About XRCE

Naila Murray

  • deep learning
  • artificial intelligence
  • machine learning
  • computer vision

I am a senior scientist and manager of the Computer Vision (CV) group at Xerox Research Centre Europe (XRCE). My research interests include scene understanding, visual attention and image aesthetics analysis. Currently, my research focuses on fine-grained visual categorization and object detection.



  • My paper with Saumya Jetley and Eleonora Vig, "End-to-End Saliency Mapping via Probability Distribution Prediction", has been selected as a spotlight presentation at CVPR 2016.



  • My paper with Florent Perronnin, "Generalized Max Pooling", has been accepted at CVPR, 2014.
  • The INRIA-XEROX team (Philippe-Henri Gosselin, Florent Perronnin, Hervé Jégou and I) won the 2013 Fine-Grained Challenge (FGComp '13), held in conjunction with the 2013 Large Scale Visual Recognition Challenge workshop at ICCV 2013.

Short Bio

I obtained a B.Sc. in Electrical Engineering from Princeton University, U.S.A., in 2007. From 2008 to 20012, I worked as a doctoral candidate in the Colour in Context (CIC) group at the Computer Vision Center in the Unversitat Autonoma de Barcelona. I was a visiting researcher at XRCE from 2011-2012 in the framework of a joint project between CV and CIC. Information about my doctoral research and publications may be found here. I joined XRCE in January 2013.

+33 (0)476 615 036