GRAB: A Dataset of Whole-Body Human Grasping of Objects
暂无分享,去创建一个
Dimitrios Tzionas | Michael J. Black | Omid Taheri | Nima Ghorbani | Dimitrios Tzionas | Omid Taheri | N. Ghorbani
[1] Wojciech Matusik,et al. Learning the signatures of the human grasp using a scalable tactile glove , 2019, Nature.
[2] Marc Pollefeys,et al. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Matthias Nießner,et al. PiGraphs: learning interaction snapshots from observations , 2016, ACM Trans. Graph..
[4] Michael J. Black,et al. SMPL: A Skinned Multi-Person Linear Model , 2015, ACM Trans. Graph..
[5] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[6] Michael J. Black,et al. Learning a model of facial shape and expression from 4D scans , 2017, ACM Trans. Graph..
[7] Sebastian Starke,et al. Neural state machine for character-scene interactions , 2019, ACM Trans. Graph..
[8] Christoph Lassner,et al. Efficient Learning on Point Clouds With Basis Point Sets , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[9] Pat Hanrahan,et al. SceneGrok: inferring action maps in 3D environments , 2014, ACM Trans. Graph..
[10] Dieter Fox,et al. DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[11] Niels Henze,et al. Fingers' Range and Comfortable Area for One-Handed Smartphone Interaction Beyond the Touchscreen , 2018, CHI.
[12] Danica Kragic,et al. Hands in action: real-time 3D reconstruction of hands in interaction with objects , 2010, 2010 IEEE International Conference on Robotics and Automation.
[13] Dimitrios Tzionas,et al. Monocular Expressive Body Regression through Body-Driven Attention , 2020, ECCV.
[14] Victor Zordan,et al. Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2005, Los Angeles, CA, USA, July 29-31, 2005 , 2005, Symposium on Computer Animation.
[15] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.
[16] Danica Kragic,et al. Learning Task-Oriented Grasping From Human Activity Datasets , 2019, IEEE Robotics and Automation Letters.
[17] H. Ruff,et al. Infants' manipulative exploration of objects: Effects of age and object characteristics. , 1984 .
[18] Qionghai Dai,et al. Video-based hand manipulation capture through composite motion control , 2013, ACM Trans. Graph..
[19] Dinesh K. Pai,et al. Interaction capture and synthesis , 2005, ACM Trans. Graph..
[20] Dimitrios Tzionas,et al. Resolving 3D Human Pose Ambiguities With 3D Scene Constraints , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Michael J. Black,et al. Dynamic FAUST: Registering Human Bodies in Motion , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Feng Xu,et al. InteractionFusion: real-time reconstruction of hand poses and deformable objects in hand-object interactions , 2019, ACM Trans. Graph..
[23] Katsushi Ikeuchi,et al. A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models , 2005, IEEE Transactions on Robotics.
[24] Wolfram Burgard,et al. Learning manipulation actions from human demonstrations , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[25] Peter K. Allen,et al. Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.
[26] Mahdi Rad,et al. HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation , 2019, ArXiv.
[27] Antti Oulasvirta,et al. Real-Time Joint Tracking of a Hand Manipulating an Object from RGB-D Input , 2016, ECCV.
[28] Dimitrios Tzionas,et al. Expressive Body Capture: 3D Hands, Face, and Body From a Single Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Dimitrios Tzionas,et al. Learning Multi-human Optical Flow , 2020, International Journal of Computer Vision.
[30] Masanobu Yamamoto,et al. Scene constraints-aided tracking of human body , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[31] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[32] Michael J. Black,et al. Capture, Learning, and Synthesis of 3D Speaking Styles , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Danica Kragic,et al. The GRASP Taxonomy of Human Grasp Types , 2016, IEEE Transactions on Human-Machine Systems.
[34] Tamim Asfour,et al. The KIT whole-body human motion database , 2015, 2015 International Conference on Advanced Robotics (ICAR).
[35] Jehee Lee,et al. Motion patches: buildings blocks for virtual environments annotated with motion data , 2005, SIGGRAPH 2005.
[36] Zhe Wang,et al. Geometric Pose Affordance: 3D Human Pose with Scene Constraints , 2019, ArXiv.
[37] Marc Pollefeys,et al. Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation , 2015, International Journal of Computer Vision.
[38] Nikolaus F. Troje,et al. AMASS: Archive of Motion Capture As Surface Shapes , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[39] J. Napier. The prehensile movements of the human hand. , 1956, The Journal of bone and joint surgery. British volume.
[40] Ersin Yumer,et al. iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos , 2018, ACM Trans. Graph..
[41] KinKenrick,et al. Online optical marker-based hand tracking with deep labels , 2018 .
[42] Vincent Lepetit,et al. Generalized Feedback Loop for Joint Hand-Object Pose Estimation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Luc Van Gool,et al. An object-dependent hand pose prior from sparse training data , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[44] Cordelia Schmid,et al. Learning Joint Reconstruction of Hands and Manipulated Objects , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Tomás Lozano-Pérez,et al. Imitation Learning of Whole-Body Grasps , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[46] Matei T. Ciocarlie,et al. The Columbia grasp database , 2009, 2009 IEEE International Conference on Robotics and Automation.
[47] Francesc Moreno-Noguer,et al. Context-Aware Human Motion Prediction , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Jehee Lee,et al. Motion patches: building blocks for virtual environments annotated with motion data , 2006, ACM Trans. Graph..
[49] Antonis A. Argyros,et al. Hand-Object Contact Force Estimation from Markerless Visual Tracking , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Antonis A. Argyros,et al. Joint 3D Tracking of a Deformable Object in Interaction with a Hand , 2018, ECCV.
[51] Antti Oulasvirta,et al. How We Type: Movement Strategies and Performance in Everyday Typing , 2016, CHI.
[52] Shanxin Yuan,et al. First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[53] Karan Singh,et al. Eurographics/siggraph Symposium on Computer Animation (2003) Handrix: Animating the Human Hand , 2003 .
[54] Francesc Moreno-Noguer,et al. GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Yi Zhou,et al. On the Continuity of Rotation Representations in Neural Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Cordelia Schmid,et al. Learning from Synthetic Humans , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[58] Hans-Peter Seidel,et al. Markerless motion capture of man-machine interaction , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Anis Sahbani,et al. An overview of 3D object grasp synthesis algorithms , 2012, Robotics Auton. Syst..
[60] Tero Karras,et al. Maximizing parallelism in the construction of BVHs, octrees, and k-d trees , 2012, EGGH-HPG'12.
[61] Edward H. Adelson,et al. Microgeometry capture using an elastomeric sensor , 2011, ACM Trans. Graph..
[62] Victor B. Zordan,et al. Physically based grasping control from example , 2005, SCA '05.
[63] Charles C. Kemp,et al. ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[64] Yan Zhang,et al. Generating 3D People in Scenes Without People , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Danica Kragic,et al. Tracking people interacting with objects , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[66] Leonidas J. Guibas,et al. Shape2Pose: human-centric shape analysis , 2014, ACM Trans. Graph..
[67] Hans-Peter Seidel,et al. Markerless Motion Capture with unsynchronized moving cameras , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[68] Tamim Asfour,et al. A whole-body pose taxonomy for loco-manipulation tasks , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[69] Nicolas Mansard,et al. Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[70] C. Karen Liu,et al. Synthesis of detailed hand manipulations using contact sampling , 2012, ACM Trans. Graph..
[71] Leonidas J. Guibas,et al. Understanding and Exploiting Object Interaction Landscapes , 2017 .
[72] N. Kamakura,et al. Patterns of static prehension in normal hands. , 1980, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.
[73] A. Aldo Faisal,et al. Haptic SLAM: An Ideal Observer Model for Bayesian Inference of Object Shape and Hand Pose from Contact Dynamics , 2016, EuroHaptics.
[74] David J. Fleet,et al. Physics-Based Person Tracking Using the Anthropomorphic Walker , 2010, International Journal of Computer Vision.
[75] Kenrick Kin,et al. Online optical marker-based hand tracking with deep labels , 2018, ACM Trans. Graph..
[76] Mark R. Cutkosky,et al. On grasp choice, grasp models, and the design of hands for manufacturing tasks , 1989, IEEE Trans. Robotics Autom..
[77] Antonis A. Argyros,et al. Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints , 2011, 2011 International Conference on Computer Vision.
[78] Deva Ramanan,et al. Understanding Everyday Hands in Action from RGB-D Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).