3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information

13 June 2020

Papers citing "3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information"

6 / 6 papers shown

Title
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding Siyang Jiang Bufang Yang Lilin Xu Mu Yuan Yeerzhati Abudunuer ... Liekang Zeng Hongkai Chen Zhenyu Yan Xiaofan Jiang Guoliang Xing VLM 92 0 0 03 May 2025
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition Xiaoyu Zhu Po-Yao (Bernie) Huang Junwei Liang Celso M. de Melo Alexander G. Hauptmann 27 12 0 31 Mar 2023
Towards Good Practices for Missing Modality Robust Action Recognition Sangmin Woo Sumin Lee Yeonju Park Muhammad Adi Nugroho Changick Kim 22 43 0 25 Nov 2022
Real-time 3D human action recognition based on Hyperpoint sequence Xing Li Qian Huang Zhijian Wang Zhenjie Hou Tianjin Yang Zhuang Miao 3DH 3DPC 27 11 0 16 Nov 2021
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks Pichao Wang W. Li Zhimin Gao Chang-Fu Tang P. Ogunbona 3DV 120 137 0 17 Mar 2018
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks Pichao Wang W. Li Zhimin Gao Yuyao Zhang Chang-Fu Tang P. Ogunbona 3DPC 172 131 0 28 Feb 2017