13000 / 13133 - Publikace - 2019

13000 / 13133 - katedra kybernetiky

Publikační činnost 2019

Články v časopisech WoS

VONÁSEK, V. et al. Sampling-Based Motion Planning for Tracking Evolution of Dynamic Tunnels in Molecular Dynamics Simulations. Journal of Intelligent and Robotic Systems. 2019, 93(3-4), 763-785. ISSN 0921-0296. DOI 10.1007/s10846-018-0877-6.

GERLA, V. et al. Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering. Journal of Neuroscience Methods. 2019, 317 61-70. ISSN 0165-0270. DOI 10.1016/j.jneumeth.2019.01.013.

SAIFUTDINOVA, E. et al. An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry. Sensors. 2019, 19(3), ISSN 1424-8220. DOI 10.3390/s19030602. Dostupné z: https://www.mdpi.com/1424-8220/19/3/602

MILERSKÁ, I. et al. Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder. Biomedical Signal Processing and Control. 2019, 51 243-252. ISSN 1746-8094. DOI 10.1016/j.bspc.2019.02.023.

ŠTĚPÁN, P. et al. Vision techniques for on-board detection, following and mapping of moving targets. Journal of Field Robotics. 2019, 36(1), 252-269. ISSN 1556-4959. DOI 10.1002/rob.21850.

Články v ostatních periodikách

ŠTĚPÁNOVÁ, K., T. PAJDLA a M. HOFFMANN. Robot Self-Calibration Using Multiple Kinematic Chains-A Simulation Study on the iCub Humanoid Robot. IEEE Robotics and Automation Letters. 2019, 4(2), 1900-1907. ISSN 2377-3766. DOI 10.1109/LRA.2019.2898320. Dostupné z: https://arxiv.org/abs/1805.07263

Stati ve sbornících konferencí

PIVOŇKA, T. et al. Visual Odometry for Vehicles’ Undercarriage 3D Modelling. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 111-120. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_9.

HUPTYCH, M., M. HRACHOVINA a L. LHOTSKÁ. Preprocessing of the BSPM Signals with Untraditionally Strong Baseline Wandering. In: LHOTSKÁ, L. et al., eds. World Congress on Medical Physics and Biomedical Engineering 2018 (Vol. 2). World Congress on Medical Physics and Biomedical Engineering 2018, Prague, 2018-06-03/2018-06-08. Springer Nature Singapore Pte Ltd., 2019. s. 463-467. IFMBE Proceedings. sv. 68/2. ISSN 1680-0737. ISBN 978-981-10-9037-0. DOI 10.1007/978-981-10-9038-7_86.

KONRÁD, J. Using sentiment detection on tweets to form opinions. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 196-197. 1. sv. 1. ISBN 978-80-01-06581-5.

ŠPETLÍK, R. a I. RAZUMENIĆ. Iris Verification with Convolutional Neural Network and Unit-Circle Layer. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 274-287. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_19.

TRUTMAN, P. et al. Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator. In: PGMO Days 2019. Programme Gaspard Monge - PGMO Days 2019, Paris-Saclay, 2019-12-03/2019-12-04. Paříž: EDF, 2019. s. 37. Dostupné z: https://www.fondation-hadamard.fr/sites/default/files/public/bibliotheque/PGMO/PGMO-2019-booklet.pdf

SPURNÝ, V. et al. Cooperative Transport of Large Objects by a Pair of Unmanned Aerial Systems using Sampling-based Motion Planning. In: 24th IEEE Conference on Emerging Technologies and Factory Automation. Zaragoza, 2019-09-10/2019-09-13. Piscataway, NJ: IEEE, 2019. s. 955-962. ISSN 1946-0759. ISBN 978-1-7281-0303-7. DOI 10.1109/ETFA.2019.8869298. Dostupné z: https://ieeexplore.ieee.org/document/8869298

CHUDOBA, J., V. KOZÁK a L. PŘEUČIL. MUAVET – An Experimental Test-Bed for Autonomous Multi-rotor Applications. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. s. 16-26. LNCS. sv. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_2.

PICHL, J. Entity Recognition Using Contextual Embeddings. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 183-184. 1. sv. 1. ISBN 978-80-01-06581-5.

KUŽÍLEK, J. et al. Analysing Student VLE Behaviour Intensity and Performance. In: Transforming Learning with Meaningful Technologies. FOURTEENTH EUROPEAN CONFERENCE ON TECHNOLOGY ENHANCED LEARNING, Delft, 2019-09-16/2019-09-19. Cham: Springer, 2019. s. 587-590. LNCS. sv. 11722. ISSN 0302-9743. ISBN 978-3-030-29735-0. DOI 10.1007/978-3-030-29736-7_45.

LISTÍK, V. CNN based near-duplicate image detection used for email spam detection. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. 1. sv. 1. ISBN 978-80-01-06581-5.

GRIMOVÁ, N. a M. MACAŠ. Query-By-Committee Framework Used for Semi-Automatic Sleep Stages Classification. In: Proceedings of 13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019. 13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence (UCAmI) 2019, Toledo, 2019-12-02/2019-12-05. Basel: Multidisciplinary Digital Publishing Institute (MDPI AG), 2019. ISSN 2504-3900. DOI 10.3390/proceedings2019031080. Dostupné z: https://www.mdpi.com/2504-3900/31/1/80

MILERSKÁ, I. et al. Representation of Joint Patterns in HD SEMG: A Case Study. In: Proceedings of 13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019. 13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence (UCAmI) 2019, Toledo, 2019-12-02/2019-12-05. Basel: Multidisciplinary Digital Publishing Institute (MDPI AG), 2019. ISSN 2504-3900. DOI 10.3390/proceedings2019031045. Dostupné z: https://www.mdpi.com/2504-3900/31/1/45

SURÁK, M. et al. Visual Data Simulation for Deep Learning in Robot Manipulation Tasks. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 402-411. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_29.

MAREK, P. Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 160-163. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/

SAITI, K. et al. A Combined-Predictor Approach to Glycaemia Prediction for Type 1 Diabetes. In: LHOTSKÁ, L. et al., eds. World Congress on Medical Physics and Biomedical Engineering 2018 (Vol. 3). World Congress on Medical Physics and Biomedical Engineering 2018, Prague, 2018-06-03/2018-06-08. Springer Nature Singapore Pte Ltd., 2019. s. 753-756. IFMBE Proceedings. sv. 68/3. ISSN 1680-0737. ISBN 978-981-10-9022-6. DOI 10.1007/978-981-10-9023-3_136.

UŘIČÁŘ, M. et al. Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 4273-4279. ISSN 2473-9944. ISBN 978-1-7281-5023-9. DOI 10.1109/ICCVW.2019.00526. Dostupné z: http://openaccess.thecvf.com/content_ICCVW_2019/html/AUTONUE/Uricar_Desoiling_Dataset_Restoring_Soiled_Areas_on_Automotive_Fisheye_Cameras_ICCVW_2019_paper.html

LISTÍK, V. et al. Phishing Email Detection based on Named Entity Recognition. In: Proceedings of the 5th International Conference on Information Systems Security and Privacy. 5th International Conference on Information Systems Security and Privacy, Praha, 2019-02-23/2019-02-25. Madeira: SciTePress, 2019. s. 252-256. ISBN 978-989-758-359-9. DOI 10.5220/0007314202520256.

ŠEJNOVÁ, G. a M. VAVREČKA. Modulární neuronové sítě: metody zvyšující robustnost sémantického popisu scény. In: Kognícia a umelý život 2019. Hotel Barónka, Bratislava, 2019-05-29/2019-05-31. Univerzita Komenského v Bratislave, 2019. s. 114-115. ISBN 978-80-223-4720-4. Dostupné z: http://cogsci.fmph.uniba.sk/kuz2019/files/zbornik.KUZ2019.pdf

PIVOŇKA, T. Automatic Test of Visual Feature Detectors and Descriptors for Visual Odometry. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf

ŠEJNOVÁ, G. et al. Exploring logical consistency and viewport sensitivity in compositional VQA models. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. s. 2108-2113. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8967758. Dostupné z: https://ieeexplore.ieee.org/abstract/document/8967758

HUPTYCH, M. et al. Electronic delivery book: structured database enables analysis of perinatal risk factors. In: LHOTSKÁ, L. et al., eds. World Congress on Medical Physics and Biomedical Engineering 2018 (Vol. 1). World Congress on Medical Physics and Biomedical Engineering 2018, Prague, 2018-06-03/2018-06-08. Springer Nature Singapore Pte Ltd., 2019. s. 427-431. IFMBE Proceedings. sv. 68/1. ISSN 1680-0737. ISBN 978-981-10-9034-9. DOI 10.1007/978-981-10-9035-6_79.

PETRLÍK, M., V. VONÁSEK a M. SASKA. Coverage Optimization in the Cooperative Surveillance Task using Multiple Micro Aerial Vehicles. In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). Bari, 2019-10-06/2019-10-09. Piscataway: IEEE, 2019. s. 4373-4380. 1. sv. 1. ISSN 2577-1655. ISBN 978-1-7281-4569-3. DOI 10.1109/SMC.2019.8914330.

Nepublikované přednášky

MATULÍK, M. et al. Edutainment Software For The Pepper Robot. [Nepublikovaná přednáška] HKSRA (Hongkong Sociaty and Robotics & Automomation). 2019-11-22.

13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2019

Články v časopisech WoS

MUKUNDAN, A. et al. Understanding and Improving Kernel Local Descriptors. International Journal of Computer Vision. 2019, 127(11-12), 1723-1737. ISSN 0920-5691. DOI 10.1007/s11263-018-1137-8.

FU, J. et al. Performance analysis of single-query 6-DoF camera pose estimation in self-driving setups. Computer Vision and Image Understanding. 2019, 186 58-73. ISSN 1077-3142. DOI 10.1016/j.cviu.2019.04.009.

SIMEONI, O. et al. Graph-based particular object discovery. Machine Vision and Applications. 2019, 30(2), 243-254. ISSN 0932-8092. DOI 10.1007/s00138-019-01005-z.

CHEN, K. et al. Cumulative attribute space regression for head pose estimation and color constancy. Pattern recognition. 2019, 87 29-37. ISSN 0031-3203. DOI 10.1016/j.patcog.2018.10.015.

RADENOVIĆ, F., G. TOLIAS a O. CHUM. Fine-tuning CNN Image Retrieval with No Human Annotation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019, 41(7), 1655-1668. ISSN 0162-8828. DOI 10.1109/TPAMI.2018.2846566.

Knihy, kapitoly v knihách, skripta, sborníky

NAISER, F. a M. LEVY. Machine Learning at the Edge. In: OSHANA, R. a M. KRAELING, eds. Software Engineering for Embedded Systems. New York: Elsevier B.V., 2019. s. 549-601. ISBN 978-0-12-809448-8. DOI 10.1016/C2015-0-06188-3.

Stati ve sbornících konferencí

ŠPETLÍK, R. a I. RAZUMENIĆ. Iris Verification with Convolutional Neural Network and Unit-Circle Layer. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 274-287. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_19.

ŠULC, M. a J. MATAS. Improving CNN classifiers by estimating test-time priors. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 3220-3226. ISSN 2473-9944. DOI 10.1109/ICCVW.2019.00402. Dostupné z: http://openaccess.thecvf.com/content_ICCVW_2019/papers/TASK-CV/Sulc_Improving_CNN_Classifiers_by_Estimating_Test-Time_Priors_ICCVW_2019_paper.pdf

KOTERA, J. et al. Intra-frame Object Tracking by Deblatting. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 2300-2309. ISSN 2473-9944. DOI 10.1109/ICCVW.2019.00283.

KART, U., J.-K. KÄMÄRÄINEN a J. MATAS. How to make an RGBD tracker?. In: Computer Vision – ECCV 2018 Workshops. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Basel: Springer, 2019. s. 148-161. Lecture Notes in Computer Science. sv. 11129. ISSN 0302-9743. ISBN 978-3-030-11008-6. DOI 10.1007/978-3-030-11009-3_8.

ROZUMNYI, D. et al. Learned Semantic Multi-Sensor Depth Map Fusion. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 2089-2099. ISSN 2473-9944. DOI 10.1109/ICCVW.2019.00264.

BARÁTH, D., J. MATAS a J. NOSKOVÁ. MAGSAC: Marginalizing Sample Consensus. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 10189-10197. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.01044. Dostupné z: https://ieeexplore.ieee.org/document/8953287

BUŠTA, M., Y. PATEL a J. MATAS. E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text. In: ACCVW 2018: Proceedings of the 14th Asian Conference on Computer Vision Workshops. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 127-143. LNCS. sv. 11367. ISSN 0302-9743. ISBN 978-3-030-21073-1. DOI 10.1007/978-3-030-21074-8_11.

TOLIAS, G., F. RADENOVIĆ a O. CHUM. Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 5036-5045. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00514.

JENÍČEK, T. a O. CHUM. No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 9695-9703. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00979.

PRITTS, J. et al. Rectification from Radially-Distorted Scales. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part V. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 36-52. LNCS. sv. 11365. ISSN 0302-9743. ISBN 978-3-030-20872-1. DOI 10.1007/978-3-030-20873-8_3.

PULTAR, M., D. MISHKIN a J. MATAS. Leveraging Outdoor Webcams for Local Descriptor Learning. In: Proceedings of the 24th Computer Vision Winter Workshop. CVWW2019: Computer Vision Winter Workshop, Stift Vorau, 2019-02-06/2019-02-08. Graz: Verlag der TU Graz, 2019. s. 51-60. ISBN 978-3-85125-652-9. DOI 10.3217/978-3-85125-652-9-06. Dostupné z: http://diglib.tugraz.at/download.php?id=5c5941d91cdd5&location=medra

NEORAL, M., J. ŠOCHMAN a J. MATAS. Continual Occlusion and Optical Flow Estimation. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part IV. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 159-174. LNCS. sv. 11364. ISSN 0302-9743. ISBN 978-3-030-20869-1. DOI 10.1007/978-3-030-20870-7_10.

KÚKELOVÁ, Z. a V. LARSSON. Radial Distortion Triangulation. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 9673-9681. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00991. Dostupné z: http://openaccess.thecvf.com/content_CVPR_2019/html/Kukelova_Radial_Distortion_Triangulation_CVPR_2019_paper.html

BARÁTH, D. a J. MATAS. Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 3779-3787. ISSN 1550-5499. ISBN 978-1-7281-4804-5. DOI 10.1109/ICCV.2019.00388.

LARSSON, V. et al. Revisiting Radial Distortion Absolute Pose. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 1062-1071. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00115. Dostupné z: http://openaccess.thecvf.com/content_ICCV_2019/html/Larsson_Revisiting_Radial_Distortion_Absolute_Pose_ICCV_2019_paper.html

QIAN, Y. et al. Revisiting gray pixel for statistical illumination estimation. In: VISAPP2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 5. 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Praha, 2019-02-25/2019-02-27. Porto: SciTePress - Science and Technology Publications, 2019. s. 36-46. ISBN 978-989-758-354-4. DOI 10.5220/0007406900360046. Dostupné z: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007406900360046

ŠERÝCH, J. a J. MATAS. Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 317-330. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_22.

ISCEN, A. et al. Label Propagation for Deep Semi-supervised Learning. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 5065-5074. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00521. Dostupné z: https://ieeexplore.ieee.org/document/8954421

HODAŇ, T. et al. A Summary of the 4th International Workshop on Recovering 6D Object Pose. In: Computer Vision – ECCV 2018 Workshops. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Basel: Springer, 2019. s. 589-600. Lecture Notes in Computer Science. sv. 11129. ISSN 0302-9743. ISBN 978-3-030-11009-3. DOI 10.1007/978-3-030-11009-3_36. Dostupné z: https://arxiv.org/pdf/1810.03758.pdf

KRÁLÍČEK, J., J. MATAS a M. BUŠTA. Care Label Recognition. In: ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition. ICDAR2019: 15th IAPR International Conference on Document Analysis and Recognition, Sydney, 2019-09-20/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 959-966. ISSN 1520-5363. ISBN 978-1-7281-3015-6. DOI 10.1109/ICDAR.2019.00158.

SHEKHOVTSOV, O. a B. FLACH. Stochastic Normalizations as Bayesian Learning. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 463-479. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_30.

LUKEŽIČ, A. et al. FuCoLoT – A Fully-Correlational Long-Term Tracker. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 595-611. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_38.

KRISTAN, M. et al. The sixth visual object tracking VOT2018 challenge results. In: Computer Vision – ECCV 2018 Workshops. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Basel: Springer, 2019. s. 3-53. Lecture Notes in Computer Science. sv. 11129. ISSN 0302-9743. ISBN 978-3-030-11008-6. DOI 10.1007/978-3-030-11009-3_1.

MUSTANIEMI, J. et al. Gyroscope-Aided Motion Deblurring with Deep Networks. In: 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION. WACV2019: 19th IEEE Winter Conference on Applications of Computer Vision, Waikoloa Village, 2019-01-07/2019-01-11. NEW YORK, NY: IEEE, 2019. s. 1914-1922. IEEE Winter Conference on Applications of Computer Vision. ISSN 2472-6737. ISBN 978-1-7281-1975-5. DOI 10.1109/WACV.2019.00208.

MUKUNDAN, A., G. TOLIAS a O. CHUM. Explicit Spatial Encoding for Deep Local Descriptors. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 9386-9395. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00962. Dostupné z: https://ieeexplore.ieee.org/document/8954243/keywords#keywords

SHEKHOVTSOV, O. a B. FLACH. Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. In: International Conference on Learning Representations. New Orleans, Ernest N. Morial Convention Center, 2019-05-06/2019-06-09. Massachusetts: OpenReview.net / University of Massachusetts, 2019. Dostupné z: https://openreview.net/forum?id=SkMuPjRcKQ

ROZUMNYI, D. et al. Non-causal Tracking by Deblatting. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 122-135. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_9.

PICEK, L., M. ŠULC a J. MATAS. Recognition of the Amazonian Flora by Inception Networks with Test-time Class Prior Estimation - CMP submission to PlantCLEF 2019. In: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum. CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, 2019-09-09/2019-09-12. CEUR-WS.org, 2019. sv. 2380. ISSN 1613-0073. Dostupné z: http://ceur-ws.org/Vol-2380/

SIMEONI, O., Y. AVRITHIS a O. CHUM. Local Features and Visual Words Emerge in Activations. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 11643-11652. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.01192. Dostupné z: https://ieeexplore.ieee.org/document/8954470/keywords#keywords

JENÍČEK, T. a O. CHUM. Linking Art through Human Poses. In: ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition. ICDAR2019: 15th IAPR International Conference on Document Analysis and Recognition, Sydney, 2019-09-20/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 1338-1345. ISSN 1520-5363. ISBN 978-1-7281-3015-6. DOI 10.1109/ICDAR.2019.00216.

BARÁTH, D. a Z. KÚKELOVÁ. Homography From Two Orientation- and Scale-Covariant Features. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 1091-1099. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00118. Dostupné z: http://openaccess.thecvf.com/content_ICCV_2019/html/Barath_Homography_From_Two_Orientation-_and_Scale-Covariant_Features_ICCV_2019_paper.html

LUKEŽIČ, A. et al. CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 10012-10021. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.01011.

KART, U. et al. Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 1339-1348. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00143. Dostupné z: https://ieeexplore.ieee.org/document/8953557/keywords#keywords

QIAN, Y. et al. On Finding Gray Pixels. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 8054-8062. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00825. Dostupné z: https://ieeexplore.ieee.org/document/8954324/keywords#keywords

KÚKELOVÁ, Z. et al. Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part III. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 265-280. LNCS. sv. 11363. ISSN 0302-9743. ISBN 978-3-030-20892-9. DOI 10.1007/978-3-030-20893-6_17.

NAYEF, N. et al. ICDAR2019 Robust Reading Challenge onMulti-lingual Scene Text Detection and Recognition– RRC-MLT-2019. In: ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition. ICDAR2019: 15th IAPR International Conference on Document Analysis and Recognition, Sydney, 2019-09-20/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 1582-1587. ISSN 1520-5363. ISBN 978-1-7281-3015-6. DOI 10.1109/ICDAR.2019.00254.

ISCEN, A. et al. Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 301-316. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_20.

QIAN, Y. et al. Flash Lightens Gray Pixels. In: 2019 IEEE International Conference on Image Processing (ICIP). Taipei, 2019-09-22/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 4604-4608. ISSN 2381-8549. ISBN 978-1-5386-6249-6. DOI 10.1109/ICIP.2019.8803468. Dostupné z: https://ieeexplore.ieee.org/document/8803468

HODAŇ, T. et al. Photorealistic Image Synthesis for Object Instance Detection. In: 2019 IEEE International Conference on Image Processing (ICIP). Taipei, 2019-09-22/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 66-70. ISSN 2381-8549. ISBN 978-1-5386-6249-6. DOI 10.1109/ICIP.2019.8803821. Dostupné z: https://arxiv.org/abs/1902.03334

Nepublikované přednášky

ŠULC, M. a J. MATAS. Improving fine-grained CNN classifiers by estimating test-time priors. [Nepublikovaná přednáška] Joni Kämäräinen / Computer Vision Group, Tampere University. 2019-08-14.

ŠULC, M. a J. MATAS. Improving CNN classifiers by estimating test-time priors. [Nepublikovaná přednáška] 2019-02-08.

13133 / 13164 - vidění pro roboty a autonomní systémy

Publikační činnost 2019

Články v časopisech WoS

CHINN, L.K. et al. Development of Infant Reaching Strategies to Tactile Targets on the Face. Frontiers in Psychology. 2019, 10 ISSN 1664-1078. DOI 10.3389/fpsyg.2019.00009. Dostupné z: https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00009/abstract

CHINN, L.K. et al. Reaching with one arm to the other: Coordinating touch, proprioception, and action during infancy. Journal of Experimental Child Psychology. 2019, 183 19-32. ISSN 0022-0965. DOI 10.1016/j.jecp.2019.01.014.

TANIGUCHI, T. et al. Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Transactions on Cognitive and Developmental Systems. 2019, 11(4), 494-516. ISSN 2379-8920. DOI 10.1109/TCDS.2018.2867772.

PETŘÍČEK, T. et al. Simultaneous exploration and segmentation for search and rescue. Journal of Field Robotics. 2019, 36(4), 696-709. ISSN 1556-4959. DOI 10.1002/rob.21847.

KUBELKA, V., M. REINŠTEIN a T. SVOBODA. Tracked Robot Odometry for Obstacle Traversal in Sensory Deprived Environment. IEEE-ASME TRANSACTIONS ON MECHATRONICS. 2019, 24(6), 2745-2755. ISSN 1083-4435. DOI 10.1109/TMECH.2019.2945031.

Články v ostatních periodikách

ŠTĚPÁNOVÁ, K., T. PAJDLA a M. HOFFMANN. Robot Self-Calibration Using Multiple Kinematic Chains-A Simulation Study on the iCub Humanoid Robot. IEEE Robotics and Automation Letters. 2019, 4(2), 1900-1907. ISSN 2377-3766. DOI 10.1109/LRA.2019.2898320. Dostupné z: https://arxiv.org/abs/1805.07263

Stati ve sbornících konferencí

NGUYEN, P.D.H. et al. Reaching development through visuo-proprioceptive-tactile integration on a humanoid robot - A deep learning approach. In: Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Oslo, 2019-08-19/2019-08-22. Anchorage, Alaska: IEEE, 2019. s. 163-170. ISSN 2161-9484. ISBN 978-1-5386-8128-2. DOI 10.1109/DEVLRN.2019.8850681.

ŠVARNÝ, P. a M. HOFFMANN. Jak číst standard(y) a něco si z toho vzít. In: Kognícia a umelý život 2019. Hotel Barónka, Bratislava, 2019-05-29/2019-05-31. Univerzita Komenského v Bratislave, 2019. s. 116-118. ISBN 978-80-223-4720-4. Dostupné z: http://cogsci.fmph.uniba.sk/kuz2019/

GAMA, F. a M. HOFFMANN. The homunculus for proprioception: Toward learning the representation of a humanoid robot's joint space using self-organizing maps. In: Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Oslo, 2019-08-19/2019-08-22. Anchorage, Alaska: IEEE, 2019. s. 113-114. ISBN 978-1-5386-8128-2. Dostupné z: https://arxiv.org/abs/1909.02295

STRAKA, Z. a M. HOFFMANN. Learning a peripersonal space representation using Conditional Restricted Boltzmann Machine. In: Kognícia a umelý život 2019. Hotel Barónka, Bratislava, 2019-05-29/2019-05-31. Univerzita Komenského v Bratislave, 2019. s. 104-105. ISBN 978-80-223-4720-4. Dostupné z: http://cogsci.fmph.uniba.sk/kuz2019/files/zbornik/straka-hoffmann.pdf

CVRČEK, V. a R. ŠÁRA. Detection and certification of faint streaks in astronomical images. In: VISAPP2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 5. 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Praha, 2019-02-25/2019-02-27. Porto: SciTePress - Science and Technology Publications, 2019. s. 498-509. ISBN 978-989-758-354-4. DOI 10.5220/0007399804980509.

ŠVARNÝ, P. et al. Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. s. 7580-7587. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8968463. Dostupné z: https://ieeexplore.ieee.org/document/8968463

ZARDYKHAN, D. et al. Collision Preventing Phase-Progress Control for Velocity Adaptation in Human-Robot Collaboration. In: 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids). Humanoid Robots (Humanoids), 2019 IEEE-RAS 19th International Conference on, Toronto, 2019-10-15/2019-10-17. Piscataway, NJ: IEEE, 2019. s. 266-273. ISSN 2164-0580. ISBN 978-1-5386-7629-5. DOI 10.1109/Humanoids43949.2019.9035065. Dostupné z: https://ieeexplore.ieee.org/document/9035065

Nepublikované přednášky

HOFFMANN, M. Whole-body awareness for safe and natural interaction: from brains to collaborative robots. [Nepublikovaná přednáška] Prof. Sami Haddani, TU Munich. 2019-04-26.

HOFFMANN, M. Whole-body awareness for safe and natural interaction: from brains to collaborative robots. [Nepublikovaná přednáška] Laboratory of Molecular Biology. 2019-07-12.

HOFFMANN, M. Development of reaching to the body in early infancy: From experiments to robotic models. [Nepublikovaná přednáška] Dr. Gianluca Baldassare. 2019-07-03.

HOFFMANN, M. Whole-body awareness for safe and natural interaction: from brains to collaborative robots. [Nepublikovaná přednáška] Prof. Giorgio Metta, Italian Institute of Technology. 2019-04-09.

13133 / 13166 - analýza a interpretace biomedicínských dat

Publikační činnost 2019

Články v časopisech WoS

FARKOVA, E. et al. Weight loss in conservative treatment of obesity in women is associated with physical activity and circadian phenotype: a longitudinal observational study. BioPsychoSocial Medicine. 2019, 13(1), ISSN 1751-0759. DOI 10.1186/s13030-019-0163-2. Dostupné z: https://link.springer.com/article/10.1186/s13030-019-0163-2

HANZLÍKOVÁ, Z. et al. Prepulse Inhibition of the Blink Reflex Is Abnormal in Functional Movement Disorders. MOVEMENT DISORDERS. 2019, 34(7), 1022-1030. ISSN 0885-3185. DOI 10.1002/mds.27706.

KLEMPÍŘ, O. et al. Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach. Measurement Science Review. 2019, 19(5), 222-231. ISSN 1335-8871. DOI 10.2478/msr-2019-0029.

CUESTA-FRAU, D. et al. Influence of duodenal-jejunal implantation on glucose dynamics: A pilot study using different nonlinear methods. Complexity. 2019, 2019 ISSN 1076-2787. DOI 10.1155/2019/6070518.

ŽEGKLITZ, J. a P. POŠÍK. Symbolic regression in dynamic scenarios with gradually changing targets. Applied Soft Computing. 2019, 2019(83), ISSN 1568-4946. DOI 10.1016/j.asoc.2019.105621.

HANUŠKA, J. et al. Eye movements in idiopathic rapid eye movement sleep behaviour disorder: High antisaccade error rate reflects prefrontal cortex dysfunction. Journal of Sleep Research. 2019, 28(5), ISSN 0962-1105. DOI 10.1111/jsr.12742.

SERRANOVÁ, T. et al. Topography of emotional valence and arousal within the motor part of the subthalamic nucleus in Parkinson's. Scientific Reports. 2019, 9(1), ISSN 2045-2322. DOI 10.1038/s41598-019-56260-x. Dostupné z: https://www.nature.com/articles/s41598-019-56260-x

FIŠEROVÁ, J. et al. Nuclear pore protein TPR associates with lamin B1 and affects nuclear lamina organization and nuclear pore distribution. Cellular and Molecular Life Sciences. 2019, 76(11), 2199-2216. ISSN 1420-682X. DOI 10.1007/s00018-019-03037-0.

Stati ve sbornících konferencí

ANÝŽ, J. et al. Examination of the Spatial Structure of Pigs' Melanoma in Tissue Sections Based on Histology and Mass Spectrometry. In: LHOTSKÁ, L. et al., eds. World Congress on Medical Physics and Biomedical Engineering 2018 (Vol. 1). World Congress on Medical Physics and Biomedical Engineering 2018, Prague, 2018-06-03/2018-06-08. Springer Nature Singapore Pte Ltd., 2019. s. 255-259. IFMBE Proceedings. sv. 68/1. ISSN 1680-0737. ISBN 978-981-10-9034-9. DOI 10.1007/978-981-10-9035-6_46.

ALIBEKOV, E., J. KUBALÍK a R. BABUŠKA. Proxy Functions for Approximate Reinforcement Learning. In: IFAC-PapersOnLine - 5th IFAC Conference on Intelligent Control and Automation Sciences ICONS 2019. 5th IFAC Conference on Intelligent Control and Automation Sciences, Belfast, 2019-08-21/2019-08-23. Lausanne: Elsevier, 2019. s. 224-229. ISSN 2405-8963. DOI 10.1016/j.ifacol.2019.09.145. Dostupné z: https://www.sciencedirect.com/science/article/pii/S240589631930775X

NĚMÝ, M. et al. Probabilistic Fiber-tracking of the Human Cholinergic System. In: World Congress on Medical Physics and Biomedical Engineering Book of Abstracts. World Congress on Medical Physics and Biomedical Engineering 2018, Prague, 2018-06-03/2018-06-08. Rio de Janeiro: International Organization for Medical Physics, 2018. Dostupné z: http://www.iupesm2018.org/

BAKŠTEIN, E. et al. Automated atlas fitting for deep brain stimulation surgery based on microelectrode neuronal recordings. In: LHOTSKÁ, L. et al., eds. World Congress on Medical Physics and Biomedical Engineering 2018 (Vol. 3). World Congress on Medical Physics and Biomedical Engineering 2018, Prague, 2018-06-03/2018-06-08. Springer Nature Singapore Pte Ltd., 2019. s. 105-111. IFMBE Proceedings. sv. 68/3. ISSN 1680-0737. ISBN 978-981-10-9022-6. DOI 10.1007/978-981-10-9023-3_19.

NĚMÝ, M. et al. Cholinergic white matter pathways, cerebrovascular disease, and cognition in normal aging. In: Alzheimer's & Parkinson's Diseases Congress Book of Abstracts. The 14th International Conference on Alzheimer's & Parkinson's Diseases, Lisbon, 2019-03-26/2019-03-31. Geneva: AD/PD 2019 Kenes International Organizers of Congresses S.A., 2019.

FARKOVÁ, E. et al. Objectivization of chrono-biological parameters using actigraphy. In: CHOKROVERTY, S., ed. Sleep Medicine - World Sleep 2019. World Sleep 2019, Vancouver, 2019-09-20/2019-09-25. New Orleans: Elsevier, 2019. s. 110. sv. 64. ISSN 1389-9457. DOI 10.1016/j.sleep.2019.11.301.

Nepublikované přednášky

NOVÁK, P. Asistivní a medicínské technologie a pomůcky. [Nepublikovaná přednáška] Katedra elektrotechniky a automatizace. 2019-03-20.

13133 / 13167 - multirobotické systémy

Publikační činnost 2019

Články v časopisech WoS

VONÁSEK, V. et al. Sampling-Based Motion Planning for Tracking Evolution of Dynamic Tunnels in Molecular Dynamics Simulations. Journal of Intelligent and Robotic Systems. 2019, 93(3-4), 763-785. ISSN 0921-0296. DOI 10.1007/s10846-018-0877-6.

PĚNIČKA, R., J. FAIGL a M. SASKA. Variable Neighborhood Search for the Set Orienteering Problem and its application to other Orienteering Problem variants. European Journal of Operational Research. 2019, 276(3), 816-825. ISSN 0377-2217. DOI 10.1016/j.ejor.2019.01.047.

DÁNIEL, V. et al. In-Orbit Commissioning of Czech Nanosatellite VZLUSAT-1 for the QB50 Mission with a Demonstrator of a Miniaturised Lobster-Eye X-Ray Telescope and Radiation Shielding Composite Materials. Space Science Reviews. 2019, 215 ISSN 0038-6308. DOI 10.1007/s11214-019-0589-7.

PĚNIČKA, R. et al. Data Collection Planning with Non-zero Sensing Distance for a Budget and Curvature Constrained Unmanned Aerial Vehicle. Autonomous Robots. 2019, 43(8), 1937-1956. ISSN 0929-5593. DOI 10.1007/s10514-019-09844-5.

PEREIRA DO NASCIMENTO, T. a M. SASKA. Position and attitude control of multi-rotor aerial vehicles: A survey. Annual Reviews in Control. 2019, 48 129-146. ISSN 1367-5788. DOI 10.1016/j.arcontrol.2019.08.004.

GIERNACKI, W. et al. Real-time model-free minimum-seeking autotuning method for unmanned aerial vehicle controllers based on fibonacci-search algorithm. Sensors. 2019, 19(2), ISSN 1424-8220. DOI 10.3390/s19020312. Dostupné z: https://www.mdpi.com/1424-8220/19/2/312

BÁČA, T. et al. Autonomous landing on a moving vehicle with an unmanned aerial vehicle. Journal of Field Robotics. 2019, 36(5), 874-891. ISSN 1556-4959. DOI 10.1002/rob.21858.

FAIGL, J. et al. Unsupervised learning‐based flexible framework for surveillance planning with aerial vehicles. Journal of Field Robotics. 2019, 36(1), 270-301. ISSN 1556-4959. DOI 10.1002/rob.21823.

SPURNÝ, V. et al. Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles. Journal of Field Robotics. 2019, 36(1), 125-148. ISSN 1556-4959. DOI 10.1002/rob.21816.

ŠTĚPÁN, P. et al. Vision techniques for on-board detection, following and mapping of moving targets. Journal of Field Robotics. 2019, 36(1), 252-269. ISSN 1556-4959. DOI 10.1002/rob.21850.

Články v ostatních periodikách

PĚNIČKA, R., J. FAIGL a M. SASKA. Physical Orienteering Problem for Unmanned Aerial Vehicle Data Collection Planning in Environments with Obstacles. IEEE Robotics and Automation Letters. 2019, 4(3), 3005-3012. ISSN 2377-3766. DOI 10.1109/LRA.2019.2923949. Dostupné z: https://ieeexplore.ieee.org/document/8741059

WALTER, V. et al. UVDAR System for Visual Relative Localization with application to Leader-Follower Formations of Multirotor UAVs. IEEE Robotics and Automation Letters. 2019, 4(3), 2637-2644. ISSN 2377-3766. DOI 10.1109/LRA.2019.2901683. Dostupné z: https://ieeexplore.ieee.org/document/8651535

VRBA, M., D. HEŘT a M. SASKA. Onboard Marker-Less Detection and Localization of Non-Cooperating Drones for Their Safe Interception by an Autonomous Aerial System. IEEE Robotics and Automation Letters. 2019, 4(4), 3402-3409. ISSN 2377-3766. DOI 10.1109/LRA.2019.2927130. Dostupné z: https://ieeexplore.ieee.org/document/8756100

Stati ve sbornících konferencí

DUBEŇ, A., R. PĚNIČKA a M. SASKA. Information gathering planning with Hermite spline motion primitives for aerial vehicles with limited time of flight. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 172-201. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_15.

FURMANOVÁ, K. et al. DockVis: Visual Analysis of Molecular Docking Data. In: Eurographics Workshop on Visual Computing for Biology and Medicine. Eurographics Workshop on Visual Computing for Biology and Medicine, Brno, 2019-09-04/2019-09-06. Heraklion: The Eurographics Association, 2019. s. 113-122. ISSN 2070-5786. ISBN 978-3-03868-081-9. DOI 10.2312/vcbm.20191238. Dostupné z: https://diglib.eg.org/handle/10.2312/vcbm20191238

SPURNÝ, V. et al. Cooperative Transport of Large Objects by a Pair of Unmanned Aerial Systems using Sampling-based Motion Planning. In: 24th IEEE Conference on Emerging Technologies and Factory Automation. Zaragoza, 2019-09-10/2019-09-13. Piscataway, NJ: IEEE, 2019. s. 955-962. ISSN 1946-0759. ISBN 978-1-7281-0303-7. DOI 10.1109/ETFA.2019.8869298. Dostupné z: https://ieeexplore.ieee.org/document/8869298

ZAHRÁDKA, D., R. PĚNIČKA a M. SASKA. Route planning for teams of unmanned aerial vehicles using Dubins vehicle model with budget constraint. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 365-389. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_27.

JEŠKE, P., Š. KLOUČEK a M. SASKA. Autonomous compact monitoring of large areas using micro aerial vehicles with limited sensory information and computational resources. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 158-171. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_14.

VONÁSEK, V. a R. PĚNIČKA. Sampling-based motion planning of 3D solid objects guided by multiple approximate solutions. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. s. 1480-1487. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8968578. Dostupné z: https://ieeexplore.ieee.org/document/8968578

PÍNA, L. et al. Multifoil optics for rocket experiments. In: HUDEC, R. a L. PÍNA, eds. EUV and X-ray Optics: Synergy between Laboratory and Space VI. SPIE OPTICS + OPTOELECTRONICS, EUV and X-ray Optics: Synergy between Laboratory and Space VI, Prague, 2019-04-01/2019-04-04. Bellingham: SPIE, 2019. ISSN 0277-786X. ISBN 9781510627307. DOI 10.1117/12.2525541.

FAIGL, J., P. VÁŇA a R. PĚNIČKA. Multi-Vehicle Close Enough Orienteering Problem with Bézier Curves for Multi-Rotor Aerial Vehicles. In: Proceedings of 2019 International Conference on Robotics and Automation. 2019 IEEE International Conference on Robotics and Automation, Montreal, 2019-05-20/2019-05-24. IEEE Xplore, 2019. s. 3039-3044. ISSN 1050-4729. ISBN 978-1-5386-6026-3. DOI 10.1109/ICRA.2019.8794339. Dostupné z: https://ieeexplore.ieee.org/document/8794339

PRITZL, V. et al. Real-Time Localization of Transmission Sources by a Formation of Helicopters Equipped with a Rotating Directional Antenna. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 335-350. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_25.

DÁNIEL, V. et al. REX le X-ray telescope experiment overview. In: HUDEC, R. a L. PÍNA, eds. EUV and X-ray Optics: Synergy between Laboratory and Space VI. SPIE OPTICS + OPTOELECTRONICS, EUV and X-ray Optics: Synergy between Laboratory and Space VI, Prague, 2019-04-01/2019-04-04. Bellingham: SPIE, 2019. ISSN 0277-786X. ISBN 9781510627307. DOI 10.1117/12.2527288.

JURČÍK, A. et al. Visual Analysis of Ligand Trajectories in Molecular Dynamics. In: 2019 IEEE Pacific Visualization Symposium (PacificVis). Bangkok, 2019-04-23/2019-04-26. Piscataway, NJ: IEEE, 2019. s. 212-221. ISSN 2165-8773. ISBN 978-1-5386-9226-4. DOI 10.1109/PacificVis.2019.00032. Dostupné z: https://ieeexplore.ieee.org/document/8781566

VONÁSEK, V. a R. PĚNIČKA. Space-filling forest for multi-goal path planning. In: 24th IEEE Conference on Emerging Technologies and Factory Automation. Zaragoza, 2019-09-10/2019-09-13. Piscataway, NJ: IEEE, 2019. s. 1587-1590. ISSN 1946-0759. ISBN 978-1-7281-0303-7. DOI 10.1109/ETFA.2019.8869521. Dostupné z: https://ieeexplore.ieee.org/document/8869521

VRBA, M. et al. Real-time Localization of Transmission Sources Using a Formation of Micro Aerial Vehicles. In: Proceedings of 2019 International Conference on Real-time Computing and Robotics. 2019 IEEE International Conference on Real-time Computing and Robotics, Irkutsk, 2019-08-04/2019-08-09. IEEE (Institute of Electrical and Electronics Engineers), 2019. s. 203-208. ISBN 978-1-7281-3726-1. DOI 10.1109/RCAR47638.2019.9043942. Dostupné z: https://ieeexplore.ieee.org/document/9043942

VONÁSEK, V., R. PĚNIČKA a B. KOZLÍKOVÁ. Computing multiple guiding paths for sampling-based motion planning. In: ICAR2019: Proceedings of the 19th International Conference on Advanced Robotics. 19th International Conference on Advanced Robotics, Belo Horizonte, 2019-12-02/2019-12-06. Piscataway (New Jersey): IEEE, 2019. s. 374-381. ISBN 978-1-7281-2467-4. DOI 10.1109/ICAR46387.2019.8981589.

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BÁČA, T. et al. Timepix Radiation Detector for Autonomous Radiation Localization and Mapping by Micro Unmanned Vehicles. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. s. 1129-1136. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8968514. Dostupné z: https://ieeexplore.ieee.org/document/8968514

VONÁSEK, V. a R. PĚNIČKA. Computation of Approximate Solutions for Guided Sampling-Based Motion Planning of 3D Objects. In: 12th International Workshop on Robot Motion and Control (RoMoCo). 12th International Workshop on Robot Motion and Control, Poznan, 2019-07-08/2019-07-10. Piscataway, NJ: IEEE, 2019. s. 231-238. ISSN 2575-5579. ISBN 978-1-7281-2975-4. DOI 10.1109/RoMoCo.2019.8787344.

PETRLÍK, M., V. VONÁSEK a M. SASKA. Coverage Optimization in the Cooperative Surveillance Task using Multiple Micro Aerial Vehicles. In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). Bari, 2019-10-06/2019-10-09. Piscataway: IEEE, 2019. s. 4373-4380. 1. sv. 1. ISSN 2577-1655. ISBN 978-1-7281-4569-3. DOI 10.1109/SMC.2019.8914330.

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Články v časopisech WoS

HARDING, J. et al. Boolean subalgebras of orthoalgebras. ORDER-A JOURNAL ON THE THEORY OF ORDERED SETS AND ITS APPLICATIONS. 2019, 36(3), 563-609. ISSN 0167-8094. DOI 10.1007/s11083-019-09483-6.

NAVARA, M. a J. ŠINDELÁŘ. Imperfect information as a source of non-symmetry in the two envelope problem. International Journal of Approximate Reasoning. 2019, 112 37-54. ISSN 0888-613X. DOI 10.1016/j.ijar.2019.05.011.

NAVARA, M. Formulas for generators of R-implications. Fuzzy Sets and Systems. 2019, 359 80-89. ISSN 0165-0114. DOI 10.1016/j.fss.2018.09.011.

PRŮŠA, D. a T. WERNER. Solving LP Relaxations of Some NP-Hard Problems Is As Hard As Solving Any Linear Program. SIAM JOURNAL ON OPTIMIZATION. 2019, 29(3), 1745-1771. ISSN 1052-6234. DOI 10.1137/17M1142922.

Články v ostatních periodikách

NAVARA, M. a V. NOVÁK. Dialogue between Mirko Navara and Vilem Novak. Mathware & Soft Computing. 2019, 26(1), 4-9.

Stati ve sbornících konferencí

FRANC, V. a D. PRŮŠA. On Discriminative Learning of Prediction Uncertainty. In: International Conference on Machine Learning. International Conference on Machine Learning, ICML 2019, Long Beach, 2019-06-10/2019-06-15. Proceedings of Machine Learning Research, 2019. s. 3465-3480. ISSN 2640-3498. ISBN 978-1-5108-8698-8.

NAVARA, M. a V. VORÁČEK. Minimizing quantum structures with small spaces of measures. In: DE BAETS, B. et al., eds. Book of Abstracts of the 11th Conference of the European Society for Fuzzy Logic and Technology. The 11th Conference of the European Society for Fuzzy Logic and Technology, Praha, 2019-09-09/2019-09-13. University of Ostrava, 2019. s. 65. ISBN 978-80-7599-110-2.

MRÁZ, F., D. PRŮŠA a M. WEHAR. Two-Dimensional Pattern Matching Against Basic Picture Languages. In: HOSPODÁR, M. a G. JIRÁSKOVÁ, eds. Implementation and Application of Automata. 24th International Conference on Implementation and Application of Automata, Košice, 2019-07-22/2019-07-25. Berlin, Heidelberg: Springer, 2019. s. 209-221. Lecture Notes in Computer Science. sv. 11601. ISSN 0302-9743. ISBN 978-3-030-23678-6. DOI 10.1007/978-3-030-23679-3_17.

NAVARA, M. a M. PETRÍK. Pseudocomplemented-like orthomodular posets. In: DE BAETS, B. et al., eds. Book of Abstracts of the 11th Conference of the European Society for Fuzzy Logic and Technology. The 11th Conference of the European Society for Fuzzy Logic and Technology, Praha, 2019-09-09/2019-09-13. University of Ostrava, 2019. s. 64-65. ISBN 978-80-7599-110-2.

SHEKHOVTSOV, O. a B. FLACH. Stochastic Normalizations as Bayesian Learning. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 463-479. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_30.

FUJIYOSHI, A. a D. PRŮŠA. A Simple Extension to Finite Tree Automata for Defining Sets of Labeled, Connected Graphs. In: HOSPODÁR, M. a G. JIRÁSKOVÁ, eds. Implementation and Application of Automata. 24th International Conference on Implementation and Application of Automata, Košice, 2019-07-22/2019-07-25. Berlin, Heidelberg: Springer, 2019. s. 121-132. Lecture Notes in Computer Science. sv. 11601. ISSN 0302-9743. ISBN 978-3-030-23678-6. DOI 10.1007/978-3-030-23679-3_10.

SHEKHOVTSOV, O. a B. FLACH. Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. In: International Conference on Learning Representations. New Orleans, Ernest N. Morial Convention Center, 2019-05-06/2019-06-09. Massachusetts: OpenReview.net / University of Massachusetts, 2019. Dostupné z: https://openreview.net/forum?id=SkMuPjRcKQ

13133 / 13169 - skupina znalostních softwarových systémů

Publikační činnost 2019

Články v časopisech WoS

LEDVINKA, M., A. LALIŠ a P. KŘEMEN. Toward Data-Driven Safety: An Ontology-Based Information System. Journal of Aerospace Information Systems. 2019, 16(1), 22-36. ISSN 1940-3151. DOI 10.2514/1.I010622.

KŘEMEN, P. a M. NEČASKÝ. Improving discoverability of Open Government Data with rich metadata descriptions using Semantic Government Vocabulary. Journal of Web Semantics. 2019, 55 1-20. ISSN 1570-8268. DOI 10.1016/j.websem.2018.12.009.

KUFNER, J. a R. MAŘÍK. Restful State Machines and SQL Database. IEEE Access. 2019, 7 144603-144617. ISSN 2169-3536. DOI 10.1109/ACCESS.2019.2944807. Dostupné z: https://ieeexplore.ieee.org/document/8853255

Stránka vytvořena 06.08.2020 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.