Ing.

Jakub Sochor

[photo]

Publikace

  • 2019

    ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman, DOBEŠ Petr, BARTL Vojtěch a HEROUT Adam. Learning Feature Aggregation in Temporal Domain for Re-Identification. Computer Vision and Image Understanding, roč. 192, č. 11, 2019, s. 1-12. ISSN 1077-3142.
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    JURÁNEK Roman, ŠPAŇHEL Jakub, SOCHOR Jakub, HEROUT Adam a NOVÁK Jan. Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density. Transactions on Transport Sciences, roč. 10, č. 1, 2019, s. 50-57. ISSN 1802-9876.
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  • 2018

    SOCHOR Jakub, ŠPAŇHEL Jakub a HEROUT Adam. BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems, roč. 2019, č. 1, 2018, s. 97-108. ISSN 1524-9050.
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    SOCHOR Jakub, JURÁNEK Roman, ŠPAŇHEL Jakub, MARŠÍK Lukáš, ŠIROKÝ Adam, HEROUT Adam a ZEMČÍK Pavel. Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement. IEEE Transactions on Intelligent Transportation Systems, roč. 2018, č. 99, s. 1633-1643. ISSN 1524-9050.
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    ŠPAŇHEL Jakub, SOCHOR Jakub a 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, s. 1-6. ISBN 978-1-5386-6974-7.
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    ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman a 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, s. 3524-3529. ISBN 978-1-72810-321-1. ISSN 2153-0017.
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    SOCHOR Jakub, ŠPAŇHEL Jakub, JURÁNEK Roman, DOBEŠ Petr a 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, s. 77-84. ISBN 978-1-5386-6100-0.
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    ŠPAŇHEL Jakub, SOCHOR Jakub a 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, s. 1-5. ISBN 978-1-5386-6974-7.
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  • 2017

    HEROUT Adam, JURÁNEK Roman, SOCHOR Jakub a ŠPAŇHEL Jakub. Analýza trajektorie a pohybu vozidel. Brno: Centrum dopravního výzkumu, v. v. i., 2017.
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    SOCHOR Jakub, ŠPAŇHEL Jakub a 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 a 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, s. 1-6. ISBN 978-1-5386-2939-0.
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    HEROUT Adam, JURÁNEK Roman, SOCHOR Jakub a ŠPAŇHEL Jakub. Studie proveditelnosti pro potřeby sčítání dopravy na základe automatické algoritmizace s minimalistickými vstupy operátora. Brno: Centrum dopravního výzkumu, v. v. i., 2017.
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    SOCHOR Jakub, JURÁNEK Roman a HEROUT Adam. Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement. Computer Vision and Image Understanding, roč. 2017, č. 161, s. 87-98. ISSN 1077-3142.
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  • 2016

    SOCHOR Jakub, HEROUT Adam a 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, s. 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 a 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, s. 1-5. ISBN 978-1-4799-6184-9.
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    SOCHOR Jakub a 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, s. 1-8. ISBN 978-1-4673-6795-0.
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  • 2014

    DUBSKÁ Markéta, SOCHOR Jakub a 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, s. 1-10. ISBN 1-901725-52-9.
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    SOCHOR Jakub. Fully Automated Real-Time Vehicles Detection and Tracking with Lanes Analysis. In: Proceedings of CESCG 2014. Smolenice: Technische Universität Wien, 2014, s. 59-66. ISBN 978-3-9502533-6-8.
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    DUBSKÁ Markéta, HEROUT Adam, JURÁNEK Roman a SOCHOR Jakub. Fully Automatic Roadside Camera Calibration for Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems, roč. 2014, č. 1, s. 1-10. ISSN 1524-9050.
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