Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos-Reference-Cited by-同舟云学术

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Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Fan Hehe,Yang Yi,Kankanhalli Mohan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09578674.pdf?arnumber=9578674

Cited by 110 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TSG-Seg: Temporal-selective guidance for semi-supervised semantic segmentation of 3D LiDAR point clouds;ISPRS Journal of Photogrammetry and Remote Sensing;2024-10

2. A 28-nm Energy-Efficient Sparse Neural Network Processor for Point Cloud Applications Using Block-Wise Online Neighbor Searching;IEEE Journal of Solid-State Circuits;2024-09

3. 4D point cloud-based spatial-temporal semantic registration for monitoring mobile crane construction activities;Automation in Construction;2024-09

4. Compressed point cloud classification with point-based edge sampling;EURASIP Journal on Image and Video Processing;2024-08-07

5. PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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