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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260616T061305Z
UID:Seminar-pizza-1089@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Qiyi Tang:MAILTO:Qiyi.Tang@liverpool.ac.uk
DTSTART:20231117T140000
DTEND:20231117T150000
SUMMARY:Friday Lunch and Talk Series
DESCRIPTION:Guangliang Cheng: From Scene Understanding to Vision-Language Joint Understanding\n\nThe field of computer vision has experienced remarkable advancements in recent years, as efforts have been made to enable machines to comprehend visual scenes and derive meaningful information from images and videos. However, traditional approaches to scene understanding have primarily focused on isolated visual analysis, disregarding the wealth of semantic knowledge and contextual understanding that can be acquired through the incorporation of natural language processing. Consequently, there has been a shift in paradigm towards the emerging research area of vision-language joint understanding, which aims to bridge the gap between visual and linguistic modalities in order to achieve a more comprehensive understanding of visual content.\n\nDuring this presentation, I will provide a brief overview of my previous research endeavours pertaining to Scene Understanding. I will also summarize our most recent research advancements in the field of vision-language joint understanding, highlighting some pioneering works. Furthermore, we will also discuss the challenges and future research directions in addressing the problems of language-vision joint understanding.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1089
LOCATION:Ashton Lecture Theatre
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