ISHIKAWA, Hiroshi

J-GLOBAL         Last updated: Nov 28, 2019 at 02:57
 
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Name
ISHIKAWA, Hiroshi
URL
http://hi.cs.waseda.ac.jp
Affiliation
Waseda University
Section
Faculty of Science and Engineering School of Fundamental Science and Engineering
Job title
Professor
Degree
Ph.D. in Computer Science(New York University (USA)), Master of Science(Kyoto University)
Research funding number
60381901

Research Areas

 
 

Academic & Professional Experience

 
2000
 - 
2001
Associate Research Scientist, Courant Institute of Mathematical Sciences, New York University
 
2004
 - 
2005
Assistant Professor, Department of Information and Biological Sciences, Nagoya City University
 
2005
 - 
2010
Asscociate Professor, Department of Information and Biological Sciences, Nagoya City University
 
2009
 - 
2013
PRESTO (Sakigake) Researcher, JST
 
2010
 - 
2010
Professor, Department of Information and Biological Sciences, Nagoya City University
 

Education

 
 
 - 
1991
Mathematics, Faculty of Science, Kyoto University
 
 
 - 
1993
Mathematics, Graduate School, Division of Natural Science, Kyoto University
 
 
 - 
2000
Computer Science, New York University
 

Committee Memberships

 
2005
   
 
IAPR Conference on Machine Vision Applications(MVA)  Organizing Committee Member
 
2006
 - 
2007
Tenth IAPR Conference on Machine Vision Applications (MVA2007).  Local Arrangement Chair
 
2007
 - 
2010
IPSJ SIG-CVIM: Computer Vision and Image Media  Organizing Committee Member
 
2007
 - 
2011
IEEE International Conference on Computer Vision (ICCV 2007, 2009, 2011)  Program Committee Member
 
2008
 - 
2008
Meeting on Image Recognition and Understanding (MIRU2008)  Area Chair
 

Awards & Honors

 
Jun 2019
75th Annual IEICE Best Paper Award, The Institute of Electronics, Information and Communication Engineers
 
Oct 2016
Innovative Technologies 2016 Special Prize for Culture, Ministry of Economy, Trade and Industry
 
Jul 2009
MIRU Nagao Award (Best Paper Award)
 
Dec 2006
Young Author Award, IEEE Computer Society Japan Chapter
 
Jul 2006
MIRU2006 Excellent Paper Award
 

Published Papers

 
Temporal Distance Matrices for Squat Classification
R. Ogata, E. Simo-Serra, S. Iizuka, and H. Ishikawa
Fifth International Workshop on Computer Vision in Sports (CVsports) at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)      Jun 2019   [Refereed]
Optimization-Based Data Generation for Photo Enhancement
M. Omiya, Y. Horiuchi, E. Simo-Serra, S. Iizuka, and H. Ishikawa
New Trends in Image Restoration and Enhancement Workshop (NITRE2019) at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)      Jun 2019   [Refereed]
Y. Horiuchi, E. Simo-Serra, S. Iizuka, and H. Ishikawa
The 16th International Conference on Machine Vision Applications (MVA 2019)      May 2019   [Refereed]
M. Fujitani, Y. Mochizuki, S. Iizuka, E. Simo-Serra, H. Kobayashi, C. Iwamoto, K. Ohuchida, M. Hashizume, H. Hontani, and H. Ishikawa
The 16th International Conference on Machine Vision Applications (MVA 2019)      May 2019   [Refereed]
M. Omiya, E. Simo-Serra, S. Iizuka, and H. Ishikawa
SIGGRAPH Asia 2018 Technical Briefs      Dec 2018   [Refereed]

Books etc

 
"Graph Cuts—Combinatorial Optimization in Vision" (Chapter 2), Olivier Lezoray and Leo Grady ed."Image Processing and Analysis with Graphs: Theory and Practice"
Hiroshi Ishikawa (Part:Joint Work)
CRC Press   Jul 2012   ISBN:9781439855072
"Optimizing Multi-Label MRFs with Convex and Truncated Convex Priors" (Chapter 4), Andrew Blake, Pushmeet Kohli, and Carsten Rother ed. "Markov Random Fields for Vision and Image Processing"
Hiroshi Ishikawa and Olga Veksler (Part:Joint Work)
MIT Press   Sep 2011   ISBN:9780262015776
「グラフカット」(第2章, pp. 39-74) 斎藤英雄・八木康史(編)「コンピュータビジョン最先端ガイド1: Level Set, Graph Cut, Particle Filter, Tensor, AdaBoost」
石川 博 (Part:Joint Work)
アドコム・メディア   Dec 2008   ISBN:9784915851346
“Local Feature Selection and Global Energy Optimization in Stereo,” (Chapter 22, pp. 411-430), Rustam Stolkin ed. "Scene Reconstruction, Pose Estimation and Tracking"
H. Ishikawa and D. Geiger (Part:Joint Work)
I-Tech Education and Publishing   2007   ISBN:3902613066

Conference Activities & Talks

 
The Future of Computer Graphics in the Age of AI and Social Media [Invited]
Hiroshi Ishikawa
Computer Graphics International   19 Jun 2019   
Higher-Order Random Fields for Image Segmentation [Invited]
Hiroshi Ishikawa
Computer Graphics International   17 Jun 2019   
Structured Prediction by Fully Convolutional Deep Neural Networks [Invited]
Hiroshi Ishikawa
Irish Machine Vision and Image Processing Conference   29 Aug 2018   Irish Pattern Recognition and Classification Society
Image Completion by CNN with Global and Local Consistency [Invited]
Hiroshi Ishikawa
SIAM Conference on Imaging Science   6 Jun 2018   Society for Industrial and Applied Mathematics
Image Transformation with Deep Learning [Invited]
Hiroshi Ishikawa
Seventh Symposium on Biometrics, Recognition and Authentication   13 Nov 2017   

Research Grants & Projects

 
Analysis of geological activities of asteroids using high definition shape models
Project Year: Apr 2013 - Mar 2016
We developed a method for high resolution 3D shape reconstruction of asteroids with a combination of SPC and SfM methods and a 3D geographical information system for asteroid data analysis. By utilizing these research environment, we analyzed imag...
Enhanced Generalizability by Structural Model Learning
Project Year: Apr 2013 - Mar 2015
In the convolutional neural network (CNN), features with invariance under parallel translation, which is essential in image recognition tasks, can be learned by training the neurons that translate to each other by parallel translation together so ...
Approximate optimization and learning of higher-order energy
Project Year: Apr 2012 - Mar 2015
We realized an algorithm that approximately minimize non-submodular multi-label energies. We also made it possible to minimize binary higher-order energies faster and with less memory by enabling to reduce them into first-order energies without ad...