| Boxcars: 3d boxes as cnn input for improved fine-grained vehicle recognition J Sochor, A Herout, J Havel Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 236 | 2016 |
| Vehicle re-identification for automatic video traffic surveillance D Zapletal, A Herout Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 215 | 2016 |
| Boxcars: Improving fine-grained recognition of vehicles using 3-d bounding boxes in traffic surveillance J Sochor, J Špaňhel, A Herout IEEE transactions on intelligent transportation systems 20 (1), 97-108, 2018 | 183 | 2018 |
| Calibration of rgb camera with velodyne lidar M Veľas, M Španěl, Z Materna, A Herout Václav Skala-UNION Agency, 2014 | 176 | 2014 |
| Automatic camera calibration for traffic understanding. M Dubská, A Herout, J Sochor BMVC 4 (6), 8, 2014 | 159 | 2014 |
| Fully automatic roadside camera calibration for traffic surveillance M Dubská, A Herout, R Juránek, J Sochor IEEE Transactions on Intelligent Transportation Systems 16 (3), 1162-1171, 2014 | 149 | 2014 |
| Holistic recognition of low quality license plates by CNN using track annotated data J Špaňhel, J Sochor, R Juránek, A Herout, L Maršík, P Zemčík 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 131 | 2017 |
| Traffic surveillance camera calibration by 3d model bounding box alignment for accurate vehicle speed measurement J Sochor, R Juránek, A Herout Computer Vision and Image Understanding 161, 87-98, 2017 | 129 | 2017 |
| Fast detection and recognition of QR codes in high-resolution images I Szentandrási, A Herout, M Dubská Proceedings of the 28th spring conference on computer graphics, 129-136, 2012 | 108 | 2012 |
| CNN for IMU assisted odometry estimation using velodyne LiDAR M Velas, M Spanel, M Hradis, A Herout 2018 IEEE International Conference on Autonomous Robot Systems and …, 2018 | 93 | 2018 |
| Collar line segments for fast odometry estimation from velodyne point clouds M Velas, M Spanel, A Herout 2016 IEEE International Conference on Robotics and Automation (ICRA), 4486-4495, 2016 | 92 | 2016 |
| Comprehensive data set for automatic single camera visual speed measurement J Sochor, R Juránek, J Špaňhel, L Maršík, A Široký, A Herout, P Zemčík IEEE Transactions on Intelligent Transportation Systems 20 (5), 1633-1643, 2018 | 90 | 2018 |
| Cnn for very fast ground segmentation in velodyne lidar data M Velas, M Spanel, M Hradis, A Herout 2018 IEEE International Conference on Autonomous Robot Systems and …, 2018 | 88 | 2018 |
| Review of Hough transform for line detection A Herout, M Dubská, J Havel, A Herout, M Dubská, J Havel Real-Time Detection of Lines and Grids: By PClines and Other Approaches, 3-16, 2013 | 83* | 2013 |
| Yet faster ray-triangle intersection (using SSE4) J Havel, A Herout IEEE Transactions on Visualization and Computer Graphics 16 (3), 434-438, 2009 | 75 | 2009 |
| PClines—line detection using parallel coordinates M Dubská, A Herout, J Havel CVPR 2011, 1489-1494, 2011 | 67 | 2011 |
| Real-time object detection on CUDA A Herout, R Jošth, R Juránek, J Havel, M Hradiš, P Zemčík Journal of Real-Time Image Processing 6, 159-170, 2011 | 57 | 2011 |
| Large-scale physics-based terrain editing using adaptive tiles on the GPU J Vanek, B Benes, A Herout, O Stava IEEE computer graphics and applications 31 (6), 35-44, 2011 | 53 | 2011 |
| Real-time precise detection of regular grids and matrix codes M Dubská, A Herout, J Havel Journal of Real-Time Image Processing 11, 193-200, 2016 | 52 | 2016 |
| Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points. M Dubská, A Herout BMVC, 2013 | 51 | 2013 |
Pavel ZemcikFaculty of Information Technology, Brno University of TechnologyCorreu electrònic verificat a fit.vutbr.cz