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

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

13 June 2020
Adrián Sánchez-Caballero
Sergio de López-Diz
D. Fuentes-Jiménez
Cristina Losada-Gutiérrez
Marta Marrón-Romera
D. Casillas-Pérez
Mohammad Ibrahim Sarker
    HAI
ArXivPDFHTML

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

4 / 4 papers shown
Title
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding
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
43
0
0
03 May 2025
Towards Good Practices for Missing Modality Robust Action Recognition
Towards Good Practices for Missing Modality Robust Action Recognition
Sangmin Woo
Sumin Lee
Yeonju Park
Muhammad Adi Nugroho
Changick Kim
22
42
0
25 Nov 2022
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional
  Neural Networks
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
Pichao Wang
W. Li
Zhimin Gao
Chang-Fu Tang
P. Ogunbona
3DV
98
137
0
17 Mar 2018
Scene Flow to Action Map: A New Representation for RGB-D based Action
  Recognition with Convolutional Neural Networks
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
164
131
0
28 Feb 2017
1