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DTSTAMP:20241211T053550Z
UID:D80957F6-8EDD-4F89-90FB-5CD6FE928C3E
DTSTART;TZID=America/Los_Angeles:20241210T173000
DTEND;TZID=America/Los_Angeles:20241210T183000
DESCRIPTION:Event cameras\, also known as Dynamic Vision Sensors (DVS)\, ar
 e an emerging visual modality\nthat is attracting significant interest in 
 the fields of robotics and computer vision. These cameras\nare distinguish
 ed by their exceptionally high temporal resolution and dynamic range\, low
  yet\nadaptive power consumption\, sparse output\, and a dynamic vision sc
 heme akin to mammalian\nperception. Such attributes have enabled their suc
 cess in various computer vision applications\,\nincluding feature tracking
 \, optical flow estimation\, and pose estimation.\nAs a promising and rapi
 dly growing field\, the body of research on event cameras has expanded\nsi
 gnificantly in recent years\, and their applications are becoming increasi
 ngly widespread. The\nspike-like characteristics of event cameras make the
 m an ideal visual modality for spiking neural\nnetworks and graph neural n
 etworks\, enhancing their potential for next-generation computing.\nIn thi
 s talk\, I will provide an overview of the domain of event cameras\, highl
 ighting their unique\ncharacteristics\, diverse applications\, and potenti
 al future developments. Additionally\, I will\npresent some of our feature
 d works in this field.\n\nSpeaker(s): Zhongyang Zhang\n\nAgenda: \n- Invit
 ed talk from Zhongyang Zhang \, from the University of California\, San Di
 ego\n- Q/A Session\n\nVirtual: https://events.vtools.ieee.org/m/446272
LOCATION:Virtual: https://events.vtools.ieee.org/m/446272
ORGANIZER:ananyamukh6@gmail.com
SEQUENCE:15
SUMMARY:Dynamic Vision Sensors (Event camera) and their Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/446272
X-ALT-DESC:Description: <br /><p>Event cameras\, also known as Dynamic Visi
 on Sensors (DVS)\, are an emerging visual modality<br>that is attracting s
 ignificant interest in the fields of robotics and computer vision. These c
 ameras<br>are distinguished by their exceptionally high temporal resolutio
 n and dynamic range\, low yet<br>adaptive power consumption\, sparse outpu
 t\, and a dynamic vision scheme akin to mammalian<br>perception. Such attr
 ibutes have enabled their success in various computer vision applications\
 ,<br>including feature tracking\, optical flow estimation\, and pose estim
 ation.<br>As a promising and rapidly growing field\, the body of research 
 on event cameras has expanded<br>significantly in recent years\, and their
  applications are becoming increasingly widespread. The<br>spike-like char
 acteristics of event cameras make them an ideal visual modality for spikin
 g neural<br>networks and graph neural networks\, enhancing their potential
  for next-generation computing.<br>In this talk\, I will provide an overvi
 ew of the domain of event cameras\, highlighting their unique<br>character
 istics\, diverse applications\, and potential future developments. Additio
 nally\, I will<br>present some of our featured works in this field.</p><br
  /><br />Agenda: <br /><ul>\n<li>Invited talk from Zhongyang Zhang \, from
  the University of California\, San Diego</li>\n<li>Q/A Session</li>\n</ul
 >
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