Postdoctoral Researcher at Institute of Information Science and Technologies
Massa-Carrara, Tuscany, Italy
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Summary
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Nicola Messina is a postdoctoral researcher at ISTI-CNR in Pisa, bringing nine years of experience at the intersection of computer vision and deep learning. He holds an M.Sc. in Computer Engineering and a Ph.D. in Information Engineering from the University of Pisa, and focuses on Transformer-based architectures for efficient cross-modal analysis of text, images, and video. His work spans relational understanding in multimedia, attentive models for anomaly detection and abstract visual reasoning, and applied surveillance video analysis. Passionate about the “secrets of intelligence,” he also explores links to computer graphics, which informs his approach to visual representation and synthesis. Based in Tuscany, he blends rigorous academic training with hands-on research that targets both theoretical advances and practical multimodal systems.
9 years of coding experience
Doctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at Università di Pisa
Code and Resources for the Transformer Encoder Reasoning and Alignment Network (TERAN), an extension to our previous work TERN that was accepted at ICPR 2020
Contributions:10 commits, 9 pushes, 1 branch in 2 years 5 months
Contributions:31 commits, 10 pushes, 1 branch in 1 year 1 month
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