Real-time Human Activity Recognition Using Conditionally Parametrized
Convolutions on Mobile and Wearable Devices

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Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices

5 June 2020

Jun He

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Papers citing "Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices"

19 / 19 papers shown

Title
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 44 234 0 19 Apr 2020
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 72 636 0 10 Apr 2019
Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors Kun Wang Jun He Lefei Zhang HAI 54 148 0 24 Mar 2019
Asymmetric Residual Neural Network for Accurate Human Activity Recognition J. Long Wuqing Sun Zhan Yang Osolo Ian Raymond HAI 43 21 0 13 Mar 2019
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention Mingzhi Zeng Haoxiang Gao Tong Yu Ole J. Mengshoel H. Langseth Ian Lane Xiaobing Liu HAI 54 168 0 07 Oct 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition Zhan Yang Osolo Ian Raymond Chengyuan Zhang Ying Wan J. Long CVBM 66 36 0 31 Jul 2018
Human Activity Recognition using Recurrent Neural Networks Deepika Singh Erinc Merdivan I. Psychoula J. Kropf S. Hanke Matthieu Geist Andreas Holzinger BDL HAI 50 149 0 19 Apr 2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Jian Yang 72 309 0 16 Jan 2018
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 95 469 0 22 Nov 2017
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 40 1,636 0 12 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,880 0 17 Apr 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 251 2,683 0 23 Jan 2017
UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones D. Micucci M. Mobilio Paolo Napoletano 68 476 0 23 Nov 2016
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables Nils Y. Hammerla Shane Halloran T. Plötz HAI BDL 60 890 0 29 Apr 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning Kyunghyun Cho Yoshua Bengio 95 38 0 28 Jun 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 387 3,151 0 15 Aug 2013

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