Dimension reduction for objects composed of vector sets. - Márton Szemenyei; Ferenc Vajda (Int. J. Appl. Math. Comput. Sci., 2017)

Real-Time Scene Understanding Using Deep Neural Networks for RoboCup SPL. - Márton Szemenyei; Vladimir Estivill-Castro (RoboCup, 2018)

3D Object Detection and Scene Optimization for Tangible Augmented Reality. - Márton Szemenyei; Ferenc Vajda (Period. Polytech. Electr. Eng. Comput. Sci., 2018)

SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yang Pei; Yugen Yi; Wei Zhou 003 (BIBE, 2019)

ROBO: Robust, Fully Neural Object Detection for Robot Soccer. - Márton Szemenyei; Vladimir Estivill-Castro (RoboCup, 2019)

Dense Residual Network for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Ying Xue; Wei Zhou 003; Yangyuan Li (ICASSP, 2020)

Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning. - Patrik Reizinger; Márton Szemenyei (ICASSP, 2020)

Residual Spatial Attention Network for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Wei Zhou 003; Haodong Bian (ICONIP (1), 2020)

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Wenle Wang; Buer Chen; Changqi Fan (ICPR, 2020)

Channel Attention Residual U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Wei Zhou 003 (CoRR, 2020)

Channel Attention Residual U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yangtao Hu; Wenle Wang; Wei Zhou 003; Yugen Yi (ICASSP, 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)

3D Shape Recognition Methods for Tangible User Interfaces - Márton Szemenyei (2021)

Semantically Consistent Sim-to-Real Image Translation with Neural Networks. - Solt Skribanek; Márton Szemenyei; Róbert Moni (ICAISC (2), 2022)

Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer. - Zoltán Lorincz; Márton Szemenyei; Róbert Moni (CoRR, 2022)

Fully neural object detection solutions for robot soccer. - Márton Szemenyei; Vladimir Estivill-Castro (Neural Comput. Appl., 2022)

Channel Attention Separable Convolution Network for Skin Lesion Segmentation. - Changlu Guo; Jiangyan Dai; Márton Szemenyei; Yugen Yi (ICONIP (3), 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, 2023)

Adversarial 3D Objects Against Monocular Depth Estimators. - Tamás Márk Fehér; Márton Szemenyei (ICMLT, 2024)

Multi-view object detection using NeRF and YOLO. - Nándor Kofaragá; Márton Szemenyei (MOST, 2024)

Automatic Traffic Monitoring using Spatial Transformer Network and Monocular Depth Estimation. - Ádám Kürti; Márton Szemenyei (MOST, 2024)

Continual learning with selective nets. - Hai Tung Luu; Márton Szemenyei (Appl. Intell., 2025)