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.
Matthias won the innovation Award in KAUST WEP Library ePoster Competition. The work was titled "Driving Policy Transfer via Modularity and Abstraction".
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning". It is a 45 minutes talk scheduled on the 6th of July 2019.
Prof. Ghanem will serve as AC for ICCV 2019 to be held in Seoul Korea.
One paper was accepted to WACV 2019. It deals with the topic of underwater color enhancement.
One oral paper was accepted to AAAI 2019. It deals with the topics of robustness in VQA models.
Four hundred hours of video are uploaded to YouTube every minute. Other than using text to search the title, description or tags associated with a video, video content search is limited. In addition to helping users find content more quickly and accurately, the ability to search video content is of paramount importance to video platforms and advertisers.
Small unmanned aerial vehicles (UAVs) are ideal capturing devices for high-resolution urban 3D reconstructions using multi-view stereo. Nevertheless, practical considerations such as safety usually mean that access to the scan target is often only available for a short amount of time, especially in urban environments.
IVUL got 5 papers accepted to CVPR in total including 3 poster and 2 oral presentation.