.

Kai Xu, Guorong Li, Huijuan Xu, Weigang Zhang, Qingming Huang

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction.

Yifei Shi, Kai Xu, Matthias Nießner, Szymon Rusinkiewicz, Thomas A. Funkhouser

Proceedings of the Computer Vision - ECCV 2018, 2018

Im2Struct: Recovering 3D Shape Structure From a Single RGB Image.

Chengjie Niu, Jun Li, Kai Xu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shape Detection from Raw LiDAR Data with Subspace Modeling.

Jun Wang, Kai Xu

IEEE Trans. Vis. Comput. Graph., 2017

Deformation-driven shape correspondence via shape recognition.

Chenyang Zhu, Renjiao Yi, Wallace P. Lira, Ibraheem Alhashim, Kai Xu, Hao (Richard) Zhang

ACM Trans. Graph., 2017

GRASS: generative recursive autoencoders for shape structures.

Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, Leonidas J. Guibas

ACM Trans. Graph., 2017

Autonomous reconstruction of unknown indoor scenes guided by time-varying tensor fields.

Kai Xu, Lintao Zheng, Zihao Yan, Guohang Yan, Eugene Zhang, Matthias Nießner, Oliver Deussen, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2017

Preface.

Ligang Liu, Kai Xu

J. Comput. Sci. Technol., 2017

Data-Driven Shape Analysis and Processing.

Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis

Comput. Graph. Forum, 2017

Data-Driven Sparse Priors of 3D Shapes.

Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang

Comput. Graph. Forum, 2017

Surface reconstruction with data-driven exemplar priors.

Oussama Remil, Qian Xie, Xingyu Xie, Kai Xu, Jun Wang

Comput. Aided Des., 2017

2016

3D attention-driven depth acquisition for object identification.

Kai Xu, Yifei Shi, Lintao Zheng, Junyu Zhang, Min Liu, Hui Huang, Hao Su, Daniel Cohen-Or, Baoquan Chen

ACM Trans. Graph., 2016

An efficient and effective convolutional auto-encoder extreme learning machine network for 3d feature learning.

Yueqing Wang, Zhige Xie, Kai Xu, Yong Dou, Yuanwu Lei

Neurocomputing, 2016

Skeleton-guided 3D shape distance field metamorphosis.

Bo Wu, Kai Xu, Yang Zhou, Yueshan Xiong, Hui Huang

Graph. Model., 2016

Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes.

Min Liu, Yifei Shi, Lintao Zheng, Kai Xu

CoRR, 2016

Space-Time Co-Segmentation of Articulated Point Cloud Sequences.

Qing Yuan, Guiqing Li, Kai Xu, Xudong Chen, Hui Huang

Comput. Graph. Forum, 2016

Mobility Fitting using 4D RANSAC.

Hao Li, Guowei Wan, Honghua Li, Andrei Sharf, Kai Xu, Baoquan Chen

Comput. Graph. Forum, 2016

CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches.

Xuekun Guo, Juncong Lin, Kai Xu, Siddhartha Chaudhuri, Xiaogang Jin

Comput. Graph. Forum, 2016

Data-driven contextual modeling for 3D scene understanding.

Yifei Shi, Pinxin Long, Kai Xu, Hui Huang, Yueshan Xiong

Comput. Graph., 2016

Volumetric spatial transformer network for object recognition.

Min Liu, Yifei Shi, Lintao Zheng, Yueshan Xiong, Kai Xu

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Posters, 2016

Data-driven shape analysis and processing.

Kai Xu, Vladimir G. Kim, Qixing Huang, Niloy J. Mitra, Evangelos Kalogerakis

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

2015

Deformation-driven topology-varying 3D shape correspondence.

Ibraheem Alhashim, Kai Xu, Yixin Zhuang, Junjie Cao, Patricio D. Simari, Hao Zhang

ACM Trans. Graph., 2015

Autoscanning for coupled scene reconstruction and proactive object analysis.

Kai Xu, Hui Huang, Yifei Shi, Hao Li, Pinxin Long, Jianong Caichen, Wei Sun, Baoquan Chen

ACM Trans. Graph., 2015

Skeleton-Intrinsic Symmetrization of Shapes.

Qian Zheng, Zhuming Hao, Hui Huang, Kai Xu, Hao Zhang, Daniel Cohen-Or, Baoquan Chen

Comput. Graph. Forum, 2015

Projective Feature Learning for 3D Shapes with Multi-View Depth Images.

Zhige Xie, Kai Xu, Wen Shan, Ligang Liu, Yueshan Xiong, Hui Huang

Comput. Graph. Forum, 2015

Lightweight wrinkle synthesis for 3D facial modeling and animation.

Jun Li, Weiwei Xu, Zhi-Quan Cheng, Kai Xu, Reinhard Klein

Comput. Aided Des., 2015

2014

Erratum to: AB3D: action-based 3D descriptor for shape analysis.

Zhige Xie, Yueshan Xiong, Kai Xu

Vis. Comput., 2014

AB3D: action-based 3D descriptor for shape analysis.

Zhige Xie, Yueshan Xiong, Kai Xu

Vis. Comput., 2014

Topology-varying 3D shape creation via structural blending.

Ibraheem Alhashim, Honghua Li, Kai Xu, Junjie Cao, Rui Ma, Hao Zhang

ACM Trans. Graph., 2014

Organizing heterogeneous scene collections through contextual focal points.

Kai Xu, Rui Ma, Hao Zhang, Chenyang Zhu, Ariel Shamir, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2014

Creature grammar for creative modeling of 3D monsters.

Xuekun Guo, Juncong Lin, Kai Xu, Xiaogang Jin

Graph. Model., 2014

3D Shape Segmentation and Labeling via Extreme Learning Machine.

Zhige Xie, Kai Xu, Ligang Liu, Yueshan Xiong

Comput. Graph. Forum, 2014

Data-driven visual computing.

Kai Xu, Leonidas J. Guibas, Alexei A. Efros, Shi-Min Hu, Ariel Shamir, Jun-Yan Zhu

Proceedings of the SIGGRAPH Asia 2014 Courses, Shenzhen, China, December 3-6, 2014, 2014

2013

Layered analysis of irregular facades via symmetry maximization.

Hao Zhang, Kai Xu, Wei Jiang, Jinjie Lin, Daniel Cohen-Or, Baoquan Chen

ACM Trans. Graph., 2013

Co-hierarchical analysis of shape structures.

Oliver van Kaick, Kai Xu, Hao Zhang, Yanzhen Wang, Shuyang Sun, Ariel Shamir, Daniel Cohen-Or

ACM Trans. Graph., 2013

vKASS: a surgical procedure simulation system for arthroscopic anterior cruciate ligament reconstruction.

Yanzhen Wang, Yueshan Xiong, Kai Xu, Dong Liu

Comput. Animat. Virtual Worlds, 2013

Skeleton-based intrinsic symmetry detection on point clouds.

Wei Jiang, Kai Xu, Zhi-Quan Cheng, Hao Zhang

Graph. Model., 2013

Curve skeleton extraction by coupled graph contraction and surface clustering.

Wei Jiang, Kai Xu, Zhi-Quan Cheng, Ralph R. Martin, Gang Dang

Graph. Model., 2013

Sketch-to-Design: Context-Based Part Assembly.

Xiaohua Xie, Kai Xu, Niloy J. Mitra, Daniel Cohen-Or, Wenyong Gong, Qi Su, Baoquan Chen

Comput. Graph. Forum, 2013

Consolidation of Low-quality Point Clouds from Outdoor Scenes.

Jun Wang, Kai Xu, Ligang Liu, Junjie Cao, Shengjun Liu, Zeyun Yu, Xianfeng David Gu

Comput. Graph. Forum, 2013

Full-body geometry and motion capture from a single depth camera.

Yin Chen, Zhi-Quan Cheng, Kai Xu, Ralph R. Martin, Gang Dang

Proceedings of the SIGGRAPH Asia 2013, 2013

Fast cutting simulations with underlying lattices.

Chenyang Zhu, Yueshan Xiong, Kai Xu, Peng Shi

Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012

Fit and diverse: set evolution for inspiring 3D shape galleries.

Kai Xu, Hao Zhang, Daniel Cohen-Or, Baoquan Chen

ACM Trans. Graph., 2012

Multi-scale partial intrinsic symmetry detection.

Kai Xu, Hao Zhang, Wei Jiang, Ramsay Dyer, Zhi-Quan Cheng, Ligang Liu, Baoquan Chen

ACM Trans. Graph., 2012

Sketch-to-Design: Context-based Part Assembly

Xiaohua Xie, Kai Xu, Niloy J. Mitra, Daniel Cohen-Or, Baoquan Chen

CoRR, 2012

Curve Skeleton Extraction by Graph Contraction.

Wei Jiang, Kai Xu, Zhi-Quan Cheng, Ralph R. Martin, Gang Dang

Proceedings of the Computational Visual Media - First International Conference, 2012

2011

Photo-inspired model-driven 3D object modeling.

Kai Xu, Hanlin Zheng, Hao Zhang, Daniel Cohen-Or, Ligang Liu, Yueshan Xiong

ACM Trans. Graph., 2011

Symmetry Hierarchy of Man-Made Objects.

Yanzhen Wang, Kai Xu, Jun Li, Hao Zhang, Ariel Shamir, Ligang Liu, Zhi-Quan Cheng, Yueshan Xiong

Comput. Graph. Forum, 2011

2010

Style-content separation by anisotropic part scales.

Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, Zhi-Quan Cheng

ACM Trans. Graph., 2010

Non-rigid Registration in 3D Implicit Vector Space.

Zhi-Quan Cheng, Wei Jiang, Gang Dang, Ralph R. Martin, Jun Li, Honghua Li, Yin Chen, Yanzhen Wang, Bao Li, Kai Xu, Shiyao Jin

Proceedings of the SMI 2010, 2010

2009

Partial intrinsic reflectional symmetry of 3D shapes.

Kai Xu, Hao Zhang, Andrea Tagliasacchi, Ligang Liu, Guo Li, Min Meng, Yueshan Xiong

ACM Trans. Graph., 2009

Feature-aligned shape texturing.

Kai Xu, Daniel Cohen-Or, Tao Ju, Ligang Liu, Hao Zhang, Shizhe Zhou, Yueshan Xiong

ACM Trans. Graph., 2009

Dynamic harmonic fields for surface processing.

Kai Xu, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong

Comput. Graph., 2009

Quality encoding for tetrahedral mesh optimization.

Kai Xu, Zhi-Quan Cheng, Yanzhen Wang, Yueshan Xiong, Hao Zhang

Comput. Graph., 2009

An Adaptive Octree Textures Painting Algorithm.

Gang Dang, Hang Li, Zhi-Quan Cheng, Kai Xu, Yanzhen Wang, Bao Li

Proceedings of the IEEE International Conference on Systems, 2009

2008

2D shape deformation based on rigid square matching.

Yanzhen Wang, Kai Xu, Yueshan Xiong, Zhi-Quan Cheng

Comput. Animat. Virtual Worlds, 2008

A Survey of Methods for Moving Least Squares Surfaces.

Zhi-Quan Cheng, Yanzhen Wang, Bao Li, Kai Xu, Gang Dang, Shiyao Jin

Proceedings of the Eurographics / IEEE VGTC Symposium on Volume and Point-Based Graphics, 2008

An Error-Resilient Arithmetic Coding Algorithm for Compressed Meshes.

Zhi-Quan Cheng, Bao Li, Kai Xu, Yanzhen Wang, Gang Dang, Shiyao Jin

Proceedings of the International Conference on Cyberworlds 2008, 2008

2007

A Mesh Meaningful Segmentation Algorithm Using Skeleton and Minima-Rule.

Zhi-Quan Cheng, Kai Xu, Bao Li, Yanzhen Wang, Gang Dang, Shiyao Jin

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006

A simple and stable feature-preserving smoothing method for contours-based reconstructed meshes.

Kai Xu, Yueshan Xiong, Yanzhen Wang, Ke Tan, Guangyou Guo

Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2006, Kuala Lumpur, Malaysia, November 29, 2006

A mass-spring model for surface mesh deformation based on shape matching.

Yanzhen Wang, Yueshan Xiong, Kai Xu, Ke Tan, Guangyou Guo

Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2006, Kuala Lumpur, Malaysia, November 29, 2006