Ayce Idil Aytekin

I am a first-year PhD student at Max Planck Institute for Informatics, Visual Computing and Artificial Intelligence Department.

My research focuses on hand-object interaction and 3D scene understanding. I specifically aim to leverage large vision-language models and incorporate physics to advance these fields. I have also worked on physics-based 3D human pose estimation, diffusion model efficiency, and medical imaging. Ultimately, I hope to make practical contributions to integrating robots into our daily lives.

Email  /  Google Scholar  /  Github

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🏳️‍🌈   they/them

Education
PhD student, MPII
July 2024 - present
PhD student (preparatory phase), Saarland University
October 2022 - June 2024
BSc Electrical and Electronics Engineering, Bilkent University
Sept 2018 - June 2022
Ranked 3rd among 2022 graduates with GPA 3.96/4.00
Work experience
UMRAM
Undergraduate researcher working on COVID-19 detection and multi-contrast MRI synthesis
Dec 2020 - Sep 2022
Mentor: Prof Tolga Cukur
ASELSAN
Digital design intern
Jul 2021 - Aug 2021
Research
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
Ayce Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine U Saritas, Ulas Bagci, Haydar Celik, Tolga Cukur,
IEEE Journal of Biomedical and Health Informatics , 2023
project page
Detecting COVID-19 from respiratory sound recordings with transformers
Ayce Idil Aytekin, Onat Dalmaz, Haydar Ankishan, Emine U. Saritas, Ulas Bagci, Tolga Cukur, Haydar Celik,
Proc. SPIE Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Multi-Contrast MRI Synthesis with Channel-Exchanging-Network
Onat Dalmaz, Ayce Idil Aytekin, Salman Ul Hassan Dar, Aykut Erdem, Erkut Erdem, Tolga Cukur,
30th Signal Processing and Communications Applications Conference (SIU), 2022

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