[image 03346] [9th CODH Seminar 2019-01-08 16:00-] Computer Vision with Limited Labeled Data

[KITAMOTO Asanobu]

Dear Image-ML members,

We are pleased to announce that Satoshi Tsutsui, a PhD candidate at 
Indiana University in USA, will give a talk about computer vision, 
especially about computer vision with limited labeled data. You are all 
invited. Registration in advance is required.

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9th CODH Seminar
Computer Vision with Limited Labeled Data
http://codh.rois.ac.jp/seminar/computer-vision-20190108/

Speaker    Satoshi Tsutsui
Date    16:30-17:30, January 8 (Tue), 2019
Venue    1208 Meeting Room (12F), National Institute of Informatics.
Language    English
Abstract    Computer vision is making remarkable progress these days 
supported by deep learning. Deep learning requires huge amount of 
training data, but the cost to annotate many images is often high. 
Various approaches have been proposed to circumvent this problem such as 
transfer learning, semi-supervised learning, data argumentation, and 
training data synthesis, but the best strategy depends on the specific 
application. This talk discusses several case studies on computer vision 
with limited labeled data. The examples include scientific figure 
detection, drivable space segmentation for self-driving cars, anatomical 
segmentation for pelvic magnetic resonance images, nail detection for 
nail disease images, and children's visual learning analysis with 
head-mounted camera.
Bio    Satoshi Tsutsui is a PhD candidate at Indiana University in USA, 
advised by David Crandall. He is interested in computer vision, deep 
learning, and their applications. In the past, he interned at Peking 
University in China where he worked on computer vision for medical 
applications, and at Preferred Networks in Japan where he worked on 
computer vision for autonomous driving. Detail: 
http://homes.sice.indiana.edu/stsutsui/

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Asanobu KITAMOTO
Center for Open Data in the Humanities
National Institute of Informatics
http://researchmap.jp/kitamoto/