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Ayça Takmaz

I am a second-year 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 previously worked 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 Vision 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.



OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Ayça Takmaz*, Elisabetta Fedele*, Robert W. Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
project page / paper

3D Segmentation of Humans in Point Clouds with Synthetic Data
Ayça Takmaz*, Jonas Schult*, Irem Kaftan, Mertcan Akcay, Bastian Leibe, Robert Sumner, Francis Engelmann, Siyu Tang
International Conference on Computer Vision (ICCV) 2023
project page / paper

Unsupervised Monocular Reconstruction of Non-Rigid Scenes
Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool
International Conference on 3D Vision (3DV) 2021
project page / paper

Learning Feature Representations for Look-Alike Images
Ayça Takmaz, Thomas Probst, Danda Pani Paudel, Luc Van Gool
Computer Vision and Pattern Recognition (CVPR) Workshops 2019
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