Yashu Gautamkumar Patel
Computer science
Hometown: Surat, Gujarat, India
Graduation date: Spring 2026
Additional details: Honors student
FURI | Summer 2025
Event-Based Deep Learning Model for Advanced Image and Video Deblurring
Blurry visuals are a significant challenge in capturing clear images and videos during fast motion or in poor lighting conditions, affecting crucial applications like robotics, self-driving vehicles, and surveillance systems. Current methods often fail to rapidly or accurately address this blur. This research proposes an innovative solution combining event-based cameras, which capture visual information through motion-triggered pixel intensity changes, with advanced deep learning methods that integrate hybrid convolutional and transformer-based neural networks. By leveraging both image and event-motion data, this approach aims to achieve superior deblurring performance, surpassing existing methods in speed and clarity. Successful implementation will improve visual system reliability across multiple industries, contributing to safer and more effective real-world technology deployment.
Mentor: Bharatesh Chakravarthi
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.