He is very well known for prize winning work on using structured output methods to improve the training and performance of sliding windowmethods. He is co-author of one of the ground-breaking papers on using visual attributes to describe and recognize objects. His current interests involve structured learning methods, object detection and recognition, and lifelong visual learning.link for robots only Department of Computer Science