Prof. Ghanem was awarded a TAQADAM grant from Sabb Bank for a project that focuses on developing AR on wearable devices for the sensory impaired.
Optical elements that diffract light could lead to smaller and more powerful cameras.
Today, querying the massive amounts of images available in online databases such as Instagram can be a time-consuming experience. Researchers from the King Abdullah University of Science and Technology (KAUST) and the University College London, have developed a new tool that generates image queries based on a geometric description of objects in spatial relationships with potential applications in computer graphics, computer vision and automated object classification.
An IVUL Ph.D. student (Victor Escorcia) participated in the Deep Learning Summer School. He was selected among many students/researchers worldwide to attend this event, where he had the opportunity to interact with and learn from leaders in the field of deep learning.
A sketch-based query for searching for relationships among objects in images could enhance the power and utility of image search tools.
An IVUL Ph.D. student (Fabian Caba) participates in the Computer Vision Summer School.
Two IVUL Ph.D. students (Fabian Caba and Victor Escorcia) participate in the annual MSR Summer School.
Hachid won the award for the Venture pitch with the best business plan at the Fifth Annual Vision Industry and Entrepreneur Workshop (VIEW) 2016.
Our recent work on stroke authorship recognition (SAR) was highlighted in the KAUST Discovery webpage. This work was published in CGF2015.
A graphics technique is the first to identify people based on their sketching style.
An MIT Tech Review article was published about work done with Effat university undergrads, a very hard working bunch of young ladies
The first annual ActivityNet large-scale action recognition challenge is underway. A development kit, training, and validation subsets, and testing data without ground-truth annotations are available.
QNRF proposal with David Yang, Marianne Winslett, and Mounir Hamdi on "Real-Time Analytics for Sports Video Streams" is accepted!
Prof. Ghanem gave a talk on large-scale activity understanding at the annual KAUST-NSF conference.
IVUL got 3 papers accepted to CVPR2016! They focus on RGB tracking, RGBD tracking, and activity detection.