Kyros Kutulakos

Kyros Kutulakos is a Professor in the Department of Computer Science at the University of Toronto. His research interests include computer vision, computer graphics, physics-based computer vision, shape from video, advanced 3D sensors, computational cameras, computational photography, and computational light transport. He is affiliated with the Toronto Computational Imaging Group, Computer Vision Group, Dynamic Graphics Project, and the Vector Institute. Kutulakos has contributed to various publications and has been involved in multiple research projects related to computational imaging and computer vision.

Kyros Kutulakos is a Professor of Computer Science at the University of Toronto, specializing in Computational Imaging, Computational Photography, Sensing, Computer Vision, and Computer Graphics. His research focuses on advancing imaging technologies through innovative approaches to shape reconstruction, light transport, and scene capture. Key contributions include methods for non-line-of-sight imaging, dynamic refraction stereo, and inverse light transport. His work explores techniques such as light-path triangulation, structured light transport, and energy-efficient illumination. Kutulakos has developed theories for 3D shape recovery, augmented reality, and plenoptic image editing, emphasizing the interplay between geometric modeling and computational sensing.