Attendees at the CVPR (Conference on Computer Vision and Pattern Recognition) are pictured listening attentively to a presentation titled "Gromov-Wasserstein for Encoding Structural Priors." The audience, seated in rows of chairs in a spacious conference hall with a high, industrial-style ceiling, is focused on the large screens displaying the presentation. The presenter is discussing a method for encoding structural priors in videos with multiple frames and action classes. The environment is professional and scholarly, with participants likely being researchers, students, and professionals in the field of computer vision and artificial intelligence. The event appears well-organized with ample seating and clear visibility of the screen for all attendees.
Text transcribed from the image:
Gromov-Wasserstein for
Encoding Structural Priors
For a single video with N frames and K action classes,
CVPR
JUNE 17-21, 2024
THE SEATTLE, W
Gromov-Wasserstein for
Encoding Structural Priors
For a single vid
action classes,
Gromov-Wasserstein for
Encoding Structural Priors
For a single video with N frames and K action classes,
Hing Xu and Stephen Could Temporality Constant Unbanced Optimal Tapert for Unsupervised c
Australian
National
University