We are proud to announce that the paper “Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning”, a collaboration between Stony Brook University and Argonne National Laboratory, received the Best Paper Award at The 5th DataCV Workshop and Challenge (DataCV 2026), held in conjunction with CVPR 2026 on June 3, 2026 in Denver, Colorado, USA.

The workshop accepted 26 papers through a double-blind review process by experts from academia and industry. The Best Paper Award was selected by the workshop organizers and program committee based on the technical quality, novelty, significance, clarity, and relevance of the work to the workshop theme.

The award certificate is shown below. See the official workshop website for more details.