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 901–1,000 of 1,006

  1. Crescent
    Yu Feng, Gunnar Hammonds, Yiming Gan, Yuhao Zhu · 2022 · Proceedings - International Symposium on Computer Architecture/Proceedings
  2. RG-GCN: A Random Graph Based on Graph Convolution Network for Point Cloud Semantic Segmentation
    Ziyin Zeng, Yongyang Xu, Zhong Xie, Jie Wan, Weichao Wu, Wenxia Dai · 2022 · Remote Sensing
  3. Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism
    Yan Zheng, Shengyou Wang, Chunjiao Dong, Wenquan Li, Wen Zheng, Jingcai Yu · 2022 · Physica A Statistical Mechanics and its Applications
  4. Progress and perspectives of point cloud intelligence
    Bisheng Yang, Nobert Haala, Zhen Dong · 2023 · Geo-spatial Information Science
  5. Super Sparse 3D Object Detection
    Lue Fan, Yuxue Yang, Wang Feng, Naiyan Wang, Zhaoxiang Zhang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  6. MKConv: Multidimensional feature representation for point cloud analysis
    Sungmin Woo, Dogyoon Lee, Sangwon Hwang, Woo Jin Kim, Sangyoun Lee · 2023 · Pattern Recognition
  7. Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds
    Ankang Ji, Limao Zhang, Hongqin Fan, Xiaolong Xue, Yudan Dou · 2023 · Automation in Construction
  8. Deformation depth decoupling network for point cloud domain adaptation
    Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li · 2024 · Neural Networks
  9. A machine learning approach for the prediction of aqueous solubility of pharmaceuticals: a comparative model and dataset analysis
    Mohammad Amin Ghanavati, Soroush Ahmadi, Sohrab Rohani · 2024 · Digital Discovery
  10. Mapping and Semantic Modeling of Underground Parking Lots Using a Backpack LiDAR System
    Zheng Gong, Jonathan Li, Zhipeng Luo, Chenglu Wen, Cheng Wang, John Zelek · 2019 · IEEE Transactions on Intelligent Transportation Systems
  11. Learning to Estimate the Body Shape Under Clothing From a Single 3-D Scan
    Pengpeng Hu, Nastaran Nourbakhsh Kaashki, Vasile Teodor Dădârlat, Adrian Munteanu · 2020 · IEEE Transactions on Industrial Informatics
  12. Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules
    Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu · 2020 · IEEE Transactions on Image Processing
  13. Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks
    Dilong Li, Xin Shen, Yongtao Yu, Haiyan Guan, Jonathan Li, Guo Zhang A, Deren Li · 2020 · Remote Sensing
  14. MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
    Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, N. Zevallos, Simon Lucey, H. Choset · 2020 · International Conference on 3D Vision
  15. DVFENet: Dual-branch voxel feature extraction network for 3D object detection
    Yunqian He, Guihua Xia, Yongkang Luo, Li Ping Su, Zhi Zhang, Wanyi Li, Peng Wang · 2021 · Neurocomputing
  16. Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
    Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou · 2021 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  17. A Neural Rendering Framework for Free-Viewpoint Relighting
    Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu A · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  18. Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
    Stefan Stojanov, Anh Thai, James Matthew Rehg · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  19. PU-GACNet: Graph Attention Convolution Network for Point Cloud Upsampling
    Bing Han, Xinyun Zhang, Shuang Ren · 2022 · Image and Vision Computing
  20. Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
    Tae Jun Jang, Hye Sun Yun, Chang Min Hyun, Jong‐Eun Kim, Sang-Hwy Lee, Jin Keun Seo · 2024 · Medical Image Analysis
  21. Automated bridge component recognition using close-range images from unmanned aerial vehicles
    Hyunjun Kim, Yasutaka Narazaki, Billie F. Spencer · 2022 · Engineering Structures
  22. An Overview of Knowledge Graph Reasoning: Key Technologies and Applications
    Yonghong Chen, Hao Li, Han Li, Wenhao Liu, Yirui Wu, Qian Huang, Shaohua Wan · 2022 · Journal of Sensor and Actuator Networks
  23. DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
    Tuo Cao, Fei Luo, Yanping Fu, Wenxiao Zhang, Shengjie Zheng, Chunxia Xiao · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  24. DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation
    Fukun Yin, Zilong Huang, Tao Chen, Guozhong Luo, Gang Yu, Bin Fu · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
  25. Requirements and challenges for infusion of SHM systems within Digital Twin platforms
    Rolando Chacón, Joan Ramon Casas, Carlos Ramonell, Hector Posada, Irina Stipanović, Sandra Škarić Palić · 2023 · Structure and Infrastructure Engineering
  26. SPCGC: Scalable Point Cloud Geometry Compression for Machine Vision
    Liang Xie, Wei Gao, Huiming Zheng, Ge Li · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  27. GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
    Mustafa Munir, William Avery, Md. Mostafijur Rahman, Radu Mărculescu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  28. ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
    Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma · 2024 · Lecture notes in computer science
  29. High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization
    Swaminathan Gurumurthy, Shubham Agrawal · 2019 · IEEE Winter Conference on Applications of Computer Vision
  30. Transfer Learning in urban object classification: Online images to recognize point clouds
    Jesús Balado, Ricardo Teixeira Sousa, Lucía Díaz-Vilariño, Pedro Arias · 2019 · Automation in Construction
  31. Learning Part Boundaries from 3D Point Clouds
    Marios Loizou, Melinos Averkiou, Evangelos Kalogerakis · 2020 · Computer Graphics Forum
  32. Automatic LIDAR building segmentation based on DGCNN and euclidean clustering
    Ahmad Gamal, Ari Wibisono, Satrio Bagus Wicaksono, Muhammad Alvin Abyan, Nur Hamid, Hanif Arief Wisesa, Wisnu Jatmiko, Ronny Ardhianto · 2020 · Journal Of Big Data
  33. BuildingNet: Learning to Label 3D Buildings
    Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria I. Maslioukova, Melinos Averkiou, Andreas S. Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  34. Training Graph Neural Networks with 1000 Layers
    Guohao Li, Müller, Matthias, Bernard Ghanem, Vladlen Koltun · 2021 · arXiv (Cornell University)
  35. The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
    Gregor Kasieczka, B. Nachman, David Shih, O. Amram, A. Andreassen, K. Benkendorfer, Blaž Bortolato, G. Brooijmans, F. Canelli, J. Collins et al. · 2021 · Reports on progress in physics. Physical Society
  36. Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network
    Peiran Zhao, Haiyan Guan, Dilong Li, Yongtao Yu, Hanyun Wang, Kyle Gao, José Marcato, Jonathan Li · 2021 · International Journal of Applied Earth Observation and Geoinformation
  37. DcTr: Noise-robust point cloud completion by dual-channel transformer with cross-attention
    Ben Fei, Weidong Yang, Lipeng Ma, Wenming Chen · 2022 · Pattern Recognition
  38. Dynamic graph transformer for 3D object detection
    Siyuan Ren, Xiao Pan, Wenjie Zhao, Binling Nie, Bo Han · 2022 · Knowledge-Based Systems
  39. ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
    Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang · 2022 · Lecture notes in computer science
  40. UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation
    Guoqing Yang, Fuyou Xue, Qi Zhang, Ke Xie, Chi‐Wing Fu, Hui Fei Huang · 2023 · ACM SIGGRAPH Conference (SIGGRAPH)
  41. CXTrack: Improving 3D Point Cloud Tracking with Contextual Information
    Tian-Xing Xu, Yuan-Chen Guo, Yu‐Kun Lai, Song–Hai Zhang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  42. Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
    Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu‐Tao Xia · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  43. Robust Partial-to-Partial Point Cloud Registration in a Full Range
    Liang Pan, Zhongang Cai, Zi-Wei Liu · 2021 · IEEE Robotics and Automation Letters
  44. Localization and Mapping for Self-Driving Vehicles: A Survey
    Anas Charroud, Karim El Moutaouakil, Vasile Palade, Ali Yahyaouy, Uche Onyekpe, Eyo Eyo · 2024 · Machines
  45. A review of point cloud segmentation for understanding 3D indoor scenes
    Yuliang Sun, Xudong Zhang, Yongwei Miao · 2024 · Visual Intelligence
  46. Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
    Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  47. Scan-to-BIM-to-Sim: Automated reconstruction of digital and simulation models from point clouds with applications on bridges
    Yunping Fang, Stergios-Aristoteles Mitoulis, Daniel Boddice, Jialiang Yu, Jelena Ninić · 2025 · Results in Engineering
  48. Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
    S.M. Moein Peyghambarzadeh, Fatemeh Azizmalayeri, Hassan Khotanlou, Amir Salarpour · 2019 · Digital Signal Processing
  49. Group Re-Identification With Group Context Graph Neural Networks
    Ji Zhu, Hua Yang, Weiyao Lin, Nian Liu, Jia Wang, Wenjun Zhang · 2020 · IEEE Transactions on Multimedia
  50. A Structured Graph Attention Network for Vehicle Re-Identification
    Yangchun Zhu, Zheng-Jun Zha, Tianzhu Zhang, Jiawei Liu, Jiebo Luo · 2020 · ACM International Conference on Multimedia (ACM MM)
  51. Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
    Ruixuan Yu, Xin Wei, Federico Tombari, Jian Zhong Sun · 2020 · Lecture notes in computer science
  52. Learning physical properties of anomalous random walks using graph neural networks
    Hippolyte Verdier, Maxime Duval, François Laurent, Alhassan Cassé, Christian L. Vestergaard, Jean‐Baptiste Masson · 2021 · Journal of Physics A Mathematical and Theoretical
  53. HSGAN: Hierarchical Graph Learning for Point Cloud Generation
    Yushi Li, George Baciu · 2021 · IEEE Transactions on Image Processing
  54. 3D as-built modeling from incomplete point clouds using connectivity relations
    Hyunsoo Kim, Changwan Kim · 2021 · Automation in Construction
  55. CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
    Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao et al. · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  56. Deep Point Set Resampling via Gradient Fields
    Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  57. Graph Neural Networks for low-energy event classification & reconstruction in IceCube
    R. Abbasi, M. Ackermann, Jenni Adams, N. Aggarwal, J. A. Aguilar, M. Ahlers, M. Ahrens, Jean-Marco Alameddine, Antonio Augusto Alves Junior, N. M. Amin et al. · 2022 · Journal of Instrumentation
  58. Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis
    Xin Wei, Ruixuan Yu, Jian Zhong Sun · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  59. Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms
    Wenxia Dai, Hongyang Kan, Renchun Tan, Bisheng Yang, Qingfeng Guan, Ningning Zhu, Wen Xiao, Zhen Dong · 2022 · International Journal of Applied Earth Observation and Geoinformation
  60. Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
    Axel Berg, Magnus Oskarsson, Mark O'Connor · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  61. Graph neural networks at the Large Hadron Collider
    G. Dezoort, Peter Battaglia, C. Biscarat, Jean-Roch Vlimant · 2023 · Nature Reviews Physics
  62. HGNet: Learning Hierarchical Geometry from Points, Edges, and Surfaces
    Ting Yao, Yehao Li, Yingwei Pan, Tao Mei · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  63. Robust multi-task learning network for complex LiDAR point cloud data preprocessing
    Luda Zhao, Yihua Hu, Xing Yang, Zhenglei Dou, Linshuang Kang · 2023 · Expert Systems with Applications
  64. TNPC: Transformer-based network for point cloud classification
    Wei Zhou, Yiheng Zhao, Yi Xiao, Xuanlin Min, Jun Yi · 2023 · Expert Systems with Applications
  65. CGAM: An end-to-end causality graph attention Mamba network for esophageal pathology grading
    Yingbo Qu, Xiangli Zhou, Pan Huang, Yanan Liu, Francesco Mercaldo, Antonella Santone, Xixiang Deng · 2025 · Biomedical Signal Processing and Control
  66. A structure‐oriented loss function for automated semantic segmentation of bridge point clouds
    Chao Lin, Shuhei Abe, Shitao Zheng, Xianfeng Li, Pang‐jo Chun · 2025 · Computer-Aided Civil and Infrastructure Engineering
  67. Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey
    Kun Shi, Shibo He, Zhenyu Shi, Chen An-jun, Zehui Xiong, Jiming Chen, Jun Luo · 2025 · IEEE Communications Surveys & Tutorials
  68. 3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds
    Ali Cheraghian, Lars Petersson · 2019 · IEEE Winter Conference on Applications of Computer Vision
  69. Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions
    Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Miller, Rui Wang, Subhransu Maji · 2020 · Lecture notes in computer science
  70. Neural Implicit Embedding for Point Cloud Analysis
    Kent Fujiwara, Taiichi Hashimoto · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep Learning Method
    Elyta Widyaningrum, Qian Bai, M. K. Fajari, Roderik Lindenbergh · 2021 · Remote Sensing
  72. A spatial-temporal gated attention module for molecular property prediction based on molecular geometry
    Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng · 2021 · Briefings in Bioinformatics
  73. D2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images
    Manyi Li, Hao Zhang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  74. A Comparison of Deep Learning Methods for Airborne Lidar Point Clouds Classification
    Nan Li, Olaf Kähler, Norbert Pfeifer · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  75. Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
    Shuang Deng, Qiulei Dong, Бо Лю, Zhanyi Hu · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  76. Deep Graph Reprogramming
    Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  77. RoCNet++: Triangle-based descriptor for accurate and robust point cloud registration
    Karim Slimani, Catherine Achard, Brahim Tamadazte · 2023 · Pattern Recognition
  78. PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer
    Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  79. ForestSemantic: a dataset for semantic learning of forest from close-range sensing
    Xinlian Liang, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, Juha M. Hyyppa · 2024 · Geo-spatial Information Science
  80. Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds
    Frederik Hagelskjær, Anders Glent Buch · 2020 · Proceedings - International Conference on Image Processing
  81. A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs
    Yujiao Hu, Zhen Zhang, Yuan Yao, Xingpeng Huyan, Xingshe Zhou, Wee Sun Lee · 2020 · Engineering Applications of Artificial Intelligence
  82. Semantics-guided reconstruction of indoor navigation elements from 3D colorized points
    Juntao Yang, Zhizhong Kang, Liping Zeng, Perpetual Hope Akwensi, Monika Sester · 2021 · ISPRS Journal of Photogrammetry and Remote Sensing
  83. Occlusion Guided Scene Flow Estimation on 3D Point Clouds
    Bojun Ouyang, Dan Raviv · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  84. AN EFFICIENT DEEP LEARNING APPROACH FOR GROUND POINT FILTERING IN AERIAL LASER SCANNING POINT CLOUDS
    Abdul Nurunnabi, Felix Norman Teferle, Jonathan Li, Roderik Lindenbergh, Addisu Hunegnaw · 2021 · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  85. Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors
    Yunchun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  86. Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation
    Yunxiang Zhou, Ankang Ji, Limao Zhang, Xiaolong Xue · 2022 · Engineering Applications of Artificial Intelligence
  87. Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling
    Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong · 2024 · Remote Sensing
  88. Artificial intelligence approaches to human-microbiome protein–protein interactions
    Lim, Hansaim, Cankara, Fatma, Tsai, Chung-Jung, Keskin, Ozlem, Nussinov, Ruth, Gursoy, Attila · 2022 · Current Opinion in Structural Biology
  89. Real-time 3D reconstruction techniques applied in dynamic scenes: A systematic literature review
    Anupama K. Ingale, J. Divya Udayan · 2020 · Computer Science Review
  90. 3CROSSNet: Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
    Xian-Feng Han, Zhang-Yue He, Jia Chen, Guoqiang Xiao · 2022 · IEEE Robotics and Automation Letters
  91. Point cloud registration and localization based on voxel plane features
    Jianwei Li, Jiawang Zhan, Ting Zhou, Virgílio A. Bento, Qianfeng Wang · 2022 · ISPRS Journal of Photogrammetry and Remote Sensing
  92. IntentVizor: Towards Generic Query Guided Interactive Video Summarization
    Guande Wu, Jianzhe Lin, Claudio T. Silva · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  93. Progressive Neighbor Consistency Mining for Correspondence Pruning
    Xin Liu, Jufeng Yang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  94. Urban Tree Species Classification Using UAV-Based Multispectral Images and LiDAR Point Clouds
    Xiaofan Li, Lanying Wang, Haiyan Guan, Ke Chen, Yufu Zang, Yongtao Yu · 2023 · Journal of Geovisualization and Spatial Analysis
  95. Deep learning-based tooth segmentation methods in medical imaging: A review
    Xiaokang Chen, Nan Ma, Tongkai Xu, Cheng Xu · 2024 · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  96. PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics
    Ariyan Zarei, Bosheng Li, James C. Schnable, Eric H. Lyons, Duke Pauli, Kobus Barnard, Bedřich Beneš · 2024 · Computers and Electronics in Agriculture
  97. Human-computer interactive rehabilitation: A 3D graph deep learning method for non-contact gesture recognition in post-epidemic and aging societies
    Zhizhong Xing, Zhijun Meng, Gengfeng Zheng, Lin Yang, Xiaojun Guo, Li Tan, Yuanqiu Jiang · 2025 · Measurement
  98. PCT: Large-Scale 3d Point Cloud Representations Via Graph Inception Networks with Applications to Autonomous Driving
    Siheng Chen, Sufeng Niu, Tian Lan, Baoan Liu · 2019 · Proceedings - International Conference on Image Processing
  99. Attention-Based Dense Point Cloud Reconstruction From a Single Image
    Qiang Lü, Mingjie Xiao, Yiyang Lu, Xiaohui Yuan, Ye Yu · 2019 · IEEE Access
  100. Predicting Patient Outcomes with Graph Representation Learning
    Tong, Catherine, Rocheteau, Emma, Veličković, Petar, Lane, Nicholas, Liò, Pietro · 2022 · Studies in Computational Intelligence