Classification and fast few-shot learning of steel surface defects with randomized network AM Nagy, L Czúni Applied Sciences 12 (8), 3967, 2022 | 14 | 2022 |
Detecting Object Defects with Fusioning Convolutional Siamese Neural Networks. AM Nagy, L Czúni VISIGRAPP (5: VISAPP), 157-163, 2021 | 9 | 2021 |
Zero-shot learning and classification of steel surface defects AM Nagy, L Czúni Proc. of SPIE Vol 12084, 120841C-1, 2022 | 8 | 2022 |
Particle filter based on joint color texture histogram for object tracking AM Nagy, A Ahmed, HH Zayed International Image Processing, Applications and Systems Conference, 1-6, 2014 | 6 | 2014 |
Segmentation and error detection of PV modules AR Rodriguez, B Holicza, AM Nagy, Z Vörösházi, G Bereczky, L Czúni 2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022 | 5 | 2022 |
Hybrid iterated Kalman particle filter for object tracking problems AM Nagy, A Ahmed, HH Zayed International Conference on Computer Vision Theory and Applications 2, 375-381, 2013 | 4 | 2013 |
Active multiview recognition with hidden Markov temporal support AM Nagy, M Rashad, L Czúni Signal, Image and Video Processing 15, 315-322, 2021 | 2 | 2021 |
Improving object recognition of CNNs with multiple queries and HMMs L Czúni, AM Nagy Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 266-272, 2020 | 1 | 2020 |
A robust approach for object tracking based on particle filter and optimized likelihood AM Nagy, A Ahmed, HH Zayed, S el Kom International Journal of Emerging Technologies in Computational and Applied …, 2014 | 1 | 2014 |
Deep Neural Network Models for the Recognition of Traffic Signs Defects AM Nagy, L Czúni 2021 11th IEEE International Conference on Intelligent Data Acquisition and …, 2021 | | 2021 |
Hidden Markov Models for Pose Estimation. L Czúni, AM Nagy VISIGRAPP (5: VISAPP), 598-603, 2020 | | 2020 |
Classification and Fast Incremental Learning of Steel Surface Defects with Randomized Network AM Nagy, L Czúni Appl. Sci, 0 | | |
Low Complexity 3D Object Recognition for Mobile Devices based on Hidden Markov Models L Czúni, AM Nagy, M Rashad | | |