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How human interact with objects depends on the functional roles of the target objects, which introduces the problem of affordance-aware hand-object interaction.
The roles of vision and eye movements in the control of activities of daily living
Mike Land, Neil Mennie, and Jennifer M. Rusted · 1999
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Graspit! a versatile simulator for robotic grasping
Andrew T. Miller and Peter K. Allen · 2004
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Affordance prediction via learned object attributes
Tucker Hermans, James M Rehg, and Aaron Bobick · 2011
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The ecological approach to visual perception: classic edition
James J Gibson · 2014
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Affordance detection of tool parts from geometric features
Austin Myers, Ching Lik Teo, Cornelia Fermüller, and Yiannis Aloimonos · 2015
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Generating multi-fingered robotic grasps via deep learning
Jacob Varley, Jonathan Weisz, Jared Weiss, and Peter K. Allen · 2015
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Deep residual learning for image recognition
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Wei Liang, Yibiao Zhao, Yixin Zhu, and Song-Chun Zhu · 2016
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A multi-scale cnn for affordance segmentation in rgb images
Anirban Roy and Sinisa Todorovic · 2016
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Learning social affordance for human-robot interaction
Tianmin Shu, Michael S. Ryoo, and Song-Chun Zhu · 2016
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Learning to detect visual grasp affordance
Hyun Oh Song, Mario Fritz, Daniel Goehring, and Trevor Darrell · 2016
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Object-based affordances detection with convolutional neural networks and dense conditional random fields
Anh Nguyen, D. Kanoulas, Darwin Gordon Caldwell, and Nikolaos G. Tsagarakis · 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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Weakly supervised affordance detection
Johann Sawatzky, Abhilash Srikantha, and Juergen Gall · 2017
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Deep affordance-grounded sensorimotor object recognition
Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras, and Gerasimos Potamianos · 2017
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Binge watching: Scaling affordance learning from sitcoms
X. Wang, Rohit Girdhar, and Abhinav Kumar Gupta · 2017
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Bighand2. 2m benchmark: Hand pose dataset and state of the art analysis
Shanxin Yuan, Qi Ye, Bjorn Stenger, Siddhant Jain, and Tae-Kyun Kim · 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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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
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Contactgrasp: Functional multi-finger grasp synthesis from contact
Samarth Brahmbhatt, Ankur Handa, James Hays, and Dieter Fox · 2019
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Learning affordance segmentation for real-world robotic manipulation via synthetic images
Fu-Jen Chu, Ruinian Xu, and Patricio A. Vela · 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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Generating grasp poses for a high-dof gripper using neural networks
Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, and Dinesh Manocha · 2019
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Reconstructing hand-object interactions in the wild
Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, and Jitendra Malik · 2021
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Dexycb: A benchmark for capturing hand grasping of objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Dieter Fox · 2021
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3d affordancenet: A benchmark for visual object affordance understanding
Sheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, and Kui Jia · 2021
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Visual affordance and function understanding
Mohammed Hassanin, Salman Khan, and Murat Tahtali · 2021
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Visual affordance and function understanding: A survey
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Hand-object contact consistency reasoning for human grasps generation
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Kaichun Mo, Shilin Zhu, Angel X. Chang, L. Yi, Subarna Tripathi, Leonidas J. Guibas, and Hao Su · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon · 2019
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Affordances in robotic tasks - a survey
Paola Ard’on, Éric Pairet, Katrin Solveig Lohan, Subramanian Ramamoorthy, and Ronald P. A. Petrick · 2020
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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
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Hope-net: A graph-based model for hand-object pose estimation
Bardia Doosti, Shujon Naha, Majid Mirbagheri, and David J. Crandall · 2020
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Honnotate: A method for 3d annotation of hand and object poses
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Hanwen Jiang, Shaowei Liu, Jiashun Wang, and Xiaolong Wang · 2021
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Semi-supervised 3d hand-object poses estimation with interactions in time
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Learning dexterous grasping with object-centric visual affordances
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H2o: A benchmark for visual human-human object handover analysis
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Toward human-like grasp: Dexterous grasping via semantic representation of object-hand
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Learning 6-dof task-oriented grasp detection via implicit estimation and visual affordance
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Towards visual affordance learning: A benchmark for affordance segmentation and recognition
Zeyad Osama Khalifa and Syed Afaq Ali Shah · 2022
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Learning object affordance with contact and grasp generation
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Contact2grasp: 3d grasp synthesis via hand-object contact constraint
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Grasp’d: Differentiable contact-rich grasp synthesis for multi-fingered hands
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Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation
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Partafford: Part-level affordance discovery from 3d objects
Chao Xu, Yixin Chen, He Wang, Song-Chun Zhu, Yixin Zhu, and Siyuan Huang · 2022
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Oakink: A large-scale knowledge repository for understanding hand-object interaction
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