Dynamic Graph CNN for Learning on Point Clouds

Cited by (1,006)

Items 301–400 of 1,006

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2. Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
   Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin · 2020 · arXiv (Cornell University)
3. Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification
   Congcong Wen, Lina Yang, Li Xiang, Ling Peng, Tianhe Chi · 2020 · ISPRS Journal of Photogrammetry and Remote Sensing
4. SAT-GCN: Self-attention graph convolutional network-based 3D object detection for autonomous driving
   Li Wang, Ziying Song, Xinyu Zhang, Chenfei Wang, Guoxin Zhang, Lei Zhu, Jun Li, Huaping Liu · 2022 · Knowledge-Based Systems
5. Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
   Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
6. Knowledge Embedding Based Graph Convolutional Network
   Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu · 2021 · International World Wide Web Conference (WWW)
7. PointHop: An Explainable Machine Learning Method for Point Cloud Classification
   Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo · 2020 · IEEE Transactions on Multimedia
8. Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network
   Jinjun Tang, Jian Liang, Fang Liu, Jingjing Hao, Yinhai Wang · 2021 · Transportation Research Part C Emerging Technologies
9. Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification
   Changqin Huang, Fan Jiang, Qionghao Huang, Xizhe Wang, Zhongmei Han, Weiyu Huang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
10. Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
    Qiao, Siyuan, Wang, Huiyu, Liu, Chenxi, Shen, Wei, Yuille, Alan · 2019 · arXiv
11. JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
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12. ECG: Edge-aware Point Cloud Completion with Graph Convolution
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13. 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
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14. Geometry-Aware Generation of Adversarial Point Clouds
    Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
15. Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation
    Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
16. Starting from Non-Parametric Networks for 3D Point Cloud Analysis
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17. FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
    Zhijian Liu, Xinyu Yang, Haotian Tang, Yang Shang, Song Han · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
18. 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
    Deng, Shengheng, Xu, Xun, Wu, Chaozheng, Chen, Ke, Jia, Kui · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
19. Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
    Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
20. PVT: Point‐voxel transformer for point cloud learning
    Cheng Zhang, Haocheng Wan, Xinyi Shen, Zizhao Wu · 2022 · International Journal of Intelligent Systems
21. SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
    Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
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23. Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition
    Andrew R. Colligan, Trevor Robinson, Declan Nolan, Hua Yang, Weijuan Cao · 2022 · Computer-Aided Design
24. Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis
    Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang, Weijun Li, Xiao Ping Bai · 2022 · IEEE Transactions on Geoscience and Remote Sensing
25. Meta Architecture for Point Cloud Analysis
    Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
26. SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
    Huan Lei, Naveed Akhtar, Ajmal Saeed Mian · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
27. Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques
    Yusheng Xu, Uwe Stilla · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
28. Semantic segmentation of bridge components based on hierarchical point cloud model
    Jun Sian Lee, Jeongjun Park, Young-Moo Ryu · 2021 · Automation in Construction
29. SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
    Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham · 2022 · International Journal of Computer Vision
30. Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space
    Yahui Liu, Bin Wang, Yi-Sheng Lv, Lingxi Li, Fei Wang · 2023 · IEEE/CAA Journal of Automatica Sinica
31. MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
    Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun Hui He, Quan Fa Zhou, Guangtao Zhai · 2023 · International Joint Conference on Artificial Intelligence
32. LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
    Chuanfu Shen, Chao Fan, Wei Hong Wu, Rui Wang, George Q. Huang, Shiqi Yu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
33. Understanding over-squashing and bottlenecks on graphs via curvature
    Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein · 2021 · arXiv (Cornell University)
34. Cascade Graph Neural Networks for RGB-D Salient Object Detection
    Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu · 2020 · Lecture notes in computer science
35. PointCutMix: Regularization strategy for point cloud classification
    Jinlai Zhang, Lyujie Chen, Bo Ouyang, Binbin Liu, Jihong Zhu, Yujin Chen, Yanmei Meng, Danfeng Wu · 2022 · Neurocomputing
36. InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
    Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, Shuguang Robert Cui · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
37. NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation
    Zhicheng Zhou, Cheng Zhao, Daniel Adolfsson, Songzhi Su, Yang Gao, Tom Duckett, Li Sun · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
38. Dynamic Points Agglomeration for Hierarchical Point Sets Learning
    Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang, Qi Chuan Tian · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
39. Bidirectional Projection Network for Cross Dimension Scene Understanding
    Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien‐Tsin Wong · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
40. Point Cloud Denoising Review: From Classical to Deep Learning-Based Approaches
    Lang Zhou, Guoxing Sun, Yong Li, Weiqing Li, Zhiyong Su · 2021 · Graphical Models
41. A survey on deep geometry learning: From a representation perspective
    Yunpeng Xiao, Yu‐Kun Lai, Fang‐Lue Zhang, Chunpeng Li, Lin Gao · 2020 · Computational Visual Media
42. DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
    Juan Du, Rui Wang, Daniel Cremers · 2020 · Lecture notes in computer science
43. Attention-Based Point Cloud Edge Sampling
    Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Dual Transformer for Point Cloud Analysis
    Xian-Feng Han, Y. J. Jin, Hui-Xian Cheng, Guoqiang Xiao · 2022 · IEEE Transactions on Multimedia
45. Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
    Yachao Zhang, Zonghao Chris Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
46. Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
    Siyuan Yang, Jun Liu, Shijian Lu, M.H. Er, Alex Chichung Kot · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
47. Deep learning-based perception systems for autonomous driving: A comprehensive survey
    Lihua Wen, Kang-Hyun Jo · 2022 · Neurocomputing
48. A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving
    S. Y. Alaba, John E. Ball · 2022 · Italian National Conference on Sensors
49. SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
    Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee · 2022 · Lecture notes in computer science
50. Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection
    Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
51. Advancements in point cloud data augmentation for deep learning: A survey
    Qinfeng Zhu, Lei Fan, Ningxin Weng · 2024 · Pattern Recognition
52. Complex-YOLO: Real-time 3D Object Detection on Point Clouds
    Martín Simón, Stefan Milz, Karl Amende, Horst–Michael Groß · 2018 · arXiv (Cornell University)
53. MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
    Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
54. Self-Supervised Learning of Point Clouds via Orientation Estimation
    Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim · 2020 · International Conference on 3D Vision (3DV)
55. HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization
    Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
56. Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
    Le Hui, Mingmei Cheng, Jin Xie, Jian Yang, Ming-Ming Cheng · 2022 · IEEE Transactions on Image Processing
57. 3D Semantic Scene Completion: A Survey
    Luis Roldão, Raoul de Charette, Anne Verroust-Blondet · 2022 · International Journal of Computer Vision
58. Holistic 3D Scene Understanding from a Single Image with Implicit Representation
    Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
59. A Deeper Look at 3D Shape Classifiers
    Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji · 2019 · Lecture notes in computer science
60. Review of simultaneous localization and mapping (SLAM) for construction robotics applications
    Andrew Yarovoi, Yong K. Cho · 2024 · Automation in Construction
61. Joint 3D Instance Segmentation and Object Detection for Autonomous Driving
    Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
62. PointMixer: MLP-Mixer for Point Cloud Understanding
    Jaesung Choe, Chunghyun Park, François Rameau, Jaesik Park, In So Kweon · 2022 · Lecture notes in computer science
63. A critical review of discontinuity plane extraction from 3D point cloud data of rock mass surfaces
    Hamid Daghigh, Dwayne D. Tannant, Vahid Daghigh, Derek D. Lichti, Roderik Lindenbergh · 2022 · Computers & Geosciences
64. MVImgNet: A Large-scale Dataset of Multi-view Images
    Xianggang Yu, Mutian Xu, Yidan Zhang, Haolin Liu, Chongjie Ye, Yushuang Wu, Zizheng Yan, Chenming Zhu, Zhangyang Xiong, Tianyou Liang et al. · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
65. Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
    Francis Engelmann, Theodora Kontogianni, Bastian Leibe · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
66. The Machine Learning landscape of top taggers
    Gregor Kasieczka, Tilman Plehn, L. Gouskos, Jernej F. Kamenik, Patrick Komiske, S Leiss, Alison LISTER, Sebastian Macaluso, Eric M. Metodiev, Liam Moore et al. · 2019 · RWTH Publications (RWTH Aachen)
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    Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Jay Gould et al. · 2020 · Foundations and Trends in Robotics
68. Aspect-level sentiment analysis: A survey of graph convolutional network methods
    Huyen Trang Phan, Ngoc Thanh Nguyên, Dosam Hwang · 2022 · Information Fusion
69. PointVector: A Vector Representation In Point Cloud Analysis
    Xin Deng, Wenyu Zhang, Qing Wei Ding, Xinming Zhang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. MGSFA-Net: Multiscale Global Scattering Feature Association Network for SAR Ship Target Recognition
    Xianghui Zhang, Sijia Feng, Chenxi Zhao, Zhongzhen Sun, Siqian Zhang, Kefeng Ji · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
71. SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds
    Xinghao Chen, Guijin Wang, Cairong Zhang, Tae‐Kyun Kim, Xiangyang Ji · 2018 · IEEE Access
72. Graph neural network-accelerated Lagrangian fluid simulation
    Zijie Li, Amir Barati Farimani · 2022 · Computers & Graphics
73. How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
    Negin Harandi, Breght Vandenberghe, J. Vankerschaver, Stephen Depuydt, Arnout Van Messem · 2018 · Plant Methods
74. LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
    Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, Nenghai Yu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
75. Advances of machine learning in materials science: Ideas and techniques
    Sue Sin Chong, Yi Sheng Ng, Hui‐Qiong Wang, Jin‐Cheng Zheng · 2023 · Frontiers of Physics
76. KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components
    Bin Zhou, Jinsong Bao, Zhiyu Chen, Yahui Liu · 2021 · International Journal of Computer Integrated Manufacturing
77. Multi-directional geodesic neural networks via equivariant convolution
    Adrien Poulenard, Maks Ovsjanikov · 2018 · ACM Transactions on Graphics
78. Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels
    Adrien Poulenard, Marie‐Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov · 2019 · International Conference on 3D Vision (3DV)
79. Progressive Correspondence Pruning by Consensus Learning
    Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
80. ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer
    Shanshan Li, Pan Gao, Xiaoyang Tan, Mingqiang Wei · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
81. View-Guided Point Cloud Completion
    Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao, Yandong Guo, Yue Gao · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
82. Deep Learning on Graphs
    Yao Ma, Jiliang Tang · 2021 · Cambridge University Press eBooks
83. Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
    Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma · 2021 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
84. Sewer defect detection from 3D point clouds using a transformer-based deep learning model
    Yunxiang Zhou, Ankang Ji, Limao Zhang · 2022 · Automation in Construction
85. Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
    Yun He, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
86. A Rotation-Invariant Framework for Deep Point Cloud Analysis
    Xianzhi Li, Ruihui Li, Guangyong Chen, Chi‐Wing Fu, Daniel Cohen‐Or, Pheng‐Ann Heng · 2021 · IEEE Transactions on Visualization and Computer Graphics
87. Airborne LiDAR point cloud classification with global-local graph attention convolution neural network
    Congcong Wen, Li Xiang, Xiaojing Yao, Ling Peng, Tianhe Chi · 2021 · ISPRS Journal of Photogrammetry and Remote Sensing
88. SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
    Mingmei Cheng, Le Hui, Jin Xie, Jian Jun Yang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
89. Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation
    Hui Shuai, Xiang Xu, Qingshan Liu · 2021 · IEEE Transactions on Image Processing
90. Introduction to Graph Neural Networks
    Zhiyuan Liu, Jie Zhou · 2020 · Synthesis lectures on artificial intelligence and machine learning
91. Deep learning-based 3D reconstruction of scaffolds using a robot dog
    Juhyeon Kim, Duho Chung, Yo-Han Kim, Hyoungkwan Kim · 2021 · Automation in Construction
92. Lidar Point Cloud Compression, Processing and Learning for Autonomous Driving
    Rashid Abbasi, Ali Kashif Bashir, Hasan J. Alyamani, Farhan Amin, Jaehyeok Doh, Jianwen Chen · 2022 · IEEE Transactions on Intelligent Transportation Systems
93. RGCNN: Regularized Graph CNN for Point Cloud Segmentation
    Gusi Te, Wei Hu, Zongming Guo, Amin Zheng · 2018 · arXiv (Cornell University)
94. PointConv: Deep Convolutional Networks on 3D Point Clouds
    Wenxuan Wu, Zhongang Qi, Fuxin Li · 2018 · arXiv (Cornell University)
95. FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
    Krispel, Georg, Opitz, Michael, Waltner, Georg, Possegger, Horst, Bischof, Horst · 2020 · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
96. IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
    Yang, Xi, Xia, Ding, Kin, Taichi, Igarashi, Takeo · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
97. ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
    Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
98. A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
    Sushmita Sarker, Prithul Sarker, Gunner Stone, Ryan Gorman, Alireza Tavakkoli, George N. Bebis, Javad Sattarvand · 2024 · Machine Vision and Applications
99. PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
    Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, Mohan Kankanhalli · 2022 · arXiv (Cornell University)
100. Global Context Reasoning for Semantic Segmentation of 3D Point Clouds
     Yanni Ma, Yulan Guo, Hao Liu, Yinjie Lei, Gongjian Wen · 2020 · IEEE Winter Conference on Applications of Computer Vision