Center for Research in Comptuer Vision
Center for Research in Comptuer Vision


First NSF Grant Under BIGDATA

The National Science Foundation has awarded $984,887 ($662,431 regular grant and $322,456 for Google Cloud) to the University of Central Florida (UCF) for a project entitled "BIGDATA: IA: Distributed Semi-Supervised Training of Deep Models and Its Applications in Video Understanding" under the direction of PI Boqing Gong and Co-PIs Mubarak Shah and Liqiang Wang. The award starts September 1st, 2017 and ends August 30, 2020. This is the first NSF award of its kind ever granted to UCF.

This project investigates semi-supervised training of deep models using large-scale labeled and unlabeled data in a distributed fashion. Deep neural networks have recently been widely deployed in artificial intelligence and related scientific fields, largely attributing to well-labeled big datasets and improved computing capabilities. However, the unlabeled data, which is often bigger, is inherently ruled out by the prevailing supervised training of the deep models. It is indeed highly challenging to model the unlabeled parts of many recent and emerging datasets, which are often unstructured and distributed over different nodes of a network (e.g., the videos captured by a camera network). This project aims to explore how to effectively use the unlabeled and distributed data to complement the discriminative cues of the labeled data, to jointly learn accurate and robust deep models. The research seamlessly unifies machine learning, computer vision, and parallel computing, and fosters unique interdisciplinary research and education programs for the graduate and undergraduate students.

For more information please visit the corresponding NSF page: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1741431