Dynamic Graph CNN for Learning on Point Clouds

Wang, Yue, Sun, Yongbin, Liu, Ziwei, Sarma, Sanjay E., Bronstein, Michael M., Solomon, Justin M.·2019·ACM Transactions on Graphics
DOI 10.1145/3326362

Cited by (1,006)

Items 801–900 of 1,006

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  3. LighTN: Light-Weight Transformer Network for Performance-Overhead Tradeoff in Point Cloud Downsampling
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  7. SAI3D: Segment any Instance in 3D Scenes
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  8. GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations
    Xiang Gao, Wei Hu, Guo-Jun Qi · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  9. CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
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  10. DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
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  11. Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
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  12. A Closer Look at Rotation-invariant Deep Point Cloud Analysis
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  13. VMV-GCN: Volumetric Multi-View Based Graph CNN for Event Stream Classification
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  14. AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose
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  15. Rigid pairwise 3D point cloud registration: A survey
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  16. Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR ‐ species20K dataset
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  17. Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
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  18. Zero-shot Learning of 3D Point Cloud Objects
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  19. PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
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  20. Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
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  21. Robust 6D Object Pose Estimation by Learning RGB-D Features
    Meng Tian, Liang Pan, Marcelo H. Ang, Gim Hee Lee · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  22. Charged Particle Tracking via Edge-Classifying Interaction Networks
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  23. PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation
    Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  24. Efficient and Robust LiDAR-Based End-to-End Navigation
    Zhijian Liu, Alexander Amini, Sibo Zhu, Sertaç Karaman, Song Han, Daniela L. Rus · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  25. Object DGCNN: 3D Object Detection using Dynamic Graphs
    Yue Wang, Justin Solomon · 2021 · arXiv (Cornell University)
  26. Adversarial Shape Perturbations on 3D Point Clouds
    Daniel Liu, Ronald Yu, Hao Su · 2020 · Lecture notes in computer science
  27. Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering
    Zonghan Wu, Shirui Pan, Guodong Long, Jing Bo Jiang, Chengqi Zhang · 2022 · IEEE Transactions on Knowledge and Data Engineering
  28. Attribute Artifacts Removal for Geometry-Based Point Cloud Compression
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  29. Learning a Structured Latent Space for Unsupervised Point Cloud Completion
    Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  30. Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
    Qijian Zhang, Junhui Hou, Yue Qian, Yiming Zeng, Juyong Zhang, Ying He · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  31. Masked Autoencoders in 3D Point Cloud Representation Learning
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  32. Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation
    Christoph B. Rist, Markus Enzweiler, Dariu M. Gavrila · 2019 · IEEE Intelligent Vehicles Symposium
  33. Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
    Y. Iiyama, G. Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Lončar, Maurizio Pierini B, Shah Rukh Qasim, M. Rieger, S. Summers, G. P. Van Onsem et al. · 2020 · DSpace@MIT (Massachusetts Institute of Technology)
  34. Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
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  40. Superpixel-Based Attention Graph Neural Network for Semantic Segmentation in Aerial Images
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  41. DDGCN: graph convolution network based on direction and distance for point cloud learning
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  49. Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds
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  50. Machine Learning for Object Recognition in Manufacturing Applications
    Huitaek Yun, Eunseob Kim, Dong Min Kim, Hyung Wook Park, Martin Byung‐Guk Jun · 2023 · International Journal of Precision Engineering and Manufacturing
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  52. GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
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  53. Spatial-Temporal Graph Model Based on Attention Mechanism for Anomalous IoT Intrusion Detection
    Xinlei Wang, Xiaojuan Wang, Mingshu He, Min Zhang, Zikui Lu · 2023 · IEEE Transactions on Industrial Informatics
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  55. Point-cloud deep learning of porous media for permeability prediction
    Ali Kashefi, Tapan Mukerji · 2021 · Physics of Fluids
  56. SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix
    Jianyun Xu, Xin Tang, Zhu Yushi, Jie Sun, Shiliang Pu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  57. MAAS: Multi-modal Assignation for Active Speaker Detection
    Juan León Alcázar, Fabian Caba Heilbron, Ali Thabet, Bernard Ghanem · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  58. SpaRSE-BIM: Classification of IFC-based geometry via sparse convolutional neural networks
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  59. Attention-enhanced sampling point cloud network (ASPCNet) for efficient 3D tunnel semantic segmentation
    Yunxiang Zhou, Ankang Ji, Limao Zhang, Xiaolong Xue · 2022 · Automation in Construction
  60. Overlap-guided Gaussian Mixture Models for Point Cloud Registration
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  62. GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation
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  63. Exploring Hierarchical Spatial Layout Cues for 3D Point Cloud Based Scene Graph Prediction
    Mingtao Feng, Haoran Hou, Liang Zhang, Yulan Guo, Hongshan Yu, Yaonan Wang, Ajmal Saeed Mian · 2023 · IEEE Transactions on Multimedia
  64. Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
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  65. Enhancing point cloud semantic segmentation in the data‐scarce domain of industrial plants through synthetic data
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  66. PathNet: Path-Selective Point Cloud Denoising
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  67. An Improved Method for Individual Tree Segmentation in Complex Urban Scenes Based on Using Multispectral LiDAR by Deep Learning
    Jian Sheng Yang, Ruilin Gan, Binhan Luo, Ao Wang, Shuo Shi, Lin Du · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  68. Unsupervised Learning of Intrinsic Structural Representation Points
    Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  69. Binary Graph Neural Networks
    Mehdi Bahri, G. Bahl, Stefanos P. Zafeiriou · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  70. Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
    Seohyun Kim, Jaeyoo Park, Bohyung Han · 2020 · arXiv (Cornell University)
  71. Generative 3D Part Assembly via Dynamic Graph Learning
    Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong · 2020 · arXiv (Cornell University)
  72. PnP-3D: A Plug-and-Play for 3D Point Clouds
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  73. Point Cloud Generation Using Deep Adversarial Local Features for Augmented and Mixed Reality Contents
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  74. NeuralTailor
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  75. Background-Aware 3-D Point Cloud Segmentation With Dynamic Point Feature Aggregation
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  76. Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
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  77. 3D adversarial attacks beyond point cloud
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  78. NeiEA-NET: Semantic segmentation of large-scale point cloud scene via neighbor enhancement and aggregation
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  79. Stereoscopic scalable quantum convolutional neural networks
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  82. Attentional Graph Neural Network for Parking-Slot Detection
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  83. 3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
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  84. ResDLPS-Net: Joint residual-dense optimization for large-scale point cloud semantic segmentation
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  85. Object verification based on deep learning point feature comparison for scan-to-BIM
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  86. MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud
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  87. A Comprehensive Review of Modern Object Segmentation Approaches
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  88. Efficient Human Pose Estimation via 3D Event Point Cloud
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  89. Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
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  90. Imperceptible and Robust Backdoor Attack in 3D Point Cloud
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  91. MV-ReID: 3D Multi-view Transformation Network for Occluded Person Re-Identification
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  92. Clustering based Point Cloud Representation Learning for 3D Analysis
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  93. Artificial intelligence in paleontology
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  94. Uncertainty-aware point cloud segmentation for infrastructure projects using Bayesian deep learning
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  95. AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
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  96. Fast Point Cloud Registration using Semantic Segmentation
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  97. Dynamic Graph CNN for Event-Camera Based Gesture Recognition
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  98. Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images
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  99. Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
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  100. AGNet: An Attention-Based Graph Network for Point Cloud Classification and Segmentation
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