[image 01759] 講演会(5/17)のご案内

[Akihiro Sugimoto]

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杉本
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日時: 5/17 (火)  16:30〜17:30
場所: 国立情報学研究所　19F 1901&1902号室
          （東京都千代田区一ツ橋)
         http://www.nii.ac.jp/about/access/

講演者:  Greg Mori
             http://www.cs.sfu.ca/~mori
             Professor and Director
            School of Computing Science
            Simon Fraser University, Canada

タイトル: Deep Structured Models for Group Activities and Label Hieararchies

アブスト
Visual recognition involves reasoning about structured relations at
multiple levels of detail.  For example, human behaviour analysis
requires a comprehensive labeling covering individual low-level
actions to pair-wise interactions through to high-level events.  Scene
understanding can benefit from considering labels and their
inter-relations.  In this talk I will present recent work by our group
building deep learning approaches capable of modeling these
structures.  I will present hierarchical temporal models built from
long short-term memory (LSTM) units, for group activity recognition.
General purpose structured inference machines will be described,
building from notions of message passing within graphical models.
These will be used in models for inferring individual and group
activity and modeling structured relations for image labeling
problems.

Bio:

Greg Mori received the Ph.D. degree in Computer Science from the
University of California, Berkeley in 2004. He received an
Hon. B.Sc. in Computer Science and Mathematics with High Distinction
from the University of Toronto in 1999.  He is currently 
Professor and Director of the School of Computing Science at Simon Fraser
University. His research interests are in computer vision and machine
learning, and include object recognition, human activity recognition,
and human body pose estimation.  He is an Associate Editor of IEEE
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), an
Editorial Board member for the International Journal of Computer
Vision (IJCV), and serves on the program committees of major computer
vision conferences (CVPR, ECCV, ICCV).  He received the Excellence in
Undergraduate Teaching Award from the SFU Computing Science Student
Society in 2006, the Canadian Image Processing and Pattern Recognition
Society (CIPPRS) Award for Research Excellence and Service in 2008, 
NSERC Discovery Accelerator Supplements in 2008 and 2016, and the SFU FAS Award
for Excellence in Research (early career) in 2011.

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