| 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 |

2018

Vantuch, T., Fulneček, J., Holuša, M., Mišák, S., Vaculík, J.: An examination of thermal features' relevance in the task of battery-fault detection Applied Sciences (Switzerland), 8 (2), Article number 182 (2018)

2017

Holuša, M., Sojka, E.: The k-max distance in graphs and images. Pattern Recognition Letters, volume 98, pp. 103-109 (2017)

Holuša, M., Sojka, E.: Image segmentation based on solving the flow in the mesh with the connections of limited capacities. In Proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, pp. 163-170 (2017)

Vantuch, T., Gaura, J., Misak, S., Zelinka, I.: A complex network based classification of covered conductors faults detection. Advances in Intelligent Systems and Computing, 535, pp. 278-286 (2017)

2016

Gaura, J., Sojka, E.: Resistance-Geodesic Distance and Its Use in Image Segmentation. International Journal on Artificial Intelligence Tools, Volume 25, Issue 5, 1 October 2016, Article number 1640002 (2016)

Šurkala, M., Fusek, R., Holuša, M., Sojka, E.: Hierarchical fast mean-shift segmentation in depth images. In Proceedings of the 17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016, pp. 441-452 (2016)

Fusek, R., Sojka, E.: Energy transfer features combined with dct for object detection. Signal, Image and Video Processing, Volume 10, Issue 3, 1 March 2016, pp. 1-8 (2016) [bibtex] [PDF]


2015

Gaura, J., Sojka, E.: Normalised diffusion cosine similarity and its use for image segmentation. In Proceedings of the 4th International Conference on Pattern Recognition Applications and Methods, pp. 121-129 (2015)

Mozdren, K., Sojka, E., Surkala, M., Fusek, R.: Affiliation possibility map filtering for image segmentation improvement. In Proceedings of the 4th International Conference on Image Processing Theory, Tools and Applications, pp. xx-xx (2015)

Mozdren, K., Sojka, E., Fusek, R., Surkala, M.: Layered RC circuit with dynamic resistances for background subtraction. In Proceedings of the 4th International Conference on Image Processing Theory, Tools and Applications, pp. xx-xx (2015)

Fusek, R., Sojka, E.: Distance-Based Descriptors for Pedestrian Detection. In Proceedings of the 16th International Conference on Advanced Concepts for Intelligent Vision Systems, pp. 357-368 (2015)

Holuša, M., Sojka, E.: A k-max Geodesic Distance and its Application in Image Segmentation. In Proceedings of the 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, pp. 618-629 (2015) [bibtex] [PDF]


2014

Gaura, J., Sojka, E.: Resistance-geodesic distance and its use in image processing and segmentation. In Proceedings of the 10th International Symposium on Visual Computing, pp. 238-249 (2014)

Krumnikl, M., Sojka, E.,Gaura, J.: Modified fuzzy C-means as a stereo segmentation method. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, pp. 40-47 (2014)

Fusek, R., Sojka, E., Mozdřeň, K., Šurkala, M.: Energy Based Descriptors and their Application for Car Detection. In VISAPP 2014 - Proceedings of the International Conference on Computer Vision Theory and Applications, pp. 492-499 (2014)

Fusek, R., Sojka, E.: Distance-based descriptors and their application in the task of object detection. In Pattern Recognition - 36th German Conference, GCPR 2014, Munster, Germany, September 2-5, 2014, Proceedings. pp. 488-498 (2014)

Fusek, R., Sojka, E.: Gradient-DCT (G-DCT) Descriptors. In Proceedings of the 4th International Conference on Image Processing Theory, Tools and Applications (IPTA 2014), pp. 134-139 (2014)

Fusek, R., Sojka, E., Mozdren, K., Surkala, M.: An Improvement of Energy-Transfer Features Using DCT for Face Detection. In Image and Signal Processing, Lecture Notes in Computer Science, vol. 8509, pp. 511-519. Springer International Publishing (2014)

Fusek, R., Sojka, E., Mozdren, K., Surkala, M.: Hierarchical Energy-transfer Features. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, pp. 695-702 (2014) [bibtex] [PDF]


2013

Sojka, E., Šurkala, M., Gaura, J.: Mean Shift with Flatness Constraints. In Proceedings of the 18th Scandinavian Conference on Image Analysis, SCIA 2013, pp. 107-118 (2013)

Šurkala, M., Mozdřeň, K., Fusek, R., Sojka, E.: Layered Mean Shift Methods. In Proceedings of the Scale Space and Variational Methods in Computer Vision, SSVM 2013, pp. 465-476 (2013) [PDF]

Šurkala, M., Mozdřeň, K., Fusek, R., Sojka, E.: Hierarchical Layered Mean Shift Methods. In Proceedings of the 15th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2013, pp. 538-545 (2013 [PDF]

Fusek, R., Sojka, E., Mozdřeň, K., Šurkala, M.: Energy-Transfer Features and their Application in the Task of Face Detection. In Proceedings of the 10th International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp. 147-152, (2013) [PDF]

Fusek, R., Sojka, E., Mozdřeň, K., Šurkala, M.: Energy-Transfer Features for Pedestrian Detection. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Li, B., Porikli, F., Zordan, V., Klosowski, J., Coquillart, S., Luo, X., Chen, M., Gotz, D. (eds.) Advances in Visual Computing, Lecture Notes in Computer Science, vol. 8034, pp. 425–434. Springer Berlin Heidelberg (2013) [PDF]

Fusek, R., Mozdřeň, K., Šurkala, M., Sojka, E.: AdaBoost for Parking Lot Occupation Detection. Advances in Intelligent Systems and Computing, vol. 226, pp. 681-690 (2013) [PDF]

Holuša, M., Sojka, E.: Image Segmentation Using Iterated Graph Cuts with Residual Graph. In Proceedings of the 9th International Symposium on Visual Computing, ISVC 2013, pp. 228-237 (2013) [bibtex]

Fabián, T.: Parking lot occupancy detection using computational fluid dynamics. In 8th International Conference on Computer Recognition Systems CORES 2013, pp. 733-742 (2013)

Fabián, T.: A Vision-based Algorithm for Parking Lot Utilization Evaluation Using Conditional Random Fields. In 9th International Symposium on Visual Computing ISVC 2013, pp. 1-12 (2013)


2012

Šurkala, M., Mozdřeň, K., Fusek, R., Sojka, E.: Hierarchical Evolving Mean-Shift. In Proceedings of the 19th IEEE International Conference on Image Processing, ICIP 2012, pp. 1593-1596 (2012) [PDF]

Krpec, J., Němec, M.: Face detection CUDA accelerating. In Proceedings of the 5th International Conference on Advances in Computer-Human Interactions, ACHI 2012, pp. 155-160 (2012)

Janošek, L., Němec, M.: Fast Polynomial Approximation Acceleration on the GPU. In Proceedings of the Sixth International Conference on Digital Society, ICDS 2012, pp. 69-72 (2012)

Holuša, M., Sojka, E.: Object detection from multiple images based on the graph cuts. In Proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, pp. 262-271 (2012) [bibtex]

Fabián, T., Gaura, J., Kotas, P.: Iris localization and extraction algorithm from an eye image. International Journal of Signal and Imaging Systems Engineering IJSISE, vol. 5, no. 2, pp. 69-77 (2012)

Krumnikl, M., Olivka, P.: Pwm nonlinearity reduction in microstepping unit firmware. Przeglad Elektrotechniczny, 88(3 A), pp. 232-236 (2012)

Krumnikl, M., Sojka, E.,Gaura, J.: A new level-set based algorithm for bimodal depth segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7517 LNCS, pp. 225-236 (2012)


2011

Gaura, J., Sojka, E., Krumnikl, M.: Image Segmentation Based on k-Means Clustering and Energy-Transfer Proximity. In Proceedings of the 7th International Symposium on Visual Computing, ISVC 2011, pp. 567-577 (2011)

Gaura, J., Sojka, E., Krumnikl, M.: Image Segmentation Based on Electrical Proximity in a Resistor-Capacitor Network. In Proceedings of the Advanced Concepts for Intelligent Vision Systems, ACIVS 2011, pp. 216-227 (2011)

Larysz, J., Němec, M., Fasuga, R.: User interfaces and usability issues form mobile applications. In Proceedings of the Communications in Computer and Information Science, ICDIPC 2011, pp. 29-43 (2011)

Šurkala, M., Mozdřeň, K., Fusek, R., Sojka, E.: Hierarchical Blurring Mean-Shift. In Proceedings of the 13th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2011, pp. 228-238 (2011) [PDF]

Milata, M., Krumnikl, M., Moravec, P.: On the usability of vehicle-to-roadside communications using ieee 802.11b/g unplanned wireless networks. In Communications in Computer and Information Science, 189 CCIS (PART 2), pp. 167-177 (2011)

Olivka, P., Krumnikl, M.: Software controlled high efficient and accurate microstepping unit for embedded systems. In Communications in Computer and Information Science, 189 CCIS(PART 2), pp. 138-146 (2011)


2010

Sojka, E., Gaura, J., Fabián, T., Krumnikl, M.: Fast Mean-Shift Algorithm Based on Discretisation and Interpolation. In Proceedings of the Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, pp. 402-413 (2010)

Sojka, E., Gaura, J., Šrubař, Š., Fabián, T., Krumnikl, M.: Blurring Mean-Shift with a Restricted Data-set Modification for Applications in Image Processing. In Proceedings of the 6th International Symposium on Visual Computing, ISVC 2010, pp. 310-319 (2010)

Fabián, T., Gaura, J., Kotas, P.: An algorithm for iris extraction. In 2nd International Conference on Image Processing Theory, Tools and Applications IPTA 2010, pp. 464-468 (2010)

Fabián, T.: Mixture of gaussians exploiting histograms of oriented gradients for background subtraction. In 6th International Symposium on Visual Computing ISVC 2010, pp. 716-725 (2010)

Krumnikl, M.: Stereo matching in mean shift attractor space. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6455 LNCS(PART 3), pp. 465-473 (2010)

Krumnikl, M., Sojka, E.,Gaura, J., Motyka, O.: Three-dimensional reconstruction of macroscopic features in biological materials. In Communications in Computer and Information Science, 52, pp. 225-234 (2010)


2009

Sojka, E., Gaura, J., Fabián, T., Krumnikl, M.: Active Contours without Edges and without Reinitialisation. In Proceedings of the 8th International Conference Computer Information Systems and Industrial Management Applications, CISIM 2009, pp. 914-917 (2009)

Krumnikl, M., Sojka, E.,Gaura, J., Motyka, O.: 3d reconstruction for textureless surfaces : Surface reconstruction for biological research of bryophyte canopies. In Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2009, pp. 95-100 (2009)


2008

Schreiber, J., Sojka, E., Ličev, L., Škňouřilová, P., Gaura, J., Školoudík, D.: A New Method for Detection of Brain Stem in Transcranial Ultrasound Images. In Proceedings of the 1st International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2008, pp. 478-483 (2008)

Sojka, E., Gaura, J., Krumnikl, M.: Active Contours without Edges and with Simple Shape Priors. In Proceedings of the Advanced Concepts for Intelligent Vision Systems, ACIVS 2008, pp. 730-741 (2008)

Fabián, T.: An algorithm for parking lot occupation detection. In Proceedings of the International Conference on Computer Information Systems and Industrial Management Applications CISIM 2008, pp. 165-170 (2008)

Krumnikl, M., Sojka, E.,Gaura, J., Motyka, O.: A new method for bryophyte canopy analysis based on 3d surface reconstruction. In Proceedings of the 7th Computer Information Systems and Industrial Management Applications, CISIM 2008, pp. 210-211 (2008)