|
Ada Görgün I am a PhD student in the Computer Vision and Machine Learning department at the Max Planck Institute for Informatics, under the supervision of Prof. Dr. Bernt Schiele and Dr. Jonas Fischer. Prior to this role, I served as a computer vision and machine learning researcher at the METU Center for Image Analysis (OGAM). I have completed my master’s degree in electrical and electronics engineering at the Middle East Technical University (METU) under the supervision of Prof. Dr. Aydın Alatan and Dr. Yeti Gürbüz, where my thesis delved into the interpretability of neural networks, their correlation with signal processing techniques, and the application of knowledge distillation. I also earned my bachelor’s degree in electrical and electronics engineering from the Middle East Technical University (METU). My research focuses on representation learning, generative AI and explainability of deep networks in the context of computer vision. Email / CV / Google Scholar / Github / LinkedIn |
|
News |
|
06/2025 |
One paper is accepted at ICCV 2025! Check it out: VITAL. |
|
07/2024 |
I started my PhD at the Max Planck Institute for Informatics! |
|
01/2024 |
I joined the Max Planck Institute for Informatics as a research scientist! |
|
09/2023 |
Our work on knowledge distillation is accepted at BMVC'23! |
Publications |
|
Ada Görgün, Bernt Schiele, Jonas Fischer ICCV, 2025 |
|
Ada Görgün*, Yeti Ziya Gürbüz*, A. Aydın Alatan (*equal contribution) BMVC, 2023 |
|
Ada Görgün*, Yeti Ziya Gürbüz*, A. Aydın Alatan (*equal contribution) BMVC, 2022 |
ResourcesI maintain a curated repository of papers and tools on generative model explainability, aiming to foster collaboration and understanding in the field. You can explore and contribute to it here: awesome-generative-explainability . |
Academic ServiceReviewer: ICCV XAI Workshop 2025, CVPR XAI Workshop 2025, ICML MI Workshop 2024, ECCV XAI Workshop 2024, BMVC 2023. |
|
Template from Jon Barron. |