Postdoctoral Position: Distance Learning For Person Recognition

Postdoctoral Position: Distance Learning For Person Recognition

Posted by Rebecca Martin on Thu, 27/10/2011 - 11:18

The Computer Vision group of the University of Caen (France) and the LEAR group at INRIA Grenoble, Rhone-Alpes (France) are opening a postdoctoral position. The candidate will be jointly supervised and will spend time in both institutions (;

Topic: person recognition and re-identification across networks of cameras is an important problem in computer vision and is required for a large number of applications (such as video surveillance). However, despite the effort of the community, person re-identification is still a challenging problem: the same person can look very differently according to his posture or the camera position, while the difference between two different persons can be small. The goal of this project is to develop algorithms for finding occurrences of the same persons in huge collections of video surveillance images. The key issue is to learn distance functions from the training data, which embed visual information. This research will build on papers such as “Is that you? Metric learning approaches for face identification”, G. Matthieu, V. Jakob and Schmid Cordelia, ICCV 2009” and "Randomized Clustering Forests for Image Classification", F Moosmann, E Nowak and F Jurie, PAMI 2008.

Start date: As soon as possible.

Location: The student will be located at the Computer Vision group at the University of Caen, and will spend approximately a 1 week every 2 months at the INRIA Grenoble research center.

Prof. Frederic Jurie, frederic.jurie(at)
Res. Dir. Cordelia Schmid, cordelia.schmid(at)

* Recent PhD (preferably in Computer Science, computer vision, machine learning or Applied Mathematics)
* Solid programming skills; the project involves programming in Matlab and C++
* Solid mathematics knowledge (especially linear algebra and tatistics)
* Creative and highly motivated
* Fluent in English, both written and spoken
* Prior knowledge in the areas of computer vision, machine learning or data mining is a plus (ideally a Master thesis in a related field)

Please send applications via email, including:
* a complete CV including a list of publications
* graduation marks as well as rank
* the name and email address of three references

Applications should be sent to Frederic Jurie (frederic.jurie(at)

Applicants can be asked to do a short assignment in order to demonstrate their research abilities.