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We introduce and evaluate several architectures for Convolutional Neural Networks to predict the 3D joint locations of a hand given a depth map.
Robust Estimation of a Location Parameter
P. J. Huber · 1964
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Some Methods of Speeding Up the Convergence of Iteration Methods
B. T. Polyak · 1964
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Capturing Natural Hand Articulation
Y. Wu, J. Lin, and T. Huang · 2001
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Vision-Based Hand Pose Estimation: A Review
A. Erol, G. Bebis, M. Nicolescu, R. D. Boyle, and X. Twombly · 2007
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Theano: A CPU and GPU Math Expression Compiler
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio · 2010
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Large-Scale Machine Learning with Stochastic Gradient Descent
L. Bottou · 2010
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An Analysis of Single-Layer Networks in Unsupervised Feature Learning
A. Coates, A. Y. Ng, and H. Lee · 2011
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Model-Based 3D Hand Pose Estimation from Monocular Video
M. de La Gorce, D. J. Fleet, and N. Paragios · 2011
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Real Time Hand Pose Estimation Using Depth Sensors
C. Keskin, F. Kıraç, Y. E. Kara, and L. Akarun · 2011
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Full DOF Tracking of a Hand Interacting with an Object by Modeling Occlusions and Physical Constraints
I. Oikonomidis, N. Kyriazis, and A. A. Argyros · 2011
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Efficient Human Pose Estimation from Single Depth Images
J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore, P. Kohli, A. Criminisi, A. Kipman, and A. Blake · 2011
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Motion Capture of Hands in Action Using Discriminative Salient Points
L. Ballan, A. Taneja, J. Gall, L. V. Gool, and M. Pollefeys · 2012
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Hand Pose Estimation and Hand Shape Classification Using Multi-Layered Randomized Decision Forests
C. Keskin, F. Kıraç, Y. E. Kara, and L. Akarun · 2012
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Imagenet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation
J. Taylor, J. Shotton, T. Sharp, and A. Fitzgibbon · 2012
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Learning Hierarchical Features for Scene Labeling
Efficient Hand Pose Estimation from a Single Depth Image
C. Xu and L. Cheng · 2013
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Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation
C. Ionescu, J. Carreira, and C. Sminchisescu · 2014
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Realtime and Robust Hand Tracking from Depth
C. Qian, X. Sun, Y. Wei, X. Tang, and J. Sun · 2014
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Deep Learning in Neural Networks: An Overview
J. Schmidhuber · 2014
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Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
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Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture
D. Tang, H. J. Chang, A. Tejani, and T.-K. Kim · 2014
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C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
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Real-Time Sign Language Recognition Using a Consumer Depth Camera
A. Kuznetsova, L. Leal-taixe, and B. Rosenhahn · 2013
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Dynamics Based 3D Skeletal Hand Tracking
S. Melax, L. Keselman, and S. Orsten · 2013
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Deep Convolutional Network Cascade for Facial Point Detection
Y. Sun, X. Wang, and X. Tang · 2013
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Real-Time Articulated Hand Pose Estimation Using Semi-Supervised Transductive Regression Forests
D. Tang, T. Yu, and T. Kim · 2013
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Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
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Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks
J. Tompson, M. Stein, Y. LeCun, and K. Perlin · 2014
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DeepPose: Human Pose Estimation via Deep Neural Networks
A. Toshev and C. Szegedy · 2014
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