About Me

Baris Sarper Tezcan recently graduated with a degree in Computer Engineering and is continuing his double major in Mathematics at Middle East Technical University, Turkey, with plans to complete it by the end of Fall 2024. His primary interests lie in data-efficient learning algorithms, including weakly supervised, semi-supervised, few-shot, and zero-shot learning, as well as computer vision and generative AI.

During his studies, Baris expanded his expertise in optimizing weakly supervised semantic segmentation pipelines by refining background and foreground confidence thresholds under the supervision of Assoc. Prof. Dr. R. Gokberk Cinbis. He has also taken graduate-level courses, such as Deep Generative Models, and successfully implemented an ICCV 2023 paper that lacked an open-source version, further improving his technical and research skills.