Localizing images and objects from visual information stands out as one of the most challenging and dynamic topics in computer vision, owing to its broad applications across different domains. In this talk, we will introduce and delve into several research directions aimed at advancing solutions to these complex problems.
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S
Speaker
Safwan Wshah
2
talks
Associate Professor
University of Vermont
Associate Professor in the Department of Computer Science at the University of Vermont. His research interests encompass the intersection of machine learning theory and application, with a particular emphasis on geo-localization from visual information. Additionally, he maintains broader interests in deep learning, computer vision, data analytics, and image processing.
Bio from: Feb 2024 – AI, Machine Learning & Data Science Meetup
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Localizing images and objects from visual information stands out as one of the most challenging and dynamic topics in computer vision, owing to its broad applications across different domains. In this talk, we will introduce and delve into several research directions aimed at advancing solutions to these complex problems.