Vision and Learning Group

West Virginia University
We investigate new and fundamental problems and applications in computer vision and machine learning research. We develop novel techniques for endowing machines with high-level visual processing capabilities, much like humans use their visual system for action. We do so by deriving new machine learning and computational tools that account for the physics, semantics, and dynamics of the visual world. The outcome of this research is applicable to areas such as image and video analysis and reasoning, medical and biomedical imaging and data science applications, biometrics, autonomous navigation, robotics, and many others.

Woodburn Hall Deep Styled

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.

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.

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.

Recent Posts

The Circuit News highlights research from the Vision and Learning Group

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The Circuit News has highlighted our research project funded by the NSF in their weekly video segment.

WVU’s Statler College recognizes the Vision and Learning Group PI

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The Statler College recognizes Gianfranco Doretto as Outstanding Researcher of the year at senior level.

UPE recognizes a Vision and Learning Group member

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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

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Electric fish and robots may hold the key to achieving “autonomous lifelong machine learning,” based on research conducted at West Virginia University with t...