Personal Webpage
Ayça Takmaz
I am a PhD student in the field of computer vision and augmented reality, supervised by Prof. Bob Sumner and co-supervised by Prof. Siyu Tang in the Department of Computer Science (D-INFK) at ETH Zurich. I was previously working at ETH Zurich as a computer vision research engineer in a joint augmented reality project between ETH Media Technology Center (MTC), ETH Game Technology Center (GTC) and Disney Research Studios (DRS). My research interests mainly lie in scene understanding, 3D reconstruction, unsupervised learning, affordance prediction and human-object interactions for augmented reality applications.
In 2021, I obtained my Master’s degree in Electrical Engineering and Information Technology at ETH Zurich with a focus on computer vision, machine learning and signal processing. I completed several research projects at the ETH Computer Vision Lab (CVL) led by Prof. Luc Van Gool, as well as the Computer Vison and Graphics (CVG) Group led by Prof. Marc Pollefeys. During the course of my research projects and master’s thesis, I had the great opportunity to collaborate with Dr. Danda Pani Paudel, Dr. Thomas Probst, Dr. Ajad Chhatkuli and Dr. Martin R. Oswald.
Publications
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Ayça Takmaz*, Jonas Schult*, Irem Kaftan, Mertcan Akcay, Bastian Leibe, Robert Sumner, Francis Engelmann, Siyu Tang. 3D Segmentation of Humans in Point Clouds with Synthetic Data. Pre-print. [Paper] [Project page]
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Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool . Unsupervised Monocular Reconstruction of Non-Rigid Scenes. Accepted at International Conference on 3D Vision (3DV) 2021. [Paper]
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Ayça Takmaz, Thomas Probst, Danda Pani Paudel, Luc Van Gool . Learning Feature Representations for Look-Alike Images. Accepted at Computer Vision and Pattern Recognition (CVPR) Workshops 2019.
News
- December 1, 2021: I am starting my PhD in computer vision and augmented reality, under the supervision of Prof. Bob Sumner in the Department of Computer Science (D-INFK) at ETH Zurich!
- October 3, 2021: Our work Unsupervised Monocular Reconstruction of Non-Rigid Scenes was accepted in International Conference on 3D Vision (3DV) 2021!