3DInAction: Understanding Human Actions in 3D Point Clouds
Yizhak Ben-Shabat, Oren Shrout, Stephen Gould
2024Year
6Top-tier citations
Abstract
3dincaction Figure 1. t-patches for action recognition. We propose a new representation for dynamic 3D point clouds. Termed t-patches, these are locally evolving point cloud sets aggregated over time. Learning features over t-patches provides an improved temporal point cloud representation for action understanding.
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Install the CLIlune papers fulltext cbe9fba7-65fd-416e-b344-b4b6e16fb7a5Cited by top-tier papers6
- UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video ModelingPeiming Li, Ziyi Wang, Yulin Yuan, Hong Liu et al.ICCV 2025 · 3 citations
- Recognizing Actions From Robotic View for Natural Human-Robot InteractionZiyi Wang, Peiming Li, Hong Liu, Zhichao Deng et al.ICCV 2025 · 1 citation
- DarkAct: A RGB-Thermal Dataset and Fusion Framework for Multimodal Low-Light Action RecognitionYuanjun Tan, Aoran Xiao, Liqian Deng, Zhigang TuCVPR 2026 · 1 citation
- mmWaveFlow: Unified Enhancement and Generation of mmWave Human Point CloudsChang Su, Beihong Jin, Qiwen Shi, Zhi WangCVPR 2026
- CamPoint: Boosting Point Cloud Segmentation with Virtual CameraJianhui Zhang, Yizhi Luo, Zicheng Zhang, Xuecheng Nie et al.CVPR 2025
Builds on10
- SlowFast Networks for Video RecognitionChristoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming HeICCV 2019 · 4,104 citations
- Revisiting Skeleton-based Action RecognitionHaodong Duan, Yue Zhao, Kai Chen, Dahua Lin et al.CVPR 2022 · 752 citations
- Revisiting Point Cloud Shape Classification with a Simple and Effective BaselineAnkit Goyal, Hei Law, Bowei Liu, Alejandro Newell et al.ICML 2021 · 297 citations
- MeteorNet: Deep Learning on Dynamic 3D Point Cloud SequencesXingyu Liu, Mengyuan Yan, Jeannette BohgICCV 2019 · 225 citations
- PSTNet: Point Spatio-Temporal Convolution on Point Cloud SequencesHehe Fan, Xin Yu, Yuhang Ding, Yi Yang et al.ICLR 2021 · 148 citations
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