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Humans intuitively understand that inanimate objects do not move by themselves, but that state changes are typically caused by human manipulation (e.g., the opening of a book).
Patterns of static prehension in normal hands
Noriko Kamakura, Michiko Matsuo, Harumi Ishii, Fumiko Mitsuboshi, and Yoriko Miura · 1980
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The farthest point strategy for progressive image sampling
Yuval Eldar, Michael Lindenbaum, Moshe Porat, and Yehoshua Y. Zeevi · 1994
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Visual tracking of high DOF articulated structures: An application to human hand tracking
James M. Rehg and Takeo Kanade · 1994
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The farthest point strategy for progressive image sampling
Yuval Eldar, Michael Lindenbaum, Moshe Porat, and Yehoshua Y. Zeevi · 1997
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A sensor fusion approach for recognizing continuous human grasping sequences using hidden markov models
Keni Bernardin, Koichi Ogawara, Katsushi Ikeuchi, and Ruediger Dillmann · 2005
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Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Motion capture of hands in action using discriminative salient points
Luca Ballan, Aparna Taneja, Jürgen Gall, Luc Van Gool, and Marc Pollefeys · 2012
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A comparison of directional distances for hand pose estimation
Dimitrios Tzionas and Juergen Gall · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Pose estimation of kinematic chain instances via object coordinate regression
Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, and Carsten Rother · 2015
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Understanding everyday hands in action from RGB-D images
Grégory Rogez, James Steven Supančič III, and Deva Ramanan · 2015
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3D object reconstruction from hand-object interactions
Dimitrios Tzionas and Juergen Gall · 2015
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The grasp taxonomy of human grasp types
Thomas Feix, Javier Romero, Heinz-Bodo Schmiedmayer, Aaron M. Dollar, and Danica Kragic · 2016
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Real-time joint tracking of a hand manipulating an object from RGB-D input
Srinath Sridhar, Franziska Mueller, Michael Zollhoefer, Dan Casas, Antti Oulasvirta, and Christian Theobalt · 2016
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Capturing hands in action using discriminative salient points and physics simulation
Dimitrios Tzionas, Luca Ballan, Abhilash Srikantha, Pablo Aponte, Marc Pollefeys, and Juergen Gall · 2016
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Reconstructing articulated rigged models from RGB-D videos
Dimitrios Tzionas and Juergen Gall · 2016
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Real-time hand tracking under occlusion from an egocentric RGB-D sensor
Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, and Christian Theobalt · 2017
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PointNet: Deep learning on point sets for 3D classification and segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 2017
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Hand keypoint detection in single images using multiview bootstrapping
Tomas Simon, Hanbyul Joo, Iain Matthews, and Yaser Sheikh · 2017
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Learning to estimate 3D hand pose from single RGB images
Christian Zimmermann and Thomas Brox · 2017
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First-person hand action benchmark with RGB-D videos and 3D hand pose annotations
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, and Tae-Kyun Kim · 2018
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Hand pose estimation via latent 2.5D heatmap regression
Umar Iqbal, Pavlo Molchanov, Thomas Breuel Juergen Gall, and Jan Kautz · 2018
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
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GANerated hands for real-time 3D hand tracking from monocular RGB
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, and Christian Theobalt · 2018
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Hand-object contact force estimation from markerless visual tracking
Tu-Hoa Pham, Nikolaos Kyriazis, Antonis A. Argyros, and Abderrahmane Kheddar · 2018
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Cross-modal deep variational hand pose estimation
Adrian Spurr, Jie Song, Seonwook Park, and Otmar Hilliges · 2018
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Joint 3D tracking of a deformable object in interaction with a hand
Aggeliki Tsoli and Antonis A. Argyros · 2018
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3D hand shape and pose from images in the wild
Adnane Boukhayma, Rodrigo de Bem, and Philip H. S. Torr · 2019
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Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
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Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
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H+O: Unified egocentric recognition of 3D hand-object poses and interactions
Learning to disambiguate strongly interacting hands via probabilistic per-pixel part segmentation
Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, and Otmar Hilliges · 2021
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ContactOpt: Optimizing contact to improve grasps
Patrick Grady, Chengcheng Tang, Christopher D. Twigg, Minh Vo, Samarth Brahmbhatt, and Charles C. Kemp · 2021
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PARE: Part attention regressor for 3D human body estimation
Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, and Michael J. Black · 2021
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SPEC: Seeing people in the wild with an estimated camera
Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, and Michael J. Black · 2021
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H2O: Two hands manipulating objects for first person interaction recognition
Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, and Marc Pollefeys · 2021
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Bugra Tekin, Federica Bogo, and Marc Pollefeys · 2019
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DPOD: 6D pose object detector and refiner
Sergey Zakharov, Ivan Shugurov, and Slobodan Ilic · 2019
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End-to-end hand mesh recovery from a monocular RGB image
Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, and Wen Zheng · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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FreiHAND: A dataset for markerless capture of hand pose and shape from single RGB images
Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus, and Thomas Brox · 2019
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ContactPose: A dataset of grasps with object contact and hand pose
Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, and James Hays · 2020
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GanHand: Predicting human grasp affordances in multi-object scenes
Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer, and Grégory Rogez · 2020
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Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, and Xiaolong Wang · 2021
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Self-supervised 3D hand pose estimation from monocular RGB via contrastive learning
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CPF: Learning a contact potential field to model the hand-object interaction
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Interacting two-hand 3D pose and shape reconstruction from single color image
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ManipNet: Neural manipulation synthesis with a hand-object spatial representation
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Single depth view based real-time reconstruction of hand-object interactions
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BEHAVE: Dataset and method for tracking human object interactions
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Towards human-level bimanual dexterous manipulation with reinforcement learning
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Capturing and inferring dense full-body human-scene contact
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aitviewer, 7 2022
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