Augmented reality to promote collaborative and autonomous learning in higher education J Martín-Gutiérrez, P Fabiani, W Benesova, MD Meneses, CE Mora Computers in human behavior 51, 752-761, 2015 | 630 | 2015 |
Eye blink detection based on motion vectors analysis A Fogelton, W Benesova Computer Vision and Image Understanding 148, 23-33, 2016 | 66 | 2016 |
Fast Superpixel Segmentation Using Morphological Processing W Benesova, M Kottman Proceedinks of the International Conference on Machine Vision and Machine …, 2014 | 38 | 2014 |
Eye blink completeness detection A Fogelton, W Benesova Computer Vision and Image Understanding 176, 78-85, 2018 | 36 | 2018 |
Exploring visual attention and saliency modeling for task-based visual analysis P Polatsek, M Waldner, I Viola, P Kapec, W Benesova Computers & Graphics 72, 26-38, 2018 | 36 | 2018 |
Novelty-based spatiotemporal saliency detection for prediction of gaze in egocentric video P Polatsek, W Benesova, L Paletta, R Perko IEEE Signal Processing Letters 23 (3), 394-398, 2016 | 22 | 2016 |
Počítačové videnie detekcia a rozpoznávanie objektov E ŠIKUDOVÁ, Z ČERNEKOVÁ, V BENEŠOVÁ, Z HALADOVÁ, ... | 14* | 2014 |
Determining the average grain size of super-alloy micrographs W Benesova, A Rinnhofer, G Jakob 2006 International Conference on Image Processing, 2749-2752, 2006 | 14 | 2006 |
Volumetrie data augmentation as an effective tool in mri classification using 3d convolutional neural network M Kompanek, M Tamajka, W Benesova 2019 international conference on systems, signals and image processing …, 2019 | 13 | 2019 |
Accelerated gSLIC for Superpixel Generation used in Object Segmentation R Birkus Proceedings of CESCG 2015: The 19th Central European Seminar on Computer …, 2015 | 13 | 2015 |
Explainable 3D convolutional neural network using GMM encoding M Stano, W Benesova, LS Martak Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 507-513, 2020 | 12 | 2020 |
Improving a neural network model by explanation-guided training for glioma classification based on MRI data F Šefčík, W Benesova International Journal of Information Technology 15 (5), 2593-2601, 2023 | 11 | 2023 |
Segmentation of gliomas in magnetic resonance images using recurrent neural networks S Grivalsky, M Tamajka, W Benesova 2019 42nd International Conference on Telecommunications and Signal …, 2019 | 10 | 2019 |
Transforming convolutional neural network to an interpretable classifier M Tamajka, W Benesova, M Kompanek 2019 International Conference on Systems, Signals and Image Processing …, 2019 | 9 | 2019 |
A mobile system for vision based road sign inventory W Benesova, Y Lypetskyy, L Paletta, A Jeitler, E Hödl in Proc. 5th International Symposium on Mobile Mapping Technology, 2007 | 9 | 2007 |
Texture Similarity Evaluation via Siamese Convolutional Neural Network L Hudec, W Benesova 2018 25th International Conference on Systems, Signals and Image Processing …, 2018 | 8 | 2018 |
Multimedia retrieval that works R Aygun, W Benesova 2018 IEEE conference on multimedia information processing and retrieval …, 2018 | 7 | 2018 |
Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease T Pohl, M Jakab, W Benesova International Journal of Imaging Systems and Technology 32 (2), 673-686, 2022 | 6 | 2022 |
Explaining predictions of deep neural classifier via activation analysis M Stano, W Benesova, LS Martak arXiv preprint arXiv:2012.02248, 2020 | 6 | 2020 |
Visual attention in egocentric field-of-view using rgb-d data V Olesova, W Benesova, P Polatsek Ninth International Conference on Machine Vision (ICMV 2016) 10341, 148-155, 2017 | 6 | 2017 |