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Cited By

Two-stream convolutional neural network for accurate RGB-D fingertip
detection using depth and edge information

Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information

International Conference on Information Photonics (ICIP), 2016

23 December 2016

ArXiv (abs)PDF HTML

Papers citing "Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information"

7 / 7 papers shown

Efficiently utilizing complex-valued PolSAR image data via a multi-task
deep learning framework

Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework

138

29

0

24 Mar 2019

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning
from Synthetic Depth

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

Fabrizio Nunnari

Kiarash Tamaddon

141

81

0

28 Aug 2018

Deep Learning for Electromyographic Hand Gesture Signal Classification
Using Transfer Learning

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Ulysse Côté-Allard

Alexandre Drouin

Alexandre Campeau-Lecours

François Laviolette

Benoit Gosselin

265

616

0

10 Jan 2018

Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a
Single Depth Image

Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image

140

23

0

08 Dec 2017

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal
Deep Networks

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Nicolas Audebert

Bertrand Le Saux

Sébastien Lefèvre

209

562

0

23 Nov 2017

Towards Good Practices for Deep 3D Hand Pose Estimation

Towards Good Practices for Deep 3D Hand Pose Estimation

188

85

0

23 Jul 2017

Region Ensemble Network: Improving Convolutional Network for Hand Pose
Estimation

Region Ensemble Network: Improving Convolutional Network for Hand Pose EstimationInternational Conference on Information Photonics (ICIP), 2017

178

147

0

08 Feb 2017