SUNY Korea Paper Selected for Long Oral Presentation at ECCV 2026
AuthorComputer ScienceREG_DATE2026.08.10Hits68
A research paper from SUNY Korea, "Seeing Through the Weights: Privacy Leakage in Scene Coordinate Regression," has been selected for a Long Oral Presentation at the European Conference on Computer Vision (ECCV 2026), one of the world's leading conferences in computer vision and artificial intelligence. This distinction is awarded to only about 2% of accepted papers and recognizes work considered among the conference's most notable contributions.
The research was conducted by Oleksii Nasypanyi, Jaemin Cho, Utku Özbulak, Byungkon Kang, and François Rameau. It investigates privacy vulnerabilities in deep learning-based visual localization techniques.
Congratulations to the authors on this outstanding achievement.