Ing.

Štěpán Ježek

FEEC, UTKO – Researcher

+420 54114 6922
xjezek16@vut.cz

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Ing. Štěpán Ježek

Publications

  • 2024

    JONÁK, M.; MUCHA, J.; JEŽEK, Š.; KOVÁČ, D.; CZÍRIA, K. SPAGRI-AI: Smart precision agriculture dataset of aerial images at different heights for crop and weed detection using super-resolution. AGRICULTURAL SYSTEMS, 2024, vol. 216, no. April 2024, p. 1-11. ISSN: 0308-521X.
    Detail | WWW

  • 2023

    JEŽEK, Š. Visual defect detection in real-world industrial applications using convolutional neural networks. Proceedings I of the 29th Student EEICT 2023 (General Papers). Brno: 2023. p. 389-393. ISBN: 978-80-214-6153-6.
    Detail | WWW

    JEŽEK, Š.; BURGET, R.; VERMA, S.; VISHAL, V.; JOSHI, R.; DUTTA, M. AI-enhanced Mental Health Diagnosis: Leveraging Transformers for Early Detection of Depression Tendency in Textual Data. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE Computer Society, 2023. p. 56-61. ISBN: 979-8-3503-9328-6.
    Detail | WWW

    JONÁK, M.; DORAZIL, J.; KOLAŘÍK, M.; JEŽEK, Š.; BURGET, R.; KOTRLÝ, M. Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE Computer Society, 2023. p. 188-192. ISBN: 979-8-3503-9328-6.
    Detail | WWW

  • 2022

    JEŽEK, Š.; JONÁK, M.; BURGET, R.; DVOŘÁK, P.; SKOTÁK, M. Anomaly detection for real-world industrial applications: benchmarking recent self-supervised and pretrained methods. In 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Valencia, Spain: IEEE, 2022. p. 64-69. ISBN: 979-8-3503-9866-3.
    Detail | WWW

    JONÁK, M.; JEŽEK, Š.; BURGET, R. Evaluation of Nested U-Net models performance on MVTec AD dataset. In 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Valencia, Spain: IEEE, 2022. p. 70-75. ISBN: 979-8-3503-9866-3.
    Detail

  • 2021

    JEŽEK, Š.; JONÁK, M.; BURGET, R.; DVOŘÁK, P.; SKOTÁK, M. Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions. In 2021 13th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Online: IEEE, 2021. p. 66-71. ISBN: 978-1-6654-0219-4.
    Detail | WWW

*) Publications are generated once a 24 hours.