Ing.

Jakub Špaňhel

Ph.D. student

+420 54114 1298
ispanhel@fit.vut.cz
L205 Office
138520/BUT personal ID

Publications

  • 2023

    KIEFER Benjamin, BARTL Vojtěch, ŠPAŇHEL Jakub, HEROUT Adam and YANG Mau-tsuen et al. 1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). Waikoloa, Hawaii: Institute of Electrical and Electronics Engineers, 2023, pp. 265-302. ISBN 979-8-3503-2056-5.
    Detail

    GAVRIELIDES Andreas, SOPHOCLEOUS Marios, AGAPIOU George, LESSI Christina, ŠPAŇHEL Jakub, LENDINEZ Adrian, QIU Renxi and LI Dayou. Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform. In: IFIP Advances in Information and Communication Technology. Artificial Intelligence Applications and Innovations, vol. 677. Cham: Springer Nature Switzerland AG, 2023, pp. 55-65. ISBN 978-3-031-34170-0. ISSN 1868-422X.
    Detail

  • 2022

    SOPHOCLEOUS Marios, LESSI Christina, XU Zhao, ŠPAŇHEL Jakub, QIU Renxi, LENDINEZ Adrian, CHONDROULIS Ioannis and BELIKAIDIS Ioannis. AI-driven intent-based networking for 5G enhanced robot autonomy. In: AIAI 2022 IFIP WG 12.5 International Workshops. IFIP Advances in Information and Communication Technology, vol. 652. Cham: Springer Nature Switzerland AG, 2022, pp. 61-70. ISSN 1868-422X.
    Detail

    BARTL Vojtěch, ŠPAŇHEL Jakub and HEROUT Adam. PersonGONE: Image Inpainting for Automated Checkout Solution. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2022. New Orleans, LA: IEEE Computer Society, 2022, pp. 3114-3122. ISSN 2160-7516.
    Detail

  • 2020

    BARTL Vojtěch, ŠPAŇHEL Jakub, DOBEŠ Petr, JURÁNEK Roman and HEROUT Adam. Automatic Camera Calibration by Landmarks on Rigid Objects. Machine Vision and Applications, vol. 32, no. 1, 2020, pp. 2-15. ISSN 1432-1769.
    Detail

    DOBEŠ Petr, ŠPAŇHEL Jakub, BARTL Vojtěch, JURÁNEK Roman and HEROUT Adam. Density-Based Vehicle Counting with Unsupervised Scale Selection. In: Digital Image Computing: Techniques and Applications 2020. Melbourne: Institute of Electrical and Electronics Engineers, 2020, pp. 1-8. ISBN 978-1-7281-9108-9.
    Detail

    FOLENTA Ján, ŠPAŇHEL Jakub, BARTL Vojtěch and HEROUT Adam. Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2020. Seattle, WA: IEEE Computer Society, 2020, pp. 2544-2549. ISBN 978-1-7281-9360-1. ISSN 2160-7516.
    Detail

    HAVRÁNEK Pavel, ZŮVALA Robert, ŠPAŇHEL Jakub, HEROUT Adam, VALENTOVÁ Veronika and AMBROS Jiří. How does road marking in horizontal curves influence driving behaviour?. European Transport Research Review, vol. 12, no. 1, 2020, pp. 1-11. ISSN 1866-8887.
    Detail

    ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman, DOBEŠ Petr, BARTL Vojtěch and HEROUT Adam. Learning Feature Aggregation in Temporal Domain for Re-Identification. Computer Vision and Image Understanding, vol. 192, no. 11, 2020, pp. 1-12. ISSN 1077-3142.
    Detail

    BARTL Vojtěch, JURÁNEK Roman, ŠPAŇHEL Jakub and HEROUT Adam. PlaneCalib: Automatic Camera Calibration by Multiple Observations of Rigid Objects on Plane. In: 2020 International Conference on Digital Image Computing: Techniques and Applications (DICTA). Melbourne: Institute of Electrical and Electronics Engineers, 2020, pp. 1-8. ISBN 978-1-7281-9108-9.
    Detail

  • 2019

    ŠPAŇHEL Jakub, JURÁNEK Roman, HEROUT Adam, NOVÁK Jan and HAVRÁNEK Pavel. Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision. In: 2019 22th International Conference on Intelligenet Transportation Systems (ITSC). Auckland: Institute of Electrical and Electronics Engineers, 2019, pp. 1001-1006. ISBN 978-1-5386-7024-8.
    Detail

    ŠPAŇHEL Jakub, BARTL Vojtěch, JURÁNEK Roman and HEROUT Adam. Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2019. Long Beach: IEEE Computer Society, 2019, pp. 150-158. ISSN 2160-7516.
    Detail

    JURÁNEK Roman, ŠPAŇHEL Jakub, SOCHOR Jakub, HEROUT Adam and NOVÁK Jan. Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density. Transactions on Transport Sciences, vol. 10, no. 1, 2019, pp. 50-57. ISSN 1802-9876.
    Detail

  • 2018

    SOCHOR Jakub, ŠPAŇHEL Jakub and HEROUT Adam. BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems, vol. 2019, no. 1, 2018, pp. 97-108. ISSN 1524-9050.
    Detail

    SOCHOR Jakub, JURÁNEK Roman, ŠPAŇHEL Jakub, MARŠÍK Lukáš, ŠIROKÝ Adam, HEROUT Adam and ZEMČÍK Pavel. Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement. IEEE Transactions on Intelligent Transportation Systems, vol. 2018, no. 99, pp. 1633-1643. ISSN 1524-9050.
    Detail

    ŠPAŇHEL Jakub, SOCHOR Jakub and MAKAROV Aleksej. Detection of Traffic Violations of Road Users Based on Convolutional Neural Networks. In: 2018 14th Symposium on Neural Networks and Applications (NEUREL). Belgrade: IEEE Signal Processing Society, 2018, pp. 1-6. ISBN 978-1-5386-6974-7.
    Detail

    ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman and HEROUT Adam. Geometric Alignment by Deep Learning for Recognition of Challenging License Plates. In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC). Lahaina, Maui: IEEE Intelligent Transportation Systems Society, 2018, pp. 3524-3529. ISBN 978-1-72810-321-1. ISSN 2153-0017.
    Detail

    SOCHOR Jakub, ŠPAŇHEL Jakub, JURÁNEK Roman, DOBEŠ Petr and HEROUT Adam. Graph@FIT Submission to the NVIDIA AI City Challenge 2018. In: NVIDIA AI City Challenge 2018 (CVPRW). Salt Lake City: IEEE Computer Society, 2018, pp. 77-84. ISBN 978-1-5386-6100-0.
    Detail

    ŠPAŇHEL Jakub, SOCHOR Jakub and MAKAROV Aleksej. Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications. In: 2018 14th Symposium on Neural Networks and Applications (NEUREL). Belgrade: IEEE Signal Processing Society, 2018, pp. 1-5. ISBN 978-1-5386-6974-7.
    Detail

  • 2017

    HEROUT Adam, JURÁNEK Roman, SOCHOR Jakub and ŠPAŇHEL Jakub. Analýza trajektorie a pohybu vozidel. Brno: Transport Research Centre, 2017.
    Detail

    SOCHOR Jakub, ŠPAŇHEL Jakub and HEROUT Adam. BoxCars: 3D Boxes for Improved Fine-Grained Vehicle Recognition. The Fourth Workshop on Fine-Grained Visual Categorization (CVPR 2017). Honolulu, HI: IEEE Computer Society, 2017.
    Detail

    ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman, HEROUT Adam, MARŠÍK Lukáš and ZEMČÍK Pavel. Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data. In: International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017). Lecce: IEEE Computer Society, 2017, pp. 1-6. ISBN 978-1-5386-2939-0.
    Detail

    HEROUT Adam, JURÁNEK Roman, SOCHOR Jakub and ŠPAŇHEL Jakub. Studie proveditelnosti pro potřeby sčítání dopravy na základe automatické algoritmizace s minimalistickými vstupy operátora. Brno: Transport Research Centre, 2017.
    Detail

Back to top