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Keyword

PointNet

Description: A deep neural network architecture that processes unordered three-dimensional point clouds for tasks such as object classification and detection.
OpenAlex ID: keywords/pointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
2017 · Qi, Charles R., Yi, Li, et al. · arXiv (Cornell University) · 9,447
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2017 · R. Qi Charles, Hao Su, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 9,400
PointPillars: Fast Encoders for Object Detection From Point Clouds
2019 · Alex H. Lang, Sourabh Vora, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4,652
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2016 · Qi, Charles R., Su, Hao, et al. · arXiv (Cornell University) · 2,930
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Frustum PointNets for 3D Object Detection from RGB-D Data
2018 · Charles R. Qi, Wei Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,653
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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
2020 · Shaoshuai Shi, Chaoxu Guo, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,334
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FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
2018 · Yaoqing Yang, Chen Feng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,365
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PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
2019 · Yasuhiro Aoki, Hunter Goforth, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 897
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PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
2018 · Danfei Xu, Dragomir Anguelov, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 851
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PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
2018 · Mikaela Angelina Uy, Gim Hee Lee · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 686
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PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
2018 · Haowen Deng, Tolga Birdal, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 631
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PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
2022 · Qian, Guocheng, Li, Yuchen, et al. · arXiv (Cornell University) · 554
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Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
2018 · Yiru Shen, Chen Feng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 553
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PointNetGPD: Detecting Grasp Configurations from Point Sets
2019 · Hongzhuo Liang, Xiaojian Ma, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 415
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Local Spectral Graph Convolution for Point Set Feature Learning
2018 · Chu Wang, Babak Samari, et al. · Lecture notes in computer science · 406
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PCPN et Learning Local Shape Properties from Raw Point Clouds
2018 · Paul Guerrero, Yanir Kleiman, et al. · Computer Graphics Forum · 386
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Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
2019 · Xinzhu Ma, Zhihui Wang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 331
Generating 3D Adversarial Point Clouds
2019 · Chong Xiang, Charles R. Qi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 331
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Point-Voxel CNN for Efficient 3D Deep Learning
2019 · Liu, Zhijian, Tang, Haotian, et al. · arXiv (Cornell University) · 323
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PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
2018 · Jiang, Mingyang, Wu, Yiran, et al. · arXiv (Cornell University) · 317
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Hand PointNet: 3D Hand Pose Estimation Using Point Sets
2018 · Liuhao Ge, Yujun Cai, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 310
A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries
2021 · Ali Kashefi, Davis Rempe, et al. · Physics of Fluids · 308
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PointCloud Saliency Maps
2019 · Tianhang Zheng, Changyou Chen, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 256
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
2017 · Engelmann, Francis, Kontogianni, Theodora, et al. · RWTH Publications (RWTH Aachen) · 254
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions
2020 · Johanna Wald, Helisa Dhamo, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 245
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Works count: 2,251
Citation count: 60,230
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