Participants are attentively listening to a presentation at the CVPR (Conference on Computer Vision and Pattern Recognition) 2023 event held in Seattle. The image captures the large conference hall filled with attendees seated in neat rows. The presentation displayed on the screens discusses the topic "Gromov-Wasserstein for Encoding Structural Priors." Visible are carefully aligned ceiling fixtures, including air ducts and lighting, contributing to the well-organized setting. The audience appears engaged, reflecting the significance and interest in the discussed technical subject matter.
Text transcribed from the image:
mov-Wasserstein for
Oding Structural Priors
vely) general formulation for (discrete) GW problems
CVPR
JUNE 17-21, 2024
SEATTLE, W
Gromov-Wasserstein for
Encoding Structural Priors
A (relatively) general formulation for (discrete) GW problems:
Gromov-Wasserstein for
Encoding Structural Priors
A (relatively) general formulation for (discrete) GW problem-
Hege and phen David Tempty Content Unbalanced Optimal Transport for Upervises