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X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Challenges and Opportunities with Multimodal LLMs - Vicente Or
 dóñez-Román\, Associate Professor\, Rice University
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TZID:America/Vancouver
TZUNTIL:20251102T090000Z
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DTSTART:20231105T020000
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RDATE:20241103T020000
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CREATED:20240409T195954Z
DESCRIPTION:Abstract: In this talk I will provide an overview of how the fi
 eld of computer vision has been impacted by the recent success of Multimod
 al LLMs\, and what are some of the challenges and opportunities associated
  with these models. I will present some of our recent work leveraging Mult
 imodal LLMs\, including our SCoRD model that turns a multimodal LLM into a
  subject-conditional visual relation prediction and grounding model throug
 h enhanced text supervision. SCoRD takes as input an image and a subject a
 nd predicts an exhaustive list of all the objects interacting with the sub
 ject along with the…
DTSTART;TZID=America/Vancouver:20240415T100000
DTEND;TZID=America/Vancouver:20240415T110000
LAST-MODIFIED:20240409T200725Z
LOCATION:UBC Vancouver Campus\, ICCS X836
SUMMARY:Challenges and Opportunities with Multimodal LLMs - Vicente Ordóñez
 -Román\, Associate Professor\, Rice University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/index.php/event/challenges-and-opportunities-multi
 modal-llms-vicente-ordonez-roman-associate-professor-rice
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