Members
Overall Objectives
Research Program
Application Domains
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
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Section: Partnerships and Cooperations

National Initiatives

QUAERO Project

Participants : Matthijs Douze, Dan Oneata, Danila Potapov, Jerome Revaud, Cordelia Schmid, Franck Thollard, Heng Wang.

Quaero is a French-German search engine project supported by OSEO. It runs from 2008 to 2013 and includes many academic and industrial partners, such as Inria, CNRS, the universities of Karlsruhe and Aachen as well as LTU, Exalead and INA. LEAR/Inria is involved in the tasks of automatic image annotation, image clustering as well as large-scale image and video search. See http://www.quaero.org for more details.

ANR Project Qcompere

Participants : Guillaume Fortier, Cordelia Schmid, Jakob Verbeek.

This three-and-a-half year project started in November 2010. It is aimed at identifying people in video using both audio (using speech and speaker recognition) and visual data in challenging footage such as news broadcasts, or movies. The partners of this project are the CNRS laboratories LIMSI and LIG, the university of Caen, Inria's LEAR team, as well as two industrial partners Yacast and Vecsys Research.

ANR Project Physionomie

Participants : Frédéric Jurie [University of Caen] , Jakob Verbeek, Shreyas Saxena.

Face recognition is nowadays an important technology in many applications ranging from tagging people in photo albums, to surveillance, and law enforcement. In this 3-year project (2013–2016) the goal is to broaden the scope of usefulness of face recognition to situations where high quality images are available in a dataset of known individuals, which have to be identified in relatively poor quality surveillance footage. To this end we will develop methods that can compare faces despite an asymmetry in the imaging conditions, as well as methods that can help searching for people based on facial attributes (old/young, male/female, etc.). The tools will be evaluated by law-enforcement professionals. The participants of this project are: Morpho, SensorIT, Université de Caen, Université de Strasbourg, Fondation pour la Recherche Stratégique, Préfecture de Police, Service des Technologies et des Systèmes d’Information de la Sécurité Intérieure, and LEAR.

PEPS CNRS BMI (Biology - Mathematics - Computer Science), Project FlipFlop

Participants : Elsa Bernard [Institut Curie, Ecoles des Mines-ParisTech] , Laurent Jacob [CNRS, LBBE Laboratory] , Julien Mairal, Jean-Philippe Vert [Institut Curie, Ecoles des Mines-ParisTech] , Anne-Hélène Monsoro-Burq [Institut Curie] .

Several inverse problems in genomics involve retrieving meaningful DNA sequences from observed data. This is for example the case of the isoform deconvolution problem of RNA-Seq data, which is currently of utmost importance in genomics. The problem can be cast as a sparse feature selection problem, where the features are mapped to the paths of a graph called “splicing graph”. Even though the number of paths is exponential in the graph size, we investigate network flow optimization techniques to efficiently solve the inverse problem in polynomial time [36] . The project involves researchers in machine learning, optimization, bio-informatics, and biology, from Inria Rhone-Alpes, Institut Curie in Paris, and the LBBE laboratory in Lyon.

MASTODONS Program CNRS - Project Gargantua

Participants : Zaid Harchaoui, Julien Mairal.

The project is concerned with machine learning and mathematical optimization for big data. The partners are from LJK (Grenoble), LIG (Grenoble), LIENS (ENS, Paris), Lab. P. Painleve (Lille). Principal investigator/leader: Zaid Harchaoui. Dates: May 2013-Dec. 2013

Equipe-action ADM du Labex Persyval (Grenoble) “Khronos”

Participant : Zaid Harchaoui.

The partners of this project are from the laboratories LJK, LIG, GIPSA, TIMC, CEA. The principal investigators/leaders are Zaid Harchaoui (Inria and LJK), Massih-Reza Amini (LIG). The project will start in Jan. 2014 and end in Dec. 2016.

Project Math-STIC “Gauge”

Participant : Zaid Harchaoui.

The project is concerned with statistical learning with gauge regularization penalty, a project funded by the Math-STIC “pôle” of the Université Joseph Fourier (Grenoble University). The partners are Inria Rhone-Alpes, CREST-ENSAE, Université Paris-Est. Principal investigator/leader: Zaid Harchaoui

Dates: Jan 2012-Dec 2013.