CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors

29 October 2020

Papers citing "CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors"

10 / 10 papers shown

Title
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors Zeeshan Ahmad N. Khan 43 17 0 22 Aug 2020
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data Zeeshan Ahmad N. Khan 42 17 0 22 Aug 2020
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories Hao Wu Hanyuan Zhang Xinyu Zhang Weiwei Sun Baihua Zheng Yuning Jiang 95 33 0 17 Feb 2020
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors Zeeshan Ahmad N. Khan 43 43 0 25 Oct 2019
A Comparative Review of Recent Kinect-based Action Recognition Algorithms Lei Wang D. Huynh Piotr Koniusz 50 213 0 24 Jun 2019
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network Jaekyum Kim Junho Koh Yecheol Kim Jaehyung Choi Youngbae Hwang Jun-Won Choi 66 64 0 17 Jul 2018
Gated Fusion Network for Single Image Dehazing Wenqi Ren Lin Ma Jiawei Zhang Jin-shan Pan Xiaochun Cao Wen Liu Ming-Hsuan Yang 93 736 0 31 Mar 2018
RGB-D-based Human Motion Recognition with Deep Learning: A Survey Pichao Wang W. Li P. Ogunbona Jun Wan Sergio Escalera 3DH 85 355 0 31 Oct 2017
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 46 1,637 0 12 Jul 2017
Real-Time Human Motion Capture with Multiple Depth Cameras Alireza Shafaei James J. Little 3DH 55 56 0 25 May 2016