Biography

Yuta Nakashima is an associate professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.

Interests

  • Computer Vision
  • Pattern Recognition
  • Natural Language Processing

Education

  • PhD in Engineering, 2012

    Osaka University

  • ME, 2008

    Osaka University

  • BE, 2006

    Osaka University

Experience

 
 
 
 
 

Associate Professor

Institute for Datability Science, Osaka University

Jan 2017 – Present Osaka, Japan
 
 
 
 
 

Visiting Scholar

Robotics Institute, Carnegie Mellon University

Apr 2015 – Mar 2016 Pennsylvania, US
 
 
 
 
 

Assistant Professor

Nara Institute of Science and Technology

Apr 2012 – Dec 2016 Nara, Japan
 
 
 
 
 

Visiting Scholar

University of North Carolina at Charlotte

Feb 2012 – Mar 2012 North Carolina, US
 
 
 
 
 

JSPS Research Fellow (PD)

Osaia University

Feb 2012 – Mar 2012 Osaka, Japan
 
 
 
 
 

JSPS Research Fellow (DC2)

Osaia University

Oct 2008 – Jan 2012 Osaka, Japan

Awards

教育功労賞

電子情報通信学会 Mar 2018

Recognition as Excellent Research Work and Collaboration

Microsoft Research Japan-Korea Academic Day 2016 May 2016

Open Paper Award

2013 IEEE Internatinal Conference on Image Processing Sep 2013
Infering what the videographer wanted to capture
Y. Nakashima and N. Yokoya

Recent Posts

Projects

Video Summary

Knowledge VQA

Visual question answering (VQA) with knowledge is a task that requires knowledge to answer questions on images/video. This additional requirement of knowledge poses an interesting challenge on top of the classic VQA tasks.

Recent Publications

ContextNet: representation and exploration for painting classification and retrieval in context

In automatic art analysis, models that besides the visual elements of an artwork represent the relationships between the different …
PDF DOI

Speech-driven face reenactment for a video sequence

We present a system for reenacting a person’s face driven by speech. Given a video sequence with the corresponding audio track of …
DOI

Human shape reconstruction with loose clothes from partially observed data by pose specific deformation

Reconstructing the entire body of moving human in a computer is important for various applications, such as tele-presence, virtual …
DOI

Legal information as a complex network: Improving topic modeling through homophily

Topic modeling is a key component to computational legal science. Network analysis is also very important to further understand the …
DOI

BUDA.ART: A multimodal content-based analysis and retrieval system for Buddha statues

We introduce BUDA.ART, a system designed to assist researchers in Art History, to explore and analyze an archive of pictures of Buddha …
PDF DOI
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