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Graph@FIT Submission to the NVIDIA AI City Challenge 2018.

, , , , and . CVPR Workshops, page 77-84. IEEE Computer Society, (2018)

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Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement., , , , , , and . IEEE Trans. Intelligent Transportation Systems, 20 (5): 1633-1643 (2019)Learning Feature Aggregation in Temporal Domain for Re-Identification., , , , , and . CoRR, (2019)BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance., , and . IEEE Trans. Intelligent Transportation Systems, 20 (1): 97-108 (2019)Graph@FIT Submission to the NVIDIA AI City Challenge 2018., , , , and . CVPR Workshops, page 77-84. IEEE Computer Society, (2018)BrnoCompSpeed: Review of Traffic Camera Calibration and Comprehensive Dataset for Monocular Speed Measurement., , , , , , and . CoRR, (2017)BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance., , and . CoRR, (2017)Geometric Alignment by Deep Learning for Recognition of Challenging License Plates., , , and . ITSC, page 3524-3529. IEEE, (2018)Holistic recognition of low quality license plates by CNN using track annotated data., , , , , and . AVSS, page 1-6. IEEE Computer Society, (2017)Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision., , , , and . ITSC, page 1001-1006. IEEE, (2019)Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment., , , and . CVPR Workshops, page 150-158. Computer Vision Foundation / IEEE, (2019)