Çağrı Eser

I am a Senior CV/ML Engineer at Kuartis, where I focus on perception-related tasks for autonomous vehicles since 2019. My work usually involves computer vision areas such as 2D/3D object detection and segmentation with sensors of various modalities.

I obtained my M.Sc. of Computer Engineering at METU in 2024, where I was supervised by Prof. Dr. Sinan Kalkan and Assoc. Prof. Dr. Emre Akbaş. My thesis was about mitigating the effects of class imbalance in long-tailed visual recognition using class-wise intrinsic dimensionality. Previously, I obtained my B.Sc. in Computer Engineering at METU, along with a Minor in Mathematics.

My primary interests lie in computer vision, deep learning, autonomous vehicles and long-tailed learning.

A photo of me at Lake Eymir.

News

I’m serving as an adjunct lecturer for CENG240 for the Spring 2024-2025 semester, a course for Programming with Python for Engineers!
- New! Weekly course materials can be found here in the form of Jupyter notebooks.
I have completed my Master of Sciences degree of Computer Engineering at METU! I’d like to give special thanks to my professors Sinan Kalkan and Emre Akbaş for their continual guidance throughout my studies.
- My thesis was about mitigating the effects of class imbalance in long-tailed visual recognition using intrinsic dimensionality. It can be accessed on OpenMETU through this link.
- cGPA: 4.0/4

Publications and Current Works

C. Eser, Z. S. Baltaci, E. Akbas, S. Kalkan, “Intrinsic Dimensionality as a Model-Free Measure of Class Imbalance”, under review, 2026.
[Master thesis] C. Eser, “Mitigating class imbalance in long-tailed visual recognition through the use of intrinsic dimensionality,” M.S. - Master of Science, Middle East Technical University, 2024.