Welcome to the Image and Video Understanding Lab (IVUL) at KAUST!​​ 

At IVUL, we focus on interesting research problems that arise in computer vision, including activity recognition/detection, robust representations of objects for tracking and recognition, scene understanding from 3D data, image annotation, etc. Since our goal is to make sense of images and videos especially at large-scales, we also often end up developing new machine learning and optimization methods to help us achieve this goal. 

Our research range is broad, so please browse our publications tagged by thems to get a better understanding of the exciting work we have done.  

If you want further information about IVUL or are interested in joining our research group, please contact us. We are always looking for bright, motivated, and hard-working postdocs, students, and visiting students.