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.
UPE recognizes a Vision and Learning Group member
UPE recognizes Ram Zaveri with the Dan Drew Award for his outstanding academic and service excellence.
Neuroscience of electric fish gives jolt to advances in machine learning at WVU
Electric fish and robots may hold the key to achieving “autonomous lifelong machine learning,” based on research conducted at West Virginia University with t...
Multiple Postdoc Positions - Computer Vision in Digital Health
Applicants are invited for multiple postdoc positions to work with researchers at the center. We are looking for a postdoc with a strong background in comput...
WVU-led Dolly Sods GPU cluster to drive new frontiers of computational research in physics and astronomy, drug discovery, data science and more
A $1.1M grant awarded to WVU by the NSF MRI program will allow building a HPC cluster based on GPUs for cutting-edge Deep Learning reseasch.