Graph Clustering for Image Segmentation
We propose a graph clustering approach for image segmentation by developing diffusion processes defined on arbitrary graphs.
Audiovisual Speech Inversion
We focus on recovering aspects of vocal tract’s geometry and dynamics from speech, a problem referred to as speech inversion.
Image Texture Modeling and Analysis
We pursue a concise texture modeling, analysis and segmentation system for generic natural images.
Multigrid Geometric Active Contours
We investigate multigrid techniques for the solution of the time-dependent PDEs of geometric active contour models in Computer Vision.
Image Saliency through Spatial Surprise
Using an information-theoretic approach to study bottom-up spatial saliency, we show how Bayesian surprise can be interpreted to explain spatial saliency.
Audiovisual Speech Recognition
We have developed highly adaptive multimodal fusion rules based on uncertainty compensation which are compatible with synchronous and asynchronous multimodal interaction architectures.