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Eduard Sojka
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2020 – today
- 2023
- [c50]Radovan Fusek, Jakub Halman, Eduard Sojka, Jan Gaura:
Detection of Dangerous Driver Health Problems Using HOG-Autoencoder. INCoS 2023: 454-464 - [c49]Radovan Fusek
, Eduard Sojka, Jan Gaura, Jakub Halman:
Driver Anomaly Detection Using Skeleton Images. ISVC (1) 2023: 459-471 - 2022
- [c48]Radovan Fusek
Driver State Detection from In-Car Camera Images. ISVC (2) 2022: 307-319
2010 – 2019
- 2019
- [c47]Radovan Fusek
Iris Center Localization Using Geodesic Distance and CNN. IbPRIA (2) 2019: 76-85 - [c46]Radovan Fusek
Pupil Center Localization Using SOMA and CNN. ISVC (1) 2019: 444-453 - 2018
- [c45]Michael Holusa, Eduard Sojka:
On the Stability of the K-Max Distance to the Position of Seeds. ICIP 2018: 261-265 - 2017
- [j5]Michael Holusa, Eduard Sojka:
The k-max distance in graphs and images. Pattern Recognit. Lett. 98: 103-109 (2017) - [c44]Michael Holusa, Andrey Sukhanov
Image Segmentation Based on Solving the Flow in the Mesh with the Connections of Limited Capacities. ICIAR 2017: 163-170 - 2016
- [j4]Jan Gaura
Resistance-Geodesic Distance and Its Use in Image Segmentation. Int. J. Artif. Intell. Tools 25(5): 1640002:1-1640002:16 (2016) - [j3]Radovan Fusek
Energy transfer features combined with DCT for object detection. Signal Image Video Process. 10(3): 479-486 (2016) - [c43]Milan Surkala, Radovan Fusek
Hierarchical Fast Mean-Shift Segmentation in Depth Images. ACIVS 2016: 441-452 - 2015
- [c42]Radovan Fusek
Distance-Based Descriptors for Pedestrian Detection. ACIVS 2015: 357-368 - [c41]Michael Holusa, Eduard Sojka:
A k-max Geodesic Distance and Its Application in Image Segmentation. CAIP (1) 2015: 618-629 - [c40]Jan Gaura, Eduard Sojka:
Diffusion-Based Similarity for Image Analysis. ICPRAM (Selected Papers) 2015: 107-123 - [c39]Jan Gaura, Eduard Sojka:
Normalised Diffusion Cosine Similarity and Its Use for Image Segmentation. ICPRAM (1) 2015: 121-129 - 2014
- [c38]Radovan Fusek
Distance-Based Descriptors and Their Application in the Task of Object Detection. GCPR 2014: 488-498 - [c37]Radovan Fusek
An Improvement of Energy-Transfer Features Using DCT for Face Detection. ICISP 2014: 511-519 - [c36]Michal Krumnikl
Fuzzy C-Means Stereo Segmentation. ICPRAM (Selected Papers) 2014: 35-49 - [c35]Michal Krumnikl, Eduard Sojka, Jan Gaura:
Modified Fuzzy C-Means as a Stereo Segmentation Method. ICPRAM 2014: 40-47 - [c34]Radovan Fusek
Hierarchical Energy-transfer Features. ICPRAM 2014: 695-702 - [c33]Karel Mozdren, Eduard Sojka, Milan Surkala, Radovan Fusek
Affiliation possibility map filtering for image segmentation improvement. IPTA 2014: 71-76 - [c32]Radovan Fusek
Gradient-DCT (G-DCT) descriptors. IPTA 2014: 134-139 - [c31]Karel Mozdren, Eduard Sojka, Radovan Fusek
Layered RC circuit with dynamic resistances for background subtraction. IPTA 2014: 384-389 - [c30]Jan Gaura, Eduard Sojka:
Resistance-Geodesic Distance and Its Use in Image Processing and Segmentation. ISVC (1) 2014: 238-249 - [c29]Radovan Fusek, Eduard Sojka, Karel Mozdren, Milan Surkala:
Energy based Descriptors and their Application for Car Detection. VISAPP (1) 2014: 492-499 - 2013
- [c28]Eduard Sojka, Jan Gaura:
A Modification of Diffusion Distance for Clustering and Image Segmentation. ACIVS 2013: 480-491 - [c27]Milan Surkala, Karel Mozdren, Radovan Fusek
Hierarchical Layered Mean Shift Methods. ACIVS 2013: 538-545 - [c26]Radovan Fusek
Energy-transfer features and their application in the task of face detection. AVSS 2013: 147-152 - [c25]Radovan Fusek
AdaBoost for Parking Lot Occupation Detection. CORES 2013: 681-690 - [c24]Karel Mozdren, Eduard Sojka, Radovan Fusek
Layered RC Circuit Model for Background Subtraction. ISVC (2) 2013: 199-209 - [c23]Michael Holusa, Eduard Sojka:
Image Segmentation Using Iterated Graph Cuts with Residual Graph. ISVC (1) 2013: 228-237 - [c22]Radovan Fusek
Energy-Transfer Features for Pedestrian Detection. ISVC (2) 2013: 425-434 - [c21]Milan Surkala, Karel Mozdren, Radovan Fusek
Layered Mean Shift Methods. SSVM 2013: 465-476 - [c20]Eduard Sojka, Milan Surkala, Jan Gaura:
Mean Shift with Flatness Constraints. SCIA 2013: 107-118 - 2012
- [c19]Michal Krumnikl
A New Level-Set Based Algorithm for Bimodal Depth Segmentation. ACIVS 2012: 225-236 - [c18]Milan Surkala, Karel Mozdren, Radovan Fusek
Hierarchical evolving mean-shift. ICIP 2012: 1593-1596 - [c17]Michael Holusa, Eduard Sojka:
Object Detection from Multiple Images Based on the Graph Cuts. ISVC (1) 2012: 262-271 - 2011
- [c16]Jan Gaura, Eduard Sojka, Michal Krumnikl
Image Segmentation Based on Electrical Proximity in a Resistor-Capacitor Network. ACIVS 2011: 216-227 - [c15]Milan Surkala, Karel Mozdren, Radovan Fusek
Hierarchical Blurring Mean-Shift. ACIVS 2011: 228-238 - [c14]Jan Gaura, Eduard Sojka, Michal Krumnikl
Image Segmentation Based on k-Means Clustering and Energy-Transfer Proximity. ISVC (2) 2011: 567-577 - 2010
- [c13]Eduard Sojka, Jan Gaura, Tomás Fabián, Michal Krumnikl
Fast Mean Shift Algorithm Based on Discretisation and Interpolation. ACIVS (1) 2010: 402-413 - [c12]Eduard Sojka, Jan Gaura, Stepán Srubar, Tomás Fabián, Michal Krumnikl
Blurring Mean-Shift with a Restricted Data-Set Modification for Applications in Image Processing. ISVC (3) 2010: 310-319
2000 – 2009
- 2009
- [c11]Michal Krumnikl, Eduard Sojka, Jan Gaura, Oldrich Motyka:
3D Reconstruction for Textureless Surfaces - Surface Reconstruction for Biological Research of Bryophyte Canopies. BIOSIGNALS 2009: 95-100 - [c10]Michal Krumnikl
Three-Dimensional Reconstruction of Macroscopic Features in Biological Materials. BIOSTEC (Selected Papers) 2009: 225-234 - [c9]Eduard Sojka, Jan Gaura, Tomás Fabián, Michal Krumnikl
Active Contours without Edges and without Reinitialisation. NaBIC 2009: 914-917 - 2008
- [c8]Eduard Sojka, Jan Gaura, Michal Krumnikl:
Active Contours without Edges and with Simple Shape Priors. ACIVS 2008: 730-741 - [c7]Josef Schreiber, Eduard Sojka, Lacezar Licev, Petra Sknourilová, David Skoloudík, Jan Gaura:
A New Method for Detection of Brain Stem in Transcranial Ultrasound Images. BIOSIGNALS (2) 2008: 478-483 - [c6]Michal Krumnikl
A New Method for Bryophyte Canopy Analysis Based on 3D Surface Reconstruction. CISIM 2008: 210-211 - 2006
- [c5]Eduard Sojka:
A Motion Estimation Method Based on Possibility Theory. ICIP 2006: 1241-1244 - [c4]Eduard Sojka, Jakub Rícný:
An efficient algorithm for computing optical flow. SCCG 2006: 147-152 - 2003
- [c3]Eduard Sojka:
A new approach to detecting the corners in digital images. ICIP (3) 2003: 445-448 - 2002
- [c2]Eduard Sojka:
A New and Efficient Algorithm for Detecting the Corners in Digital Images. DAGM-Symposium 2002: 125-132 - [c1]Eduard Sojka:
A new algorithm for detecting corners in digital images. SCCG 2002: 55-62
1990 – 1999
- 1999
- [j2]Eduard Sojka:
A New Algorithm for Jordan Sorting: Its Average-Case Analysis. Discret. Appl. Math. 93(1): 127-140 (1999) - 1997
- [j1]Eduard Sojka:
Two simple and efficient algorithms for Jordan sorting and polygon cutting and clipping. Comput. Networks ISDN Syst. 29(14): 1661-1673 (1997)
Coauthor Index
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