Efficient Dense Labeling of Human Activity Sequences from Wearables
using Fully Convolutional Networks

Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks

20 February 2017

Guosheng Lin

Javen Qinfeng Shi

Damith C. Ranasinghe

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Papers citing "Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks"

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Title
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,886 0 20 May 2016
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables Nils Y. Hammerla Shane Halloran T. Plötz HAI BDL 60 887 0 29 Apr 2016
Learning Human Identity from Motion Patterns Natalia Neverova Christian Wolf Griffin Lacey Alex Fridman Deepak Chandra Brandon Barbello Graham W. Taylor 35 176 0 12 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014