Overall Objectives
Scientific Foundations
Application Domains
Software
- Deformable Registration Software
- Dense image and surface descriptors
- Dissimilarity Coefficient learning
- Efficient bounding-based object detection
- Fast Primal Dual Strategies for Optimization of Markov Random Fields
- imaGe-based Procedural Modeling Using Shape Grammars
- Learning-based symmetry detection
- Texture Analysis Using Modulation Features and Generative Models
- Sparse Prediction
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Scientific Foundations
Application Domains
Software
- Deformable Registration Software
- Dense image and surface descriptors
- Dissimilarity Coefficient learning
- Efficient bounding-based object detection
- Fast Primal Dual Strategies for Optimization of Markov Random Fields
- imaGe-based Procedural Modeling Using Shape Grammars
- Learning-based symmetry detection
- Texture Analysis Using Modulation Features and Generative Models
- Sparse Prediction
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Previous | 
Home