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 video. Deep learning is a form of machine learning with neural networks, loosely inspired by how neurons process information in the brain. Research projects in the lab focus on learning to recognize objects in images from a single example, personalized event detection and summarization in video, and privacy preserving deep learning. The research is published in the best academic venues and secured in patents.
On Nov 22, we virtually hosted Olivier Henaff giving a talk about his work on "The virtuous cycle of object discovery and representation" in our Qualcomm-UvA Deep Vision Seminars.
On Jul 18, we hosted Stephan Mandt giving a talk about his work on "Compressing Variational Bayes: From Neural Data Compression to Video Prediction" in our Qualcomm-UvA Deep Vision Seminars.
On Apr 13, we hosted Dima Damen giving a talk about her work on "Video Understanding - An Egocentric Perspective" in our Qualcomm-UvA Deep Vision Seminars.
The Qualcomm-UvA Deep Vision Seminars is an Amsterdam meetup for people that are passionate about AI, machine learning, deep learning and computer vision. Our guest speakers come both from industry and academia, working for organizations such as DeepMind, Oxford University, Toyota Research Center and more. Subscribe to our Meetup page to be notified about upcoming talks, or watch past presentations here.
Interested in working with the QUVA Lab? We will open positions soon, stay tuned!For MSc students at the UvA: we hire interns on an ongoing basis, who also receive small compensation. In case of interest, please reach out to our lab manager or the PhD student you would like to work with.