Márton Szemenyei

According to our database, Márton Szemenyei authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Designing an Embedded Feature Selection Algorithm for a Drowsiness Detector Model Based on Electroencephalogram Data.

Blanka Bencsik, István Reményi, Márton Szemenyei, János Botzheim

Sensors, February, 2023

Channel Attention Separable Convolution Network for Skin Lesion Segmentation.

Changlu Guo, Jiangyan Dai, Márton Szemenyei, Yugen Yi

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Fully neural object detection solutions for robot soccer.

Márton Szemenyei, Vladimir Estivill-Castro

Neural Comput. Appl., 2022

Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer.

Zoltán Lorincz, Márton Szemenyei, Róbert Moni

CoRR, 2022

Semantically Consistent Sim-to-Real Image Translation with Neural Networks.

Solt Skribanek, Márton Szemenyei, Róbert Moni

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

3D Shape Recognition Methods for Tangible User Interfaces

Márton Szemenyei

PhD thesis, 2021

Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity.

Márton Szemenyei, Patrik Reizinger

J. Artif. Intell. Soft Comput. Res., 2021

Channel Attention Residual U-Net for Retinal Vessel Segmentation.

Changlu Guo, Márton Szemenyei, Yangtao Hu, Wenle Wang, Wei Zhou, Yugen Yi

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Channel Attention Residual U-Net for Retinal Vessel Segmentation.

Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou

CoRR, 2020

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

Changlu Guo, Márton Szemenyei, Yugen Yi, Wenle Wang, Buer Chen, Changqi Fan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Residual Spatial Attention Network for Retinal Vessel Segmentation.

Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning.

Patrik Reizinger, Márton Szemenyei

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dense Residual Network for Retinal Vessel Segmentation.

Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

ROBO: Robust, Fully Neural Object Detection for Robot Soccer.

Márton Szemenyei, Vladimir Estivill-Castro

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation.

Changlu Guo, Márton Szemenyei, Yang Pei, Yugen Yi, Wei Zhou

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

3D Object Detection and Scene Optimization for Tangible Augmented Reality.

Márton Szemenyei, Ferenc Vajda

Period. Polytech. Electr. Eng. Comput. Sci., 2018

Real-Time Scene Understanding Using Deep Neural Networks for RoboCup SPL.

Márton Szemenyei, Vladimir Estivill-Castro

Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018

2017

Dimension reduction for objects composed of vector sets.

Márton Szemenyei, Ferenc Vajda

Int. J. Appl. Math. Comput. Sci., 2017