Matthijs Douze is a research scientist at the Facebook AI Research (FAIR) lab in Paris since November 2015. He is working on large-scale indexing (see the Faiss library), machine learning with graphs and similarity search on images and videos. He obtained a master’s degree from the ENSEEIHT engineering school and defended his PhD at University of Toulouse in 2004. In 2005-2015 he joined the LEAR team at INRIA Grenoble where he worked on a variety of topics, including image indexing, large-scale vector indexing, event recognition in videos and similar video search.

Viorica completed her PhD in Computer Science at ENSEEIHT–INP in Toulouse, France where she focused on image processing. She continued her research during her post-doc at INRIA Ecole Polytechnique France, where she worked on image and 3D shape analysis. She then joined the Computer Vision and Machine Learning Department of Engineering at University of Cambridge, where she started her work in machine learning (unsupervised learning from videos; semantic segmentation). Currently, she is a research scientist in Google DeepMind and she is interested in semi/self-supervised learning for scene understanding from videos, and biologically-inspired system design.

Julien received his PhD in 2010 under the supervision of Francis Bach and Jean Ponce from ENS Cachan. Before that he did his undergraduate studies at Ecole Polytechnique from 2002 to 2005 in Paris, then graduated from Telecom ParisTech and ENS Cachan in 2006 with a master degree. After his PhD, he spent two years as a post-doctoral researcher in the statistics department of UC Berkeley, working with Bin Yu, before joining Inria in 2012. In 2016, he received an ERC starting grant to run the project SOLARIS. He is interested in machine learning, optimization, statistical signal and image processing, computer vision, and has collaborations in bioinformatics.