WiCV at CVPR 2025: The Women in Computer Vision Workshop

Estefania Talavera, Deblina Bhattacharjee, Himangi Mittal, Mengwei Ren, Karen Sanchez +3 more
11/11/2025
cs.CV

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Abstract

The Women in Computer Vision Workshop (WiCV@CVPR 2025) was held in conjunction with the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025) in Nashville, Tennessee, United States. This report presents an overview of the workshop program, participation statistics, mentorship outcomes, and historical trends from previous WiCV editions. The goal is to document the impact and evolution of WiCV as a reference for future editions and for other initiatives aimed at advancing diversity, equity, and inclusion within the AI and computer vision communities. WiCV@CVPR 2025 marked the 16th edition of this long-standing event dedicated to increasing the visibility, inclusion, and professional growth of women and underrepresented minorities in the computer vision community. This year's workshop featured 14 accepted papers in the CVPR Workshop Proceedings out of 32 full-paper submissions. Five of these were selected for oral presentations, while all 14 were also presented as posters, along with 36 extended abstract posters accepted from 62 short-paper submissions, which are not included in the proceedings. The mentoring program matched 80 mentees with 37 mentors from both academia and industry. The 2025 edition attracted over 100 onsite participants, fostering rich technical and networking interactions across all career stages. Supported by 10 sponsors and approximately $44,000 USD in travel grants and diversity awards, WiCV continued its mission to empower emerging researchers and amplify diverse voices in computer vision.

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Cite this paper

@article{talavera2025wicv,
  title  = {WiCV at CVPR 2025: The Women in Computer Vision Workshop},
  author = {Estefania Talavera and Deblina Bhattacharjee and Himangi Mittal and Mengwei Ren and Karen Sanchez and Carla Muntean and JungEun Kim and Mona Jalal},
  year   = {2025},
  eprint = {2511.08748},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.08748v1}
}

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