| No-reference video quality assessment via pretrained CNN and LSTM networks D Varga, T Szirányi Signal, Image and Video Processing 13 (8), 1569-1576, 2019 | 60 | 2019 |
| Fully automatic image colorization based on Convolutional Neural Network D Varga, T Szirányi 2016 23rd International Conference on Pattern Recognition (ICPR), 3691-3696, 2016 | 53 | 2016 |
| No-reference video quality assessment based on the temporal pooling of deep features D Varga Neural processing letters 50 (3), 2595-2608, 2019 | 52 | 2019 |
| Multi-pooled inception features for no-reference image quality assessment D Varga Applied Sciences 10 (6), 2186, 2020 | 44 | 2020 |
| No-reference image quality assessment with global statistical features D Varga Journal of Imaging 7 (2), 29, 2021 | 36 | 2021 |
| Fast content-based image retrieval using convolutional neural network and hash function D Varga, T Szirányi 2016 IEEE international conference on systems, man, and cybernetics (SMC …, 2016 | 35 | 2016 |
| No-reference image quality assessment with convolutional neural networks and decision fusion D Varga Applied Sciences 12 (1), 101, 2021 | 34 | 2021 |
| No-reference image quality assessment based on the fusion of statistical and perceptual features D Varga Journal of Imaging 6 (8), 75, 2020 | 33 | 2020 |
| Robust real-time pedestrian detection in surveillance videos D Varga, T Szirányi Journal of Ambient Intelligence and Humanized Computing 8, 79-85, 2017 | 28 | 2017 |
| Composition-preserving deep approach to full-reference image quality assessment D Varga Signal, image and video processing 14 (6), 1265-1272, 2020 | 25 | 2020 |
| Automatic cartoon colorization based on convolutional neural network D Varga, CA Szabo, T Sziranyi Proceedings of the 15th International Workshop on Content-Based Multimedia …, 2017 | 25 | 2017 |
| Full-Reference image quality assessment based on Grünwald–Letnikov derivative, image gradients, and visual saliency D Varga Electronics 11 (4), 559, 2022 | 19 | 2022 |
| No-reference video quality assessment using multi-pooled, saliency weighted deep features and decision fusion D Varga Sensors 22 (6), 2209, 2022 | 16 | 2022 |
| A multi-view pedestrian tracking method in an uncalibrated camera network D Varga, T Szirányi, A Kiss, L Spórás, L Havasi Proceedings of the IEEE international conference on computer vision …, 2015 | 16 | 2015 |
| Pedestrian detection in surveillance videos based on CS-LBP feature D Varga, L Havasi, T Szirányi 2015 International Conference on Models and Technologies for Intelligent …, 2015 | 15 | 2015 |
| Twin deep convolutional neural network for example-based image colorization D Varga, T Szirányi Computer Analysis of Images and Patterns: 17th International Conference …, 2017 | 14 | 2017 |
| Saliency-guided local full-reference image quality assessment D Varga Signals 3 (3), 483-496, 2022 | 13 | 2022 |
| Full-reference image quality assessment based on an optimal linear combination of quality measures selected by simulated annealing D Varga Journal of Imaging 8 (8), 224, 2022 | 12 | 2022 |
| Analysis of Benford’s law for no-reference quality assessment of natural, screen-content, and synthetic images D Varga Electronics 10 (19), 2378, 2021 | 12 | 2021 |
| Person re-identification based on deep multi-instance learning D Varga, T Szirányi 2017 25th European Signal Processing Conference (EUSIPCO), 1559-1563, 2017 | 12 | 2017 |
