He has contributed broadly to object and motion detection, object tracking, image enhancement and super-resolution, visual representations, and video analytics. His current research interests include computer vision, pattern recognition, deep learning, manifold learning, sparse optimization, multimedia processing, data analytics, and online learning with many commercial applications including video surveillance, medical systems, automotive perception, car navigation, intelligent transportation, logistics, satellite systems, automation, visualization, and consumer electronics.