Hi! I'm Idil, a recent master's graduate in Informatics (Computer Science) at Technical University of Munich (TUM). I previously obtained my bachelor's in Computer Engineering from Middle East Technical University (METU), Ankara. My interests broadly include computer vision and deep learning. Through my master's degree, I worked on self-supervised vehicle control at TUM Computer Vision Group under Prof. Daniel Cremers. I completed my master's thesis on zero-shot learning and 3D object part understanding at TUM CAMP Chair under PD Dr. Federico Tombari.
News
[Mar. 2024] I am actively looking and interviewing for Ph.D. positions. Feel free to contact me if you know of a position where I might be a good fit. ✨
[Mar. 2024] I have been accepted to MIT Summer Geometry Initiative as an SGI Fellow.
[Feb. 2024] I am now a Computer Vision Engineer Intern at Deltia.
[Oct. 2023] I submitted my master’s thesis! 🎉
[May. 2023] I am the team lead of Events Organization team at Women in CS @ TUM (Informatik-Forum Frauen, IFF).
[Jan. 2023] Our work titled Learning Vision Based Autonomous Lateral Vehicle Control without Supervision had been accepted to Applied Intelligence.
[Dec. 2022] We received our certificates for our participation to the Grace Hopper Celebration (GHC) at TUM Award Ceremony 2022.
[Sep. 2022] I am attending Grace Hopper Celebration (GHC) virtually between 16-18 September.
[Jun. 2022] I am awarded a scholarship by TUM to attend vGHC’22.
[Apr. 2022] I am an organizational member / IFF Officer of Women in CS @ TUM (Informatik-Forum Frauen, IFF) at social media team.
[Jun. 2021] I am an SDE intern at Amazon, AWS AI-DevOps team from August, 2021 until January, 2022.
Research
Idil Sulo
Technical University of Munich, 2023
Qadeer Khan, Idil Sülö, Melis Öcal & Daniel Cremers
Applied Intelligence, Springer, 2023
Fatih Can Kurnaz, Burak Hocaoğlu, Mert Kaan Yılmaz, İdil Sülo & Sinan Kalkan
European Conference on Computer Vision (ECCV) 2020 Workshops
İdil Sülo, Seref Recep Keskin, Gülüstan Dogan & Theodore Brown
International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), 2019