Cover Image

Human Action Recognition from Point Clouds over Time

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Dickens, James
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition
by: Chen, Zhaoyu, et al.
Published: (2024)

3DInAction: Understanding Human Actions in 3D Point Clouds
by: Ben-Shabat, Yizhak, et al.
Published: (2023)

Enhanced Sparse Point Cloud Data Processing for Privacy-aware Human Action Recognition
by: Tunau, Maimunatu, et al.
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)

Part Segmentation of Human Meshes via Multi-View Human Parsing
by: Dickens, James, et al.
Published: (2025)

A Real-Time Human Action Recognition Model for Assisted Living
by: Wang, Yixuan, et al.
Published: (2025)

Human Action Recognition without Human
by: Kataoka, Hirokatsu, et al.
Published: (2016)

OG-PCL: Efficient Sparse Point Cloud Processing for Human Activity Recognition
by: Yan, Jiuqi, et al.
Published: (2025)

Explore Human Parsing Modality for Action Recognition
by: Liu, Jinfu, et al.
Published: (2024)

GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling
by: Ren, Huantao, et al.
Published: (2024)

Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
by: Lin, Jinpeng, et al.
Published: (2024)

APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
by: Jung, Geunyoung, et al.
Published: (2026)

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition
by: Zou, Longkun, et al.
Published: (2025)

Human-Centric Transformer for Domain Adaptive Action Recognition
by: Lin, Kun-Yu, et al.
Published: (2024)

Active Generation Network of Human Skeleton for Action Recognition
by: Liu, Long, et al.
Published: (2024)

SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
by: Ren, Hongwei, et al.
Published: (2023)

Point-Supervised Skeleton-Based Human Action Segmentation
by: Wang, Hongsong, et al.
Published: (2026)

Egocentric Action-aware Inertial Localization in Point Clouds with Vision-Language Guidance
by: Zhang, Mingfang, et al.
Published: (2025)

HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud
by: Chen, Yifan, et al.
Published: (2023)

Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
by: Chen, Yan, et al.
Published: (2024)

T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
by: Yang, Zhiyuan, et al.
Published: (2024)

Single-View Scene Point Cloud Human Grasp Generation
by: Wang, Yan-Kang, et al.
Published: (2024)

Human Action Recognition in Still Images Using ConViT
by: Hosseyni, Seyed Rohollah, et al.
Published: (2023)

SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
by: Do, Jeonghyeok, et al.
Published: (2024)

SPiKE: 3D Human Pose from Point Cloud Sequences
by: Ballester, Irene, et al.
Published: (2024)

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras
by: Sun, Jingkai, et al.
Published: (2025)

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
by: Lin, Jiaying, et al.
Published: (2026)

Real-Time Human Action Recognition on Embedded Platforms
by: Wang, Ruiqi, et al.
Published: (2024)

PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
by: Jiang, Linlian, et al.
Published: (2025)

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition
by: Sun, Shuofeng, et al.
Published: (2024)

Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition
by: Zakka, Vincent Gbouna, et al.
Published: (2025)

Robust Human Registration with Body Part Segmentation on Noisy Point Clouds
by: Lascheit, Kai, et al.
Published: (2025)

A Unified Framework for Human-centric Point Cloud Video Understanding
by: Xu, Yiteng, et al.
Published: (2024)

Towards Practical Human Motion Prediction with LiDAR Point Clouds
by: Han, Xiao, et al.
Published: (2024)

Human-Interpretable Uncertainty Explanations for Point Cloud Registration
by: Gaus, Johannes A., et al.
Published: (2025)

Predicting Soccer Penalty Kick Direction Using Human Action Recognition
by: Freire-Obregón, David, et al.
Published: (2025)

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios
by: Malzard, Simon, et al.
Published: (2025)

MS-CLR: Multi-Skeleton Contrastive Learning for Human Action Recognition
by: Kiray, Mert, et al.
Published: (2025)

Towards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognition
by: Yudistira, Novanto
Published: (2025)

CAST: Cross-Attention in Space and Time for Video Action Recognition
by: Lee, Dongho, et al.
Published: (2023)