| Deep learning in robotics: Survey on model structures and training strategies AI Károly, P Galambos, J Kuti, IJ Rudas IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 266-279, 2020 | 98 | 2020 |
| Unsupervised clustering for deep learning: A tutorial survey AI Károly, R Fullér, P Galambos Acta Polytechnica Hungarica 15 (8), 29-53, 2018 | 74 | 2018 |
| Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models AI Károly, RN Elek, T Haidegger, K Széll, P Galambos 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 16 | 2019 |
| Automated dataset generation with blender for deep learning-based object segmentation AI Károly, P Galambos 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and …, 2022 | 9 | 2022 |
| Unsupervised real-time classification of cycle stages in collaborative robot applications AI Károly, J Kuti, P Galambos 2018 IEEE 16th World Symposium on Applied Machine Intelligence and …, 2018 | 7 | 2018 |
| Task-specific grasp planning for robotic assembly by fine-tuning gqcnns on automatically generated synthetic data AI Károly, P Galambos Applied Sciences 13 (1), 525, 2022 | 2 | 2022 |
| Towards Optical Flow Ego-motion Compensation for Moving Object Segmentation. RN Elek, AI Károly, T Haidegger, P Galambos ROBOVIS, 114-120, 2020 | 2 | 2020 |
| Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data AI Károly, S Tirczka, H Gao, IJ Rudas, P Galambos IEEE Transactions on Cybernetics, 2023 | 1 | 2023 |
| Lessons Learnt with Traditional Image Processing Techniques for Mushroom Detection S Tarsoly, AI Karoly, P Galambos 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics …, 2022 | 1 | 2022 |
| Automatic generation and annotation of object segmentation datasets using robotic arm AI Károly, Á Károly, P Galambos 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics …, 2022 | 1 | 2022 |
| Simultaneous planning of grasp and motion using sample regions and gradient-based optimization T Murooka, AI Karoly, F von Drigalski, Y Ijiri 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 1 | 2020 |
| Synthetic Multimodal Video Benchmark (SMVB): Utilizing Blender for rich dataset generation AI Károly, I Nádas, P Galambos 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and …, 2024 | | 2024 |
| Movement planning device, movement planning method, and non-transitory computer readable medium FWHE Von Drigalski, R Yonetani, AI Karoly US Patent App. 18/026,825, 2023 | | 2023 |
| Robotic Manipulation of Pathological Slides Powered by Deep Learning and Classical Image Processing AI Károly, S Tirczka, T Piricz, P Galambos 2022 IEEE 22nd International Symposium on Computational Intelligence and …, 2022 | | 2022 |
| Moving Obstacle Segmentation with an Optical Flow-based DNN: an Implementation Case Study AI Károly, RN Elek, T Haidegger, P Galambos 2021 IEEE 25th International Conference on Intelligent Engineering Systems …, 2021 | | 2021 |
| OCSVM-based Evaluation Method for Generative Neural Networks AI Károly, M Takács, P Galambos 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | | 2019 |
| Vine Diseases Detection Trials in the Carpathian Region with Proximity Aerial Images 29 Levente Tamas, Stefan Gubo and Tibor Lukić Enhancing Safety Protocols … NEY Aichaoui, J Magyar, M Szabóová, P Sinčák, M Csonthó, A Rövid, ... | | |
