Regular biography
Dr Cengiz Oztireli is a Fellow at the University of Cambridge, affiliated with the Department of Computer Science and Technology. His research focuses on computer graphics, vision, and machine learning. He teaches courses such as Extended Reality (Part II), Further Graphics (Part IB), and Machine Visual Perception (MPhil ACS, Part III). Dr Oztireli's work is centered on developing algorithms and systems within these areas. For more information, visit his profile page at https://www.cl.cam.ac.uk/~aco41/.
Scholar-generated biography
Cengiz Öztireli is a researcher at the University of Cambridge and Google Inc., specializing in Machine Learning & Visual Computing. His work focuses on developing methods for explaining deep neural networks, such as gradient-based attribution techniques and polynomial time algorithms for Shapley value approximation. He also explores point-based geometry processing, including feature-preserving surface reconstruction and differentiable surface splatting. Öztireli's research includes creating scalable datasets like Kubric and advancing techniques for 3D garment shape estimation and human shape recovery from silhouettes. His contributions span both theoretical and applied aspects of machine learning and computer vision.