no code implementations • 25 Mar 2021 • Attila Szabo, Hadi Jamali-Rad, Siva-Datta Mannava
Traditional empirical risk minimization (ERM) for semantic segmentation can disproportionately advantage or disadvantage certain target classes in favor of an (unfair but) improved overall performance.
no code implementations • 19 Jun 2020 • Hadi Jamali-Rad, Attila Szabo
Semantic segmentation is one of the most fundamental problems in computer vision with significant impact on a wide variety of applications.
no code implementations • ECCV 2018 • Attila Szabo, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro
We study the problem of building models that can transfer selected attributes from one image to another without affecting the other attributes.