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 and interactions defining their behavior.
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 Vision and Learning Group is always looking for outstanding prospective PhD students, either in Computer Science or Electrical Engineering.
Computational Photography CS 674 Fall 201...
Machine Learning CS 691A Fall 2016 ...