AATransID: enhancing cross-domain person re-identification with low-rank adaptation and sequence sampling
International Journal of Multimedia Information Retrieval, 15(2), Article 17
Computer Vision Researcher
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 such as histopathology image analysis. At the heart of my projects is a focus on improving how we transform images into meaningful vector representations.
I focus on creating fast, accurate models with robust generalization capabilities, ensuring that these advances are both innovative and applicable in real-world settings. This drives my efforts to turn current research into effective solutions for diverse applications, from medical diagnostics to security systems.
Alongside my ongoing research, I actively share code from my studies on GitHub. I welcome collaborations with academic peers and research teams working to advance computer vision, and I am always open to discussing related problems, datasets, and future projects.
International Journal of Multimedia Information Retrieval, 15(2), Article 17
Turkish Journal of Electrical Engineering and Computer Sciences, 33(5), 669–687
Engineering Science and Technology, an International Journal, 60, 101881
IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
Laboratory Investigation, 104(10), 102130
Turkish Journal of Electrical Engineering and Computer Sciences, 31(6), 1079–1098
Engineering Applications of Artificial Intelligence, 114, 105032