Hakan Bilen

Hakan Bilen is a Reader in the Department of Computer Science at The University of Edinburgh. His research interests include areas such as machine learning and data science. He can be contacted via email at H.Bilen@ed.ac.uk, and his profile page can be accessed at https://www.ed.ac.uk/Hakan_Bilen.html.

Hakan Bilen is a researcher at the University of Edinburgh with expertise in Computer Vision and Machine Learning. His work focuses on developing advanced techniques for deep learning, particularly in areas such as dataset condensation, self-supervised learning, and cross-domain few-shot learning. Bilen's research explores methods to improve model efficiency and generalization through innovations like residual adapters, gradient matching, and differentiable Siamese augmentation. His publications address challenges in action recognition, object detection, and 3D reconstruction, emphasizing the use of weakly supervised and unsupervised learning approaches. His contributions aim to enhance the adaptability and performance of deep neural networks across diverse visual domains.