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George Bebis

Foundation Professor, Computer Science and Engineering

Open to new collaborations

Research interests

Computer vision Image processing Pattern recognition Machine learning Evolutionary computing

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. Advances in Visual Computing: 20th International Symposium, ISVC 2025, Las Vegas, NV, USA, November 17–19, 2025, Proceedings, Part II

    G Bebis, J Ye, Y Wang, MK Luković, NK Kalantari, I Cho, Y Yang, .... Springer Nature , 2026. 2026

  2. Two-stage mammographic density classification: unsupervised hierarchical Gabor segmentation with Vision Transformer and ConvNeXt

    P Aliniya, M Nicolescu, M Nicolescu, G Bebis. Seventh International Conference on Computer Vision and Computational … , 2026. 2026

  3. Towards Near-Real-Time Wildfire Monitoring: A Deep Learning Application Using GOES Observations

    M Badhan, M Bavandpour, K Shamsaei, D Or, G Bebis, NP Lareau, .... Preprints , 2026. 2026

  4. Abnormality detection and quantification in maize fields using selective unsupervised domain adaptation

    A Huq, D Zermas, G Bebis. Machine Vision and Applications 37 (6), 148 , 2026. 2026

  5. Two-step data augmentation for masked face detection and recognition: Turning fake masks to real

    Y Yang, G Bebis, M Nicolescu. arXiv preprint arXiv:2512.15774 , 2025. 2025

    4 citations

  6. Ensembles of deep one-class classifiers for multi-class image classification

    A Novotny, G Bebis, A Tavakkoli, M Nicolescu. Machine Learning with Applications 19, 100621 , 2025. 2025

    4 citations

  7. Can score-based generative modeling effectively handle medical image classification?

    S Sarker, P Sarker, G Bebis, A Tavakkoli. 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 1-5 , 2025. 2025

    2 citations

  8. Using breast density for hybrid region and pixel-level loss function

    P Aliniya, M Nicolescu, M Nicolescu, G Bebis. Machine Vision and Applications 36 (4), 78 , 2025. 2025

    1 citation

  9. Abnormality Detection in Maize Fields Using Selective Domain Adaptation–Driven Data Augmentation

    A Huq, D Zermas, G Bebis. International Symposium on Visual Computing, 256-269 , 2025. 2025

    1 citation

  10. Editor's Note: Special Issue on Advances in Visual Computing

    G Bebis, L Bo, A Yao, Y Liu, Y Duan, M Lau, R Khadka, A Crisan, .... Machine Vision and Applications 36 (1), 3 , 2025. 2025

All publications on Google Scholar