13000 / 13133 - Publikace - 2018

13000 / 13133 - katedra kybernetiky

Publikační činnost 2018

Články v časopisech WoS

CHANG, W.Ch. et al. Loss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbations. Nature Neuroscience. 2018, 21 1742-1752. ISSN 1097-6256. DOI 10.1038/s41593-018-0278-y.

SPANIEL, F. et al. Relapse in schizophrenia: Definitively not a bolt from the blue. Neuroscience Letters. 2018, 669 68-74. ISSN 0304-3940. DOI 10.1016/j.neulet.2016.04.044.

JEŽEK, F. a J. KOFRANEK. Modern and traditional approaches combined into an effective gray-box mathematical model of full-blood acid-base. Theoretical Biology and Medical Modelling. 2018, 15(1), ISSN 1742-4682. DOI 10.1186/s12976-018-0086-9.

HOFFMANN, M. et al. Robotic homunculus: Learning of artificial skin representation in a humanoid robot motivated by primary somatosensory cortex. IEEE Transactions on Cognitive and Developmental Systems. 2018, 10(2), 163-176. ISSN 2379-8920. DOI 10.1109/TCDS.2017.2649225.

DVOŘÁK, J. et al. Simulations of centriole of polarized centrosome as a monopole antenna in immune and viral synapses. JOURNAL OF BUON. 2018, 23(2), 514-521. ISSN 1107-0625.

PIDNEBESNA, A., D. TOMEČEK a J. HLINKA. BRAD: Software for BRain Activity Detection from hemodynamic response. Computer Methods and Programs in Biomedicine. 2018, 156 113-119. ISSN 0169-2607. DOI 10.1016/j.cmpb.2017.12.021.

ŠTĚPÁNOVÁ, K. a M. VAVREČKA. Estimating number of components in Gaussian mixture model using combination of greedy and merging algorithm. Pattern Analysis and Applications. 2018, 21(1), 181-192. ISSN 1433-7541. DOI 10.1007/s10044-016-0576-5.

Články v ostatních periodikách

PECKA, M. et al. Data-driven Policy Transfer with Imprecise Perception Simulation. IEEE Robotics and Automation Letters. 2018, 3(4), 3916-3921. ISSN 2377-3766. DOI 10.1109/LRA.2018.2857927. Dostupné z: ftp://cmp.felk.cvut.cz/pub/cmp/articles/svoboda/Pecka-Zimermann-Petrlik-Svoboda-IEEE-RAL-2018.pdf

Stati ve sbornících konferencí

GERLA, V. et al. Hybrid Hierarchical Clustering Algorithm Used for Large Datasets: A Pilot Study on Long-Term Sleep Data. In: Precision Medicine Powered by pHealth and Connected Health. International Conference on Biomedical and Health Informatics 2017, Thessaloniki, 2017-11-18/2017-11-21. Springer Nature Singapore Pte Ltd., 2018. s. 3-7. 1. sv. 66. ISSN 1680-0737. ISBN 978-981-10-7418-9. DOI 10.1007/978-981-10-7419-6_1.

HVĚZDA, J., M. KULICH a L. PŘEUČIL. Improved Discrete RRT for Coordinated Multi-robot Planning. In: Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - (Volume 2). International Conference on Informatics in Control, Automation and Robotics, Porto, 2018-07-29/2018-07-31. Madeira: SciTePress, 2018. s. 171-179. ISBN 978-989-758-321-6. DOI 10.5220/0006865901710179. Dostupné z: http://www.scitepress.org/PublicationsDetail.aspx?ID=ppwUqsGaX18=&t=1

MACAŠ, M. et al. Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. s. 2621-2627. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621339. Dostupné z: https://ieeexplore.ieee.org/document/8621339

HRACHOVINA, M., L. LHOTSKÁ a M. HUPTYCH. Preprocessing and filtration techniques of BSPM signals in a small-scale study. In: Precision Medicine Powered by pHealth and Connected Health. International Conference on Biomedical and Health Informatics 2017, Thessaloniki, 2017-11-18/2017-11-21. Springer Nature Singapore Pte Ltd., 2018. s. 127-132. 1. sv. 66. ISSN 1680-0737. ISBN 978-981-10-7418-9. DOI 10.1007/978-981-10-7419-6_22.

VÁCLAVEK, J. et al. Learning Analytics Dashboard Analysing First-Year Engineering Students. In: Lifelong Technology-Enhanced Learning. EC-TEL 2018.. THIRTEENTH EUROPEAN CONFERENCE ON TECHNOLOGY ENHANCED LEARNING, Leeds, 2018-09-03/2018-09-06. Springer, Cham, 2018. s. 575-578. Lecture Notes in Computer Science. sv. 11082. ISSN 0302-9743. ISBN 978-3-319-98571-8. DOI 10.1007/978-3-319-98572-5_48.

PICHL, J. Dialogue Act Detection Using Contextual Knowledge. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

LISTÍK, V. Image reconstruction from ResNet semantic feature vector. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

NAVARA, M. a J. ŠINDELÁŘ. Two envelope problem as a game of two players. In: Applications of Algebra 22. Zakopane, 2018-03-05/2018-03-10. Czestochowa: Jan Dlugosz University, 2018. s. 31.

GERLA, V. et al. Expert-in-the-loop Learning for Sleep EEG Data. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. s. 2590-2596. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621557. Dostupné z: https://ieeexplore.ieee.org/document/8621557

ŠEJNOVÁ, G. a M. VAVREČKA. Visual Reasoning with Natural Language in Robotics. In: Kognice a umělý život 2018. Kognice a umělý život XVIII, Brno, 2018-05-30/2018-06-01. Brno: FLOW, 2018. s. 67-68. ISBN 978-80-88123-24-8. Dostupné z: https://www.phil.muni.cz/media/3078302/sbornikprispevku_kuz18.pdf

BREZANY, P.B. et al. Towards precision brain disorder rehabilitation. In: 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Zagreb: Croatian Society SMFE, 2018. s. 228-233. DOI 10.23919/MIPRO.2018.8400043. Dostupné z: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8400043&isnumber=8399814

HVĚZDA, J. et al. Context-Aware Route Planning for Automated Warehouses. In: Proceedings of 2018 21st International Conference on Intelligent Transportation Systems (ITSC). 2018 IEEE Intelligent Transportation Systems Conference, Maui, 2018-11-04/2018-11-07. IEEE Intelligent Transportation Systems Society, 2018. s. 2955-2960. ISSN 2153-0017. ISBN 978-1-7281-0323-5. DOI 10.1109/ITSC.2018.8569712.

TESAŘ, M. a M. VAVREČKA. Implementace učení pomocí demonstrace v průmyslové úloze. In: Kognice a umělý život 2018. Kognice a umělý život XVIII, Brno, 2018-05-30/2018-06-01. Brno: FLOW, 2018. s. 78-79. ISBN 978-80-88123-24-8. Dostupné z: https://www.phil.muni.cz/media/3078302/sbornikprispevku_kuz18.pdf

MILERSKÁ, I., L. LHOTSKÁ a M. MACAŠ. Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. s. 1522-1525. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621074.

GRIMOVÁ, N., M. MACAŠ a V. GERLA. Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. s. 2249-2253. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621434. Dostupné z: https://ieeexplore.ieee.org/document/8621434

PICHL, J. et al. Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models. In: 2nd Proceedings of Alexa Prize (Alexa Prize 2018). AWS re:Invent 2018, Las Vegas, NV, 2018-11-26/2018-11-30. Amazon, 2018. s. 49-66.

ŠKOVIERA, R. et al. Teaching robots to imitate a human with no on-teacher sensors. Whatare the key challenges?. In: Towards Intelligent Social Robots: From Naive Robots To Robot Sapiens (Workshops to IEEE/RSJ IROS). Towards Intelligent Socal Robots: From Naive Robots to Robot Sapiens (IEEE/RSJ IROS), Madrid, 2018-10-05. Barcelona: IEEE, 2018. Dostupné z: https://arxiv.org/pdf/1901.08335.pdf

KUDLÁČEK, J. et al. Transition to seizure via critical slowing in a chronic model of temporal lobe epilepsy. In: 11th FENS Forum of Neuroscience. Berlin, 2018-07-07/2018-07-11. Kenes Group, 2018. s. 1900. Dostupné z: https://w3.kenes-group.com/abstractbook/data/HtmlApp/main.html

ŠEJNOVÁ, G., M. TESAŘ a M. VAVREČKA. Compositional models for VQA: Can neural module networks really count?. In: Procedia Computer Science. BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Praha, 2018-08-22/2018-08-24. New York: Elsevier B.V., 2018. s. 481-487. ISSN 1877-0509. DOI 10.1016/j.procs.2018.11.110. Dostupné z: https://ac.els-cdn.com/S1877050918323986/1-s2.0-S1877050918323986-main.pdf?_tid=a4ba8c06-ab27-49ab-b27e-28c3ef34031c&acdnat=1549358710_448d7843295e9400663948d0d99401d8

SAIFUTDINOVA, E. et al. Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. s. 2803-2805. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621374. Dostupné z: https://ieeexplore.ieee.org/document/8621374

KONRÁD, J. Transfer learning for question answering on SQuAD. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

Dizertace

KUBELKA, V. Improving perception and locomotion capabilities of mobile robots in urban search and rescue missions. Praha: Datum obhajoby 2018-11-14. Doktorská práce (Ph.D.). ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Vedoucí práce M. REINŠTEIN a T. SVOBODA.

13133 / 13161 - geometrie vidění a robotika

Publikační činnost 2018

Stati ve sbornících konferencí

WALTER, V., T. NOVÁK a M. SASKA. Self-Localization of Unmanned Aerial Vehicles Based on Optical Flow in Inboard Camera Image. In: Modelling and Simulation for Autonomous Systems (MESAS 2017). MESAS 2017 - Modelling & Simulation for Autonomous Systems, Řím, 2017-10-24/2017-11-26. Cham: Springer International Publishing AG, 2018. s. 106-132. Lecture Notes in Computer Vision. sv. 10756. ISSN 0302-9743. ISBN 978-3-319-76071-1. DOI 10.1007/978-3-319-76072-8_8.

13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2018

Články v časopisech WoS

KILEEL, J. et al. Distortion Varieties. Foundations of Computational Mathematics. 2018, 18(4), 1043-1071. ISSN 1615-3375. DOI 10.1007/s10208-017-9361-0.

TOLIAS, G. a O. CHUM. Efficient Contour Match Kernel. Image and Vision Computing. 2018, 76 14-26. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.04.006.

BARÁTH, D. Efficient energy-based topological outlier rejection. Computer Vision and Image Understanding. 2018, 174 70-81. ISSN 1077-3142. DOI 10.1016/j.cviu.2018.07.002.

LUKEŽIČ, A. et al. Discriminative Correlation Filter Tracker with Channel and Spatial Reliability. International Journal of Computer Vision. 2018, 126(7), 671-688. ISSN 0920-5691. DOI 10.1007/s11263-017-1061-3.

FRANC, V. a J. ČECH. Learning CNNs from Weakly Annotated Facial Images. Image and Vision Computing. 2018, 77 10-20. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.06.011.

ŠRAJER, F., Z. KÚKELOVÁ a A. FITZGIBBON. A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning. Optimization Methods and Software. 2018, 2018(33), 889-906. ISSN 1029-4937. DOI 10.1080/10556788.2018.1435651. Dostupné z: https://www.semanticscholar.org/paper/A-benchmark-of-selected-algorithmic-differentiation-Srajer-Kukelova/36b377c6f5e096728005967e7a2c2a4f0951629e

BARÁTH, D. a L. HAJDER. Efficient Recovery of Essential Matrix From Two Affine Correspondences. IEEE Transactions on Image Processing. 2018, 27(11), 5328-5337. ISSN 1057-7149. DOI 10.1109/TIP.2018.2849866.

Knihy, kapitoly v knihách, skripta, sborníky

KÚKELOVÁ, Z. a J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. ISBN 978-80-270-3395-9. Dostupné z: http://cmp.felk.cvut.cz/cvww2018/

BONNET, P. et al. Plant Identification: Experts vs. Machines in the Era of Deep Learning. In: Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Springer, Cham, 2018. s. 131-149. ISBN 978-3-319-76444-3. DOI 10.1007/978-3-319-76445-0_8.

Stati ve sbornících konferencí

NAISER, F., M. ŠMÍD a J. MATAS. Tracking and Re-Identification System for Multiple Laboratory Animals. In: 2018 VAIB (ICPR2018 Workshop). 2018 24rd International Conference on Pattern Recognition (ICPR), Beijing, 2018-08-20/2018-08-24. Edinburgh: University of Edinburg, 2018. Dostupné z: http://homepages.inf.ed.ac.uk/rbf/VAIB18PAPERS/vaib18naiser.pdf

PRITTS, J. et al. Radially-Distorted Conjugate Translations. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 1993-2001. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00213. Dostupné z: http://openaccess.thecvf.com/content_cvpr_2018/papers_backup/Pritts_Radially-Distorted_Conjugate_Translations_CVPR_2018_paper.pdf

BARÁTH, D. a J. MATAS. Multi-class Model Fitting by Energy Minimization and Mode-Seeking. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part XVI. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. s. 229-245. Lecture Notes in Computer Vision. sv. 11220. ISSN 0302-9743. ISBN 978-3-030-01269-4. DOI 10.1007/978-3-030-01270-0_14.

BARÁTH, D. a J. MATAS. Graph-Cut RANSAC. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 6733-6741. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00704. Dostupné z: http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

LARSSON, V. et al. Beyond Gröbner Bases: Basis Selection for Minimal Solvers. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 3945-3954. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00415. Dostupné z: http://openaccess.thecvf.com/content_cvpr_2018/papers_backup/Larsson_Beyond_GroBner_Bases_CVPR_2018_paper.pdf

ISCEN, A. a O. CHUM. Local Orthogonal-Group Testing. In: FERRARI, V. et al., eds. ECCV2018: Proceedings of the European Conference on Computer Vision, Part II. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Cham: Springer International Publishing, 2018. s. 460-476. Image Processing, Computer Vision, Pattern Recognition, and Graphics. sv. 11206. ISSN 0302-9743. ISBN 978-3-030-01215-1. DOI 10.1007/978-3-030-01216-8_28.

ŠPETLÍK, R. et al. Visual Heart Rate Estimation with Convolutional Neural Network. In: BMVC2018: Proceedings of the British Machine Vision Conference. BMVC2018: British Machine Vision Conference, Newcastle upon Tyne, 2018-09-03/2018-09-06. London: British Machine Vision Association, 2018. Dostupné z: http://bmvc2018.org/contents/papers/0271.pdf

LARSSON, V., Z. KÚKELOVÁ a Y. ZHENG. Camera Pose Estimation with Unknown Principal Point. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 2984-2992. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00315. Dostupné z: http://openaccess.thecvf.com/content_cvpr_2018/html/Larsson_Camera_Pose_Estimation_CVPR_2018_paper.html

SHEKHOVTSOV, O. a B. FLACH. Normalization of Neural Networks using Analytic Variance Propagation. In: KÚKELOVÁ, Z. a J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. CVWW 2018: Computer Vision Winter Workshop, Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. s. 45-53. ISBN 978-80-270-3395-9. Dostupné z: https://arxiv.org/abs/1803.10560

TOURANI, S. et al. MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part IV. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Berlin: Springer-Verlag, 2018. s. 264-281. Lecture Notes in Computer Science. sv. 11208. ISSN 0302-9743. ISBN 978-3-030-01224-3. DOI 10.1007/978-3-030-01225-0_16.

ISCEN, A. et al. Fast Spectral Ranking for Similarity Search. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 7632-7641. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00796. Dostupné z: https://ieeexplore.ieee.org/document/8578894

RAZINKOV, E., I. SAVELEVA a J. MATAS. ALFA: Agglomerative Late Fusion Algorithm for Object Detection. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. s. 2594-2599. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8545182.

GOËAU, H. et al. Deep learning for plant identification: how the web can compete with human experts. In: Biodiversity Information Science and Standards 2: e25637. PenSoft, 2018. DOI 10.3897/biss.2.25637. Dostupné z: https://biss.pensoft.net/article/25637/list/8/

KUPYN, O. et al. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 8183-8192. ISSN 2575-7075. ISBN 978-1-5386-6420-9. Dostupné z: http://openaccess.thecvf.com/content_cvpr_2018/papers/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.pdf

HODAŇ, T. et al. BOP: Benchmark for 6D Object Pose Estimation. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part X. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. s. 19-35. Lecture Notes in Computer Vision. sv. 11214. ISSN 0302-9743. ISBN 978-3-030-01248-9. DOI 10.1007/978-3-030-01249-6_2.

ISCEN, A. et al. Mining on Manifolds: Metric Learning without Labels. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 7642-7651. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00797. Dostupné z: https://ieeexplore.ieee.org/document/8578895

RADENOVIĆ, F., G. TOLIAS a O. CHUM. Deep Shape Matching. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part V. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. s. 774-791. Lecture Notes in Computer Science. sv. 11209. ISSN 0302-9743. ISBN 978-3-030-01227-4. DOI 10.1007/978-3-030-01228-1_46.

KART, U. et al. Depth Masked Discriminative Correlation Filter. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. s. 2112-2117. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8546179.

ŠULC, M., L. PICEK a J. MATAS. Plant Recognition by Inception Networks with Test-time Class Prior Estimation. In: CAPPELLATO, L. et al., eds. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum. CLEF 2018: Conference and Labs of the Evaluation Forum, Avignon, 2018-09-10/2018-09-14. CEUR-WS.org, 2018. sv. 2125. ISSN 1613-0073. Dostupné z: http://ceur-ws.org/Vol-2125/paper_152.pdf

MISHKIN, D., F. RADENOVIĆ a J. MATAS. Repeatability Is Not Enough: Learning Affine Regions via Discriminability. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part IX. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. s. 287-304. Lecture Notes in Computer Vision. sv. 11213. ISSN 0302-9743. ISBN 978-3-030-01239-7. DOI 10.1007/978-3-030-01240-3_18.

SIMEONI, O. et al. Unsupervised object discovery for instance recognition. In: 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. WACV: 2018 IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, 2018-03-12/2018-02-15. Institute of Electrical and Electronics Engineers Inc, 2018. s. 1745-1754. ISSN 2472-6737. ISBN 978-1-5386-4886-5. DOI 10.1109/WACV.2018.00194.

MUSTANIEMI, J. et al. Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. s. 3068-3073. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8546041.

GOMEZ, R. et al. ICDAR2017 Robust Reading Challenge on COCO-Text. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). The 14th IAPR International Conference on Document Analysis and Recognition, Kyoto, 2017-11-09/2017-11-15. Los Alamitos: IEEE Computer Society, 2018. s. 1435-1443. ISSN 1520-5363. ISBN 978-1-5386-3586-5. DOI 10.1109/ICDAR.2017.234.

ŠPETLÍK, R., J. ČECH a J. MATAS. Non-contact reflectance photoplethysmography: Progress, limitations, and myths. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. s. 702-709. ISSN 2326-5396. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00111. Dostupné z: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373904

RADENOVIĆ, F. et al. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. s. 5706-5715. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00598. Dostupné z: http://cmp.felk.cvut.cz/~radenfil/publications/Radenovic-CVPR18.pdf

JAHODA, P. et al. Detecting decision ambiguity from facial images. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. s. 499-503. ISSN 2326-5396. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00080. Dostupné z: http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf

Dizertace

VOJÍŘ, T. Short-Term Visual Object Tracking in Real-Time. Praha: Datum obhajoby 2018-02-28. Doktorská práce (Ph.D.). ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Vedoucí práce J. MATAS.

Výzkumné zprávy

RADENOVIĆ, F. et al. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. [Výzkumná zpráva] ArXiv, 2018. Zpráva č. arXiv:1803.11285.

Nepublikované přednášky

ŠULC, M. Fine-grained recognition of plant species from images. [Nepublikovaná přednáška] UTIA CAS. 2018-03-23.

13133 / 13163 - algoritmy pro biomedicínské zobrazování

Publikační činnost 2018

Články v časopisech WoS

DVOŘÁK, J. et al. Volume estimation from single images: an application to pancreatic islets. Image Analysis and Stereology. 2018, 37(3), 191-204. ISSN 1580-3139. DOI 10.5566/ias.1869.

GLOWACKI, P. et al. Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018, 40(3), 755-761. ISSN 0162-8828. DOI 10.1109/TPAMI.2017.2680444.

Stati ve sbornících konferencí

BOROVEC, J., A. MUNOZ-BARRUTIA a J. KYBIC. Benchmarking of image registration methods for differently stained histological slides. In: International Conference on Image Processing. Atény, 2018-10-07/2019-01-10. IEEE (Institute of Electrical and Electronics Engineers), 2018. s. 3368-3372. ISSN 2381-8549. ISBN 978-1-4799-7061-2. DOI 10.1109/ICIP.2018.8451040. Dostupné z: https://ieeexplore.ieee.org/document/8451040

DOS SANTOS PINHEIRO, M. a J. KYBIC. Incremental B-spline deformation model for geometric graph matching. In: 2018 IEEE 15th IEEE International Symposium on Biomedical Imaging (ISBI). International Symposium on Biomedical Imaging, Washington, D.C., 2018-04-04/2018-04-07. New Jersey: IEEE Signal Processing Society, 2018. s. 1079-1082. ISSN 1945-7928. ISBN 978-1-5386-3636-7. DOI 10.1109/ISBI.2018.8363758. Dostupné z: https://ieeexplore.ieee.org/document/8363758

KYBIC, J. a J. BOROVEC. Fast registration by boundary sampling and linear programming. In: Medical Image Computing and Computer Assisted Intervention, Part I. Medical Image Computing and Computer Assisted Intervention, Granada, 2018-09-16/2018-09-20. Springer, Cham, 2018. s. 783-791. Lecture Notes in Computer Science. sv. 11070. ISSN 0302-9743. ISBN 978-3-030-00927-4. DOI 10.1007/978-3-030-00928-1_88.

HERING, J., J. KYBIC a L. LAMBERT. Detecting multiple myeloma via generalized multiple-instance learning. In: SPIE Medical Imaging 2018. Houston, 2018-02-11/2018-02-13. Baltimore: SPIE, 2018. Image Processing. sv. 10574. ISSN 0277-786X. ISBN 978-1-5106-1638-7. DOI 10.1117/12.2293112. Dostupné z: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10574/105740N/Detecting-multiple-myeloma-via-generalized-multiple-instance-learning/10.1117/12.2293112.short?SSO=1

JAHODA, P. et al. Detecting decision ambiguity from facial images. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. s. 499-503. ISSN 2326-5396. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00080. Dostupné z: http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf

Dizertace

BOROVEC, J. Automatic analysis of gene expressions in Drosophila microscopy images. Praha: Datum obhajoby 2018-07-10. Doktorská práce (Ph.D.). ČVUT FEL, Katedra kybernetiky. Vedoucí práce J. KYBIC.

13133 / 13164 - vidění pro roboty a autonomní systémy

Publikační činnost 2018

Články v časopisech WoS

SOMOGYI, E. et al. Which limb is it? Responses to vibrotactile stimulation in early infancy. British Journal of Developmental Psychology. 2018, 36(3), 384-401. ISSN 0261-510X. DOI 10.1111/bjdp.12224.

BÁČA, T. et al. Timepix in LEO Orbit onboard the VZLUSAT-1 Nanosatellite: 1-year of Space Radiation Dosimetry Measurements. Journal of Instrumentation. 2018, 13(11), ISSN 1748-0221. DOI 10.1088/1748-0221/13/11/C11010. Dostupné z: http://iopscience.iop.org/article/10.1088/1748-0221/13/11/C11010

HOFFMANN, M. et al. Robotic homunculus: Learning of artificial skin representation in a humanoid robot motivated by primary somatosensory cortex. IEEE Transactions on Cognitive and Developmental Systems. 2018, 10(2), 163-176. ISSN 2379-8920. DOI 10.1109/TCDS.2017.2649225.

MOULIN-FRIER, C. et al. DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Transactions on Cognitive and Developmental Systems. 2018, 10(4), 1005-1022. ISSN 2379-8920. DOI 10.1109/TCDS.2017.2754143.

Články v ostatních periodikách

PECKA, M. et al. Data-driven Policy Transfer with Imprecise Perception Simulation. IEEE Robotics and Automation Letters. 2018, 3(4), 3916-3921. ISSN 2377-3766. DOI 10.1109/LRA.2018.2857927. Dostupné z: ftp://cmp.felk.cvut.cz/pub/cmp/articles/svoboda/Pecka-Zimermann-Petrlik-Svoboda-IEEE-RAL-2018.pdf

Knihy, kapitoly v knihách, skripta, sborníky

HOFFMANN, M. a R. PFEIFER. Robots as powerful allies for the study of embodied cognition from the bottom up. In: NEWEN, A., L. DE BRUIN a S. GALLAGHER, eds. The Oxford Handbook 4e Cognition. Oxford: Oxford University Press, 2018. ISBN 978-0-19-873541-0. DOI 10.1093/oxfordhb/9780198735410.013.45.

Stati ve sbornících konferencí

MORAVEC, J. a R. ŠÁRA. Robust Maximum-likelihood On-line LiDAR-to-Camera Calibration Monitoring and Refinement. In: KÚKELOVÁ, Z. a J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. CVWW 2018: Computer Vision Winter Workshop, Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. s. 27-35. ISBN 978-80-270-3395-9. Dostupné z: http://cmp.felk.cvut.cz/cvww2018/papers/4.pdf

ŠVARNÝ, P. a M. HOFFMANN. Safety of human-robot interaction through tactile sensors and peripersonal space representations. In: Kognice a umělý život 2018. Kognice a umělý život XVIII, Brno, 2018-05-30/2018-06-01. Brno: FLOW, 2018. s. 73-75. ISBN 978-80-88123-24-8.

ŠVARNÝ, P., Z. STRAKA a M. HOFFMANN. Versatile distance measurement between robot and human key points using RGB-D sensors for safe HRI. In: 1st Workshop on Proximity Perception in Robotics at IROS 2018. IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. KIT Scientific Publishing, 2018. DOI 10.5445/IR/1000086870. Dostupné z: https://publikationen.bibliothek.kit.edu/1000086870

NGUYEN, P.D.H. et al. Merging physical and social interaction for effective human-robot collaboration. In: Humanoid Robots (Humanoids), 2018 IEEE-RAS 18th International Conference on. Beijing, 2018-11-06/2018-11-09. Piscataway, NJ: IEEE, 2018. s. 710-717. ISSN 2164-0580. ISBN 978-1-5386-7283-9. DOI 10.1109/HUMANOIDS.2018.8625030.

NGUYEN, D.H.P. et al. Compact Real-time Avoidance on a Humanoid Robot for Human-robot Interaction. In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction 2018, Chicago, 2018-03-05/2018-03-08. USA: IEEE Computer Society, 2018. s. 416-424. ISSN 2167-2148. ISBN 978-1-4503-4953-6. DOI 10.1145/3171221.3171245. Dostupné z: http://dx.doi.org/10.1145/3171221.3171245

ŠVARNÝ, P., Z. STRAKA a M. HOFFMANN. Toward safe separation distance monitoring from RGB-D sensors in human-robot interaction. In: Proceedings of the international PhD conference on safe and social robots. The International PhD Conference on Safe and Social Robotics, Madrid, 2018-09-29/2018-09-30. Strasbourg: Commission of the European Communities, 2018. s. 11-14. Dostupné z: http://www.socrates-project.eu/internal-documents/SSR_2018/Proceedings2.pdf

Nepublikované přednášky

HOFFMANN, M. Exploiting body morphology in animals and robots: control, perception, but rarely computation. [Nepublikovaná přednáška] Gordana Dodig-Crnkovic, Robert Lowe. 2018-05-08.

HOFFMANN, M. Whole-body awareness for safe and natural interaction: from brains to collaborative robots. [Nepublikovaná přednáška] Prof. Justus Piater. 2018-06-22.

HOFFMANN, M. Safe and Natural Human-Robot Interaction through Peripersonal Space Representations. [Nepublikovaná přednáška] Prof. Markus Vincze. 2018-12-06.

13133 / 13166 - analýza a interpretace biomedicínských dat

Publikační činnost 2018

Články v časopisech WoS

CUESTA, D. et al. Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics. Entropy. 2018, 20(871), ISSN 1099-4300. DOI 10.3390/e20110871. Dostupné z: https://www.mdpi.com/1099-4300/20/11/871/htm

MARIA CIRUGEDA-ROLDAN, E. et al. Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation. Computational and Mathematical Methods in Medicine. 2018, 2018 ISSN 1748-6718. DOI 10.1155/2018/1874651. Dostupné z: https://www.hindawi.com/journals/cmmm/2018/1874651/

Články v ostatních periodikách

KULHÁNEK, A. et al. eHealth Intervention for Smoking Cessation for Czech Tobacco Smokers: Pilot Study of User Acceptance. Adiktologie. 2018, 2018(2), 81-85. ISSN 1213-3841.

Stati ve sbornících konferencí

NOVÁK, P. Orientace v rozhlehlých budovách. In: GEORGI, H. a R. ŠLAMBEROVÁ, eds. Stárnutí / Ageing 2018. Ageing / Stárnutí 2018 - 4th GERONTOLOGICAL INTERDISCIPLINARY CONFERENCE, 3. lékařská fakulta, Univerzita Karlova, Praha, 2018-10-19/2018-10-20. Praha: Univerzita Karlova v Praze, 3. lékařská fakulta, 2018. s. 144-150. ISBN 978-80-87878-36-1.

BAKŠTEIN, E. et al. Fusion of microelectrode neuronal recordings and MRI landmarks for automatic atlas fitting in deep brain stimulation surgery. In: 7th MICCAIA Workshop on Clinical Image-based Procedures - Translational Research in Medical Imaging. Granada, 2018-09-16. London: Springer, 2018. s. 175-183. ISSN 0302-9743. ISBN 978-3-030-01200-7. DOI 10.1007/978-3-030-01201-4_19.

DOSTÁLKOVÁ, M. et al. Test kontrastové citlivosti pro nejmenší děti. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. s. 38-42. ISSN 1213-1032.

DUCHÁČKOVÁ, M. et al. Porovnání dichoptických zobrazovacích systémů pro aplikaci ortopticko-pleoptických cvičení ve virtuální realitě. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. s. 112-117. ISSN 1213-1032.

MALÁ, K. et al. Test reakčního času na dopravně - signální barvy. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. s. 76-79. ISSN 1213-1032.

SERRANOVÁ, T. et al. Gradient-like representation of emotional valence and arousal within the subthalamic nucleus in Parkinson’s disease. In: Abstracts of the 2018 International Congress of Parkinson's Disease and Movement Disorders. International Congress of Parkinson’s Disease and Movement Disorders 2018, Hong Kong, 2018-10-05/2018-10-09. International Parkinson and Movement Disorder Society, 2018. sv. 33.

NĚMÝ, M. a L. VYSLOUŽILOVÁ. Measurement of Basal Forebrain Atrophy in Alzheimer’s Disease using Tensor-Based Morphometry: Preliminary Study. In: GEORGI, H. a R. ŠLAMBEROVÁ, eds. Ageing 2018: Proceedings of the 4th Gerontological Interdisciplinary Conference. Ageing 2018, Praha, 2018-10-19/2018-10-20. Praha: Univerzita Karlova v Praze, 3. lékařská fakulta, 2018. s. 184-193. ISBN 978-80-87878-36-1. Dostupné z: http://www.konferencestarnuti.cz/

NOVÁK, P. Možnosti využití běžně dostupné techniky v oftalmologii. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. s. 91-93. ISSN 1213-1032.

OTÁHAL, M. a M. KOVÁŘ. Motion Memory: Invariant representations of sequences in cortical L2/3 by Hierarchical Temporal Memory. In: Procedia Computer Science. BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Praha, 2018-08-22/2018-08-24. New York: Elsevier B.V., 2018. s. 400-405. ISSN 1877-0509. DOI 10.1016/j.procs.2018.11.091. Dostupné z: https://www.sciencedirect.com/science/article/pii/S1877050918323792

OTÁHAL, M. Specialized HTM layer for neural BCI communication. In: Procedia Computer Science. BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Praha, 2018-08-22/2018-08-24. New York: Elsevier B.V., 2018. ISSN 1877-0509. Dostupné z: http://bica2018.bicasociety.org/

13133 / 13167 - multirobotické systémy

Publikační činnost 2018

Články v časopisech WoS

BÁČA, T. et al. Timepix in LEO Orbit onboard the VZLUSAT-1 Nanosatellite: 1-year of Space Radiation Dosimetry Measurements. Journal of Instrumentation. 2018, 13(11), ISSN 1748-0221. DOI 10.1088/1748-0221/13/11/C11010. Dostupné z: http://iopscience.iop.org/article/10.1088/1748-0221/13/11/C11010

BÁČA, T. et al. Rospix: modular software tool for automated data acquisitions of Timepix detectors on Robot Operating System. Journal of Instrumentation. 2018, 13(11), ISSN 1748-0221. DOI 10.1088/1748-0221/13/11/C11008. Dostupné z: http://iopscience.iop.org/article/10.1088/1748-0221/13/11/C11008

Články v ostatních periodikách

LOIANNO, G. et al. Localization, Grasping, and Transportation of Magnetic Objects by a team of MAVs in Challenging Desert like Environments. IEEE Robotics and Automation Letters. 2018, 99(PP), 1-8. ISSN 2377-3766. DOI 10.1109/LRA.2018.2800121. Dostupné z: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276269

Stati ve sbornících konferencí

WALTER, V. et al. Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform. In: Proceedings of the IEEE International Conference on Automation Science and Engineering. IEEE International Conference on Automation Science and Engineering, Munich, 2018-08-20/2018-08-24. IEEE, 2018. s. 298-303. ISSN 2161-8089. ISBN 978-1-5386-3593-3. DOI 10.1109/COASE.2018.8560384. Dostupné z: https://ieeexplore.ieee.org/document/8560384

VONÁSEK, V. a M. SASKA. Increasing Diversity of Solutions in Sampling-based Path Planning. In: Proceedings of the 2018 International Conference on Robotics and Artificial Intelligence. 2018 the 4th International Conference on Robotics and Artificial Intelligence (ICRAI 2018), Guangzhou, 2018-11-17/2018-11-19. New York: ACM, 2018. s. 97-102. ISBN 978-1-4503-6584-0. DOI 10.1145/3297097.3297114.

VONÁSEK, V. Motion planning of 3D objects using Rapidly Exploring Random Tree guided by approximate solutions. In: Proceedings 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Torino, 2018-09-04/2018-09-07. Piscataway: IEEE, 2018. s. 713-720. 1. sv. 1. ISSN 1946-0759. ISBN 978-1-5386-7108-5. DOI 10.1109/ETFA.2018.8502446.

PETRÁČEK, P. a M. SASKA. Decentralized Aerial Swarms Using Vision-Based Mutual Localization. In: Second Workshop on Multi-robot Perception-Driven Control and Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. Barcelona: IEEE, 2018.

KRÁTKÝ, V. et al. Documentation Of Historical Buildings With the Usage of Model Predictive Control. In: Second Workshop on Multi-robot Perception-Driven Control and Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. Barcelona: IEEE, 2018.

JANKOVEC, T. Pathways searching for flexible ligands in proteins. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

WALTER, V. et al. Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform. In: 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and Engineering, Munich, 2018-08-20/2018-08-24. New York: IEEE, 2018. s. 298-303. ISSN 2161-8070. ISBN 978-1-5386-3593-3. DOI 10.1109/COASE.2018.8560384. Dostupné z: https://ieeexplore.ieee.org/document/8560384

WALTER, V., T. NOVÁK a M. SASKA. Self-Localization of Unmanned Aerial Vehicles Based on Optical Flow in Inboard Camera Image. In: Modelling and Simulation for Autonomous Systems (MESAS 2017). MESAS 2017 - Modelling & Simulation for Autonomous Systems, Řím, 2017-10-24/2017-11-26. Cham: Springer International Publishing AG, 2018. s. 106-132. Lecture Notes in Computer Vision. sv. 10756. ISSN 0302-9743. ISBN 978-3-319-76071-1. DOI 10.1007/978-3-319-76072-8_8.

WASSERMANN, J., V. VONÁSEK a A. VICK. Distributed Industrial Robot Control Using Environment Perception and Parallel Path Planning Cloud Services. In: Proceedings 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Torino, 2018-09-04/2018-09-07. Piscataway: IEEE, 2018. s. 1263-1266. 1. sv. 1. ISSN 1946-0759. ISBN 978-1-5386-7108-5. DOI 10.1109/ETFA.2018.8502588.

BÁČA, T. et al. Model Predictive Trajectory Tracking and Collision Avoidance for Reliable Outdoor Deployment of Unmanned Aerial Vehicles. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. New York: IEEE Press, 2018. ISBN 978-1-5386-8093-3.

WALTER, V., M. SASKA a A. FRANCHI. Fast Mutual Relative Localization of UAVs using Ultraviolet LED Markers. In: 2018 International Conference on Unmanned Aircraft Systems (ICUAS). Dallas, TX, 2018-06-11/2018-06-15. IEEE, 2018. s. 1217-1226. ISSN 2575-7296. ISBN 978-1-5386-1353-5. DOI 10.1109/ICUAS.2018.8453331.

13133 / 13168 - strojové učení

Publikační činnost 2018

Články v časopisech WoS

FRANC, V. et al. Learning data discretization via convex optimization. Machine Learning. 2018, 107(2), 333-355. ISSN 0885-6125. DOI 10.1007/s10994-017-5654-4.

FRANC, V. a J. ČECH. Learning CNNs from Weakly Annotated Facial Images. Image and Vision Computing. 2018, 77 10-20. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.06.011.

Patenty a užitné vzory

Cisco Technology, Inc. (San Jose, CA). Learning detector of malicious network traffic from weak labels. Původci: V. FRANC, M. SOFKA a K. BARTOS. Spojené státy americké. Patent US9923912B2. 2018-03-20. Dostupné z: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2Fsearch-adv.htm&r=0&f=S&l=50&d=PALL&Query=9923912

Cisco Technology, Inc. (San Jose, CA, USA). Method and apparatus for aggregating indicators of compromise for use in network security. Původci: K. BARTOS et al. Spojené státy americké. Patent US9985982B1. 2018-05-29. Dostupné z: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2Fsearch-adv.htm&r=0&f=S&l=50&d=PALL&Query=9985982

Články v ostatních periodikách

SCHLESINGER, M. I., B. FLACH a E. VODOLAZSKIY. Finding a Given Number of Solutions to a System of Fuzzy Constraints. Cybernetics and Systems Analysis. 2018, 54(1), 60-74. ISSN 1060-0396. DOI 10.1007/s10559-018-0007-2.

Stati ve sbornících konferencí

HARDING, J. et al. Boolean subalgebras of orthoalgebras. In: 15th International Conference on Quantum Physics and Logic. Halifax, 2018-06-03/2018-06-07. Halifax: Dalhousie University, 2018. s. 1-3. Dostupné z: https://www.mathstat.dal.ca/qpl2018/papers/QPL_2018_paper_39.pdf

GUILLON, B. et al. Two-Way Automata and One-Tape Machines: Read Only Versus Linear Time. In: International Conference on Developments in Language Theory. The 22nd International Conference on Developments in Language Theory, Tokyo, 2018-09-10/2018-09-14. Cham: Springer International Publishing, 2018. s. 366-378. Lecture Notes in Computer Science. sv. 11088. ISSN 0302-9743. ISBN 978-3-319-98653-1. DOI 10.1007/978-3-319-98654-8_30.

ŠPETLÍK, R. et al. Visual Heart Rate Estimation with Convolutional Neural Network. In: BMVC2018: Proceedings of the British Machine Vision Conference. BMVC2018: British Machine Vision Conference, Newcastle upon Tyne, 2018-09-03/2018-09-06. London: British Machine Vision Association, 2018. Dostupné z: http://bmvc2018.org/contents/papers/0271.pdf

NAVARA, M. a J. ŠINDELÁŘ. Two envelope problem as a game of two players. In: Applications of Algebra 22. Zakopane, 2018-03-05/2018-03-10. Czestochowa: Jan Dlugosz University, 2018. s. 31.

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NAVARA, M. Generalizations of the principle of inclusion and exclusion. In: MESIAR, R., S. SAMINGER-PLATZ a P. STRUK, eds. Fourteenth International Conference on Fuzzy Sets Theory Applications. Liptovský Ján, 2018-01-28/2018-02-02. Bratislava: Slovak University of Technology in Bratislava, 2018. s. 74. ISBN 978-80-8040-560-1.

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VAŠEK, V., V. FRANC a M. URBAN. License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks. In: BMVC2018: Proceedings of the British Machine Vision Conference. BMVC2018: British Machine Vision Conference, Newcastle upon Tyne, 2018-09-03/2018-09-06. London: British Machine Vision Association, 2018. Dostupné z: http://www.bmvc2018.org/contents/papers/0537.pdf

Dizertace

UŘIČÁŘ, M. Multi-view Facial Landmark Detection. Datum obhajoby 2018-03-27. Doktorská práce (Ph.D.). ČVUT FEL. Strojové učení. Vedoucí práce V. FRANC.

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Publikační činnost 2018

Články v časopisech WoS

LALIŠ, A. et al. Generating synthetic aviation safety data to resample or establish new datasets. Safety Science. 2018, 106(106), 154-161. ISSN 0925-7535. DOI 10.1016/j.ssci.2018.03.013.

Stati ve sbornících konferencí

AHMAD, J., P. KŘEMEN a M. LEDVINKA. Optimization of Queries Based on Foundational Ontologies. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). OnTheMove Federated Conferences & Workshops, Valletta, 2018-10-22/2018-10-26. Springer International Publishing, 2018. s. 351-367. ISSN 0302-9743. ISBN 978-3-030-02670-7. DOI 10.1007/978-3-030-02671-4_22.

KŘEMEN, P. et al. Dataset Dashboard – a SPARQL Endpoint Explorer. In: 4th International Workshop on Visualization and Interaction for Ontologies and Linked Data, VOILA 2018. 4th International Workshop on Visualization and Interaction for Ontologies and Linked Data, Monterey, CA, 2018-10-08. Aachen: CEUR Workshop Proceedings, 2018. s. 70-77. ISSN 1613-0073. Dostupné z: http://ceur-ws.org/Vol-2187/paper7.pdf

LEDVINKA, M., M. BLAŠKO a P. KŘEMEN. Factors of Efficient Semantic Web Application Development. In: On the Move to Meaningful Internet Systems. OTM 2018 Conferences. The 17th International Conference on Ontologies, DataBases, and Applications of Semantics, Valletta, 2018-10-23/2018-10-24. Basel: Springer, 2018. s. 565-572. sv. 2. ISSN 0302-9743. ISBN 978-3-030-02670-7. DOI 10.1007/978-3-030-02671-4_35. Dostupné z: https://link.springer.com/book/10.1007%2F978-3-030-02671-4

Stránka vytvořena 03.07.2020 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.