Adrien Gaidon

Adrien is a Research Scientist at the Xerox Research Centre Europe (XRCE) in the Computer Vision  group. His research interests lie in the fields of Computer Vision and Machine Learning, with a focus on automatic video understanding (e.g. behavior recognition, motion analysis, event detection) and object recognition.




Video Analytics in a Virtual World

As the gap between real and virtual worlds continues to close, more and more research in computer vision turns to photorealistic imagery to help tackle low- and high-level visual tasks. Eleonora Vig and myself were awarded a Xerox internal grant (XTIN) for ambitious exploratory research combining Computer Vision and Computer Graphics. In particular, we are exploring the use of Virtual Worlds for high-level Computer Vision tasks.

Visual Understanding of Processes

I am currently leading an ambitious project aiming to combine Computer Vision (scene understanding, multi-object tracking, action recognition, ...) with Business Process Modeling (BPM). The main goal is to increase business agility via the automatic integration of visual AI components in BPM. This project is a collaboration with Adrian Mos , Naila Murray , Eleonora Vig, Diane Larlus , Albert Gordo , and Jon Almazan .

Learning Representations for Video Analytics

I am also involved in a project aiming to learn representations for a variety of multimedia analytics tasks (speech recognition and various computer vision problems). In particular, I study the problem of learning spatio-temporal representations (for instance via deep learning). Together with Antonio M. López  and Eleonora Vig , we are co-supervising a PhD student (Cesar De Souza) on this topic. In another direction related to deep learning, I also did some work on accelerating SGD training by online learning to sample together with Guillaume Bouchard , Theo Trouillon , and Julien Perez .


You can find most of my publications through Google Scholar


Short bio

Adrien graduated from ENSIMAG  and obtained an MSc in Artificial Intelligence from Université Joseph Fourier  in 2008. He, then, worked as a doctoral candidate at the MSR-INRIA  joint center in Paris, and in the LEAR  team at INRIA Grenoble under the supervision of Zaid Harchaoui  and Cordelia Schmid . He got his PhD from Université de Grenoble  in 2012 and joined XRCE in 2013.


Twitter: @adnothing

Old LEAR webpage: