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"

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 37 0 0 03 May 2025
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 182 1,007 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 95 137 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 159 131 0 28 Feb 2017
The Effects of Hyperparameters on SGD Training of Neural Networks Thomas Breuel 50 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 188 7,816 0 13 Jun 2015