PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Articles citing PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Title / Author	Year
Inductive representation learning on large graphs W Hamilton, Z Ying, J Leskovec Advances in neural information processing systems, 1024-1034	2017
Pointnet++: Deep hierarchical feature learning on point sets in a metric space CR Qi, L Yi, H Su, LJ Guibas Advances in neural information processing systems, 5099-5108	2017
Voxelnet: End-to-end learning for point cloud based 3d object detection Y Zhou, O Tuzel Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Dynamic graph cnn for learning on point clouds Y Wang, Y Sun, Z Liu, SE Sarma, MM Bronstein, JM Solomon Acm Transactions On Graphics (tog) 38 (5), 1-12	2019
Frustum pointnets for 3d object detection from rgb-d data CR Qi, W Liu, C Wu, H Su, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …	2018
How powerful are graph neural networks? K Xu, W Hu, J Leskovec, S Jegelka arXiv preprint arXiv:1810.00826	2018
A review on deep learning techniques applied to semantic segmentation A Garcia-Garcia, S Orts-Escolano, S Oprea, V Villena-Martinez, ... arXiv preprint arXiv:1704.06857	2017
Graph neural networks: A review of methods and applications J Zhou, G Cui, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun arXiv preprint arXiv:1812.08434	2018
Escape from cells: Deep kd-networks for the recognition of 3d point cloud models R Klokov, V Lempitsky Proceedings of the IEEE International Conference on Computer Vision, 863-872	2017
O-cnn: Octree-based convolutional neural networks for 3d shape analysis PS Wang, Y Liu, YX Guo, CY Sun, X Tong ACM Transactions on Graphics (TOG) 36 (4), 1-11	2017
Deep learning in mobile and wireless networking: A survey C Zhang, P Patras, H Haddadi IEEE Communications Surveys & Tutorials 21 (3), 2224-2287	2019
Social gan: Socially acceptable trajectories with generative adversarial networks A Gupta, J Johnson, L Fei-Fei, S Savarese, A Alahi Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Joint 3d proposal generation and object detection from view aggregation J Ku, M Mozifian, J Lee, A Harakeh, SL Waslander 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …	2018
Pointcnn: Convolution on x-transformed points Y Li, R Bu, M Sun, W Wu, X Di, B Chen Advances in neural information processing systems, 820-830	2018
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs M Tatarchenko, A Dosovitskiy, T Brox Proceedings of the IEEE International Conference on Computer Vision, 2088-2096	2017
So-net: Self-organizing network for point cloud analysis J Li, BM Chen, G Hee Lee Proceedings of the IEEE conference on computer vision and pattern …	2018
A papier-mâché approach to learning 3d surface generation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the IEEE conference on computer vision and pattern …	2018
Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International journal of computer vision 128 (2), 261-318	2020
Large-scale point cloud semantic segmentation with superpoint graphs L Landrieu, M Simonovsky Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Neural 3d mesh renderer H Kato, Y Ushiku, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018

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