Jakub Špaňhel

Brno University of Technology — Czech Republic

Computer Science · Physical Sciences

9h-index506citations26works0.02yr avg
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Research Topics

Advanced Neural Network Applications(11), Video Surveillance and Tracking Methods(9), Vehicle License Plate Recognition(6), Autonomous Vehicle Technology and Safety(5), Handwritten Text Recognition Techniques(4)

Publications26 total

1<sup>st</sup> Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
2023· 28 citedOpen Access
Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform
IFIP advances in information and communication technology·2023· 1 citedOpen Access
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
arXiv (Cornell University)·2022· 12 citedOpen Access
PersonGONE: Image Inpainting for Automated Checkout Solution
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 7 cited
AI-Driven Intent-Based Networking for 5G Enhanced Robot Autonomy
IFIP advances in information and communication technology·2022· 4 citedOpen Access
PlaneCalib: Automatic Camera Calibration by Multiple Observations of Rigid Objects on Plane
2020· 12 cited
Density-Based Vehicle Counting with Unsupervised Scale Selection
2020· 2 cited
Automatic camera calibration by landmarks on rigid objects
Machine Vision and Applications·2020· 22 cited
Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs
2020· 9 cited
How does road marking in horizontal curves influence driving behaviour?
European Transport Research Review·2020· 10 citedOpen Access
Learning feature aggregation in temporal domain for re-identification
Computer Vision and Image Understanding·2019· 2 citedOpen Access
Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision
2019· 4 cited
Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density
Transactions on Transport Sciences·2019Open Access
Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment
Computer Vision and Pattern Recognition·2019· 4 cited
Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications
2018· 9 cited
Geometric Alignment by Deep Learning for Recognition of Challenging License Plates
2018· 6 cited
Detection of Traffic Violations of Road Users Based on Convolutional Neural Networks
2018· 7 cited
Graph@FIT Submission to the NVIDIA AI City Challenge 2018
2018· 5 cited
Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
IEEE Transactions on Intelligent Transportation Systems·2018· 80 citedOpen Access
BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance
IEEE Transactions on Intelligent Transportation Systems·2018· 147 citedOpen Access
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Frequent Co-authors

Adam Herout(19), Roman Juránek(12), Jakub Sochor(11), Vojtěch Bartl(9), Petr Dobeš(4), Pavel Zemčík(3), Lukás Marsík(2), Adam Široký(2), Benjamin Kiefer(2), Matej Kristan(2), Janez Perš(2), Lojze Žust(2), Fabio Poiesi(2), Fabio Andrade(2), Alexandre Bernardino(2), Matthew Dawkins(2), Jenni Raitoharju(2), Yitong Quan(2), Adem Atmaca(2), Timon Höfer(2)