3DInAction: Understanding Human Actions in 3D Point Clouds
Fuente:
arXiv
Saved in:
| Main Authors: | Ben-Shabat, Yizhak, Shrout, Oren, Gould, Stephen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GraVoS: Voxel Selection for 3D Point-Cloud Detection
by: Shrout, Oren, et al.
Published: (2022)
by: Shrout, Oren, et al.
Published: (2022)
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
by: Shrout, Oren, et al.
Published: (2023)
by: Shrout, Oren, et al.
Published: (2023)
VI3NR: Variance Informed Initialization for Implicit Neural Representations
by: Koneputugodage, Chamin Hewa, et al.
Published: (2025)
by: Koneputugodage, Chamin Hewa, et al.
Published: (2025)
Neural Experts: Mixture of Experts for Implicit Neural Representations
by: Ben-Shabat, Yizhak, et al.
Published: (2024)
by: Ben-Shabat, Yizhak, et al.
Published: (2024)
SFMNet: Sparse Focal Modulation for 3D Object Detection
by: Shrout, Oren, et al.
Published: (2025)
by: Shrout, Oren, et al.
Published: (2025)
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
by: Zhang, Jiahao, et al.
Published: (2023)
by: Zhang, Jiahao, et al.
Published: (2023)
Temporally Grounding Instructional Diagrams in Unconstrained Videos
by: Zhang, Jiahao, et al.
Published: (2024)
by: Zhang, Jiahao, et al.
Published: (2024)
RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation
by: Zhang, Jiahao, et al.
Published: (2026)
by: Zhang, Jiahao, et al.
Published: (2026)
KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition
by: Chen, Zhaoyu, et al.
Published: (2024)
by: Chen, Zhaoyu, et al.
Published: (2024)
Concept Retrieval -- What and How?
by: Nizan, Ori, et al.
Published: (2025)
by: Nizan, Ori, et al.
Published: (2025)
Human Action Recognition from Point Clouds over Time
by: Dickens, James
Published: (2025)
by: Dickens, James
Published: (2025)
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
by: He, Shenglin, et al.
Published: (2024)
by: He, Shenglin, et al.
Published: (2024)
Point Cloud Quantization through Multimodal Prompting for 3D Understanding
by: Li, Hongxuan, et al.
Published: (2025)
by: Li, Hongxuan, et al.
Published: (2025)
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
by: Sun, Hongyu, et al.
Published: (2024)
by: Sun, Hongyu, et al.
Published: (2024)
Point-Supervised Skeleton-Based Human Action Segmentation
by: Wang, Hongsong, et al.
Published: (2026)
by: Wang, Hongsong, et al.
Published: (2026)
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding
by: Qian, Guocheng, et al.
Published: (2022)
by: Qian, Guocheng, et al.
Published: (2022)
Enhanced Sparse Point Cloud Data Processing for Privacy-aware Human Action Recognition
by: Tunau, Maimunatu, et al.
Published: (2025)
by: Tunau, Maimunatu, et al.
Published: (2025)
Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding
by: Mei, Guofeng, et al.
Published: (2023)
by: Mei, Guofeng, et al.
Published: (2023)
Foundation Model for Skeleton-Based Human Action Understanding
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
by: Xu, Ming, et al.
Published: (2024)
by: Xu, Ming, et al.
Published: (2024)
Less is More: Improving Motion Diffusion Models with Sparse Keyframes
by: Bae, Jinseok, et al.
Published: (2025)
by: Bae, Jinseok, et al.
Published: (2025)
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
by: Liu, Keyi, et al.
Published: (2024)
by: Liu, Keyi, et al.
Published: (2024)
Task-Oriented Communication for Human Action Understanding via Edge-Cloud Co-Inference
by: Liu, Jingyi, et al.
Published: (2026)
by: Liu, Jingyi, et al.
Published: (2026)
Egocentric Action-aware Inertial Localization in Point Clouds with Vision-Language Guidance
by: Zhang, Mingfang, et al.
Published: (2025)
by: Zhang, Mingfang, et al.
Published: (2025)
SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation
by: Athanasiou, Nikos, et al.
Published: (2023)
by: Athanasiou, Nikos, et al.
Published: (2023)
SPiKE: 3D Human Pose from Point Cloud Sequences
by: Ballester, Irene, et al.
Published: (2024)
by: Ballester, Irene, et al.
Published: (2024)
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
by: Kang, Jiachen, et al.
Published: (2023)
by: Kang, Jiachen, et al.
Published: (2023)
Age-Inclusive 3D Human Mesh Recovery for Action-Preserving Data Anonymization
by: Chatzichristodoulou, Georgios, et al.
Published: (2025)
by: Chatzichristodoulou, Georgios, et al.
Published: (2025)
StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion
by: Guo, Ziyu, et al.
Published: (2025)
by: Guo, Ziyu, et al.
Published: (2025)
Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
by: Wen, Di, et al.
Published: (2025)
by: Wen, Di, et al.
Published: (2025)
3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding
by: Xia, Zhongyu, et al.
Published: (2026)
by: Xia, Zhongyu, et al.
Published: (2026)
Social 3D Scene Graphs: Modeling Human Actions and Relations for Interactive Service Robots
by: Bartoli, Ermanno, et al.
Published: (2025)
by: Bartoli, Ermanno, et al.
Published: (2025)
A Unified Framework for Human-centric Point Cloud Video Understanding
by: Xu, Yiteng, et al.
Published: (2024)
by: Xu, Yiteng, et al.
Published: (2024)
Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds
by: Jung, Daniel Sungho, et al.
Published: (2026)
by: Jung, Daniel Sungho, et al.
Published: (2026)
Action-Dynamics Modeling and Cross-Temporal Interaction for Online Action Understanding
by: Yang, Xinyu, et al.
Published: (2025)
by: Yang, Xinyu, et al.
Published: (2025)
DM3D: Deformable Mamba via Offset-Guided Differentiable Scanning for Point Cloud Understanding
by: Liu, Bin, et al.
Published: (2025)
by: Liu, Bin, et al.
Published: (2025)
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
by: Sohail, Shahab Saquib, et al.
Published: (2024)
by: Sohail, Shahab Saquib, et al.
Published: (2024)
3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework
by: Zhang, Fan, et al.
Published: (2024)
by: Zhang, Fan, et al.
Published: (2024)
Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding
by: Liu, Liwen, et al.
Published: (2025)
by: Liu, Liwen, et al.
Published: (2025)
PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction
by: Chen, Shizhe, et al.
Published: (2026)
by: Chen, Shizhe, et al.
Published: (2026)
Similar Items
-
GraVoS: Voxel Selection for 3D Point-Cloud Detection
by: Shrout, Oren, et al.
Published: (2022) -
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
by: Shrout, Oren, et al.
Published: (2023) -
VI3NR: Variance Informed Initialization for Implicit Neural Representations
by: Koneputugodage, Chamin Hewa, et al.
Published: (2025) -
Neural Experts: Mixture of Experts for Implicit Neural Representations
by: Ben-Shabat, Yizhak, et al.
Published: (2024) -
SFMNet: Sparse Focal Modulation for 3D Object Detection
by: Shrout, Oren, et al.
Published: (2025)