Research Highlights
Activity Recognition
Providing a semantic interpretation of the actions and interactions between the actors in a scene enables behavior analysis for automated decision-making. This is still a challenging problem, especially when performed online.
Out-of-Distribution Learning
Out-of-Distribution learning is concerned with developing methods where the distribution of the data processed at test time may be different from the distribution of the data used during the training of a model.
Immersive Analytics
Recent advanecs in augmented, mixed, and virtual reality, coupled with the need to perform analysis and decision-making on large-scale collections of volumetric images stimulate the research in immersive analytics.
Recent Posts
Video Surveillance
Increasingly, large networks of surveillance cameras are employed to monitor public and private facilities. This continuous collection of imagery has the pot...
Aerial Video Analysis
In aerial video moving objects of interest are typically very small, and being able to detect them is key to enable tracking. There are detection methods tha...
Face Modeling and Tracking
Active Appearance Models (AAMs) represent facial images with generative models for both shape and appearance of the face. Despite their success, they enjoy l...
People Detection
People detection and tracking in video are fundamental Computer Vision capabilities that still constitute a research challenge. Important difficulties are du...