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Point cloud processing is a challenging task due to its sparsity and irregularity.
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Pointnetlk: Robust & efficient point cloud registration using pointnet. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7163–7172
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Point-voxel cnn for efficient 3d deep learning
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Kpconv: Flexible and deformable convolution for point clouds. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 6411–6420
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas. 2019 · 2019
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Point-gnn: Graph neural network for 3d object detection in a point cloud. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 1711–1719
Weijing Shi and Raj Rajkumar. 2020 · 2020
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Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5589–5598
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Teaser: Fast and certifiable point cloud registration
Heng Yang, Jingnan Shi, and Luca Carlone. 2020 · 2020
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Point cloud semantic scene segmentation based on coordinate convolution
Zhaoxuan Zhang, Kun Li, Xuefeng Yin, Xinglin Piao, Yuxin Wang, Xin Yang, and Baocai Yin. 2020 · 2020
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Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, and Jia Deng. 2021 · 2021
Closest in time.
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R Martin, and Shi-Min Hu. 2021 · 2021
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Dual Transformer for Point Cloud Analysis
Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, and Guo-Qiang Xiao. 2021 · 2021
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Dual-stream network for visual recognition
Mingyuan Mao, Renrui Zhang, Honghui Zheng, Peng Gao, Teli Ma, Yan Peng, Errui Ding, Baochang Zhang, and Shumin Han. 2021 · 2021
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Lidar point cloud guided monocular 3d object detection
Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, and Deng Cai. 2021 · 2021
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Resolution-robust Large Mask Inpainting with Fourier Convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky. 2021 · 2021
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Max-deeplab: End-to-end panoptic segmentation with mask transformers. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5463–5474
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen. 2021 · 2021
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PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3173–3182
Mutian Xu, Runyu Ding, Hengshuang Zhao, and Xiaojuan Qi. 2021 · 2021
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Point transformer. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 16259–16268
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun. 2021 · 2021
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