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TZID:Asia/Seoul
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DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20251120T045141Z
UID:5D7070B0-4F64-4ECA-B6AB-8CD0EA93FDE9
DTSTART;TZID=Asia/Seoul:20251113T160000
DTEND;TZID=Asia/Seoul:20251113T170000
DESCRIPTION:Title: Human Behavior Understanding: from Visible to Invisible\
 , then Generative\n\nSpeaker: Dr. Jianquan Liu\, Director &amp; Senior Princip
 al Researcher\, NEC Corporation\, Japan\n\nDate &amp; Time: November 13 (Thu)\
 , 2025\, 16:00 – 17:00\n\nAbstract: In this talk\, Dr. Liu will present 
 an industrial-level framework for sensing and understanding human behavior
  from multiple aspects. This integrative system supports an analysis of be
 havior derived from video footages via classic visible devices\, such as f
 ixed and 360-degree cameras\, as well as innovative &quot;invisible&quot; tech like 
 microwave sensors. The framework further enables the creation of informati
 ve reports and short video clips generated from large language models (LLM
 s). This presentation will highlight various research milestones within ou
 r framework\, which have significantly contributed to both the academia an
 d industries. Our framework is composed of a series of cutting-edge techno
 logies that sense the data generated in the real world\, transform them in
 to readable\, visible\, and modellable digital forms\, and finally analyze
  these digital data to understand the human behavior. This framework inclu
 des sensing techniques via traditional cameras [MM&#39;16\, SIGGRAPH&#39;16]\, 360
 -degree cameras [MM&#39;19\, WACV&#39;20\, ICIP&#39;21]\, and microwave sensors [MM&#39;20
 ]. Further\, it includes behavior analysis in the realms of action recogni
 tion\, object tracking\, human and object interactions\, scene recognition
 \, and behavioral pattern analysis [ICMR&#39;18]\, making the extraction\, vis
 ualization\, and summarization feasible [MM&#39;22\, NarSUM&#39;23\, ICMR&#39;24]\, al
 l to thoroughly interpret human behavior. These works will be introduced i
 n the way of a general overview with interactive technical demos and inter
 esting insights\, for human behavior sensing and understanding by adopting
  effective processing techniques and designing efficient algorithms. Final
 ly\, Dr. Liu will share some challenges and directions for further underst
 anding in the Era of Generative AI.\n\nBiosketch: Jianquan Liu is currentl
 y a Director and Senior Principal Researcher at NEC Corporation\, working 
 on the topics of multimedia data processing. He is also a Visiting Profess
 or at Nagoya University and an Adjunct Professor at Hosei University\, Jap
 an. Prior to NEC\, he was with Tencent Inc. from 2005 to 2006. He has publ
 ished 80+ papers at major international/domestic conferences and journals 
 and filed 100+ PCT patents. He also successfully transformed these technol
 ogical contributions into commercial products in the industry. For his ind
 ustry contributions\, Dr. Liu has received the DBSJ Young Researcher’s A
 chievement and Contribution Award 2024\, the IEICE Achievement Award 2023\
 , the ITE Niwa &amp; Takayanagi Achievement Award 2023\, the 69th Electrical S
 cience and Engineering Promotion Award\, and the Minister of Education\, C
 ulture\, Sports\, Science and Technology (MEXT) Award in 2021\, the KANTO 
 Invention and Innovation Award 2021\, the IPSJ Research and Engineering Aw
 ard 2020 and the IPSJ Industrial Achievement Award 2018. Currently\, Dr. L
 iu is/was serving as a Member-at-Large of IEEE SPS Industry Board (2025-20
 26)\, the Industry Co-chair of IEEE ICIP 2023\, 2025 and ACM MM 2023\, 202
 4\, 2025\; the General Co-chair of IEEE MIPR 2021\; the PC Co-chair of IEE
 E IRI 2022\, ICME 2020\, AIVR 2019\, BigMM 2019\, ISM 2018\, ICSC 2018\, e
 tc. He is a senior member of ACM\, IEEE\, and IPSJ\, and a member of IEICE
 \, APSIPA and DBSJ\, and an associate editor of IEEE TMM (2021-2024)\, ACM
  TOMM (2022-)\, EURASIP JIVP (2023-)\, IEEE MultiMedia Magazine (2019-2022
 )\, ITE Transaction on Media Technology and Applications (2021-)\, APSIPA 
 Transactions on Signal and Information Processing (2022-)\, and the Journa
 l of Information Processing (2017-2021). Dr. Liu received the M.E. and Ph.
 D. degrees from the University of Tsukuba\, Japan.\n\nCo-sponsored by: Sun
 gkyunkwan University\n\nSpeaker(s): Jianquan Liu\n\nRoom:  9B113\, Bldg: I
 nternational Hall\, 25-2\, SUNGKYUNKWAN-RO\, JONGNO-GU\, Seoul\, Seoul\, S
 outh Korea\, 03063
LOCATION:Room:  9B113\, Bldg: International Hall\, 25-2\, SUNGKYUNKWAN-RO\,
  JONGNO-GU\, Seoul\, Seoul\, South Korea\, 03063
ORGANIZER:bjeon@skku.edu
SEQUENCE:27
SUMMARY:Colloquium on Immersive Media: Human Behavior Understanding: from V
 isible to Invisible\, then Generative
URL;VALUE=URI:https://events.vtools.ieee.org/m/511374
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;&lt;u&gt;&lt;spa
 n style=&quot;font-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;Titl
 e&lt;/span&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span style=&quot;font-size: 10.5pt\; font-family: &#39;Times 
 New Roman&#39;\,serif\;&quot;&gt;: &lt;span class=&quot;s1&quot;&gt;&lt;span style=&quot;mso-ansi-font-size: 1
 0.5pt\; mso-bidi-font-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,serif
 \;&quot;&gt;Human Behavior Understanding: from Visible to Invisible\, then Generat
 ive&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;u&gt;&lt;span style=
 &quot;mso-bidi-font-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;Spe
 aker&lt;/span&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span style=&quot;mso-bidi-font-size: 10.5pt\; font-fam
 ily: &#39;Times New Roman&#39;\,serif\;&quot;&gt;: Dr. Jianquan Liu\, Director &amp;amp\; Seni
 or Principal Researcher\, NEC Corporation\, Japan&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;Ms
 oNormal&quot;&gt;&lt;strong&gt;&lt;u&gt;&lt;span style=&quot;mso-bidi-font-size: 10.5pt\; font-family:
  &#39;Times New Roman&#39;\,serif\;&quot;&gt;Date &amp;amp\; Time&lt;/span&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span sty
 le=&quot;mso-bidi-font-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;
 : November 13 (Thu)\, 2025\, 16:00 &amp;ndash\; 17:00&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;Ms
 oNormal&quot;&gt;&lt;span style=&quot;mso-bidi-font-size: 10.5pt\; font-family: &#39;Times New
  Roman&#39;\,serif\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;p1&quot; style=&quot;text-align: jus
 tify\; text-justify: inter-ideograph\;&quot;&gt;&lt;strong&gt;&lt;u&gt;&lt;span style=&quot;font-size:
  10.5pt\; font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;Abstract&lt;/span&gt;&lt;/u&gt;&lt;/st
 rong&gt;&lt;span style=&quot;font-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,seri
 f\;&quot;&gt;: In this talk\, Dr. Liu will present an industrial-level framework f
 or sensing and understanding human behavior from multiple aspects. This in
 tegrative system supports an analysis of behavior derived from video foota
 ges via classic visible devices\, such as fixed and 360-degree cameras\, a
 s well as innovative &quot;invisible&quot; tech like microwave sensors. The framewor
 k further enables the creation of informative reports and short video clip
 s generated from large language models (LLMs). This presentation will high
 light various research milestones within our framework\, which have signif
 icantly contributed to both the academia and industries. Our framework is 
 composed of a series of cutting-edge technologies that sense the data gene
 rated in the real world\, transform them into readable\, visible\, and mod
 ellable digital forms\, and finally analyze these digital data to understa
 nd the human behavior. This framework includes sensing techniques via trad
 itional cameras [MM&#39;16\, SIGGRAPH&#39;16]\, 360-degree cameras [MM&#39;19\, WACV&#39;2
 0\, ICIP&#39;21]\, and microwave sensors [MM&#39;20]. Further\, it includes behavi
 or analysis in the realms of action recognition\, object tracking\, human 
 and object interactions\, scene recognition\, and behavioral pattern analy
 sis [ICMR&#39;18]\, making the extraction\, visualization\, and summarization 
 feasible [MM&#39;22\, NarSUM&#39;23\, ICMR&#39;24]\, all to thoroughly interpret human
  behavior. These works will be introduced in the way of a general overview
  with interactive technical demos and interesting insights\, for human beh
 avior sensing and understanding by adopting effective processing technique
 s and designing efficient algorithms. Finally\, Dr. Liu will share some ch
 allenges and directions for further understanding in the Era of Generative
  AI.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;p1&quot; style=&quot;text-align: justify\; text-justify: 
 inter-ideograph\;&quot;&gt;&lt;strong&gt;&lt;u&gt;&lt;span style=&quot;font-size: 10.5pt\; font-family
 : &#39;Times New Roman&#39;\,serif\;&quot;&gt;Biosketch&lt;/span&gt;&lt;/u&gt;&lt;/strong&gt;&lt;span style=&quot;fo
 nt-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;: &lt;span class=&quot;
 s1&quot;&gt;&lt;span style=&quot;mso-ansi-font-size: 10.5pt\; mso-bidi-font-size: 10.5pt\;
  font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;Jianquan Liu is currently a Dire
 ctor and Senior Principal Researcher at NEC Corporation\, working on the t
 opics of multimedia data processing. He is also a Visiting Professor at Na
 goya University and an Adjunct Professor at Hosei University\, Japan. Prio
 r to NEC\, he was with Tencent Inc. from 2005 to 2006. He has published 80
 + papers at major international/domestic conferences and journals and file
 d 100+ PCT patents. He also successfully transformed these technological c
 ontributions into commercial products in the industry. For his industry co
 ntributions\, Dr. Liu has received the DBSJ Young Researcher&amp;rsquo\;s Achi
 evement and Contribution Award 2024\, the IEICE Achievement Award 2023\, t
 he &lt;/span&gt;&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&lt;strong&gt;&lt;span style=&quot;mso-ansi-font-size:
  10.5pt\; mso-bidi-font-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,ser
 if\;&quot;&gt;ITE Niwa &amp;amp\; Takayanagi Achievement Award 2023&lt;/span&gt;&lt;/strong&gt;&lt;/s
 pan&gt;&lt;span class=&quot;s1&quot;&gt;&lt;span style=&quot;mso-ansi-font-size: 10.5pt\; mso-bidi-fo
 nt-size: 10.5pt\; font-family: &#39;Times New Roman&#39;\,serif\;&quot;&gt;\, the 69th Ele
 ctrical Science and Engineering Promotion Award\, and the Minister of Educ
 ation\, Culture\, Sports\, Science and Technology (MEXT) Award in 2021\, t
 he KANTO Invention and Innovation Award 2021\, the IPSJ Research and Engin
 eering Award 2020 and the IPSJ Industrial Achievement Award 2018. Currentl
 y\, Dr. Liu is/was serving as a Member-at-Large of IEEE SPS Industry Board
  (2025-2026)\, the Industry Co-chair of IEEE ICIP 2023\, 2025 and ACM MM 2
 023\, 2024\, 2025\; the General Co-chair of IEEE MIPR 2021\; the PC Co-cha
 ir of IEEE IRI 2022\, ICME 2020\, AIVR 2019\, BigMM 2019\, ISM 2018\, ICSC
  2018\, etc. He is a senior member of ACM\, IEEE\, and IPSJ\, and a member
  of IEICE\, APSIPA and DBSJ\, and an associate editor of IEEE TMM (2021-20
 24)\, ACM TOMM (2022-)\, EURASIP JIVP (2023-)\, IEEE MultiMedia Magazine (
 2019-2022)\, ITE Transaction on Media Technology and Applications (2021-)\
 , APSIPA Transactions on Signal and Information Processing (2022-)\, and t
 he Journal of Information Processing (2017-2021). Dr. Liu received the M.E
 . and Ph.D. degrees from the University of Tsukuba\, Japan.&lt;/span&gt;&lt;/span&gt;&lt;
 /span&gt;&lt;/p&gt;
END:VEVENT
END:VCALENDAR