University of Amsterdam and Qualcomm open QUVA-lab

22 September 2015

By completing a jig-saw-puzzle during the official opening on 15 September 2015, University of Amsterdam’s President Dymph van den Boom and Qualcomm Senior Vice President Nagraj Kashyap marked the start of the new public-private partnership between Qualcomm and the University of Amsterdam: the QUVA-lab.

The mission of the QUVA-lab is to perform world-class research on deep vision. Such vision strives to automatically interpret with the aid of deep learning what happens where, when and why in images and videos. Deep learning is a form of machine learning with neural networks, loosely inspired by how neurons process information in the brain. Reseach projects in the lab will focus on learning to recognize objects in images from al single example, personalized event detection and summarization in video, and privacy preserving deep learning.The research will be published in the best academic venues and secured in patents.

Intelligent smart phones

Qualcomm is the world-leading provider of processer and radio technology for mobile devices and especially smartphones. Bringing computer vision together with machine learning -with an emphasis on mobile and embedded use cases- will foster new approaches to more intelligence in smartphones cameras, robotics, automotive and Internet of Everything applications.

The establishment of the QUVA-lab was motivated by Qualcomm's acquisition of UvA spin-off Euvision Technologies during the summer of 2014. QUVA-lab, which will form part of the UvA's Informatics Institute at Amsterdam Science Park, is a further extension of the academic research in computer vision and deep learning.The agreement has been made for a period of five years and will involve between 15 to 20 researchers.The research lab's management team will be comprised of Max Welling, professor of Machine Learning at the UvA, Arnold Smeulders, professor of Computer Vision at the UvA, and Cees Snoek, principal engineer at Qualcomm and associate professor at the UvA.


Published by  IVI