[image 03603] 講演会のお知らせ: Prof. Michael Ying Yang, University of Twente

[Shin'ichi Satoh]

image-mlの皆様、

国立情報学研究所の佐藤真一です。University of TwenteのMichael Ying
Yang博士による以下の講演会のお知らせをお送りいたします。参加無料、参加
登録も不要です。どうぞご参加下さい。

-- Shin'ichi

日時: 2019年7月26日(金) 17:00-18:00
場所: 国立情報学研究所 15階 1512会議室
http://www.nii.ac.jp/access/

Title:
Towards Deep Visual Scene Understanding

Speaker: Dr. Michael Ying Yang
         Assistant Professor, University of Twente

Abstract:
Inspired by the ability of humans to interpret and understand visual
scenes nearly effortlessly, the problem of visual scene understanding
has long been advocated as the "holy grail" of computer vision. In
recent years there has been considerable progress on many sub-problems
of the overall scene understanding problem. Due to the rise of deep
learning, the performance for these sub-tasks starts to achieve
remarkable performance levels. This talk highlights recent progress on
some essential components such as semantic segmentation and object
recognition. These efforts are part of a longer-term agenda towards
deep visual scene understanding.

Bio:
Michael Ying Yang is currently Assistant Professor with University of
Twente (the Netherlands), heading a group working on scene
understanding. He received the PhD degree from University of Bonn
(Germany) in 2011. From 2012 to 2015, he was a Postdoc at Leibniz
University Hannover. From 2015 to 2016, he was a Senior Researcher at
TU Dresden. His research interests are in the fields of computer
vision with specialization on scene understanding and semantic
interpretation from imagery and videos. He published over 80 articles
in international journals and conference proceedings and co-supervise
7 PhD students. He serves as Associate Editor of Photogrammetric
Engineering & Remote Sensing, co-chair of ISPRS working group II/5
Dynamic Scene Analysis, and recipient of the ISPRS President's
Honorary Citation (2016) and Best Science Paper Award at BMVC
2016. Since 2016, he is a Senior Member of IEEE.