Publications
Books and chapters (9)
|
1. Michal Haindl: Bidirectional texture function modeling. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision, 1023-1064. Springer International Publishing, Cham 2023. Download |
|
|
2. Jiří Grim, Petr Somol: A Statistical Review of the MNIST Benchmark Data Problem. Advances in Pattern Recognition Research, 172-193. Nova Science Publishers, Inc., New York 2018. Download |
|
|
3. H. Beran, R. Bízková, M. Bunček, P. Burget, J. Burian, A. Čirličová, P. Csank, V. Czesaná, B. Čížek, V. Datel, M. Doupovec, D. Drábová, J. Filová, J. Furman, Michal Haindl, J. Hajič, M. Hanzlík, M. Hartl, Z. Havelka, O. Havle, J. Hlaváčková, J. Holoubek, T. Hrubínek, F. Hýbner, D. Kaminský, P. Knap, P. Komárek, R. Komzák, M. Kopicová, J. Krechl, J. Kubalík, V. Kysela, Josef Lazar, V. Mařík, Z. Matoušková, V. Matyáš, S. McKenna, S. Mišák, J. Novák, E. Odvářka, E. Palíšek, M. Pazour, J. Prokš, J. Proksch, J. Psutka, V. Radová, M. Rathouský, J. Růžička, D. Sedláček, T. Sirovátka, O. Sládek, P. Smrž, P. Sochor, Petr Somol, O. Sotona, J. Straková, Z. Strnad, M. Svítek, T. Šamanová, J. Šedivý, B. Šimák, R. Šiser, D. Tatýrek, P. Václavek, M. Václavík, M. Valášek, P. Vavřín, P. Volhejn, P. Vrba, J. Žára, J. Žídek: Průmysl 4.0 Výzva pro Českou republiku. Management Press, Praha 2016. Download |
|
|
4. Michal Haindl, Václav Remeš: Digital Mammogram Enhancement. Mammography Techniques and Review, 63-78. InTech Education and Publishing, Zagreb 2015. Download |
|
|
5. Petr Somol, Jana Novovičová, Pavel Pudil: Moderní metody výběru příznaků ve statistickém rozpoznávání. Umělá inteligence 6, 424-468. Academia, Praha 2013. Download |
|
 |
6. Michal Haindl, Jiří Filip: Visual Texture : Accurate Material Appearance Measurement, Representation and Modeling. Springer-Verlag London, London 2013. Download |
 |
7. Michal Haindl: Visual Data Recognition and Modeling Based on Local Markovian Models. Mathematical Methods for Signal and Image Analysis and Representation, 241-259. Springer London, London 2012. Download |
 |
8. Pavel Vácha, Michal Haindl: Illumination Invariants Based on Markov Random Fields. Pattern Recognition, Recent Advances, 253-272. In-Teh, Vukovar, Croatia 2010. Download |
|
9. Petr Somol, Jana Novovičová, Pavel Pudil: Efficient Feature Subset Selection and Subset Size Optimization. Pattern Recognition, Recent Advances, 75-98. In-Teh, Vukovar, Croatia 2010. Download |
Journal articles (53)
|
1. Pavel Vácha, Michal Haindl: Texture recognition under scale and illumination variations. Journal of Information and Telecommunication 8:1 (2024), 130-148. Download |
|
|
2. Jiří Filip, Jiří Lukavský, Filip Děchtěrenko, F. Schmidt, R. W. Fleming: Perceptual dimensions of wood materials. Journal of Vision 24. Association for Research in Vision and Ophthalmology. Download |
|
 |
3. Michal Havlíček, Michal Haindl: Color Quality Comparison in Spectrally (Un)Correlated Random Field Models. Computer Science Research Notes 3401:1 (2024), 197-206. Download |
 |
4. Jiří Filip, Radomír Vávra, F. J. Maile: Waviness analysis of glossy surfaces based on deformation of a light source reflection. Journal of Coatings Technology and Research 20:5 (2023), 1703-1712. Springer. Download |
|
5. Dalibor Miklík, Jiří Grim, Daniel Elleder, Jiří Hejnar: Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models. Genome Research 33:8 (2023), 1395-1408. Cold Spring Harbor Laboratory Press. Download |
|
 |
6. Jiří Filip, Veronika Vilímovská: Characterization of Wood Materials Using Perception-Related Image Statistics. Journal of Imaging Science and Technology 67. Download |
|
7. Pavel Žid, Michal Haindl, Vojtěch Havlíček: Governmental Anti-Covid Measures Effectiveness Detection. Procedia Computer Science 225:1 (2023), 2922-2931. Download |
|
|
8. Stanislav Mikeš, Michal Haindl: Texture Segmentation Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence 44:9 (2022), 5647-5663. IEEE Computer Society. Download |
|
|
9. Petr Dostál: Almost log-optimal trading strategies for small transaction costs in model with stochastic coefficients. Kybernetika 58:6 (2022), 903-959. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
|
|
10. M. Flusser, Petr Somol: Efficient anomaly detection through surrogate neural networks. Neural Computing & Applications 34:23 (2022), 20491-20505. Springer. Download |
|
 |
11. Jiří Filip, Radomír Vávra, Martina Kolafová, F. J. Maile: Assessment of sparkle and graininess in effect coatings using a high-resolution gonioreflectometer and psychophysical studies. Journal of Coatings Technology and Research 18:6 (2021), 1511-1530. Springer. Download |
 |
12. Jiří Filip, Radomír Vávra, F. J. Maile, Martina Kolafová: Framework for Capturing and Editing of Anisotropic Effect Coatings. Computer Graphics Forum 40:1 (2021), 68-80. Wiley. Download |
|
13. Petr Dostál, Tibor Mach: Progressive projection and log-optimal investment in the frictionless market. Theory of Stochastic Processes 25:1 (2020), 37-77. Natsional'na Akademiya Nauk Ukrainy. Download |
|
 |
14. Michal Havlíček, Michal Haindl: Texture Spectral Similarity Criteria. IET Image Processing 13:11 (2019), 1998-2007. Wiley. Download |
|
15. Václav Remeš, Michal Haindl: Bark recognition using novel rotationally invariant multispectral textural features. Pattern Recognition Letters 125:1 (2019), 612-617. Elsevier. Download |
|
|
16. Michal Haindl, Václav Remeš: Pseudocolor enhancement of mammogram texture abnormalities. Machine Vision and Applications 30:4 (2019), 785-794. Springer. Download |
|
 |
17. Jiří Filip, Radomír Vávra: Image-based appearance acquisition of effect coatings. Computational Visual Media 5:1 (2019), 73-89. Springer. Download |
 |
18. Jiří Filip, Martina Kolafová: Perceptual Attributes Analysis of Real-World Materials. ACM Transactions on Applied Perception 16. Association for Computing Machinery. Download |
 |
19. Jiří Filip, Radomír Vávra, F. J. Maile: Optical analysis of coatings including diffractive pigments using a high-resolution gonioreflectometer. Journal of Coatings Technology and Research 16:2 (2019), 555-572. Springer. Download |
|
20. Václav Remeš, Michal Haindl: Region of Interest Contrast Measures. Kybernetika 54:5 (2018), 978-990. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
|
 |
21. Jiří Filip, Martina Kolafová, Michal Havlíček, Radomír Vávra, Michal Haindl, H. Rushmeier: Evaluating Physical and Rendered Material Appearance. Visual Computer 34, 805-816. Springer. Download |
 |
22. Radomír Vávra, Jiří Filip: Adaptive slices for acquisition of anisotropic BRDF. Computational Visual Media 4:1 (2018), 55-69. Springer. Download |
|
23. Jiří Grim: Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial. International Journal of Pattern Recognition and Artificial Intelligence 31. Download |
|
 |
24. Jiří Filip, Radomír Vávra, Michal Havlíček, Mikuláš Krupička: Predicting Visual Perception of Material Structure in Virtual Environments. Computer Graphics Forum 36:1 (2017), 89-100. Wiley. Download |
 |
25. Jiří Filip, Michal Havlíček, Radomír Vávra: Adaptive highlights stencils for modeling of multi-axial BRDF anisotropy. Visual Computer 33:1 (2017), 5-15. Springer. Download |
 |
26. Radomír Vávra, Jiří Filip: Minimal Sampling for Effective Acquisition of Anisotropic BRDFs. Computer Graphics Forum 35:7 (2016), 299-309. Wiley. Download |
 |
27. V. Havran, Jiří Filip, K. Myszkowski: Perceptually Motivated BRDF Comparison using Single Image. Computer Graphics Forum 35:4 (2016), 1-12. Wiley. Download |
|
28. Michal Haindl, Stanislav Mikeš: A competition in unsupervised color image segmentation. Pattern Recognition 57:9 (2016), 136-151. Elsevier. Download |
|
 |
29. F. J. Maile, Jiří Filip: New applications for polychromatic effect pigments. Asia Pacific Coatings Journal 29:2 (2016), 35-38. Download |
 |
30. Michal Haindl, Matěj Sedláček, Radomír Vávra: Virtual Reconstruction of Cultural Heritage Artifacts. ERCIM News 103 (2015), 12-13. European Research Consortium for Informatics and Mathematics. Download |
|
31. 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 |
|
|
32. Michal Haindl, Mikuláš Krupička: Unsupervised detection of non-iris occlusions. Pattern Recognition Letters 57:5 (2015), 60-65. Elsevier. Download |
|
 |
33. Michal Haindl, Stanislav Mikeš: Unsupervised Image Segmentation. IAPR Newsletter 36:4 (2014), 23-23. Download |
 |
34. Jiří Filip, Radomír Vávra, Mikuláš Krupička: Rapid Material Appearance Acquisition Using Consumer Hardware. Sensors 14:10 (2014), 19785-19805. MDPI. Download |
 |
35. Jiří Filip, Radomír Vávra: Template-Based Sampling of Anisotropic BRDFs. Computer Graphics Forum 33:7 (2014), 91-99. Wiley. Download |
|
36. Jiří Grim: Sequential pattern recognition by maximum conditional informativity. Pattern Recognition Letters 45:1 (2014), 39-45. Elsevier. Download |
|
|
37. Michal Haindl, J. Kittler: Introduction to the Special Theme Image Understanding. ERCIM News 95:95 (2013), 9-9. European Research Consortium for Informatics and Mathematics. Download |
|
 |
38. Jiří Filip, Radomír Vávra: Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets. Computers & Graphics-Uk 37:5 (2013), 376-388. Elsevier. Download |
|
39. Pavel Vácha, Michal Haindl: Wood Variety Recognition on Mobile Devices. ERCIM News 93 (2013), 52-52. European Research Consortium for Informatics and Mathematics. Download |
|
|
40. Martin Hatka, Michal Haindl: Advanced Material Rendering in Blender. The International Journal of Virtual Reality 11:2 (2012), 15-23. Download |
|
 |
41. Michal Haindl, Jiří Filip, Radomír Vávra: Digital Material Appearance: the Curse of Tera-Bytes. ERCIM News 90 (2012), 49-50. European Research Consortium for Informatics and Mathematics. Download |
|
42. Petr Somol, Jiří Grim, Jana Novovičová, P. Pudil: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. Kybernetika 47:3 (2011), 401-425. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
|
|
43. Stanislav Mikeš, Michal Haindl, Radek Holub: National Gallery in Prague. ERCIM News 86 (2011), 23-24. European Research Consortium for Informatics and Mathematics. Download |
|
|
44. Michal Haindl, Vojtěch Havlíček, Jiří Grim: Probabilistic mixture-based image modelling. Kybernetika 47:3 (2011), 482-500. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
|
|
45. Pavel Vácha, Michal Haindl: Content-Based tile Retrieval System. ERCIM News 85 (2011), 45-45. European Research Consortium for Informatics and Mathematics. Download |
|
|
46. Pavel Vácha, Michal Haindl, Tomáš Suk: Colour and rotation invariant textural features based on Markov random fields. Pattern Recognition Letters 32:6 (2011), 771-779. Elsevier. Download |
|
|
47. Petr Somol: Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems. ERCIM News 84 (2011), 54-54. European Research Consortium for Informatics and Mathematics. Download |
|
|
48. D. Chetverikov, S. Fazekas, Michal Haindl: Dynamic texture as foreground and background. Machine Vision and Applications 22:5 (2011), 741-750. Springer. Download |
|
|
49. Jiří Grim, Jan Hora, Pavel Boček, Petr Somol, Pavel Pudil: Statistical Model of the 2001 Czech Census for Interactive Presentation. Journal of Official Statistics 4 (2010), 1-23. Download |
|
|
50. Petr Somol, Jana Novovičová: Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality. IEEE Transactions on Pattern Analysis and Machine Intelligence 32:11 (2010), 1921-1939. IEEE Computer Society. Download |
|
|
51. Michal Haindl: Scientometry Leading us Astray. ERCIM News 82 (2010), 8-8. European Research Consortium for Informatics and Mathematics. Download |
|
 |
52. Michal Haindl, Jiří Filip, Martin Hatka: Realistic Material Appearance Modelling. ERCIM News 81 (2010), 13-14. European Research Consortium for Informatics and Mathematics. Download |
 |
53. V. Havran, Jiří Filip, K. Myszkowski: Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization. Computer Graphics Forum 29:1 (2010), 175-190. Wiley. Download |
Conference papers (121)
|
1. Michal Haindl: Survival Modeling of Disease Consequences and Post-disease Syndromes. Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), 365-374. Springer Nature Singapore, Singapore 2024. Download |
|
|
2. Jiří Filip, Martin Vítek: Psychophysical Insights into Anisotropic Highlights of 3D Printed Objects. MAM2024 - Eurographics Workshop on Material Appearance Modeling Joint event with MANER Conference London 2024 - Material Appearance Network for Education and Research. Eurographics - The European Association for Computer Graphics, Hardeberg 2024. Download |
|
|
3. Jiří Filip, F. J. Maile, Radomír Vávra: Angle-Dependent Analysis and Modeling of Absorption and Structural Colors in Feathers. CVCS2024: the 12th Colour and Visual Computing Symposium. , Gjøvik, Norway 2024. Download |
|
|
4. 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 |
|
 |
5. Michal Havlíček, Michal Haindl: Texture Spectral Similarity Criteria Comparison. WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, 100-106. University of West Bohemia, Plzeň 2023. Download |
|
6. Michal Haindl, N. Shaih: Texture Quality Criteria Comparison. Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023). IEEE, Piscataway 2023. Download |
|
|
7. P. Kříž, Michal Haindl: Multispectral Texture Benchmark. Procedia Computer Science : Volume 225, 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023, 3143-3152. Elsevier, Amsterdam 2023. Download |
|
|
8. Michal Haindl, Pavel Žid: Melanoma Recognition. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 722-729. Scitepress - Science and Technology Publications, Lda, Setúbal 2022. Download |
|
|
9. Pavel Vácha, Michal Haindl: Textural Features Sensitivity to Scale and Illumination Variations. Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022, 237-249. Springer International Publishing, Cham 2022. Download |
|
 |
10. Jiří Filip, Martina Kolafová, Radomír Vávra: Perceived Effects of Reflective Translucency in 3D Printing Filaments. 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 289-295. IEEE, Piscataway 2022. Download |
|
11. Michal Haindl, Vojtěch Havlíček: BRDF Anisotropy Criterion. Intelligent Information and Database Systems, 434-444. Springer Nature, Cham 2022. Download |
|
|
12. A. Moudrá, Michal Haindl: Underground Archeological Structures Detection. Advances in Computational Collective Intelligence, 690-702. Springer International Publishing, Cham 2021. Download |
|
 |
13. Michal Havlíček, Michal Haindl: Optimized Texture Spectral Similarity Criteria. Advances in Computational Collective Intelligence, 644-655. Springer International Publishing, Cham 2021. Download |
|
14. Michal Haindl, Vojtěch Havlíček: Transfer Learning of Mixture Texture Models. Computational Collective Intelligence, 825-837. Springer Nature Switzerland AG, Cham 2020. Download |
|
|
15. Michal Haindl, Vojtěch Havlíček: 3D Multi-frequency Fully Correlated Causal Random Field Texture Model. Pattern Recognition, 423-434. Springer International Publishing, Cham 2020. Download |
|
|
16. Michal Haindl, Pavel Žid: Coniferous Trees Needles-Based Taxonomy Classification. International Conference on Image and Vision Computing New Zealand 2019 (IVCNZ 2019), 1-6. IEEE, Piscataway 2019. Download |
|
 |
17. Jiří Filip, Martina Kolafová, Radomír Vávra: Perceived Effects of Static and Dynamic Sparkle in Captured Effect Coatings. The 15th International Conference on Signal Image Technology & Internet Based Systems, SITIS 2019, 732-737. IEEE, Piscataway 2019. Download |
|
18. 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 |
|
 |
19. Michal Haindl, Michal Havlíček: Mutual Information-Based Texture Spectral Similarity Criterion. Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), 302-314. Springer, Cham 2019. Download |
 |
20. Jiří Filip, Martina Kolafová, Radomír Vávra: A Psychophysical Analysis of Fabricated Anisotropic Appearance. Pacific Graphics Short Papers, 15-20. The Eurographics Association, Geneve 2019. Download |
 |
21. Jiří Filip, Martina Kolafová: On Visual Attractiveness of Anisotropic Effect Coatings. Proceedings of the 7th Workshop on Material Appearance Modeling. The Eurographics Association, Geneve 2019. Download |
|
22. T. Komárek, Petr Somol: Multiple Instance Learning with Bag-Level Randomized Trees. Machine Learning and Knowledge Discovery in Databases, 259-272. Springer International Publishing, Cham 2019. Download |
|
 |
23. Jiří Filip, Radomír Vávra, F. J. Maile, B. Eibon: Image-based discrimination and spatial non-uniformity analysis of effect coatings. Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019), 683-690. SCITEPRESS – Science and Technology Publications, Lda., Setúbal 2019. Download |
|
24. M. Flusser, T. Pevný, Petr Somol: Density-Approximating Neural Network Models for Anomaly Detection. ACM SIGKDD 2018 Workshop, 1-8. ACM, New York 2018. Download |
|
|
|
25. Miloš Kudělka, Michal Haindl: Multispectral Texture Fidelity Measure. SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 658-663. IEEE Computer Society CPS, Los Alamitos 2018. Download |
|
26. Michal Haindl, Vojtěch Havlíček: BTF Compound Texture Model with Fast Iterative Non-Parametric Control Field Synthesis. SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 98-105. IEEE Computer Society CPS, Los Alamitos 2018. Download |
|
 |
27. Jiří Filip, F. J. Maile: In the search of an ideal measurement geometry for effect coatings. Proceedings of Pigment and Colour Science Forum 2018. SMITHER Rapra, Shrewsbury 2018. Download |
 |
28. Jiří Filip, Martina Kolafová: Effects of Surface Anisotropy on Perception of Car Body Attractiveness. Pacific Graphics Short Papers, 17-20. The Eurographics Association, Geneve 2018. Download |
 |
29. Jiří Filip, Martina Kolafová: Perception of Car Shape Orientation and Anisotropy Alignment. EG MAM 2018: Eurographics 2018 Workshop on Material Appearance Modeling. The Eurographics Association, Goslar 2018. Download |
|
30. Radek Richtr, Michal Haindl: Dynamic Texture Similarity Criterion. The 24th International Conference on Pattern Recognition (ICPR 2018), 904-909. IEEE, New York 2018. Download |
|
|
31. Michal Haindl, Vojtěch Havlíček: BTF Compound Texture Model with Non-Parametric Control Field. The 24th International Conference on Pattern Recognition (ICPR 2018), 1151-1156. IEEE, New York 2018. Download |
|
|
32. Václav Remeš, Michal Haindl: Rotationally Invariant Bark Recognition. Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, 22-31. Springer Nature Switzerland AG, Cham 2018. Download |
|
|
33. T. Komárek, Petr Somol: End-node Fingerprinting for Malware Detection on HTTPS Data. Proceedings of the 12th International Conference on Availability, Reliability and Security (ARES'17), 1-7. ACM, New York 2017. Download |
|
 |
34. Jiří Filip, Radomír Vávra, F. J. Maile: BRDF Measurement of Highly-Specular Materials using a Goniometer. Proceedings of the 33rd Spring Conference on Computer Graphics. ACM, New York 2017. Download |
 |
35. Radomír Vávra, Jiří Filip: Adaptive Measurement of Anisotropic Material Appearance. Pacific Graphics Short Papers, 1-6. The Eurographics Association, Goslar 2017. Download |
 |
36. Jiří Filip, F. J. Maile: Appearance Acquisition and Analysis of Effect Coatings. Proceedings of Pigment and Colour Science Forum 2017. SMITHERS Rapra, Shrewsbury 2017. Download |
|
37. Matěj Sedláček, Michal Haindl, D. Formanová: An Automatic Tortoise Specimen Recognition. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 52-59. Springer International Publishing, Cham 2017. Download |
|
|
38. Michal Haindl, Pavel Vácha: Scale Sensitivity of Textural Features. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 84-92. Springer International Publishing, Cham 2017. Download |
|
|
39. Michal Haindl, Vojtěch Havlíček: Two Compound Random Field Texture Models. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 44-51. Springer International Publishing, Cham 2017. Download |
|
 |
40. Michal Haindl, Michal Havlíček: A Compound Moving Average Bidirectional Texture Function Model. Multimedia and Network Information Systems, 89-98. Springer Internatiion Publishing, Switzerland 2017. Download |
|
41. T. Pevný, Petr Somol: Discriminative models for multi-instance problems with tree-structure. Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16), 83-91. ACM, New York 2016. Download |
|
|
42. Michal Haindl, Matěj Sedláček: Virtual reconstruction of cultural heritage artifacts. 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 1-5. IEEE, USA 2016. Download |
|
|
43. M. Kudo, K. Kimura, Michal Haindl, H. Tenmoto: Simultaneous Visualization of Samples, Features and Multi-Labels. Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), 3592-3597. IEEE, Piscataway 2016. Download |
|
|
44. Michal Haindl, Vojtěch Havlíček: Three-dimensional Gaussian Mixture Texture Model. Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), 2026-2031. IEEE, Piscataway 2016. Download |
|
|
45. Jiří Grim: Feasibility Study of an Interactive Medical Diagnostic Wikipedia. SPMS 2016 Stochastic and Physical Monitoring Systems, 31-45. Czech Technical University, Prague 2016. Download |
|
|
|
46. Miloš Kudělka, Michal Haindl: Texture fidelity criterion. Proceedings of the 2016 IEEE International Conference on Image Processing. IEEE, Piscataway 2016. Download |
|
47. Petr Somol, T. Pevný: Discriminative Models for Multi-instance Problems with Tree Structure. Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security 2016. ACM, New York 2016. Download |
|
 |
48. Jiří Filip, V. Havran, K. Myszkowski: Gaze Analysis of BRDF Distortions. Workshop on Material Appearance Modeling. The Eurographics Association, Geneve 2016. Download |
 |
49. Jiří Filip, Radomír Vávra: Using Reflectors for Analysis and Acquisition of Anisotropic BRDF. Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, 155-162. Commission Internationale de L'Eclairage CIE Central Bureau, Vienna 2016. Download |
 |
50. Jiří Filip, Radomír Vávra, Michal Haindl: Capturing Material Visualization Data using Goniometers. Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, 121-127. Commission Internationale de L'Eclairage CIE Central Bureau, Vienna 2016. Download |
|
|
51. Michal Havlíček, Michal Haindl: Texture spectral similarity criteria. Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, 147-154. Commission Internationale de L'Eclairage CIE Central Bureau, Vienna 2016. Download |
 |
52. Radomír Vávra, Jiří Filip: BRDF Interpolation using Anisotropic Stencils. IS&T International Symposium on Electronic Imaging 2016. Society for Imaging Science and Technology, Springfield 2016. Download |
|
53. Jiří Grim, P. Pudil: Mixtures of Product Components versus Mixtures of Dependence Trees. Computational Intelligence, 365-382. Springer, Cham 2016. Download |
|
 |
54. Jiří Filip: Analyzing and Predicting Anisotropic Effects of BRDFs. Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, 25-32. ACM, New York 2016. Download |
|
55. V. Létal, T. Pevný, Václav Šmídl, Petr Somol: Finding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data. NIPS Workshop: Advances in Approximate Bayesian Inference, 1-10. NIPS, Montréal, Canada 2015. Download |
|
 |
56. Michal Havlíček: Extended Bidirectional Texture Function Moving Average Model. Doktorandské dny 2015, 1-7. České vysoké učení technické v Praze, Praha 2015. Download |
|
57. Václav Remeš, Michal Haindl: Classification of breast density in X-ray mammography. 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 1-5. IEEE, New York, NY, 2015. Download |
|
|
58. Radek Richtr, Michal Haindl: Dynamic Texture Editing. Proceedings of the 31st Spring Conference on Computer Graphics, 133-140. ACM, New York, NY, USA 2015. Download |
|
|
59. Zdeněk Wagner, Pavel Kovanic: Advanced Data Analysis for Industrial Applications. Abstracts Book, 5. -, - 2015. |
|
 |
60. Jiří Filip, Petr Somol: Materials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements. Computer Analysis of Images and Patterns - CAIP 2015, 289-299. Springer International Publishing, Switzerland 2015. Download |
|
61. 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 |
|
|
62. Michal Haindl, Pavel Vácha: Wood Veneer Species Recognition using Markovian Textural Features. Computer Analysis of Images and Patterns - CAIP 2015, 300-311. Springer International Publishing, Switzerland 2015. Download |
|
 |
63. Jiří Filip, Michal Havlíček: Adaptive Highlights Stencils for Modeling of Multi-Axial BRDF Anisotropy. Proceedings of Computer Graphics International 2015. ICube Université de Strasbourg, CNRS, France, Strasbourgh, Francie 2015. Download |
|
64. Michal Haindl, Vojtěch Havlíček: Color Texture Restoration. IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), 13-18. IEEE, 445 Hoes Lane, Piscataway, NJ 08854, USA 2015. Download |
|
|
65. Michal Haindl, Václav Remeš, Vojtěch Havlíček: BTF Potts compound texture model. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE-IS&T, Bellingham 2015. Download |
|
 |
66. Jiří Filip, Radomír Vávra: Anisotropic Materials Appearance Analysis using Ellipsoidal Mirror. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE-IS&T, Bellingham 2015. Download |
|
|
67. Michal Haindl, Miloš Kudělka: Texture Fidelity Benchmark. 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
 |
68. Michal Havlíček, Michal Haindl, Jiří Filip: Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction. 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
 |
69. Michal Havlíček: Dynamic Texture Modelling and Editing Using Temporal Mixing Coefficients Reduction. Doktorandské dny, 7-16. FJFI ČVUT, Praha 2014. Download |
|
70. Michal Haindl, Václav Remeš: Adaptive Model-Based Mammogram Enhancement. Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, 65-72. IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
|
|
71. Michal Haindl, Mikuláš Krupička: Accurate Detection of Non-Iris Occlusions. Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, 49-56. IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
|
|
72. Jiří Grim: Approximating Probability Densities by Mixtures of Gaussian Dependence Trees. Stochastic and Physical Monitoring Systems, SPMS 2014. ČVUT, Praha 2014. Download |
|
|
73. Jiří Grim, P. Pudil: Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. NCTA2014 - International Conference on Neural Computation Theory and Applications, 65-75. SCITEPRESS, Rome 2014. Download |
|
|
|
74. 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 |
 |
75. Jiří Filip, Radomír Vávra, Michal Havlíček: Effective Acquisition of Dense Anisotropic BRDF. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), 2047-2052. IEEE Computer Society, Stockholm 2014. Download |
 |
76. Jiří Filip, Jiří Grim, Michal Haindl: A Probabilistic Approach to Rough Texture Compression and Rendering. MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, 8-12. Bilkent University, Antalya, Turkey 2013. Download |
 |
77. Petr Somol, Jiří Grim, Jiří Filip, P. Pudil: On Stopping Rules in Dependency-Aware Feature Ranking. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 286-293. Springer, Heidelberg 2013. Download |
 |
78. Michal Havlíček: Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation. Doktorandské dny 2013, 41-48. ČVUT, Praha 2013. Download |
 |
79. Michal Haindl, Radek Richtr: Dynamic Texture Enlargement. Proceedings of the 29th Spring conference on Computer Graphics (SCCG), 13-20. ACM, Comenius University, Bratislava 2013. Download |
|
80. Michal Haindl, Václav Remeš: Efficient Textural Model-Based Mammogram Enhancement. 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), 522-523. IEEE, Piscataway 2013. Download |
|
|
81. Michal Haindl, Mikuláš Krupička: Non-Iris Occlusions Detection. Biometrics: Theory, Applications and Systems (BTAS), 2013, 1-6. IEEE, Piscataway 2013. Download |
|
 |
82. Michal Havlíček, Michal Haindl: A Moving Average Bidirectional Texture Function Model. Computer Analysis of Images and Patterns, 338-345. Springer, Heidelberg 2013. Download |
|
83. Michal Haindl, Stanislav Mikeš: Unsupervised Dynamic Textures Segmentation. Computer Analysis of Images and Patterns, 433-440. Springer, Heidelberg 2013. Download |
|
 |
84. Jiří Filip, Radomír Vávra, Michal Haindl, Pavel Žid, Mikuláš Krupička, V. Havran: BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition. Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1468-1473. IEEE Computer Society Conference Publishing Services, New York 2013. Download |
 |
85. Radomír Vávra, Jiří Filip: Registration of Multi-view Images of Planar Surfaces. 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers, 497-509. Springer Berlin Heidelberg, Berlin 2013. Download |
|
86. P. Pudil, L. Blažek, O. Částek, P. Somol, Jiří Grim: Identification of Corporate Competitiveness Factors – Comparing Different Approaches. Proceedings of the International Conference on Management, Leadership and Governance 2013, 259-267. Academic Conferences and Publishing International Limited, Reading 2013. Download |
|
 |
87. Michal Havlíček: Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model. Doktorandské dny 2012, 53-62. ČVUT v Praze, Praha 2012. Download |
|
88. S. Zehnalova, Miloš Kudělka, M. Kudělka, V. Snášel: Comparing Two Local Methods for Community Detection in Social Networks. Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), 1-6. IEEE, Piscataway 2012. Download |
|
|
89. 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 |
|
|
90. Miloš Kudělka: Image Quality Assessment. WDS'12 Proceedings of Contributed Papers, 94-99. MATFYZPRESS, Praha 2012. Download |
|
|
91. Stanislava Šimberová, Michal Haindl, Filip Šroubek: Fine Structure Recognition in Multichannel Observations. International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012, 1-7. IEEE Press, Piscataway 2012. Download |
|
|
92. Michal Haindl, Václav Remeš, Vojtěch Havlíček: Potts Compound Markovian Texture Model. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 29-32. IEEE Press, Piscataway 2012. Download |
|
 |
93. Jiří Filip, Michal Haindl, J. Stančík: Predicting Environment Illumination Effects on Material Appearance. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2075-2078. IEEE Press, Piscataway 2012. Download |
 |
94. Jiří Filip: Restoring Illumination and View Dependent Data from Sparse Samples. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 1391-1394. IEEE Press, Piscataway 2012. Download |
|
95. Jiří Grim, G. L. Lee: Evaluation of Screening Mammograms by Local Structural Mixture Models. Stochastic and Physical Monitoring Systems SPSM 2012, 51-61. Czech Technical University in Prague, Praha 2012. Download |
|
 |
96. Michal Haindl, Michal Havlíček: Bidirectional Texture Function Simultaneous Autoregressive Model. Computational Intelligence for Multimedia Understanding, 149-159. Springer, Berlin 2012. Download |
|
97. Pavel Vácha, Michal Haindl: Texture Recognition using Robust Markovian Features. Computational Intelligence for Multimedia Understanding, 126-137. Springer, Berlin 2012. Download |
|
 |
98. Jiří Filip, Pavel Vácha, Michal Haindl: Analysis of Human Gaze Interactions with Texture and Shape. Computational Intelligence for Multimedia Understanding, 160-171. Springer, Berlin 2012. Download |
|
99. Michal Haindl, Vojtěch Havlíček: A Plausible Texture Enlargement and Editing Compound Markovian Model. Computational Intelligence for Multimedia Understanding, 138-148. Springer, Berlin 2012. Download |
|
 |
100. Jiří Filip, Michal Haindl: User Study of Viewing and Illumination Dependent Material Appearance. Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance, 34-38. Lulu Press, Edinburgh UK 2012. Download |
|
|
|
 |
102. Michal Haindl, Jiří Filip: Advanced textural representation of materials appearance. Proceedings of SA '11 SIGGRAPH Asia 2011 Courses, 1-84. ACM, New York 2011. Download |
|
103. Martin Hatka, Michal Haindl: BTF Rendering in Blender. Proceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry, 265-272. The Association for Computing Machinery, Inc, New York, USA 2011. Download |
|
|
104. Václav Kratochvíl, H. Kružík, P. Tůma, Jiří Vomlel, Petr Somol: Predikce hospitalizační mortality u akutního infarktu myokardu. Sborník příspěvků MEDSODFT 2011, 128-138. Creative Connections, s.r.o, Praha 2011. Download |
|
|
105. Jiří Grim: Preprocessing of Screening Mammograms Based on Local Statistical Models. Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, 1-5. ACM, Barcelona 2011. Download |
|
|
106. Petr Somol, Jiří Grim, P. Pudil: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), 502-509. IEEE, Piscataway 2011. Download |
|
|
107. Jiří Grim, Jan Hora: Computational Properties of Probabilistic Neural Networks. Artificial Neural Networks – ICANN 2010, 31-40. Springer Verlag, Berlin Heidelberg 2010. Download |
|
|
108. Petr Somol, Jiří Grim, Pavel Pudil: The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround. Proc. 2010 Int. Conf. on Pattern Recognition, 4396-4399. IEEE Computer Society, Istanbul 2010. Download |
|
|
109. Jiří Grim, Petr Somol, Pavel Pudil: Digital Image Forgery Detection by Local Statistical Models. 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 579-582. IEEE computer society, Los Alamitos, California 2010. Download |
|
|
110. Stanislava Šimberová, Michal Haindl, Jan Flusser: Mathematics improves astronomical image understanding. Mathematics and Astronomy: A joint Long Journey, 215-221. American Institute of Physics, Melville 2010. |
|
|
111. Michal Haindl, Martin Hatka: Near-Regular BTF Texture Model. 20th International Conference on Pattern Recognition, 2114-2117. IEEE Computer Society CPS, Los Alamitos 2010. Download |
|
|
112. Michal Haindl, Vojtěch Havlíček: A Compound MRF Texture Model. 20th International Conference on Pattern Recognition, 1792-1795. IEEE Computer Society CPS, Los Alamitos 2010. Download |
|
 |
113. Jiří Filip, Michal Haindl, M.J. Chantler: Gaze-Motivated Compression of Illumination and View Dependent Textures. 20th International Conference on Pattern Recognition, 862-865. IEEE Computer Society CPS, Los Alamitos 2010. Download |
|
114. Pavel Vácha, Michal Haindl: Natural Material Recognition with Illumination Invariant Textural Features. 20th International Conference on Pattern Recognition, 858-861. IEEE Computer Society CPS, Los Alamitos 2010. Download |
|
|
115. Pavel Vácha, Michal Haindl: Content-Based Tile Retrieval System. Structural, Syntactic, and Statistical Pattern Recognition, 434-443. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010. Download |
|
 |
116. Jiří Filip, Pavel Vácha, Michal Haindl, P.R. Green: A Psychophysical Evaluation of Texture Degradation Descriptors. Structural, Syntactic, and Statistical Pattern Recognition, 423-433. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010. Download |
|
117. Michal Haindl, Vojtěch Havlíček, Jiří Grim: Colour Texture Representation Based on Multivariate Bernoulli Mixtures. 10th International Conference on Information Sciences, Signal Processing and their Applications, 578-581. IEEE, Los Alamitos 2010. Download |
|
|
118. Michal Haindl, Pavel Žid, Radek Holub: Range Video Segmentation. 10th International Conference on Information Sciences, Signal Processing and their Applications, 369-372. IEEE, Los Alamitos 2010. Download |
|
|
119. Petr Somol, Jana Novovičová, Pavel Pudil: Improving Sequential Feature Selection Methods Performance by Means of Hybridization. Proc. 6th IASTED Int. Conf. on Advances in Computer Science and Engineering. ACTA Press, Calgary 2010. Download |
|
|
120. Petr Somol, Jana Novovičová, Pavel Pudil: On the Over-Fitting Problem of Complex Feature Selection Methods. Proc. 5th International Computer Engineering Conference - A better Information Society Through the e@, 12-17. Cairo University, Káhira 2009. Download |
|
|
121. Jana Novovičová, Petr Somol, Pavel Pudil: A New Measure of Feature Selection Algorithms’ Stability. ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 382-387. IEEE Computer Society, Washington, DC, USA 2009. |
Other publications (16)
|
1. Jiří Filip, Filip Děchtěrenko: Exploration of Core Material Appearance Features. Appamat/IS&T International Workshop on Material Appearance. GDR APPAMAT, Paris 2023. Download |
|
|
2. Jiří Grim: Unsupervised Verification of Fake News by Public Opinion. Research Report 2390. UTIA, Praha 2021. Download |
|
|
3. Jiří Grim: Platební regulační mechanismus jako zdroj zvyšování platů ve zdravotnictví. Research Report 2373. ÚTIA AV ČR v.v.i, Praha 2018. Download |
|
|
4. Jiří Grim: Vyhodnocování grantové soutěže pomocí otevřené expertní databáze. Research Report 2371. ÚTIA AV ČR v.v.i, Praha 2018. Download |
|
|
|
6. Jiří Filip, F. J. Maile: Appearance Acquisition and Analysis of Effect Coatings. Research Report 2364. ÚTIA AV ČR v.v.i, Praha 2017. Download |
 |
7. Jiří Filip, Radomír Vávra, Mikuláš Krupička: A Portable Setup for Fast Material Appearance Acquisition. Research Report 2342. ÚTIA AV ČR, Praha 2014. Download |
 |
8. Radomír Vávra, Jiří Filip, P. Somol: A Comparison of Adaptive Sampling and Interpolation of 2D BRDF Subspaces. Research Report 2339. ÚTIA AV ČR, Praha 2013. Download |
 |
9. Jiří Filip: Towards Effective Measurement and Interpolation of Bidirectional Texture Functions. Research Report 2298. ÚTIA AV ČR, v.v.i, Praha 2011. |
|
10. Petr Somol, Jiří Grim: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition Problems. Research Report 2295. ÚTIA AV ČR, v.v.i, Praha 2011. Download |
|
|
13. 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 |
|
|
14. Petr Somol, Pavel Pudil: Sequential Retreating Search Methods in Feature Selection. Research Report 2286. ÚTIA, Praha 2010. |
|
|
15. Petr Somol, Jana Novovičová, Pavel Pudil, J. Kittler: Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches. Research Report 2285. ÚTIA AV ČR, v.v.i, Praha 2010. |
|