Fabian Caba is a Ph.D. student at King Abdullah University of Science and Technology, currently focused on the development of novel Computer Vision techniques for video understanding.
He is part of the multicultural and diverse Image and Video Understanding Lab (IVUL) advised by Bernard Ghanem. He received a Master of Science degree in Electronics Engineering from Universidad del Norte, where he worked with Juan Carlos Niebles on efficient video annotation using crowdsourcing. Recently, Fabian landed an internship at Adobe, where he worked on weak supervised action localization over large scale sets of web videos.
He and his colleagues designed, organized and hosted The ActivityNet Large Scale Activity Recognition Challenge for two consecutive years at the premier annual Computer Vision event, CVPR. The challenge attracted a large number of participants, and it was sponsored by several industrial partners including Google DeepMind, NVidia, Qualcomm, and Panasonic.