Ing.

Štěpán Ježek

FEKT, UTKO – vědecký pracovník

+420 54114 6922
xjezek16@vut.cz

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Ing. Štěpán Ježek

Publikace

  • 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. s. 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. s. 56-61. ISBN: 979-8-3503-9328-6.
    Detail | WWW

  • 2022

    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. s. 70-75. ISBN: 979-8-3503-9866-3.
    Detail

    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. s. 64-69. ISBN: 979-8-3503-9866-3.
    Detail | WWW

  • 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. s. 66-71. ISBN: 978-1-6654-0219-4.
    Detail | WWW

*) Citace publikací se generují jednou za 24 hodin.