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Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention
  Model for Activity Recognition

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition

21 November 2017
Kaixuan Chen
Lina Yao
Tao Gu
Zhiwen Yu
Xianzhi Wang
Dalin Zhang
ArXiv (abs)PDFHTML

Papers citing "Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition"

7 / 7 papers shown
Title
Modeling Temporal Dynamics and Spatial Configurations of Actions Using
  Two-Stream Recurrent Neural Networks
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks
Hongsong Wang
Liang Wang
58
387
0
09 Apr 2017
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Yu Guan
T. Plötz
HAI
54
463
0
28 Mar 2017
Transforming Sensor Data to the Image Domain for Deep Learning - an
  Application to Footstep Detection
Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection
Monit Shah Singh
Vinaychandran Pondenkandath
Bo Zhou
P. Lukowicz
Marcus Liwicki
52
75
0
04 Jan 2017
Deep Recurrent Neural Network for Mobile Human Activity Recognition with
  High Throughput
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput
Masaya Inoue
Sozo Inoue
T. Nishida
HAIBDL
47
250
0
11 Nov 2016
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
155
3,656
0
24 Jun 2014
Deep Learning of Representations: Looking Forward
Deep Learning of Representations: Looking Forward
Yoshua Bengio
218
682
0
02 May 2013
Learning where to Attend with Deep Architectures for Image Tracking
Learning where to Attend with Deep Architectures for Image Tracking
Misha Denil
Loris Bazzani
Hugo Larochelle
Nando de Freitas
108
206
0
16 Sep 2011
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