Understanding hand-object manipulation by modeling the contextual
relationship between actions, grasp types and object attributes

Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes

22 July 2018

Yoichi Sato

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Papers citing "Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes"

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Title
Going Deeper into First-Person Activity Recognition Minghuang Ma Haoqi Fan Kris Kitani EgoV 71 306 0 12 May 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,846 0 02 Nov 2015
Fast R-CNN Ross B. Girshick ObjD 320 25,114 0 30 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang Manohar Paluri MarcÁurelio Ranzato Trevor Darrell Lubomir D. Bourdev CVBM 158 531 0 21 Nov 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 165 6,170 0 03 Dec 2012