Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks

13 June 2020

Papers citing "Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks"

7 / 7 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
Real-time 3D human action recognition based on Hyperpoint sequence Xing Li Qian Huang Zhijian Wang Zhenjie Hou Tianjin Yang Zhuang Miao 3DH 3DPC 24 11 0 16 Nov 2021
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,019 0 26 Mar 2018
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks Pichao Wang W. Li Zhimin Gao Chang-Fu Tang P. Ogunbona 3DV 117 137 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
The Effects of Hyperparameters on SGD Training of Neural Networks Thomas Breuel 64 63 0 12 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015