Sugano Yusuke

J-GLOBAL         Last updated: Apr 23, 2019 at 16:17
 
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Name
Sugano Yusuke
E-mail
suganoiis.u-tokyo.ac.jp
Affiliation
The University of Tokyo
Section
Institute of Industrial Science
Job title
Associate Professor
Other affiliation
Osaka University

Published Papers

 
Hiromichi Hashizume,Ayumu Kaneko,Yusuke Sugano,Koji Yatani,Masanori Sugimoto
Proceedings of the 2005 IEEE Region 10 Conference (TENCON 2005)   1-6   Nov 2005   [Refereed]
Real-time Modeling of Face Deformation for 3D Head Pose Estimation
OKA KENJI, SUGANO YUSUKE, SATO YOICHI
47(10) 185-194   Jul 2006   [Refereed]
Yusuke Sugano,Yoichi Sato
Proceedings of the Third International Workshop on Analysis and Modeling of Faces and Gestures (in conjunction with ICCV 2007)   58-70   Oct 2007   [Refereed]
Person-independent Monocular Tracking of Face and Facial Actions
1(2) 41-49   Jul 2008   [Refereed]
Yusuke Sugano,Yasuyuki Matsushita,Yoichi Sato,Hideki Koike
10th European Conference on Computer Vision (ECCV 2008)   656-667   Nov 2008   [Refereed]

Misc

 
Scene viewing and gaze analysis during phonetic segmentation tasks
Arif Khan, Ingmar Steiner, Ross Macdonald, Yusuke Sugano, Andreas Bulling
European Conference on Eye Movements      Aug 2015
OZAKI Yasunori, SUGANO Yusuke, SATO Yoichi
Technical report of IEICE. PRMU   113(493) 1-6   Mar 2014
In this work, we report the result of the estimation for user's image preference by computer with gaze information and image features. Previously, other researchers have proposed to extract image features from gaze positions in the field of activi...
YE BINBIN, SUGANO YUSUKE, SATO YOICHI
Technical report of IEICE. PRMU   113(196) 71-76   Aug 2013
Learning-based approaches for modeling visual saliency using a data set of human fixations are becoming increasingly popular in recent years. However, most of the prior studies do not consider individual differences in visual attention, which migh...
Kasai Hiroshi, OGAKI Keisuke, SUGANO Yusuke, SATO Yoichi
ITE Technical Report   37(12) 55-58   Feb 2013
The goal of this research is estimating image preference from eye movements. Our method extracts statistical features from eye gaze and use a random forest classifier for supervised classification of image preference. Through the experiments, we s...
窪田秀行, 菅野裕介, 岡部孝弘, 佐藤洋一, 杉本晃宏, 開一夫
Vision   24(1) 14   Jan 2012