LEAR - 2014 - Annual activity report

LEAR

LEAR - 2014

Project-Team Lear

Members

Overall Objectives

Introduction

Research Program

Image features and descriptors and robust correspondence
Statistical modeling and machine learning for image analysis
Visual recognition and content analysis

Application Domains

Application Domains

New Software and Platforms

Yael library
SPArse Modeling Software (SPAMS)
FlipFlop: Fast Lasso-based Isoform Prediction as a Flow Problem
DeepFlow
Mixing Body-Part Sequences for Human Pose Estimation
Image Transformation Pursuit
Convolutional Kernel Networks
EpicFlow

New Results

Highlights of the Year
Visual recognition in images
Learning and statistical models
Recognition in video

Bilateral Contracts and Grants with Industry

MSR-Inria joint lab: scientific image and video mining
MSR-Inria joint lab: structured large-scale machine learning
WayWay, OMB LABS
Xerox Research Center Europe

Partnerships and Cooperations

National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Other responsabilities
Invited presentations
Popularization

Bibliography

Publications of the year

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2014 Project-Team Activity Report

LEAR

Learning and recognition in vision

Research centre: Grenoble - Rhône-Alpes

In partnership with: CNRS, Institut polytechnique de Grenoble, Université Joseph Fourier (Grenoble)

In collaboration with: Laboratoire Jean Kuntzmann (LJK)

Field: Perception, Cognition and Interaction

Theme: Vision, perception and multimedia interpretation

Keywords: Computer Vision, Machine Learning, Video, Recognition