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SUMMARY:Beyond Semantic Change Detection in Remote Sensing Images - Yuxing
  Chen\, University Paris Cité
DTSTART:20250123T120000Z
DTEND:20250123T130000Z
UID:TALK226369@talks.cam.ac.uk
CONTACT:Daniel Dalton
DESCRIPTION:Talk Abstract:\n\nDiscover how we’re rethinking change detec
 tion in remote sensing! Traditional methods often categorize changes—lik
 e "forest to urban"—but what about subtle or complex transformations tha
 t don’t fit neatly into predefined labels?\nIn this talk\, we’ll explo
 re groundbreaking research that moves beyond these boundaries by leveragin
 g self-supervised learning. Learn how contrastive learning aligns features
  from various sensors and time periods to detect nuanced changes\, overcom
 ing challenges like seasonal variations or sensor differences.\nThis innov
 ative approach enhances our ability to monitor Earth's surface and respond
  to changes with greater accuracy. Join us to see how this research transf
 orms our understanding of the world!\n\nSpeaker Bio:\n\nYuxing Chen receiv
 ed his M.S. degree in Geodesy and Surveying Engineering from the Universit
 y of Chinese Academy of Sciences\, Beijing\, China\, in 2019\, and a Ph.D.
  cum laude in Information and Communication Technology from the University
  of Trento\, Italy\, in 2023. He is currently a postdoctoral researcher at
  the University Paris Cité.\nYuxing's research interests include remote s
 ensing image feature representation\, in-context learning\, and automating
  remote sensing data analysis using large language models. His work bridge
 s the gap between traditional remote sensing methods and cutting-edge mach
 ine learning\, offering new tools to understand and analyze Earth's surfac
 e.\n\nJoin Zoom Meeting\n\nhttps://cam-ac-uk.zoom.us/j/88230088472?pwd=dXh
 keWJVL3lHVGRERUtwL3BOK1dPUT09\n\n \n\nMeeting ID: 882 3008 8472\n\nPasscod
 e: 685305\n
LOCATION:Seminar Room\, 2nd Floor South Wing (2S)\, Roger Needham Building
 \, University of Cambridge
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