Fetching the paper…
Reading the bibliography…
When we humans look at a video of human-object interaction, we can not only infer what is happening but we can even extract actionable information and imitate those interactions.
Design of low-cost tactile force sensor for 3d force scan
Tao Liu, Yoshio Inoue, and Kyoko Shibata · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
An object-dependent hand pose prior from sparse training data
Henning Hamer, Juergen Gall, Thibaut Weise, and Luc Van Gool · 2010
Earlier work this paper cites.
Sliding shapes for 3d object detection in depth images
Shuran Song and Jianxiong Xiao · 2014
Earlier work this paper cites.
The ycb object and model set: Towards common benchmarks for manipulation research
Berk Calli, Arjun Singh, Aaron Walsman, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2015
Earlier work this paper cites.
Aligning 3d models to rgb-d images of cluttered scenes
Saurabh Gupta, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2015
Earlier work this paper cites.
Saurabh Gupta and Jitendra Malik · 2015
Earlier work this paper cites.
How do we use our hands? discovering a diverse set of common grasps
De-An Huang, Minghuang Ma, Wei-Chiu Ma, and Kris M Kitani · 2015
Earlier work this paper cites.
Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces
Tu-Hoa Pham, Abderrahmane Kheddar, Ammar Qammaz, and Antonis A Argyros · 2015
Earlier work this paper cites.
Galileo: Perceiving physical object properties by integrating a physics engine with deep learning
Jiajun Wu, Ilker Yildirim, Joseph J Lim, Bill Freeman, and Josh Tenenbaum · 2015
Earlier work this paper cites.
Recovering 6d object pose and predicting next-best-view in the crowd
Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis, and Tae-Kyun Kim · 2016
Earlier work this paper cites.
Predictive visual models of physics for playing billiards
Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, and Jitendra Malik · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation
Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, and Nassir Navab · 2016
Cited alongside, same era.
Newtonian scene understanding: Unfolding the dynamics of objects in static images
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, and Ali Farhadi · 2016
Cited alongside, same era.
“what happens if…” learning to predict the effect of forces in images
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, and Ali Farhadi · 2016
Cited alongside, same era.
Situation recognition: Visual semantic role labeling for image understanding
Mark Yatskar, Luke Zettlemoyer, and Ali Farhadi · 2016
Cited alongside, same era.
Inferring interaction force from visual information without using physical force sensors
Deepim: Deep iterative matching for 6d pose estimation
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2018
Later among the works it cites.
Category-level 6d object pose recovery in depth images
Caner Sahin and Tae-Kyun Kim · 2018
Later among the works it cites.
Deep object pose estimation for semantic robotic grasping of household objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, and Stan Birchfield · 2018
Later among the works it cites.
Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
Later among the works it cites.
Contactdb: Analyzing and predicting grasp contact via thermal imaging
Samarth Brahmbhatt, Cusuh Ham, Charles C Kemp, and James Hays · 2019
Later among the works it cites.
Closing the sim-to-real loop: Adapting simulation randomization with real world experience
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wonjun Hwang and Soo-Chul Lim · 2017
Cited alongside, same era.
Hand-object contact force estimation from markerless visual tracking
Tu-Hoa Pham, Nikolaos Kyriazis, Antonis A Argyros, and Abderrahmane Kheddar · 2017
Cited alongside, same era.
Tactile logging for understanding plausible tool use based on human demonstration
Shuichi Akizuki and Yoshimitsu Aoki · 2018
Cited alongside, same era.
End-to-end differentiable physics for learning and control
Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen, Josh Tenenbaum, and J Zico Kolter · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Detecting and recognizing human-object interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He · 2018
Cited alongside, same era.
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, Miles Macklin, Jan Issac, Nathan Ratliff, and Dieter Fox · 2019
Later among the works it cites.
Pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2019
Later among the works it cites.
Chainqueen: A real-time differentiable physical simulator for soft robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B Tenenbaum, William T Freeman, Jiajun Wu, Daniela Rus, and Wojciech Matusik · 2019
Later among the works it cites.
Estimating 3d motion and forces of person-object interactions from monocular video
Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, and Josef Sivic · 2019
Later among the works it cites.
Bounce and learn: Modeling scene dynamics with real-world bounces
Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman, and Bryan Russell · 2019
Later among the works it cites.
Learning a generative model for multi-step human-object interactions from videos
He Wang, Sören Pirk, Ersin Yumer, Vladimir G Kim, Ozan Sener, Srinath Sridhar, and Leonidas J Guibas · 2019
Later among the works it cites.