Christopher Kanan Headshot

Christopher Kanan

Research Faculty

Chester F. Carlson Center for Imaging Science
College of Science

Christopher Kanan

Research Faculty

Chester F. Carlson Center for Imaging Science
College of Science

Education

BS, Oklahoma State University; MS, University of Southern California; Ph.D., University of California

Bio

I’m a professor in the Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT). I’m also Associate Director of RIT’s Center for Human-aware AI (CHAI), and Affiliate Faculty in RIT’s Computer Science Department. I am a member of the McNair Scholars Advisory Board, part of RIT’s Division of Diversity and Inclusion. I direct the Machine and Neuromorphic Perception Laboratory (a.k.a., kLab). My lab’s main focus is basic research in task-driven scene understanding and lifelong machine learning. Our recent work has focused on visual question answering (VQA) and incremental learning in deep networks. We also do applied research in using deep learning to solve problems in computer vision. In the past, I have worked on semantic segmentation, object recognition, object detection, active vision, object tracking, and more. Beyond machine learning, I also have a strong background in eye tracking, primate vision, and theoretical neuroscience.

 

 


Areas of Expertise