[image 00031] 【講演会】Prof. Rene Vidal （5/10(金)10:30 早大理工）

[Hiroshi Ishikawa]

皆様

早稲田大学の石川と申します。

急ですが今週金曜日、MICCAIのAC会議のために来日するJohns Hopkins大学の
Prof. Rene Vidalをお迎えして下記の通り講演会を開催いたします。
事前登録不要、参加費無料ですので、ふるってご参加ください。

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日時:   5月10日(金) 10:30-11:30
場所:   早稲田大学55N号館1階第二会議室
　　　　http://www.waseda.jp/jp/campus/nishiwaseda.html
　　　　（地下鉄 副都心線 西早稲田駅 理工連絡口出てすぐ）

講師:   Prof. Rene Vidal (Johns Hopkins University)
　　　　http://cis.jhu.edu/~rvidal/

演題: Global Bag of Latent Features Models for Semantic Segmentation

講演概要:
Object segmentation and categorization are among the most important
and challenging problems in computer vision. While these two problems
are clearly related (e.g. identifying a person is easier if the person is
already segmented), most of the existing literature treats these tasks
separately. In this talk, I will present a unified approach where object
categorization, segmentation and dictionary learning are integrated
within the same mathematical framework. In our approach, we
represent objects in terms of a dictionary of visual words and propose
a latent conditional random field (CRF) model in which the observed
variables are category labels and the latent variables are visual word
assignments. The CRF energy consists of a segmentation cost, a bag of
(latent) words categorization cost, and a dictionary learning cost.
Together, these costs capture relationships between image features and
visual words, between visual words and object categories, and among
visual words. The segmentation, categorization, and dictionary learning
parameters are learned jointly using latent structural SVMs, and the
segmentation and visual words are inferred jointly using existing energy
minimization techniques.

講師略歴:
Professor Vidal received his B.S. degree in Electrical Engineering (highest honors)
from the Pontificia Universidad Catolica de Chile in 1997 and his M.S. and Ph.D.
degrees in Electrical Engineering and Computer Sciences from the University of
California at Berkeley in 2000 and 2003, respectively. He was a research fellow
at the National ICT Australia in 2003 and has been a faculty member in the
Department of Biomedical Engineering and the Center for Imaging Science of The
Johns Hopkins University since 2004. He has held several visiting faculty positions
at Stanford, INRIA/ENS Paris, the Catholic University of Chile, Universite Henri
Poincare, and the Australian National University. Dr. Vidal was co-editor (with
Anders Heyden and Yi Ma) of the book ``Dynamical Vision" and has co-authored
more than 150 articles in biomedical image analysis, computer vision, machine
learning, hybrid systems, robotics and signal processing. Dr. Vidal is Associate
Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, the
SIAM Journal on Imaging Sciences and the Journal of Mathematical Imaging and
Vision. He was or will be program chair for ICCV 2015, CVPR 2014, WMVC 2009,
and PSIVT 2007. He was area chair for CVPR 2013, ICCV 2011, ICCV 2007 and
CVPR 2005. Dr. Vidal is recipient of numerous awards for his work, including the
2012 J.K. Aggarwal Prize for ``outstanding contributions to generalized principal
component analysis (GPCA) and subspace clustering in computer vision and
pattern recognition", the 2012 Best Paper Award in Medical Robotics and
Computer Assisted Interventions (with Benjamin Bejar and Luca Zappella),
the 2011 Best Paper Award Finalist at the Conference on Decision and Control
(with Roberto Tron and Bijan Afsari), the 2009 ONR Young Investigator Award,
the 2009 Sloan Research Fellowship, the 2005 NFS CAREER Award and the 2004
Best Paper Award Honorable Mention (with Prof. Yi Ma) at the European Conference
on Computer Vision. He also received the 2004 Sakrison Memorial Prize for
"completing an exceptionally documented piece of research", the 2003 Eli Jury
award for "outstanding achievement in the area of Systems, Communications,
Control, or Signal Processing", the 2002 Student Continuation Award from NASA
Ames, the 1998 Marcos Orrego Puelma Award from the Institute of Engineers of
Chile, and the 1997 Award of the School of Engineering of the Pontificia Universidad
Catolica de Chile to the best graduating student of the school. He is a senior member
of the IEEE and a member of the ACM.