Hello, I’m Serdar. As a researcher in computer vision, I am dedicated to developing technologies that effectively bridge theoretical concepts with practical applications. My research spans the comprehensive field of biometrics and specialized areas like histopathology image analysis. At the heart of all my projects is a focus on enhancing how we transform images into meaningful vector representations.

I am focused on creating fast, accurate models with robust generalization capabilities, ensuring that our advancements are both innovative and applicable in real-world settings. This dedication drives my efforts to transform cutting-edge research into effective solutions for diverse applications, from medical diagnostics to security systems.

As I explore potential PhD opportunities and continue to expand my contributions to the field, I actively share the code from my studies on GitHub. I am eager to collaborate with academic peers who are committed to pushing the boundaries of computer vision. If you are passionate about advancing computer vision, I invite you to connect with me to discuss how we can collaborate on future projects.

Research Areas

Selected Publications

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Turkish scene text recognition: Introducing extensive real and synthetic datasets and a novel recognition model

Serdar YILDIZ

Engineering Science and Technology, an International Journal, 2024

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ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification

Serdar YILDIZ , A. Nezih Kasım

IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024

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ConvNext Mitosis Identification—You Only Look Once (CNMI-YOLO): Domain Adaptive and Robust Mitosis Identification in Digital Pathology

Yasemin TOPUZ, Serdar YILDIZ , Songül VARLI

Laboratory Investigation, 2024

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TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders

Serdar YILDIZ , Abbas MEMİŞ, Songül VARLI

Turkish Journal of Electrical Engineering and Computer Sciences, 2023

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A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach

Serdar YILDIZ , Onur Aydemir, Abbas MEMİŞ, Songül VARLI

Engineering Applications of Artificial Intelligence, 2022