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SUMMARY:When Vision Transformers Meet Cooperative Perception - Runsheng Xu
 \, UCLA (USA)
DTSTART:20230131T130000Z
DTEND:20230131T140000Z
UID:TALK195346@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:"Join us on Zoom":https://zoom.us/j/99166955895?pwd=SzI0M3pMVE
 kvNmw3Q0dqNDVRalZvdz09\n\nAutonomous driving perception systems are faced 
 with significant challenges\, such as occlusion and sparse sensor observat
 ions at a distance. Cooperative perception\, which utilizes V2X communicat
 ion to enable autonomous vehicles to share visual information with each ot
 her\, presents a promising solution to these challenges. In this seminar\,
  we will explore the use of vision transformers in cooperative perception.
  Runsheng Xu will present his recent research on the topic\, including two
  papers: "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Visio
 n Transformer" (ECCV2022) and "CoBEVT: Cooperative Bird's Eye View Semanti
 c Segmentation with Sparse Transformers" (CoRL2022). These papers demonstr
 ate the potential of vision transformers in solving domain-specific challe
 nges in cooperative perception. Join us to gain a deeper understanding of 
 the current state of the art and future directions in autonomous driving p
 erception.
LOCATION:Online (Zoom)
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