See folder evaluation to get more details about performance evaluation for hand pose estimation.
[arXiv:1708.03416] Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation. [PDF]
Xinghao Chen, Guijin Wang, Hengkai Guo, Cairong Zhang
[arXiv:1707.07248] Towards Good Practices for Deep 3D Hand Pose Estimation. [PDF] [Code]
Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang
[arXiv:1707.03742] Large-scale Multiview 3D Hand Pose Dataset. [PDF]
Francisco Gomez-Donoso, Sergio Orts-Escolano and Miguel Cazorla
[arXiv:1707.02237] The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation. [PDF]
Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, Tae-Kyun Kim
[arXiv:1705.09606] End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data. [PDF]
Meysam Madadi, Sergio Escalera, Xavier Baro, Jordi Gonzalez
[arXiv:1705.05301] Back to RGB: 3D tracking of hands and hand-object interactions based on short-baseline stereo. [PDF]
Paschalis Panteleris, Antonis Argyros
[arXiv:1705.01389] Learning to Estimate 3D Hand Pose from Single RGB Images. [PDF] [Project Page] [Code]
Christian Zimmermann, Thomas Brox
[arXiv:1704.02224] Hand3D: Hand Pose Estimation using 3D Neural Network. [PDF] [Project Page]
Xiaoming Deng*, Shuo Yang*, Yinda Zhang*, Ping Tan, Liang Chang, Hongan Wang
[arXiv:1704.02201] Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor. [PDF]
Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, Christian Theobalt
[arXiv:1612.00596] Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects. [PDF]
Yu Zhang, Chi Xu, Li Cheng
[arXiv:1511.06728] Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning. [PDF]
Natalia Neverova, Christian Wolf, Florian Nebout, Graham Taylor
Hand Keypoint Detection in Single Images using Multiview Bootstrapping. [PDF] [Project Page] [Code]
Tomas Simon, Hanbyul Joo, Iain Matthews, Yaser Sheikh
Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose. Estimation. [PDF]
Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
Big Hand 2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis. [PDF]
Shanxin Yuan, Qi Ye, Bjorn Stenger, Siddhand Jain, Tae-Kyun Kim
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation from Single Depth Images.[PDF] [Project Page]
Liuhao Ge, Hui Liang, Junsong Yuan and Daniel Thalmann
[2017 BMVC] Hand Pose Learning: Combining Deep Learning and Hierarchical Refinement for 3D Hand Pose Estimation. [[PDF]]
Min-Yu Wu, Ya Hui Tang, Pai-Wei Ting and Li-Chen Fu
[2017 BMVC] Generative 3D Hand Tracking with Spatially Constrained Pose Sampling. [PDF] [Project Page]
Konstantinos Roditakis, Alexandros Makris and Antonis Argyros
[2017 ICRA] Learning a deep network with spherical part model for 3D hand pose estimation. [PDF]
Tzu-Yang Chen, Pai-Wen Ting, Min-Yu Wu, Li-Chen Fu
[2017 ICIP] Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation. [PDF] [Code]
Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang, Fei Qiao, Huazhong Yang
Meysam Madadi, Sergio Escalera, Alex Carruesco Llorens, Carlos Andujar, Xavier Baro, Jordi Gonzalez
[2017 FG] 3D Hand-Object Pose Estimation from Depth with Convolutional Neural Networks. [PDF] [Project Page]
Duncan Goudie, Aphrodite Galata
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation. [PDF] [Project Page]
Qi Ye*, Shanxin Yuan*, Tae-Kyun Kim
Hand Pose Estimation from Local Surface Normals. [PDF]
Chengde Wan, Angela Yao, and Luc Van Gool
Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input. [PDF] [Project Page]
Srinath Sridhar, Franziska Mueller, Michael Zollhöfer, Dan Casas, Antti Oulasvirta, Christian Theobalt
[2016 ICPR] Depth-based 3D hand pose tracking. [PDF]
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, and Tien D. Bui.
[2016 IJCAI] Model-based Deep Hand Pose Estimation. [PDF] [Project Page] [Code]
Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue, Yichen Wei
[2016 SIGGRAPH] Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences. [PDF]
Jonathan Taylor et al.
[2016 SIGGRAPH Asia] Sphere-Meshes for Real-Time Hand Modeling and Tracking. [PDF] [Project Page] [Code]
Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs. [PDF] [Project Page] [Code]
Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features. [PDF][Project Page]
Ayan Sinha*, Chiho Choi*, Karthik Ramani
Efficiently Creating 3D Training Data for Fine Hand Pose Estimation. [PDF] [Project Page] [Code]
Markus Oberweger, Gernot Riegler, Paul Wohlhart, Vincent Lepetit
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization. [PDF] [Project Page]
David Joseph Tan, Thomas Cashman, Jonathan Taylor, Andrew Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton
Training a Feedback Loop for Hand Pose Estimation. [PDF] [Project Page]
Markus Oberweger, Paul Wohlhart, Vincent Lepetit
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose. [PDF]
Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton
Depth-based hand pose estimation: data, methods, and challenges. [PDF] [Project Page] [Code]
James Supancic III, Deva Ramanan, Gregory Rogez, Yi Yang, Jamie Shotton
3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points. [PDF]
Peiyi Li, Haibin Ling
A collaborative filtering approach to real-time hand pose estimation. [PDF] [Project Page]
Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. [PDF]
Sven Bambach, Stefan Lee, David Crandall, Chen Yu
Understanding Everyday Hands in Action from RGB-D Images. [PDF]
Gregory Rogez, James Supancic III, Deva Ramanan
Cascaded Hand Pose Regression. [PDF]
Xiao Sun, Yichen Wei, Shuang Liang, Xiaoou Tang, and Jian Sun
Fast and Robust Hand Tracking Using Detection-Guided Optimization. [PDF] [Project Page]
Srinath Sridhar, Franziska Mueller, Antti Oulasvirta, Christian Theobalt
Learning an Efficient Model of Hand Shape Variation from Depth Images. [PDF]
Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew Fitzgibbon
[2015 CHI] Accurate, Robust, and Flexible Real-time Hand Tracking. [PDF] [Project Page]
Toby Sharp, Cem Keskin, Duncan Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew Fitzgibbon, Shahram Izadi
[2015 CVWW]Hands Deep in Deep Learning for Hand Pose Estimation. [PDF] [Project Page] [Code]
Markus Oberweger, Paul Wohlhart, Vincent Lepetit
[2015 FG]Combining Discriminative and Model Based Approaches for Hand Pose Estimation. [PDF] [Project Page]
Philip Krejov, Andrew Gilbert, Richard Bowden
[2015 SGP] Robust Articulated-ICP for Real-Time Hand Tracking. [PDF] [Project Page] [Code]
Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
Realtime and robust hand tracking from depth. [PDF] [Project Page]
Chen Qian, Xiao Sun, Yichen Wei, Xiaoou Tang and Jian Sun
Latent regression forest: Structured estimation of 3d articulated hand posture. [PDF] [Project Page]
Danhang Tang, Hyung Jin Chang, Alykhan Tejani, T-K. Kim
User-specific hand modeling from monocular depth sequences. [PDF] [Project Page]
Jonathan Taylor, Richard Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, Andrew Fitzgibbon
Evolutionary Quasi-random Search for Hand Articulations Tracking. [PDF] [Project Page]
Iason Oikonomidis, Manolis IA Lourakis, Antonis A Argyros
[2014 SIGGRAPH] Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks. [PDF] [Project Page]
Jonathan Tompson, Murphy Stein, Yann Lecun and Ken Perlin
[2013 ICCV] Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests. [PDF] [Project Page]
Danhang Tang, Tsz Ho Yu and T-K. Kim
[2013 ICCV] Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data. [PDF] [Project Page]
Srinath Sridhar, Antti Oulasvirta, Christian Theobalt
[2013 ICCV] Efficient Hand Pose Estimation from a Single Depth Image. [PDF] [Project Page]
Chi Xu, Li Cheng
[2012 ECCV] Hand pose estimation and hand shape classification using multi-layered randomized decision forests
Cem KeskinFurkan, KıraçYunus Emre, KaraLale Akarun
[2011 CVPRW] Real Time Hand Pose Estimation using Depth Sensors. [PDF]
Cem Keskin, Furkan Kırac, Yunus Emre Kara, Lale Akarun
[2011 BMVC] Efficient Model-based 3D Tracking of Hand Articulations using Kinect. [PDF] [Project Page] [Code]
Iason Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros
[2016 IJCV] Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups. [PDF] [Project Page]
Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, Li Cheng
Danhang Tang, Hyung Chang, Alykhan Tejani, Tae-Kyun Kim
[2016 CVIU] Guided Optimisation through Classification and Regression for Hand Pose Estimation. [PDF] [Project Page]
Philip Krejov, Andrew Gilbert, Richard Bowden
[2015 TCSVT] Resolving Ambiguous Hand Pose Predictions by Exploiting Part Correlations. [PDF]
Hui Liang, Junsong Yuan, Daniel Thalmann
[2015 IJCV] Estimate Hand Poses Efficiently from Single Depth Images. [PDF] [Project Page] [Code]
Chi Xu, Ashwin Nanjappa, Xiaowei Zhang, Li Cheng
[2014 TMM] Parsing the Hand in Depth Images. [PDF] [Project Page] [Code]
Hui Liang, Junsong Yuan, Daniel Thalmann
[2016 Thesis] 3D hand pose regression with variants of decision forests. [PDF]
Srinath Sridhar, Max Planck Institute for Informatics
[2016 Thesis] 3D hand pose regression with variants of decision forests. [PDF] [Project Page]
Danhang Tang, Imperial College London
[2016 Thesis] Deep Learning for Human Motion Analysis. [PDF] [Project Page]
Natalia Neverova, National Institut of Applied Science (INSA de Lyon), France
[2016 Thesis] Real time hand pose estimation for human computer interaction. [PDF] [Project Page]
Philip Krejov, University of Surrey
[2015 Thesis] Efficient Tracking of the 3D Articulated Motion of Human Hands. [PDF]
Iason Oikonomidis, University of Crete
[2015 Thesis] Vision-based hand pose estimation and gesture recognition. [PDF]
Hui Liang, Nanyang Technological University
[2015 Thesis] Localization of Humans in Images Using Convolutional Networks. [PDF]
Jonathan Tompson, New York University
[2017 Neurocomputing] Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression.
Fourure, Damien, et al.
[arXiv:1704.02463] First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations. [PDF]
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim
[2017 CVPR] SurfNet: Generating 3D shape surfaces using deep residual networks. [PDF]
Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani
[2017 CVPR] Learning from Simulated and Unsupervised Images through Adversarial Training. [PDF] [Project Page] [Code-Tensorflow] [Code-Keras] [Code-Tensorflow-NYU-Hand]
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb
[2016 3DV] Learning to Navigate the Energy Landscape. [PDF] [Project Page]
Julien Valentin, Angela Dai, Matthias Niessner, Pushmeet Kohli, Philip H.S. Torr, Shahram Izadi
[2016 NIPS] DISCO Nets : Dissimilarity Coefficient Networks. [PDF] [Project Page] [Code]
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
* indicates equal contribution