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.
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The Vision and Learning Group is always looking for outstanding prospective PhD students, either in Computer Science or Electrical Engineering.
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...
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