Learning Object-Action Relations from Bimanual Human Demonstration Using
Graph Networks

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Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks

22 August 2019

Christian R. G. Dreher

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Papers citing "Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks"

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Title
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Gines Hidalgo Tomas Simon S. Wei Yaser Sheikh 3DH CVBM 124 4,598 0 18 Dec 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 769 3,129 0 04 Jun 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 130 21,482 0 08 Apr 2018
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset Dima Damen Hazel Doughty G. Farinella Sanja Fidler Antonino Furnari ... Davide Moltisanti Jonathan Munro Toby Perrett Will Price Michael Wray EgoV 133 1,038 0 08 Apr 2018
Towards Automatic Learning of Procedures from Web Instructional Videos Luowei Zhou Chenliang Xu Jason J. Corso EgoV 75 830 0 28 Mar 2017
Going Deeper into Action Recognition: A Survey Samitha Herath Mehrtash Harandi Fatih Porikli 96 617 0 16 May 2016
RGB-D-based Action Recognition Datasets: A Survey Jing Zhang W. Li P. Ogunbona Pichao Wang Chang-Fu Tang 54 256 0 21 Jan 2016
Analyzing Whole-Body Pose Transitions in Multi-Contact Motions Christian Mandery Júlia Borràs Sol M. Jöchner Tamim Asfour 32 24 0 31 Jul 2015
Learning Human Activities and Object Affordances from RGB-D Videos H. Koppula Rudhir Gupta Ashutosh Saxena 167 730 0 04 Oct 2012