ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.10770
  4. Cited By
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure
  based FoG Detection

Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection

22 September 2022
Kun Hu
Shaohui Mei
Wei Wang
K. E. Martens
Liang Wang
S. Lewis
Dagan Feng
Zhiyong Wang
ArXivPDFHTML

Papers citing "Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection"

7 / 7 papers shown
Title
Enriching Local and Global Contexts for Temporal Action Localization
Enriching Local and Global Contexts for Temporal Action Localization
Zixin Zhu
Wei Tang
Le Wang
N. Zheng
G. Hua
52
109
0
27 Jul 2021
ViViT: A Video Vision Transformer
ViViT: A Video Vision Transformer
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
84
2,119
0
29 Mar 2021
Automated freezing of gait assessment with marker-based motion capture
  and multi-stage spatial-temporal graph convolutional neural networks
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks
Benjamin Filtjens
Pieter Ginis
A. Nieuwboer
P. Slaets
Bart Vanrumste
18
20
0
29 Mar 2021
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in
  Video Classification
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Zhuowen Tu
Kevin Patrick Murphy
3DH
119
1,317
0
13 Dec 2017
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
103
2,606
0
22 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
423
7,952
0
13 Jun 2015
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
207
7,518
0
09 Jun 2014
1