Rebati R. Gaire
Computer Vision Engineer - Software Engineer
Hi, I’m Rebati Raman Gaire. I’m currently pursuing a master’s degree in Computer Science at the School of Computing, University of Nebraska-Lincoln
, where I also work as a Graduate Research Assistant. My current research focuses on advanced model compression techniques, active learning, and continual learning for edge devices.
My background includes diverse research and industry projects, where I’ve gained experience in applying various deep learning techniques to develop software solutions for practical problems. I have worked with active learning, self-supervised learning, federated learning, image segmentation, object detection, and generative models like GANs and VAEs. I completed my undergraduate studies in Computer Engineering at Tribhuvan University, Institute of Engineering (IOE), Pulchowk Campus.
Looking ahead, I’m eager to continue exploring and advancing innovative solutions in computer vision, AI, and software engineering. I’m enthusiastic about connecting with professionals who share these interests and discussing potential collaborations. If you have any intriguing projects or opportunities for collaboration, let’s connect
. I’d love to hear from you!
news
Mar 16, 2024 | Awarded Most Improved Master's Student by the School of Computing, UNL. |
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Dec 16, 2023 | Presented our paper “EnCoDe: Enhancing Compressed Deep Learning Models Through Feature—Distillation and Informative Sample Selection” at ICMLA 2023. |
Apr 15, 2023 | Our paper “Why is the winner the best?” accepted at CVPR 2023. |
Feb 15, 2023 | Our paper “SenTer: A reconfigurable processing-in-sensor architecture enabling efficient ternary MLP” accepted at GLSVLSI 2023. |
Oct 15, 2022 | Our paper “Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation” accepted at Medical Image Analysis Journal. |