| Contrastive learning for image registration in visual teach and repeat navigation Z Rozsypálek, G Broughton, P Linder, T Rouček, J Blaha, L Mentzl, ... Sensors 22 (8), 2975, 2022 | 12 | 2022 |
| Natural criteria for comparison of pedestrian flow forecasting models T Vintr, Z Yan, K Eyisoy, F Kubiš, J Blaha, J Ulrich, CS Swaminathan, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 10 | 2020 |
| Embedding weather simulation in auto-labelling pipelines improves vehicle detection in adverse conditions G Broughton, J Janota, J Blaha, T Rouček, M Simon, T Vintr, T Yang, ... Sensors 22 (22), 8855, 2022 | 6 | 2022 |
| Chronorobotics: Representing the structure of time for service robots T Krajník, T Vintr, G Broughton, F Majer, T Rouček, J Ulrich, J Blaha, ... Proceedings of the 2020 4th International Symposium on Computer Science and …, 2020 | 6 | 2020 |
| Self-supervised robust feature matching pipeline for teach and repeat navigation T Rouček, AS Amjadi, Z Rozsypálek, G Broughton, J Blaha, K Kusumam, ... Sensors 22 (8), 2836, 2022 | 5 | 2022 |
| Toward benchmarking of long-term spatio-temporal maps of pedestrian flows for human-aware navigation T Vintr, J Blaha, M Rektoris, J Ulrich, T Rouček, G Broughton, Z Yan, ... Frontiers in Robotics and AI 9, 890013, 2022 | 4 | 2022 |
| Bootstrapped learning for car detection in planar lidars G Broughton, J Janota, J Blaha, Z Yan, T Krajník Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 758-765, 2022 | 2 | 2022 |
| Inferring Temporal Models of People Presence from Environment Structrure J Blaha Czech Technical University in Prague, 2020 | 2 | 2020 |
| Real Time Fiducial Marker Localisation System with Full 6 DOF Pose Estimation J Ulrich, J Blaha, A Alsayed, T Rouček, F Arvin, T Krajník ACM SIGAPP Applied Computing Review 23 (1), 20-35, 2023 | | 2023 |
| Unsupervised learning of semantic landmarks for visual navigation over extended periods of time J Blaha Czech Technical University in Prague, 2022 | | 2022 |
| Boosting the Performance of Object Detection CNNs with Context-Based Anomaly Detection J Blaha, G Broughton, T Krajník International Conference on Collaborative Computing: Networking …, 2020 | | 2020 |
Tomas KrajnikCzech Technical University in Prague, Artificial Intelligence CenterE-mailová adresa ověřena na: fel.cvut.cz
