| 3D‐vision based detection, localization, and sizing of broccoli heads in the field K Kusumam, T Krajník, S Pearson, T Duckett, G Cielniak Journal of Field Robotics 34 (8), 1505-1518, 2017 | 101 | 2017 |
| Image features for visual teach-and-repeat navigation in changing environments T Krajník, P Cristóforis, K Kusumam, P Neubert, T Duckett Robotics and Autonomous Systems 88, 127-141, 2017 | 92 | 2017 |
| Can you pick a broccoli? 3D-vision based detection and localisation of broccoli heads in the field K Kusumam, T Krajník, S Pearson, G Cielniak, T Duckett 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 34 | 2016 |
| Image features and seasons revisited T Krajník, P Cristóforis, M Nitsche, K Kusumam, T Duckett 2015 European conference on mobile robots (ECMR), 1-7, 2015 | 34 | 2015 |
| Virtual human questionnaire for analysis of depression, anxiety and personality S Jaiswal, M Valstar, K Kusumam, C Greenhalgh Proceedings of the 19th ACM international conference on intelligent virtual …, 2019 | 33 | 2019 |
| Adaptive image processing methods for outdoor autonomous vehicles L Halodová, E Dvořáková, F Majer, J Ulrich, T Vintr, K Kusumam, T Krajník International Conference on Modelling and Simulation for Autonomous Systems …, 2018 | 26 | 2018 |
| Two-stage temporal modelling framework for video-based depression recognition using graph representation J Xu, H Gunes, K Kusumam, M Valstar, S Song IEEE Transactions on Affective Computing, 2024 | 20 | 2024 |
| 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 | 14 | 2022 |
| 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 | 11 | 2022 |
| Semi-supervised learning for image alignment in teach and repeat navigation Z Rozsypálek, G Broughton, P Linder, T Rouček, K Kusumam, T Krajník Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 731-738, 2022 | 6 | 2022 |
| Towards automated benchmarking of robotic experiments T Krajnık, M Hanheide, T Vintr, K Kusumam, T Duckett ICRA Workshop on Reproducible Research in Robotics, 2017 | 6 | 2017 |
| Relational learning using body parts for human activity recognition in videos K Kusumam Master's thesis, University of Leeds, 2012 | 6 | 2012 |
| Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator X Gao, C Luo, Q Lin, W Xie, M Liu, L Shen, K Kusumam, S Song arXiv preprint arXiv:2208.06222, 2022 | 3 | 2022 |
| A simple baseline for evaluating Expression Transfer and Anonymisation in Video Transfer G Haddon–Hill, K Kusumam, M Valstar 2021 9th International Conference on Affective Computing and Intelligent …, 2021 | 2 | 2021 |
| Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator X Gao, Q Lin, C Luo, W Xie, L Shen, K Kusumam, S Song ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Scale-free photo-realistic adversarial pattern attack X Gao, W Xie, M Liu, C Luo, Q Lin, L Shen, K Kusumam, S Song CoRR, 2022 | 1 | 2022 |
| Unsupervised Face Manipulation via Hallucination K Kusumam, E Sanchez, G Tzimiropoulos 2020 25th International Conference on Pattern Recognition (ICPR), 2406-2413, 2021 | 1 | 2021 |
| Multimodal analysis of depression in unconstrained environments K Kusumam University of Nottingham, 2023 | | 2023 |
| Can you pick a broccoli? 3D-vision based detection and localisation of broccoli heads in the field G Cielniak, T Duckett, T Krajnik, K Kusumam, S Pearson University of Lincoln, 2016 | | 2016 |
| Image features and seasons revisited M Nitsche, P deCristoforis, T Duckett, T Krajnik, K Kusumam University of Lincoln, 2015 | | 2015 |
Tomas KrajnikCzech Technical University in Prague, Artificial Intelligence CenterVerified email at fel.cvut.cz
