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 601–700 of 1,006
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- Adversarial Attack and Defense on Point SetsJiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, Qi Chuan Tian · 2019 · arXiv (Cornell University)
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- Global visual localization in LiDAR-maps through shared 2D-3D embedding spaceDaniele Cattaneo, Matteo Vaghi, Simone Fontana, Augusto Luis Ballardini, Domenico Giorgio Sorrenti · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
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- VLG-Net: Video-Language Graph Matching Network for Video GroundingMattia Soldan, Mengmeng Xu, Sisi Qu, Jesper N. Tegner, Bernard Ghanem · 2021 · IEEE International Conference on Computer Vision Workshops
- A Kernel Correlation-Based Approach to Adaptively Acquire Local Features for Learning 3D Point CloudsYupeng Song, Fazhi He, Yansong Duan, Yaqian Liang, Xiaohu Yan · 2022 · Computer-Aided Design
- RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep LearningZhiyuan Zhang, Binh‐Son Hua, Sai-Kit Yeung · 2022 · International Journal of Computer Vision
- Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph ConvolutionTze Ho Elden Tse, Kwang In Kim, Aleš Leonardis, Hyung Jin Chang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- PCDNF: Revisiting Learning-Based Point Cloud Denoising via Joint Normal FilteringZheng Liu, Yaowu Zhao, Sijing Zhan, Yuanyuan Liu, Renjie Chen, Ying He · 2023 · IEEE Transactions on Visualization and Computer Graphics
- CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D RecognitionDeepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel · 2023 · IEEE International Conference on Computer Vision Workshops
- Campus3DXinke Li, Chongshou Li, Zekun Tong, Andrew E. B. Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang · 2020 · ACM International Conference on Multimedia (ACM MM)
- Active and incremental learning for semantic ALS point cloud segmentationYaping Lin, George Vosselman A, Yanpeng Cao, Michael Ying Yang · 2020 · ISPRS Journal of Photogrammetry and Remote Sensing
- FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentationAoran Xiao, Xiaofei Yang, Shijian Lu, Dayan Guan, Jiaxing Huang · 2021 · ISPRS Journal of Photogrammetry and Remote Sensing
- Zero-Shot Learning on 3D Point Cloud Objects and BeyondAli Cheraghian, Shafin Rahman, Townim Faisal Chowdhury, Dylan Campbell, Lars Petersson · 2022 · International Journal of Computer Vision
- Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisChaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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- Joint Semantic-Instance Segmentation Method for Intelligent Transportation SystemYujie Li, Jintong Cai, Quan Zhou, Huimin Lu · 2022 · IEEE Transactions on Intelligent Transportation Systems
- Siamese KPConv: 3D multiple change detection from raw point clouds using deep learningIris de Gélis, Sébastien Lefèvre, Thomas Corpetti · 2023 · ISPRS Journal of Photogrammetry and Remote Sensing
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- SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generatorZhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Kaolin: A PyTorch Library for Accelerating 3D Deep Learning ResearchKrishna Murthy Jatavallabhula, Edward James Smith, Jean-Francois Lafleche, Clément Fuji Tsang, Artem Rozantsev, Wen-Zheng Chen, Tommy Xiang, Lebaredian, S. Fidler · 2019 · arXiv.org
- ReLaText: Exploiting visual relationships for arbitrary-shaped scene text detection with graph convolutional networksChixiang Ma, Lei Sun, Zhuoyao Zhong, Qiang Huo · 2020 · Pattern Recognition
- Latent-Graph Learning for Disease PredictionLuca Cosmo, Anees Kazi, Seyed‐Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein · 2020 · Lecture notes in computer science
- DAN: Deep-Attention Network for 3D Shape RecognitionWeizhi Nie, Yue Zhao, Dan Song, Yue Gao · 2021 · IEEE Transactions on Image Processing
- Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraintsZheyuan Wang, Chen Liu, Matthew Gombolay · 2021 · Autonomous Robots
- Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical FeaturesKuangen Zhang, Ming Hao, Jing Wang, Xinxing Chen, Yuquan Leng, Clarence Wilfred de Silva, Chenglong Fu · 2021 · International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
- Three Dimensional Change Detection Using Point Clouds: A ReviewAbderrazzaq Kharroubi, Florent Poux, Zouhair Ballouch, Rafika Hajji, Roland Billen · 2022 · Geomatics
- PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D DetectionLinfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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- A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous DrivingZhiyang Guo, Yingping Huang, Xing Hu, Hongjian Wei, Baigan Zhao · 2021 · Electronics
- Recognition of building group patterns using graph convolutional networkZhao Rong, Tinghua Ai A, Wenhao Yu, Yakun He, Yilang Shen · 2020 · Cartography and Geographic Information Science
- Minimal Adversarial Examples for Deep Learning on 3D Point CloudsJaeyeon Kim, Binh‐Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- HPNet: Deep Primitive Segmentation Using Hybrid RepresentationsSiming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, Qi-xing Huang A · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Accelerating large scale real-time GNN inference using channel pruningHongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna · 2021 · Proceedings of the VLDB Endowment
- A Survey on Deep Domain Adaptation for LiDAR PerceptionLarissa T. Triess, Mariella Dreißig, Christoph B. Rist, J. Marius Zöllner · 2021 · IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)
- Graph-Based 3D Multi-Person Pose Estimation Using Multi-View ImagesSize Wu, Sheng Jin, Wentao Liu, Lei Bai, Chen Qian, Dong Liu, Wanli Ouyang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Deep Magnification-Flexible Upsampling Over 3D Point CloudsYue Qian, Junhui Hou, Sam Kwong, Ying He · 2021 · IEEE Transactions on Image Processing
- Applications of graph convolutional networks in computer visionPingping Cao, Zeqi Zhu, Ziyuan Wang, Yanping Zhu, Qiang Niu · 2022 · Neural Computing and Applications
- Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisMaciej Besta, Torsten Hoefler · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Deep learning applications for point clouds in the construction industryHongzhe Yue, Qian Wang, Hongxiang Zhao, Ningshuang Zeng, Yi Tan · 2024 · Automation in Construction
- 3D Instance Embedding Learning With a Structure-Aware Loss Function for Point Cloud SegmentationZhidong Liang, Ming Yang, Hao Li, Chunxiang Wang · 2020 · IEEE Robotics and Automation Letters
- StructureNet: Hierarchical Graph Networks for 3D Shape GenerationKaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas · 2019 · arXiv (Cornell University)
- GCN-Denoiser: Mesh Denoising with Graph Convolutional NetworksYuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Vladimirovich Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng · 2022 · ACM Transactions on Graphics
- PointLoc: Deep Pose Regressor for LiDAR Point Cloud LocalizationWei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni · 2021 · IEEE Sensors Journal
- Context-Aware Network for Semantic Segmentation Toward Large-Scale Point Clouds in Urban EnvironmentsChun Liu, Doudou Zeng, Akram Akbar, Hangbin Wu, Shoujun Jia, Zeran Xu, Han Yue · 2022 · IEEE Transactions on Geoscience and Remote Sensing
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- Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo LabelsHehe Fan, Xiao-Jun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan Kankanhalli · 2022 · Computer Vision and Pattern Recognition
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- GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance RepresentationSiyu Ren, Junhui Hou, Xiaodong Chen, Ying He, Wenping Wang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive surveyAnju Rani, Daniel Ortíz-Arroyo, Petar Durdevic · 2024 · Information Fusion
- Transductive Zero-Shot Learning for 3D Point Cloud ClassificationAli Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson · 2020 · IEEE Winter Conference on Applications of Computer Vision
- Visibility-Aware Point-Based Multi-View Stereo NetworkRui Chen, Songfang Han, Jing Lin Xu, Hao Su · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested EnvironmentsShichao Jin, Yanjun Su, Xiaoqian Zhao, Tianyu Hu, Qinghua Guo · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Point Cloud GANChunliang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov · 2018 · arXiv (Cornell University)
- Segmentation of structural parts of rosebush plants with 3D point-based deep learning methodsKaya Turgut, Helin Dutağacı, Gilles Galopin, David Rousseau · 2022 · Plant Methods
- Head pose estimation using deep neural networks and 3D point cloudsYuanquan Xu, Cheolkon Jung, Yakun Chang · 2021 · Pattern Recognition
- SP-GANRuihui Li, Xianzhi Li, Ka-Hei Hui, Chi‐Wing Fu · 2021 · ACM Transactions on Graphics
- PU-Flow: A Point Cloud Upsampling Network With Normalizing FlowsAihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong‐Jin Liu, Ying He · 2022 · IEEE Transactions on Visualization and Computer Graphics
- Learning Graph Neural Networks for Image Style TransferYongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao · 2022 · Lecture notes in computer science
- CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud CompletionZhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Jun Wang, Mingqiang Wei, Jing Qin · 2023 · IEEE Transactions on Visualization and Computer Graphics
- Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous DrivingAmbati Pravallika, Mohammad Farukh Hashmi, Aditya Dinesh Gupta · 2024 · IEEE Access
- A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospectsYuqi Cheng, Yunkang Cao, Haiming Yao, Wei Luo, Cheng Jiang, Hui Zhang, Weiming Shen · 2025 · Journal of Manufacturing Systems
- FROM 2D TO 3D SUPERVISED SEGMENTATION AND CLASSIFICATION FOR CULTURAL HERITAGE APPLICATIONSEleonora Grilli, Domenica Dininno, G. Petrucci, Fabio Remondino A · 2018 · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
- Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth EstimationJaesung Choe, Kyungdon Joo, Tooba Imtiaz, In So Kweon · 2021 · IEEE Robotics and Automation Letters
- Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep LearningHaonan Duan, Peng Wang, Ya-Yu Huang, Guangyun Xu, Wei Wei, Xiaofei Shen · 2021 · Frontiers in Neurorobotics
- Graph Neural Network via Edge Convolution for Hyperspectral Image ClassificationHaojie Hu, Minli Yao, Fang He, Fenggan Zhang · 2021 · IEEE Geoscience and Remote Sensing Letters
- SPAGHETTIAmir Hertz, Or Perel, Raja Giryes, Olga Sorkine‐Hornung, Daniel Cohen‐Or · 2022 · ACM Transactions on Graphics
- GRLC: Graph Representation Learning With ConstraintsLiang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu · 2023 · IEEE Transactions on Neural Networks and Learning Systems
- PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point CloudsWenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Fuxin Li · 2019 · arXiv (Cornell University)
- ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningGuocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem · 2021 · arXiv (Cornell University)
- 3D Spatial Recognition without Spatially Labeled 3DZhongzheng Ren, Ishan Misra, Alexander Gerhard Schwing, Rohit Girdhar · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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- A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin PickingXianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi‐Wing Fu, Yichuan Li, Qi Dou, Yunhui Liu, Pheng‐Ann Heng · 2022 · IEEE Robotics and Automation Letters
- Thermodynamics-Informed Graph Neural NetworksQuercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto · 2022 · IEEE Transactions on Artificial Intelligence
- Implicit Autoencoder for Point-Cloud Self-Supervised Representation LearningSi-Ming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, Qi-Xing Huang · 2022 · IEEE International Conference on Computer Vision
- End-to-end point cloud-based segmentation of building members for automating dimensional quality controlKaveh Mirzaei, Mehrdad Arashpour, Ehsan Asadi, Hossein Masoumi, Amir Mahdiyar, Vicente A. González · 2023 · Advanced Engineering Informatics
- Surface and Edge Detection for Primitive Fitting of Point CloudsYuanqi Li, Shun Liu, Xinran Yang, Jianwei Guo, Jie Jassic Guo, Yanwen Guo · 2023 · ACM SIGGRAPH Conference (SIGGRAPH)
- LinK: Linear Kernel for LiDAR-based 3D PerceptionTao Lu, Xiang Ding, Haisong Liu, Gangshan Wu, Limin Wang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Deep-Learning-Based Point Cloud Semantic Segmentation: A SurveyRui Zhang, Yichao Wu, Wei Jin, Xiaoman Meng · 2023 · Electronics
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