『実世界データ循環学』講演会@名大のご案内

33 views
Skip to first unread message

SUZUO Daichi

unread,
Feb 19, 2014, 8:52:09 AM2/19/14
to nago...@googlegroups.com
名古屋CV/PRML勉強会関係者の皆様,

幹事の名大 鈴尾です.

下記転送メールの通り,2月24日(月)に名古屋大学において,
名古屋大学 博士課程教育リーディングプログラムの主催で
MSRAの松下さんなどをお招きしての講演会が開催されます.
申し込み等不要とのことですので,是非ご参加ください.


---------- 転送メッセージ ----------
From: Ichiro IDE <i...@is.nagoya-u.ac.jp>
To: facu...@is.nagoya-u.ac.jp
Cc: 
Date: Fri, 07 Feb 2014 22:53:36 +0900
Subject: 博士課程教育リーディングプログラム「実世界データ循環学」講演会のお知らせ
研究科の皆様,

井手@情報系リーディングプログラムグローバル教育担当です。

本プログラムの学外プログラム担当者であるMicrosoft Research Asia の松下
康之氏らをお招きして講演会を開催しますので,
学内外の皆様お誘い合わせの
うえご来場をお待ちしております.

研究室や各専攻の学生さん及び、近隣の興味を持ちそうな研究者の方へもご案
内いただければ幸いです。

----------------------------------------------------------------------
名古屋大学 博士課程教育リーディングプログラム「実世界データ循環学」
講演会のお知らせ

[演題]Introduction to Microsoft Research

[演者]松下 康之 氏
        (Microsoft Research Asia, Senior Researcher)
        荒瀬 由紀 氏
        (Microsoft Research Asia, Associate Researcher)

[日時]平成26年 2月24日(月)  9:30 ~ 11:15
[場所]名古屋大学 東山キャンパス
        (アクセス:http://www.nagoya-u.ac.jp/access/
        工学部 IB電子情報館中棟 IB015講義室
        (地下鉄「西地区連絡出口」上ってすぐ)
        (アクセス:http://www.nagoya-u.ac.jp/upload_images/campus%20map2013.pdf のC3(1))

[概要]In this talk, we introduce Microsoft's fundamental research
        arm, Microsoft Research, where more than 1,100 scientists and
        engineers push the boundaries of computing in a wide spectrum
        of research disciplines. We also introduce internship stories,
        including what it is like doing an overseas internship, why
        an internship is a useful experience, and how to apply.
        In the second half of the talk, we briefly introduce some of
        the recent research works.
          1. High-fidelity 3D reconstruction via photometric approach
             (Computer Vision)
                Recent years have shown tremendous advances on 3D
                reconstruction in computer vision and sensing
                technologies. However, most of these techniques are
                limited to estimate a coarse-scale shape that lacks
                fine-details of the surface. In this talk, we will
                discuss a photometric 3D reconstruction approach with
                which fine-details are faithfully recovered using
                shading cues in the form of surface normal.
                Specifically, I will talk about recent photometric
                stereo techniques that robustly and accurately
                recover surface normal of a scene that has diverse
                 reflectance properties.
          2. Machine Translation Detection from Monolingual Web-Text
             (Natural Language Processing)
                Researchers have been mining Web-text for various
                applications, such as for knowledge-base construction
                and language modeling. However, burst instances of
                Web text are generated by machine translation indeed.
                Unfortunately, the quality of such machine
                translations is much lower than that of human-
                generated text. Applications built on such noisy data
                face serious quality issues. We propose a method for
                automatically identifying machine translations from
                Web-mined data. Unlike previous approaches, our method
                only uses monolingual text as input; therefore it is
                applicable for refining data produced by a variety of
                Web-mining activities.

[略歴]Yasuyuki Matsushita received his B.S., M.S. and Ph.D. degrees
        in EECS from The University of Tokyo in 1998, 2000, and 2003,
        respectively. He joined Microsoft Research Asia in April 2003.
        He is a Senior Researcher in Visual Computing Group. His areas
        of research are physics-based computer vision and 3D computer
        vision. He is on the editorial board member of IEEE
        Transactions on Pattern Analysis and Machine Intelligence
        (TPAMI), International Journal of Computer Vision (IJCV), IPSJ
        Journal of Computer Vision and Applications (CVA), The Visual
        Computer Journal, and Encyclopedia of Computer Vision. He
        served / is serving as a Program Co-Chair of PSIVT 2010,
        3DIMPVT 2011, and ACCV 2012, a General Co-Chair for ACCV 2014,
        an Area chair for CVPR in 2009 and 2013, ICCV in 2009 and
        2013, ECCV 2012, ACCV 2007. He is appointed as a Guest
        Associate Professor at Osaka University (April 2010-),
        Visiting Associate Professor at National Institute of
        Informatics (April 2011-) and Tohoku University (April 2012-),
        Japan. He is a senior member of IEEE.

        Yuki Arase received her B.E. (2006), M.I.S. (2007), and Ph.D.
        of Information Science (2010) from Osaka University, Japan. She
        joined Microsoft Research Asia as an associate researcher on
        April 2010. In her Ph.D., she studied HCI on mobile devices,
        especially how to present a large Web page on a small screen.
        She also worked on Web data mining. In MSRA, she is working on
        English / Japanese natural language processing. Her recent
        research interests include English paraphrase detection,
        Japanese / English statistical machine translation, and crowd-
        sourcing for natural language processing.

[主催]名古屋大学 博士課程教育リーディングプログラム
        「実世界データ循環学」リーダー人材養成プログラム
        http://www.rwdc.is.nagoya-u.ac.jp/

[協賛]IEEE 名古屋支部

[連絡先]
        名古屋大学 大学院情報科学研究科
        井手 一郎(052-789-3313, i...@is.nagoya-u.ac.jp
----------------------------------------------------------------------
--
■ 井手 一郎                                            i...@is.nagoya-u.ac.jp  ■
■ 名古屋大学大学院 情報科学研究科 メディア科学専攻                       ■
■       電話/ファクシミリ:(052)789-3313[直通]                       ■
■       住所:〒464-8601 名古屋市千種区不老町1 IB電子情報館461号室     ■
■       WWW: http://www.murase.m.is.nagoya-u.ac.jp/~ide/index-j.html      ■


--
□■━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 鈴尾 大地 (Daichi SUZUO)

 名古屋大学 大学院 情報科学研究科 メディア科学専攻
 村瀬研究室 博士前期課程2年
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━■□
Reply all
Reply to author
Forward
0 new messages