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DTSTART:20180325T030000
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DTSTART:20171029T020000
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DTSTAMP:20260424T125159Z
UID:5a16d1533bc21132081280@ist.ac.at
DTSTART:20171212T150000
DTEND:20171212T160000
DESCRIPTION:Speaker: Laura Leal-Taixe\nhosted by Christoph Lampert\nAbstrac
 t: Dynamic scene understanding englobes many of the classic problems in Co
 mputer Vision. Semantically labelling every pixel in a video sequence is a
  big step towards understanding the world around us\, and is key to applic
 ations such as autonomous driving or human-robot interaction. In this talk
 \, I will present several works that bring us closer to solving the proble
 m of dynamic scene understanding\, focusing especially on the role of Deep
  Learning for video analysis. I will present our recent works on multiple 
 object tracking and video object segmentation and discuss the importance o
 f big data and our efforts towards building a benchmark for multiple objec
 t tracking.Finally\, I will briefly discuss future research plans and the 
 recently accepted project socialMaps.
LOCATION:Mondi Seminar Room 2\, Central Building\, ISTA
ORGANIZER:abonvent@ist.ac.at
SUMMARY:Laura Leal-Taixe: Learning to understand dynamic scenes
URL:https://talks-calendar.ista.ac.at/events/971
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