Rebati R. Gaire

Computer Vision Engineer - Software Engineer

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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

selected publications

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    EnCoDe: Enhancing Compressed Deep Learning Models Through Feature—Distillation and Informative Sample Selection
    Rebati Gaire, Sepehr Tabrizchi, and Arman Roohi
    In 2023 International Conference on Machine Learning and Applications (ICMLA), 2023
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    Histogram of oriented gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation
    Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, and 2 more authors
    Medical Image Analysis, 2023
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    Why is the winner the best?
    Matthias Eisenmann, Annika Reinke, Vivienn Weru, and 8 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
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    Placental vessel segmentation and registration in fetoscopy: literature review and MICCAI FetReg2021 challenge findings
    Sophia Bano, Alessandro Casella, Francisco Vasconcelos, and 8 more authors
    Medical Image Analysis, 2023