Print preview personal data approved: 2024. I. 05. Publications |
2022
from data base, 2022. XII. 07. |
Szemenyei Márton, Estivill-Castro Vladimir: Fully neural object detection solutions for robot soccer, NEURAL COMPUTING & APPLICATIONS 34: (24) pp. 21419-21432. type of document: Journal paper/Article number of independent citations: 4 language: English URL |
2022
from data base, 2022. XII. 07. |
Szemenyei Márton, Reizinger Patrik: Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity, JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH 12: (2) pp. 135-148. type of document: Journal paper/Article language: English URL |
2021
from data base, 2022. XII. 07. |
Guo Changlu, Szemenyei Marton, Yi Yugen, Wang Wenle, Chen Buer, Fan Changqi: SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation, In: IEEE (szerk.) 2020 25th International Conference on Pattern Recognition (ICPR), IEEE (2021) pp. 1236-1242. type of document: Part of book/Proceedings Paper number of independent citations: 123 language: English URL |
2021
from data base, 2022. XII. 07. |
Guo Changlu, Szemenyei Marton, Hu Yangtao, Wang Wenle, Zhou Wei, Yi Yugen: Channel Attention Residual U-Net for Retinal Vessel Segmentation, In: IEEE, , (szerk.) 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), IEEE (2021) pp. 1185-1189. type of document: Part of book/Proceedings Paper number of independent citations: 24 language: English URL |
2020
from data base, 2022. XII. 07. |
Reizinger Patrik, Szemenyei Marton: Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning, In: Pau, Closas; Mónica, Bugallo (szerk.) 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2020) pp. 3542-3546. type of document: Part of book/Proceedings Paper number of independent citations: 8 language: English URL |
2020
from data base, 2022. XII. 07. |
Guo Changlu, Szemenyei Márton, Yi Yugen, Zhou Wei, Bian Haodong: Residual Spatial Attention Network for Retinal Vessel Segmentation, In: King, Irwin; Chan, Jonathan H.; Kwok, James T.; Leung, Andrew Chi-Sing; Pasupa, Kitsuchart; Yang, Haiqin (szerk.) Neural Information Processing, Springer International Publishing (2020) pp. 509-519. type of document: Part of book/Proceedings Paper number of independent citations: 18 language: English URL |
2019
from data base, 2022. XII. 07. |
Guo Changlu, Szemenyei Márton, Pei Yang, Yi Yugen, Zhou Wei: SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation, In: IEEE, (szerk.) (szerk.) 2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), IEEE (2019) pp. 439-444. type of document: Part of book/Proceedings Paper number of independent citations: 40 language: English URL |
2019
from data base, 2022. XII. 07. |
Szemenyei Márton, Estivill-Castro Vladimir: Real-Time Scene Understanding Using Deep Neural Networks for RoboCup SPL, In: Holz, Dirk; Genter, Katie; Saad, Maarouf; von Stryk, Oskar (szerk.) RoboCup 2018: Robot World Cup XXII, Springer International Publishing (2019) pp. 96-108. type of document: Part of book/Proceedings Paper number of independent citations: 9 language: English URL |
2019
from data base, 2022. XII. 07. |
Szemenyei Márton, Estivill-Castro Vladimir: ROBO: Robust, Fully Neural Object Detection for Robot Soccer, In: Chalup, Stephan; Niemueller, Tim; Suthakorn, Jackrit; Williams, Mary-Anne (szerk.) RoboCup 2019: Robot World Cup XXIII, Springer International Publishing (2019) pp. 309-322. type of document: Part of book/Proceedings Paper number of independent citations: 9 language: English URL |
2017
from data base, 2022. XII. 07. |
Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Objects Composed of Vector Sets, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE 27: (1) pp. 169-180. type of document: Journal paper/Article number of independent citations: 5 language: English URL |
| Number of independent citations to these publications: | 240 |
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