WiCV at CVPR 2025: The Women in Computer Vision Workshop

arXiv — cs.CVThursday, November 13, 2025 at 5:00:00 AM
The Women in Computer Vision Workshop (WiCV@CVPR 2025) was held in Nashville, Tennessee, in conjunction with the IEEE/CVF Conference on Computer Vision and Pattern Recognition. This event, marking its 16th edition, focused on increasing the visibility and professional growth of women and underrepresented minorities in the computer vision community. The workshop showcased 14 accepted papers from 32 submissions, with five selected for oral presentations. Additionally, 36 extended abstract posters were presented, emphasizing the active participation in research. A notable aspect of this year's workshop was the mentorship program, which successfully matched 80 mentees with 37 mentors from academia and industry, fostering connections and support for emerging professionals. The event attracted over 100 participants, facilitating technical discussions and networking opportunities. With $44,000 in travel grants and diversity awards provided by ten sponsors, WiCV@CVPR 2025 exemplifies ongoing e…
— via World Pulse Now AI Editorial System

Was this article worth reading? Share it

Recommended apps based on your readingExplore all apps
Continue Readings
Likelihood ratio for a binary Bayesian classifier under a noise-exclusion model
NeutralArtificial Intelligence
A new statistical ideal observer model has been developed to enhance holistic visual search processing by establishing thresholds on minimum extractable image features. This model aims to streamline the system by reducing free parameters, with applications in medical image perception, computer vision, and defense/security.
Application of Ideal Observer for Thresholded Data in Search Task
PositiveArtificial Intelligence
A recent study has introduced an anthropomorphic thresholded visual-search model observer, enhancing task-based image quality assessment by mimicking the human visual system. This model selectively processes high-salience features, improving discrimination performance and diagnostic accuracy while filtering out irrelevant variability.

Ready to build your own newsroom?

Subscribe to unlock a personalised feed, podcasts, newsletters, and notifications tailored to the topics you actually care about