Tamás Karácsony

2025

1. 

   BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation

   Tamás Karácsony, João Carmona, and João Paulo Silva Cunha

   arXiv preprint arXiv:2501.12318, Jan 2025

   Bib HTML PDF

   @article{karacsony2025blanketgen2,
     title = {{BlanketGen2-Fit3D:} Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation},
     author = {Kar{\'a}csony, Tam{\'a}s and Carmona, Jo{\~a}o and Cunha, Jo{\~a}o Paulo Silva},
     journal = {arXiv preprint arXiv:2501.12318},
     publisher = {arXiv},
     year = {2025},
     month = jan,
   }

2024

1. 

   Deep learning methods for single camera based clinical in-bed movement action recognition

   Tamás Karácsony, László Attila Jeni, Fernando Torre, and João Paulo Silva Cunha

   Image and Vision Computing, Mar 2024

   Bib HTML

   @article{karacsony2024deep,
     doi = {10.1016/j.imavis.2024.104928},
     url = {https://doi.org/10.1016/j.imavis.2024.104928},
     year = {2024},
     month = mar,
     publisher = {Elsevier},
     volume = {143},
     pages = {104928},
     author = {Kar{\'a}csony, Tam{\'a}s and Jeni, L{\'a}szl{\'o} Attila and De la Torre, Fernando and Cunha, Jo{\~a}o Paulo Silva},
     title = {Deep learning methods for single camera based clinical in-bed movement action recognition},
     journal = {Image and Vision Computing},
   }

2. 

   NeuroKinect4K: A Novel 4K RGB-D-IR Video System with 3D Scene Reconstruction for Enhanced Epileptic Seizure Semiology Monitoring

   Tamás Karácsony, Nicholas Fearns, Christian Vollmar, Denise Birk, Jan Rémi, Soheyl Noachtar, and João Paulo Silva Cunha

   In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2024

   Bib HTML Code

   @inproceedings{karacsony_neurokinect4k_2024,
     doi = {10.1109/EMBC53108.2024.10781546},
     url = {https://doi.org/10.1109/EMBC53108.2024.10781546},
     year = {2024},
     month = jul,
     publisher = {IEEE},
     author = {Kar{\'a}csony, Tam{\'a}s and Fearns, Nicholas and Vollmar, Christian and Birk, Denise and Rémi, Jan and Noachtar, Soheyl and Silva Cunha, João Paulo},
     booktitle = {2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
     title = {{NeuroKinect4K: A Novel 4K {RGB-D-IR} Video System with 3D Scene Reconstruction for Enhanced Epileptic Seizure Semiology Monitoring}},
     pages = {1-5}
   }

2023

1. 

   BlanketGen - A Synthetic Blanket Occlusion Augmentation Pipeline for Motion Capture Datasets

   João Carmona, Tamás Karácsony, and João Paulo Silva Cunha

   In 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), Jul 2023

   Bib HTML PDF Code

   @inproceedings{carmona2023blanketgen,
     author = {Carmona, João and Karácsony, Tamás and Cunha, João Paulo Silva},
     booktitle = {2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)},
     title = {BlanketGen - A Synthetic Blanket Occlusion Augmentation Pipeline for Motion Capture Datasets},
     year = {2023},
     volume = {},
     number = {},
     pages = {112-115},
     doi = {10.1109/ENBENG58165.2023.10175320},
   }

2. 

   BlanketSet - A Clinical Real-World In-Bed Action Recognition and Qualitative Semi-Synchronised Motion Capture Dataset

   João Carmona, Tamás Karácsony, and João Paulo Silva Cunha

   In 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), Jul 2023

   Bib HTML PDF Website

   @inproceedings{carmona2023blanketset,
     author = {Carmona, João and Karácsony, Tamás and Cunha, João Paulo Silva},
     booktitle = {2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)},
     title = {BlanketSet - A Clinical Real-World In-Bed Action Recognition and Qualitative Semi-Synchronised Motion Capture Dataset},
     year = {2023},
     volume = {},
     number = {},
     pages = {116-119},
     doi = {10.1109/ENBENG58165.2023.10175335},
   }

2022

1. 

   Novel 3D video action recognition deep learning approach for near real time epileptic seizure classification

   Tamás Karácsony, Anna Mira Loesch-Biffar, Christian Vollmar, Jan Rémi, Soheyl Noachtar, and João Paulo Silva Cunha

   Scientific Reports, Nov 2022

   Bib HTML PDF

   @article{Karcsony2022,
     doi = {10.1038/s41598-022-23133-9},
     url = {https://doi.org/10.1038/s41598-022-23133-9},
     year = {2022},
     month = nov,
     publisher = {Springer Science and Business Media {LLC}},
     volume = {12},
     number = {1},
     author = {Kar{\'{a}}csony, Tam{\'{a}}s and Loesch-Biffar, Anna Mira and Vollmar, Christian and R{\'{e}}mi, Jan and Noachtar, Soheyl and Cunha, Jo{\~{a}}o Paulo Silva},
     title = {Novel 3D video action recognition deep learning approach for near real time epileptic seizure classification},
     journal = {Scientific Reports},
   }

2021

1. 

   DeepEpil: Towards an Epileptologist-Friendly AI Enabled Seizure Classification Cloud System based on Deep Learning Analysis of 3D videos

   Tamás Karácsony, Anna Mira Loesch-Biffar, Christian Vollmar, Soheyl Noachtar, and João Paulo Silva Cunha

   In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Nov 2021

   Bib HTML PDF

   @inproceedings{9508555,
     author = {Karácsony, Tamás and Loesch-Biffar, Anna Mira and Vollmar, Christian and Noachtar, Soheyl and Cunha, João Paulo Silva},
     booktitle = {2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)},
     title = {DeepEpil: Towards an Epileptologist-Friendly AI Enabled Seizure Classification Cloud System based on Deep Learning Analysis of 3D videos},
     year = {2021},
     volume = {},
     number = {},
     pages = {1-5},
     doi = {10.1109/BHI50953.2021.9508555},
   }

2020

1. 

   A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition

   Tamás Karácsony, Anna Mira Loesch-Biffar, Christian Vollmar, Soheyl Noachtar, and João Paulo Silva Cunha

   In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Nov 2020

   Bib HTML PDF

   @inproceedings{9054649,
     author = {Karácsony, Tamás and Loesch-Biffar, Anna Mira and Vollmar, Christian and Noachtar, Soheyl and Cunha, João Paulo Silva},
     booktitle = {ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition},
     year = {2020},
     volume = {},
     number = {},
     pages = {4117-4121},
     doi = {10.1109/ICASSP40776.2020.9054649},
   }

2019

1. 

   Brain Computer Interface for Neuro-Rehabilitation With Deep Learning Classification and Virtual Reality Feedback

   Tamás Karácsony, John Paulin Hansen, Helle Klingenberg Iversen, and Sadasivan Puthusserypady

   In Proceedings of the 10th Augmented Human International Conference 2019, Nov 2019

   Bib HTML PDF

   @inproceedings{10.1145/3311823.3311864,
     author = {Kar\'{a}csony, Tam\'{a}s and Hansen, John Paulin and Iversen, Helle Klingenberg and Puthusserypady, Sadasivan},
     title = {Brain Computer Interface for Neuro-Rehabilitation With Deep Learning Classification and Virtual Reality Feedback},
     year = {2019},
     isbn = {9781450365475},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3311823.3311864},
     doi = {10.1145/3311823.3311864},
     booktitle = {Proceedings of the 10th Augmented Human International Conference 2019},
     articleno = {22},
     numpages = {8},
     keywords = {CNN, Virtual Reality, Motor Imagery, Brain Computer Interface, Deep learning, Online EEG classification},
     location = {Reims, France},
     series = {AH2019},
   }