Ing.

Jakub Sochor

[photo]

Publications

  • 2019

    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, 2019, pp. 1-12. ISSN 1077-3142.
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    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.
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  • 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.
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    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.
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    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.
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    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.
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    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.
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    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.
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  • 2017

    HEROUT Adam, JURÁNEK Roman, SOCHOR Jakub and ŠPAŇHEL Jakub. Analýza trajektorie a pohybu vozidel. Brno: Transport Research Centre, 2017.
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    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.
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    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.
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    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.
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    SOCHOR Jakub, JURÁNEK Roman and HEROUT Adam. Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement. Computer Vision and Image Understanding, vol. 2017, no. 161, pp. 87-98. ISSN 1077-3142.
    Detail

  • 2016

    SOCHOR Jakub, HEROUT Adam and HAVEL Jiří. BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas: IEEE Computer Society, 2016, pp. 3006-3015. ISBN 978-1-4673-8851-1. ISSN 1063-6919.
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  • 2015

    SZENTANDRÁSI István, ZACHARIÁŠ Michal, KAJAN Rudolf, TINKA Jan, DUBSKÁ Markéta, SOCHOR Jakub and HEROUT Adam. INCAST: Interactive Camera Streams for Surveillance Cams AR. In: Proceedings of the 2015 14th IEEE International Symposium on Mixed and Augmented Reality. Fukuoka: Institute of Electrical and Electronics Engineers, 2015, pp. 1-5. ISBN 978-1-4799-6184-9.
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    SOCHOR Jakub and HEROUT Adam. Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance. In: Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on. Adelaide: Australian Pattern Recognition Society, 2015, pp. 1-8. ISBN 978-1-4673-6795-0.
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  • 2014

    DUBSKÁ Markéta, SOCHOR Jakub and HEROUT Adam. Automatic Camera Calibration for Traffic Understanding. In: Proceedings of BMVC 2014. Nottingham: The British Machine Vision Association and Society for Pattern Recognition, 2014, pp. 1-10. ISBN 1-901725-52-9.
    Detail

    SOCHOR Jakub. Fully Automated Real-Time Vehicles Detection and Tracking with Lanes Analysis. In: Proceedings of CESCG 2014. Smolenice: Technical University Wien, 2014, pp. 59-66. ISBN 978-3-9502533-6-8.
    Detail

    DUBSKÁ Markéta, HEROUT Adam, JURÁNEK Roman and SOCHOR Jakub. Fully Automatic Roadside Camera Calibration for Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems, vol. 2014, no. 1, pp. 1-10. ISSN 1524-9050.
    Detail

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