13000 / 13133 - katedra kybernetiky

Publikační činnost 2019

Články v časopisech WoS

VAN ERP, Theo G. M. et al. Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?. Biological Psychiatry. 2019, 85(7), E35-E39. ISSN 0006-3223. DOI 10.1016/j.biopsych.2018.10.003.

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.

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.

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.

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.

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

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

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.

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

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

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

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.

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.

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.

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

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/

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

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.

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.

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

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

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

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.

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.

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.

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.

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.

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.

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.

ŽEGKLITZ, J. a P. POŠÍK. Sequential model building in symbolic regression. In: Proceedings of the 19th Conference Information Technologies - Applications and Theory (ITAT 2019). ITAT 2019: Information Technologies – Applications and Theory, Donovaly, 2019-09-20/2019-09-24. Aachen: CEUR Workshop Proceedings, 2019. s. 51-57. sv. 2473. ISSN 1613-0073.

13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2019

Články v časopisech WoS

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.

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.

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.

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.

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

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

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.

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.

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

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

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. ISBN 978-1-7281-5023-9. DOI 10.1109/ICCVW.2019.00264.

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

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.

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

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.

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.

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.

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.

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.

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

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. ISBN 978-1-7281-5023-9. DOI 10.1109/ICCVW.2019.00283.

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.

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. ISBN 978-1-7281-5023-9. 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

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

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.

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

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/

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

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

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.

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.

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

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.

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

KRISTAN, M. et al. The Seventh Visual Object Tracking VOT2019 Challenge Results. 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. 2206-2241. ISSN 2473-9944. ISBN 978-1-7281-5023-9. DOI 10.1109/ICCVW.2019.00276. Dostupné z: https://ieeexplore.ieee.org/document/9022051

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.

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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 1611-3349. ISBN 978-3-030-11009-3. DOI 10.1007/978-3-030-11009-3_36. Dostupné z: https://arxiv.org/pdf/1810.03758.pdf

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.

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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.

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

Výzkumné zprávy

PATEL, Y., S. APPALARAJU a R. MANMATHA. Deep Perceptual Compression. [Výzkumná zpráva] ArXiv, 2019.

PATEL, Y., S. APPALARAJU a R. MANMATHA. Human perceptual evaluations for image compression. [Výzkumná zpráva] ArXiv, 2019.

MISHKIN, D., A. DOSOVITSKIY a V. KOLTUN. Benchmarking Classic and Learned Navigation in Complex 3D Environments. [Výzkumná zpráva] 2019.

13133 / 13163 - algoritmy pro biomedicínské zobrazování

Publikační činnost 2019

Stati ve sbornících konferencí

JURÁŇOVÁ, K. et al. AbloCAM: a versatile optomechanical, semi-automated tool for an in situ characterization and optimization of focused XUV/x-ray laser beam (Conference Presentation). In: JUHA, L., S. BAJT a S. GUIZARD, eds. Proc. SPIE 11035, Optics Damage and Materials Processing by EUV/X-ray Radiation VII. SPIE Optics + Optoelectronics, Praha, 2019-04-01/2019-04-04. Bellingham (stát Washington): SPIE, 2019. Proceedings of SPIE. sv. 11035. ISSN 1996-756X. ISBN 978-1-5106-2737-6. DOI 10.1117/12.2524883. Dostupné z: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11035/2524883/AbloCAM--a-versatile-optomechanical-semi-automated-tool-for-an/10.1117/12.2524883.full?SSO=1

13133 / 13164 - vidění pro roboty a autonomní systémy

Publikační činnost 2019

Články v časopisech WoS

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.

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

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.

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

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.

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.

Stati ve sbornících konferencí

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/

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

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.

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 978-1-5386-7630-1. DOI 10.1109/Humanoids43949.2019.9035065. Dostupné z: https://ieeexplore.ieee.org/document/9035065

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

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. ISSN 2161-9484. ISBN 978-1-5386-8128-2. Dostupné z: https://arxiv.org/abs/1909.02295

13133 / 13166 - analýza a interpretace biomedicínských dat

Publikační činnost 2019

Články v časopisech WoS

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.

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.

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.

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.

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.

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

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.

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

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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, 2019. Dostupné z: http://www.iupesm2018.org/

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.

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.

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.

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

13133 / 13167 - multirobotické systémy

Publikační činnost 2019

Články v časopisech WoS

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.

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.

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

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.

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.

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.

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.

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.

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

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

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.

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.

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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

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. Path planning of 3D solid objects using approximate solutions. In: 24th IEEE Conference on Emerging Technologies and Factory Automation. Zaragoza, 2019-09-10/2019-09-13. Piscataway, NJ: IEEE, 2019. s. 593-600. ISSN 1946-0759. ISBN 978-1-7281-0303-7. DOI 10.1109/ETFA.2019.8869344. Dostupné z: https://ieeexplore.ieee.org/document/8869344

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

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

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.

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.

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.

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.

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

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

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.

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.

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

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.

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

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

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Publikační činnost 2019

Články v časopisech WoS

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.

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.

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. 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.

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

NAVARA, M. a M. PETRÍK. Computing generators of binary operations from partial derivatives. 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.

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.

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.

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.

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

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.