Starting Date: January 2013 or later.
The Textual and Visual Pattern Analysis group of the Xerox Research Centre Europe, is looking for a PostDoc researcher on the topic of Fine-Grained Visual Categorization (FGVC).
FGVC consists in classifying an image into a possibly large set of categories which are visually similar and semantically related e.g. animals, plants or vehicles. This is a challenging problem as the difference between two categories might rely on subtle cues which are difficult to detect, even with state-of-the-art algorithms. Although some systems have been successfully developed for various special-purpose applications such as the recognition of leaves or birds, one of the major challenges is to develop algorithms which can be applied to new problems or new domains with as little customization as possible. This project is carried out in collaboration with the TEXMEX group at INRIA Rennes (and especially Hervé Jégou) in the framework of a project sponsored by the French Government.
• Ph.D. degree in computer vision and / or machine learning.
• Excellent publication record in major computer vision / machine learning / multimedia conferences and journals.
• Strong development skills in C/C++ and Matlab.
• Fluent in written and oral English.
• Highly motivated.
The Textual and Visual Pattern Analysis group specializes in understanding, organizing, retrieving and enhancing visual and hybrid content. We have extensive experience and state-of-the-art systems in image categorization, image retrieval, image enhancement, quality / aesthetic assessment and document image processing. Our technology has won numerous awards in public competitions such as the PASCAL Visual Object Challenge, ImageCLEF or the ImageNet Large Scale Visual Recognition Challenge.
The Xerox Research Centre Europe is located in Grenoble, in the heart of the French Alps, close to both the Italian and Swiss borders. Based in France, the centre is part of the global Xerox Innovation Group made up of 650 researchers and Engineers in five world renowned research and technology centers.
To submit an application, please send your CV, cover letter as well as the name of at least one reference to both firstname.lastname@example.org and email@example.com.