Research Highlights

Out-of-Distribution Learning

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.

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Immersive Analytics

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.

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Novelty and Anomaly Detection

Novelty and Anomaly Detection

Detecting the presence of outliers, like novelties or anomalies, with respect to a particular distribution has numerous applications in computer vision and in nearly every area of data science.

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Recent Posts

Video Understanding

9 minute read

Video understanding is concerned with the parsing of the image data flow for the semantic understanding of the objects in the scene, but also their actions a...

Human Interactions

2 minute read

Recognizing human interactions from video is an important step forward towards the long-term goal of performing scene understanding fully automatically. Rece...