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DTSTART:20250309T030000
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DTSTART:20251102T010000
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DTSTAMP:20250416T221611Z
UID:989E430D-5F0A-4CFF-B2BA-07C8C8E58D2D
DTSTART;TZID=America/Los_Angeles:20250415T173000
DTEND;TZID=America/Los_Angeles:20250415T183000
DESCRIPTION:In this talk\, Dr Subarna Tripathi\, will share exciting advanc
 ements from her research group\, Visual Algorithm Research\, at Intel Labs
 . In her own words... &quot;in the first part of my talk\, I will cover several
  video representations methods such as sparse graphs and sparse transforme
 rs that are equipped with long-form reasoning capability. In the second pa
 rt\, I will focus on our research addressing egocentric use cases and seve
 ral associated algorithmic advancements. I will conclude with our recent w
 ork around video large language models&quot;.\n\nCo-sponsored by: Media Partner
 : Open Research Institute (ORI)\n\nSpeaker(s): Dr. Subarna Tripathi\n\nAge
 nda: \n- Invited talk from Dr. Subarna Tripathi\, research scientist at [I
 ntel Labs](https://intelailabpage.github.io/)\, working in computer vision
  and machine learning.\n- Q/A Session\n\nVirtual: https://events.vtools.ie
 ee.org/m/478569
LOCATION:Virtual: https://events.vtools.ieee.org/m/478569
ORGANIZER:upalmahbub@yahoo.com
SEQUENCE:91
SUMMARY:Towards Long-Form Video Representation Learning : Sparse Representa
 tions\, Leveraging Domain knowledge and Video-Large Language Models
URL;VALUE=URI:https://events.vtools.ieee.org/m/478569
X-ALT-DESC:Description: &lt;br /&gt;&lt;div id=&quot;list_meeting_header&quot;&gt;\n&lt;p&gt;In this ta
 lk\, Dr Subarna Tripathi\, will share exciting advancements from her resea
 rch group\, Visual Algorithm Research\, at Intel Labs. In her own words...
  &quot;in the first part of my talk\, I will cover several video representation
 s methods such as sparse graphs and sparse transformers that are equipped 
 with long-form reasoning capability. In the second part\, I will focus on 
 our research addressing egocentric use cases and several associated algori
 thmic advancements. I will conclude with our recent work around video larg
 e language models&quot;.&lt;/p&gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;ul&gt;\n&lt;li&gt;Invited
  talk from Dr. Subarna Tripathi\, research scientist at&amp;nbsp\;&lt;a href=&quot;htt
 ps://intelailabpage.github.io/&quot;&gt;Intel Labs&lt;/a&gt;\, working in computer visio
 n and machine learning.&lt;/li&gt;\n&lt;li&gt;Q/A Session&lt;/li&gt;\n&lt;/ul&gt;
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