Publications - Stanislav Mikeš


Books and chapters (1)

1. * Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation. Pattern Recognition, 227-248. In-Tech, Vienna 2008.   Download

Journal articles (10)

1. Stanislav Mikeš, Michal Haindl: Texture Segmentation Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence 44:9 (2022), 5647-5663. IEEE Computer Society.   Download
2. Michal Haindl, Stanislav Mikeš: A competition in unsupervised color image segmentation. Pattern Recognition 57:9 (2016), 136-151. Elsevier.   Download
3. Stanislav Mikeš, Michal Haindl, G. Scarpa, R. Gaetano: Benchmarking of Remote Sensing Segmentation Methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:5 (2015), 2240-2248.   Download
4. Michal Haindl, Stanislav Mikeš: Unsupervised Image Segmentation. IAPR Newsletter 36:4 (2014), 23-23.   Download
5. Stanislav Mikeš, Michal Haindl, Radek Holub: National Gallery in Prague. ERCIM News 86 (2011), 23-24. European Research Consortium for Informatics and Mathematics.   Download
6. * Michal Haindl, Stanislav Mikeš, G. Scarpa: Unsupervised Detection of Mammogram Regions of Interest. Lecture Notes in Computer Science 2007, 33-40.   Download
7. * Michal Haindl, Jiří Grim, Stanislav Mikeš: Texture Defect Detection. Lecture Notes in Computer Science 2007, 987-994.   Download
8. * Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation Using Multiple Segmenters Strategy. Lecture Notes in Computer Science 4472 (2007), 210-219.
9. * Stanislav Mikeš, Michal Haindl: Prague texture segmentation data generator and benchmark. ERCIM News 64 (2006), 67-68. European Research Consortium for Informatics and Mathematics.
10. * Michal Haindl, Stanislav Mikeš: Colour texture segmentation using modelling approach. Pattern Recognition and Image Analysis 3687:- (2005), 484-491.

Conference papers (14)

1. Stanislav Mikeš, Michal Haindl: Optimal Activation Function for Anisotropic BRDF Modeling. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP, 162-169. SciTePress, Lisbon 2023.   Download
2. Stanislav Mikeš, Michal Haindl: View Dependent Surface Material Recognition. Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), 156-167. Springer, Cham 2019.   Download
3. Michal Haindl, Stanislav Mikeš, M. Kudo: Unsupervised Surface Reflectance Field Multi-segmenter. Computer Analysis of Images and Patterns - CAIP 2015, 261-273. Springer International Publishing, Switzerland 2015.   Download
4. Michal Haindl, Stanislav Mikeš: Unsupervised Image Segmentation Contest. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), 1484-1489. IEEE Computer Society, Stockholm 2014.   Download
5. Michal Haindl, Stanislav Mikeš: Unsupervised Dynamic Textures Segmentation. Computer Analysis of Images and Patterns, 433-440. Springer, Heidelberg 2013.   Download
6. Stanislav Mikeš, Michal Haindl, G. Scarpa: Remote Sensing Segmentation Benchmark. 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 1-4. IEEE Press, Piscataway, NJ 2012.   Download
7. * Michal Haindl, Stanislav Mikeš, Pavel Vácha: Illumination Invariant Unsupervised Segmenter. Proceedings of the 16th International Conference on Image Processing, ICIP 2009, 4025-4028. IEEE, Los Alamitos 2009.   Download
8. * Michal Haindl, Stanislav Mikeš, Pavel Pudil: Unsupervised Hierarchical Weighted Multi-Segmenter. Multiple Classifier Systems, LNCS 5519, 272-282. Springer, Berlin Heidelberg 2009.   Download
9. * Michal Haindl, Stanislav Mikeš: Texture Segmentation Benchmark. Proceedings of the 19th International Conference on Pattern Recognition, 2933-2936. IEEE Press, Los Alamitos 2008.   Download
10. * Michal Haindl, Stanislav Mikeš: Unsupervised Mammograms Segmentation. Proceedings of the 19th International Conference on Pattern Recognition, 676-679. IEEE Press, Los Alamitos 2008.   Download
11. * Stanislav Mikeš, Michal Haindl, Radek Holub: Navigation in Virtual Environment. 2nd International Conference EVA, 111-118. Austrian Computer Society, Vienna 2008.   Download
12. * Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation Using Multispectral Modelling Approach. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 203-206. IEEEPress, Piscataway 2006.   Download
13. * Michal Haindl, Stanislav Mikeš: Model-based texture segmentation. Image Analysis and Recognition. Proceedings, 306-313. Springer, Berlin 2004.
14. * Stanislav Mikeš, Michal Haindl: Multispectral texture segmentation. WDS '03 Proceedings of Contributed Papers, 221-225. MFF UK, Praha 2003.

Other publications (2)

1. Stanislav Mikeš: Image Segmentation. MFF UK, Praha 2010.
2. Petr Somol, Pavel Vácha, Stanislav Mikeš, Jan Hora, Pavel Pudil, Pavel Žid: Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification. Research Report 2287. ÚTIA, Praha 2010.   Download