Computer Vision and Human Activity Analysis
Human activity recognition.
Motion tracking and understanding.
Human body modeling.
Pattern Recognition and Machine Learning
Statistical and structural pattern recognition frameworks.
Machine learning and Graphical models.
Neural networks.
Computational Vsion and Cognition (in the context of Sensory Neuroscience and Psychophysics)
Perceptual organization in biological and artificial vision.
Psychophysics on Visual search and Attention.
Computational modeling of biological visual processing.
Comparative vision in evolution and its application to artificial vision