Artificial intelligence has enormous potential to augment our understanding and enjoyment of sport. Work toward this goal requires the dedication and vision of avid fans.
A paper by IVUL members won a Best Poster award at the LatinX in Computer Vision Workshop at CVPR 2021, the world-renowned venue for research in Computer Vision. The paper, "BAOD: Budget-Aware Object Detection", was written by four IVUL members, Alejandro Pardo, Mengmeng Frost Xu, Ali K.
The fifth annual international summit ‘Machines Can See’ will host IVUL's own Prof. Bernard Ghanem as a speaker. The summit, to be held on July 8th 2021, is hosted by VisionLabs, a leading software company devoted to developing products based on state-of-the-art Computer Vision algorithms.
The 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has granted Outstanding Reviewer awards to seven members of IVUL: Alejandro Pardo, Ali Thabet, Chen Zhao, Mattia Soldan, Mengmeng Xu, Juan C. Pérez, and Silvio Giancola.
Juan C. Pérez is a biomedical engineering graduate from Universidad de Los Andes, Colombia, who joined KAUST in January 2021. Juan first came to KAUST as an intern and was amazed by its excellent research atmosphere, environment, and resources. These factors served as an impetus in choosing KAUST as the destination to further his academic career.
Bernard Ghanem, KAUST associate professor of electrical and computer engineering and computer science, recently received the 2020 Abdul Hameed Shoman Award for Arab Researchers for ''Machine Learning and Big Data.''
The 2020 European Conference on Computer Vision (ECCV 2020) is the top European conference in the image analysis area. One of their workshops aims to bring together researches from the fields of adversarial machine learning, robust vision and explainable AI to discuss recent research and future directions for adversarial robustness and explainability, with a particular focus on re
The British Machine Vision Conference (BMVC) is the British Machine Vision Association (BMVA) annual conference on machine vision, image processing, and pattern recognition. It is one of the major international conferences on computer vision and related areas held in the UK.
Sara Rojas Martínez is a 24-year-old Biomedical Engineering graduate from Bogotá, Colombia. Since childhood, Sara was fascinated by robots, technology, and artificial intelligence (AI). Her interest in technology motivated her to pursue a bachelor's degree in electrical engineering. After obtaining her bachelor's degree from Universidad de los Andes, Bogotá, she realized that she wanted to do something related to AI and humans, so she also pursued her master’s degree from the same university.
ActivityNet is featured in the AI Index as the benchmark for the algorithms that can recognize human actions and activities from videos.
Understanding the situations when artificial intelligence can fail is critical for application of future autonomous vehicles and medical diagnostics.
Adel is invited to give a talk at the Phi's Research and Innovation Summit, in Dead Sea in Jordan Aug19.
Adel won the outstanding reviewer award for CVPR19
Teaching has the power to test the limits of one's knowledge. Teaching algorithms to learn using machine learning is making it possible for cars to do away with human drivers in the near future, but this has also opened up new questions about the limits of our knowledge of the brain and learning.