LEAR - 2015 - Annual activity report

LEAR

LEAR - 2015

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

Highlights of the Year

New Software and Platforms

Video descriptors
Patch CKN
Convolutional Kernel Networks
DeepFlow
EpicFlow
Motion Boundaries Detection
Pose estimation and segmentation of multiple people
FlipFlop: Fast Lasso-based Isoform Prediction as a Flow Problem

New Results

Visual recognition in images
Learning and statistical models
Recognition in video

Bilateral Contracts and Grants with Industry

MBDA
Google
Facebook
MSR-Inria joint lab: scientific image and video mining
MSR-Inria joint lab: structured large-scale machine learning
Xerox Research Center Europe

Partnerships and Cooperations

National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries

Bibliography

Publications of the year

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2015 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 Science and Digital Science:

3.4. - Machine learning and statistics
5.3. - Image processing and analysis
5.4. - Computer vision

Other Research Topics and Application Domains:

9.4.5. - Data science