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 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.
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.
The Circuit News has highlighted our research project funded by the NSF in their weekly video segment.
The Statler College recognizes Gianfranco Doretto as Outstanding Researcher of the year at senior level.
UPE recognizes Ram Zaveri with the Dan Drew Award for his outstanding academic and service excellence.
Electric fish and robots may hold the key to achieving “autonomous lifelong machine learning,” based on research conducted at West Virginia University with t...