13000 / 13133 - Publications - 2020

13000 / 13133 - Department of Cybernetics

Publications 2020

Papers in WoS Journals

AZAYEV, T. and K. ZIMMERMANN. Blind Hexapod Locomotion in Complex Terrain with Gait Adaptation Using Deep Reinforcement Learning and Classification. Journal of Intelligent and Robotic Systems. 2020, 99(3-4), 659-671. ISSN 0921-0296. DOI 10.1007/s10846-020-01162-8.

BUČKOVÁ, B., et al. Predicting Sex from EEG: Validity and Generalizability of Deep-Learning-Based Interpretable Classifier. Frontiers in Neuroscience. 2020, 14 ISSN 1662-453X. DOI 10.3389/fnins.2020.589303. Available from: https://www.frontiersin.org/articles/10.3389/fnins.2020.589303/full

NĚMÝ, M., et al. Cholinergic white matter pathways make a stronger contribution to attention and memory in normal aging than cerebrovascular health and nucleus basalis of Meynert. Neuroimage. 2020, 211 ISSN 1053-8119. DOI 10.1016/j.neuroimage.2020.116607.

LACIK, J., et al. Rat Head Phantom for Testing of Electroencephalogram Source Localization Techniques. IEEE Access. 2020, 8 106735-106745. ISSN 2169-3536. DOI 10.1109/ACCESS.2020.3000581.

TOMEČEK, D., et al. Personality reflection in the brain’s intrinsic functional architecture remains elusive. PLoS ONE. 2020, 15(6), ISSN 1932-6203. DOI 10.1371/journal.pone.0232570. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0232570

PIORECKÝ, M., et al. Simultaneous fMRI-EEG-Based Characterisation ofNREM Parasomnia Disease: Methods and Limitations. Diagnostics. 2020, 10(12), ISSN 2075-4418. DOI 10.3390/diagnostics10121087. Available from: https://www.mdpi.com/2075-4418/10/12/1087

KOPAL, J., et al. Typicality of functional connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases, and preprocessing pipelines. Human Brain Mapping. 2020, 41(18), 5325-5340. ISSN 1065-9471. DOI 10.1002/hbm.25195.

RADUA, J., et al. Increased power by harmonizing structural MRI site differences with the ComBat batch method in ENIGMA. Neuroimage. 2020, 218(September), ISSN 1053-8119. DOI 10.1016/j.neuroimage.2020.116956.

Papers in Other Journals

PETRLÍK, M., et al. A Robust UAV System for Operations in a Constrained Environment. IEEE Robotics and Automation Letters. 2020, 5(2), 2169-2176. ISSN 2377-3766. DOI 10.1109/LRA.2020.2970980. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8979150

KANG, C., Y. LI, and D. NOVÁK. Brain Networks of Maintenance, Inhibition and Disinhibition During Working Memory. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020, 2020(7), 1518-1527. ISSN 1534-4320. DOI 10.1109/TNSRE.2020.2997827.

Books, Book Chapters and Lecture Notes

GOMEZ CAMARA, L., et al., eds. Accurate and Robust Teach and Repeat Navigation by Visual Place Recognition: A CNN Approach. Pistacaway, NJ: IEEE Robotics and Automation Society, 2020.

Conference Proceedings

HVĚZDA, J., M. KULICH, and L. PŘEUČIL. On Randomized Searching for Multi-robot Coordination. In: GUSIKHIN, O. and K. MADANI, eds. Informatics in Control, Automation and Robotics. International Conference on Informatics in Control, Automation and Robotics, Porto, 2018-07-29/2018-07-31. Cham: Springer, 2020. p. 364-383. Lecture Notes in Electrical Engineering. vol. 613. ISSN 1876-1100. ISBN 978-3-030-31992-2. DOI 10.1007/978-3-030-31993-9_18.

SAIFUTDINOVA, E., et al. Improvement of Sleep Spindle Detection by Aggregation Techniques. In: HENRIQUES, J., ed. XV Mediterranean Conference on Medical and Biological Engineering and Computing MEDICON 2019. Coimbra, 2019-09-26/2019-09-28. Basel: Springer Nature Switzerland AG, 2020. p. 226-234. IFMBE Proceedings. vol. 76. ISSN 1680-0737. ISBN 978-3-030-31634-1. DOI 10.1007/978-3-030-31635-8_27. Available from: https://doi.org/10.1007/978-3-030-31635-8_27

NĚMÝ, M., et al. Novel multimodal imaging methods for in vivo investigation of the human cholinergic system. In: Advances in Alzhemeimer's and Parkinson's Therapies An AAT-AD/PD Focus Meeting Book of Abstracts. Advances in Alzhemeimer's and Parkinson's Therapies An AAT-AD/PD Focus Meeting, Vídeň, 2020-04-02/2020-04-05. Geneva: AD/PD 2019 Kenes International Organizers of Congresses S.A., 2020. Available from: https://aat-adpd.kenes.com/

DÖRFLER, M., et al. Application of Surface Reconstruction for Car Undercarriage Inspection. In: Proceedings of 2020 The 3rd International Conference on Intelligent Robotics and Control Engineering. 3rd International Conference on Intelligent Robotics and Control Engineering, IRCE 2020, Wadham College, University of Oxford, Oxford, 2020-08-10/2020-08-12. Piscataway: Institute of Electrical and Electronics Engineers, 2020. p. 47-51. ISBN 978-1-7281-8972-7. DOI 10.1109/IRCE50905.2020.9199251.

PICHL, J., et al. Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph. In: Alexa Prize Socialbot Grand Challenge 3 Proceedings. Alexa Live 2020, Online, 2020-07-22. Amazon, 2020. Available from: https://m.media-amazon.com/images/G/01/mobile-apps/dex/alexa/alexaprize/assets/challenge3/proceedings/Czech-Alquist.pdf

NĚMÝ, M., et al. Multimodal imaging reveals human cholinergic system functional and structural integrity in vivo. In: Abstracts: Alzheimer's Association International Conference. Alzheimer’s Association International Conference 2020, Amsterdam, 2020-07-27/2020-07-31. Chicago: Alzheimer's Association, 2020. Available from: https://alz.confex.com/alz/20amsterdam/meetingapp.cgi/Paper/40763

BÁRTEK, F. and M. SUDA. Learning Precedences from Simple Symbol Features. In: Practical Aspects of Automated Reasoning and Satisfiability Checking and Symbolic Computation Workshop 2020. The International Joint Conference on Automated Reasoning, Paris, 2020-06-29/2020-07-06. Tilburg: CEUR Workshop Proceedings, 2020. p. 21-33. vol. 2752. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2752/paper2.pdf

POLIC, M., et al. Uncertainty Based Camera Model Selection. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 5990-5999. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00603.

LISTÍK, V., J. ŠEDIVÝ, and V. HLAVÁČ. Email Image Spam Classification based on ResNet Convolutional Neural Network. In: Proceedings of the 6th International Conference on Information Systems Security and Privacy. 6th International Conference on Information Systems Security and Privacy, Valletta, 2020-02-25/2020-02-27. Madeira: SciTePress, 2020. p. 457-464. ISSN 2184-4356. ISBN 978-989-758-399-5. DOI 10.5220/0008956704570464.

ALBL, Č., et al. From Two Rolling Shutters to One Global Shutter. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 2502-2510. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00258.

YAKOVLEV, K., et al. On the Application of Prioritized Safe-interval Path Planning with Kinematic Constraints to the Single-shot Pickup and Delivery Problem. In: Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics. 17th International conference on informatics in control automation and robotics, online streaming, 2020-07-07/2020-07-09. Setùbal: SciTePress, 2020. p. 521-528. ISBN 978-989-758-442-8. DOI 10.5220/0009888905210528. Available from: https://www.scitepress.org/Link.aspx?doi=10.5220/0009888905210528

JAJCAY, L., et al. Decoding Faces in a Movie Using fMRI: A Comparison of Two Approaches. In: OHBM 2020 - 26th Annual Meeting of the Organization for Human Brain Mapping Abstract Listings. 2020 Annual Meeting of the Organization for Human Brain Mapping, Montreal, 2020-06-23/2020-07-03. Minneapolis: The Organization for Human Brain Mapping, 2020. Available from: https://www.humanbrainmapping.org/files/2020/OHBM_2020_Virtual_Abstracts_2.pdf

Unpublished Lectures

TRUTMAN, P., et al. Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator. [Unpublished Lecture] České vysoké učení technícké v Praze - Český institut informatiky, robotiky a kybernetiky. 2020-10-21.

13133 / 13162 - Visual Recognition Group

Publications 2020

Papers in WoS Journals

ALBL, Č., et al. Rolling Shutter Camera Absolute Pose. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020, 42(6), 1439-1452. ISSN 1939-3539. DOI 10.1109/TPAMI.2019.2894395. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621045

KOTERA, J., J. MATAS, and F. SROUBEK. Restoration of Fast Moving Objects. IEEE Transactions on Image Processing. 2020, 29 8577-8589. ISSN 1057-7149. DOI 10.1109/TIP.2020.3016490.

ALDANA IUIT, J., et al. Saddle: Fast and repeatable features with good coverage. Image and Vision Computing. 2020, 97 ISSN 1872-8138. DOI 10.1016/j.imavis.2019.08.011. Available from: https://www.sciencedirect.com/science/article/pii/S026288561930126X?dgcid=coauthor

PRITTS, J., et al. Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. International Journal of Computer Vision. 2020, 128(4), 950-968. ISSN 0920-5691. DOI 10.1007/s11263-019-01216-x.

BALNTAS, V., et al. H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020, 42(11), 2825-2841. ISSN 0162-8828. DOI 10.1109/TPAMI.2019.2915233.

JIN, Y., et al. Image Matching across Wide Baselines: From Paper to Practice. International Journal of Computer Vision. 2020, ISSN 0920-5691. DOI 10.1007/s11263-020-01385-0.

Papers in Other Journals

KUČERA, M., J. KRÁLÍČEK, and K. NOSEK. Provoz tepelného čerpadla rodinného domu z pohledu potenciálního zdroje hluku ve venkovním prostoru. Vytápění, větrání, instalace. 2020, 29(4), 226-231. ISSN 1210-1389.

Conference Proceedings

RIBA, E., et al. Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). 2020 IEEE Winter Conference on Applications of Computer Vision, Snowmass village, 2020-03-01/2020-03-05. New Jersey: IEEE, 2020. p. 3663-3672. ISSN 2642-9381. ISBN 978-1-7281-6553-0. DOI 10.1109/WACV45572.2020.9093363. Available from: https://openaccess.thecvf.com/content_WACV_2020/papers/Riba_Kornia_an_Open_Source_Differentiable_Computer_Vision_Library_for_PyTorch_WACV_2020_paper.pdf

HODAŇ, T., et al. BOP Challenge 2020 on 6D Object Localization. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part II. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Basel: Springer, 2020. p. 577-594. LNCS. vol. 12536. ISSN 0302-9743. ISBN 978-3-030-66095-6. DOI 10.1007/978-3-030-66096-3_39.

ISCEN, A., et al. Graph convolutional networks for learning with few clean and many noisy labels. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part X. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer International Publishing, 2020. p. 286-302. LNCS. vol. 12355. ISSN 0302-9743. ISBN 978-3-030-58606-5. DOI 10.1007/978-3-030-58607-2_17.

BHAYANI, S., Z. KÚKELOVÁ, and J. HEIKKILÄ. A sparse resultant based method for efficient minimal solvers. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 1767-1776. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00184.

BAHNÍK, M., et al. Visually Assisted Anti-lock Braking System. In: 2020 IEEE Intelligent Vehicles Symposium (IV). 2020 IEEE Intelligent Vehicles Symposium (IV2020), Las Vegas, 2020-10-19/2020-11-13. ???: IEEE Industrial Electronic Society, 2020. p. 1219-1225. ISSN 2642-7214. ISBN 978-1-7281-6673-5. DOI 10.1109/IV47402.2020.9304807. Available from: https://doi.org/10.1109/IV47402.2020.9304807

DUKANOVIĆ, S., J. MATAS, and T. VIRTANEN. Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow. In: 2020 IEEE Intelligent Vehicles Symposium (IV). 2020 IEEE Intelligent Vehicles Symposium (IV2020), Las Vegas, 2020-10-19/2020-11-13. ???: IEEE Industrial Electronic Society, 2020. p. 1608-1614. ISSN 2642-7214. ISBN 978-1-7281-6673-5. DOI 10.1109/IV47402.2020.9304600. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9304600

BARÁTH, D., et al. MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 1301-1309. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00138.

PATEL, Y., T. HODAŇ, and J. MATAS. Learning Surrogates via Deep Embedding. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XXX. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer International Publishing, 2020. p. 205-221. LNCS. vol. 12375. ISSN 0302-9743. ISBN 978-3-030-58576-1. DOI 10.1007/978-3-030-58577-8_13.

POLIC, M., et al. Uncertainty Based Camera Model Selection. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 5990-5999. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00603.

ŠULC, M., et al. Fungi Recognition: A Practical Use Case. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). 2020 IEEE Winter Conference on Applications of Computer Vision, Snowmass village, 2020-03-01/2020-03-05. New Jersey: IEEE, 2020. p. 2305-2313. ISSN 2642-9381. ISBN 978-1-7281-6553-0. DOI 10.1109/WACV45572.2020.9093624. Available from: https://ieeexplore.ieee.org/document/9093624

KÚKELOVÁ, Z., et al. Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part V. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer International Publishing, 2020. p. 698-714. LNCS. vol. 12350. ISSN 0302-9743. ISBN 978-3-030-58557-0. DOI 10.1007/978-3-030-58558-7_41.

BARÁTH, D., et al. Making Affine Correspondences Work in Camera Geometry Computation. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer International Publishing, 2020. p. 723-740. LNCS. vol. 12356. ISSN 0302-9743. ISBN 978-3-030-58620-1. DOI 10.1007/978-3-030-58621-8_42.

LIN, Y., et al. Infrastructure-Based Multi-camera Calibration Using Radial Projections. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XVI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer International Publishing, 2020. p. 327-344. LNCS. vol. 12361. ISSN 0302-9743. ISBN 978-3-030-58516-7. DOI 10.1007/978-3-030-58517-4_20.

HODAŇ, T., D. BARÁTH, and J. MATAS. EPOS: Estimating 6D Pose of Objects with Symmetries. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 11700-11709. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.01172.

TOLIAS, G., T. JENÍČEK, and O. CHUM. Learning and aggregating deep local descriptors for instance-level recognition. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part I. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer International Publishing, 2020. p. 460-477. LNCS. vol. 12346. ISSN 0302-9743. ISBN 978-3-030-58451-1. DOI 10.1007/978-3-030-58452-8_27.

DENNINGER, M., et al. BlenderProc: Reducing the Reality Gap with Photorealistic Rendering. In: 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. Corvallis, 2020-07-12. Microsoft CMT, 2020. Available from: https://sim2real.github.io/assets/papers/2020/denninger.pdf

NOVÁK, T., J. ŠOCHMAN, and J. MATAS. A new semi-supervised method improving optical flow on distant domains. In: Proceedings of the 25th Computer Vision Winter Workshop Conference February 3-5, 2020, Rogaška Slatina, Slovenia. Computer Vision Winter Workshop 2020, Rogaška Slatina, 2020-02-03/2020-02-05. Ljubljana: Slovenian Pattern Recognition Society, 2020. p. 37-45. ISBN 978-961-90901-9-0. Available from: https://data.vicos.si/cvww20/22.pdf

JAHODA, P., J. ČECH, and J. MATAS. Autonomous Car Chasing. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part IV. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-09-28. Cham: Springer, 2020. p. 337-352. LNCS. vol. 12538. ISSN 0302-9743. ISBN 978-3-030-66822-8. DOI 10.1007/978-3-030-66823-5_20.

ALBL, Č., et al. From Two Rolling Shutters to One Global Shutter. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 2502-2510. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00258.

KNOBELREITER, P., et al. Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 7897-7906. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00792.

TOURANI, S., et al. Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. In: Proceedings of Machine Learning Research. The Twenty Third International Conference on Artificial Intelligence and Statistics, Palermo, 2020-06-03/2020-06-05. Proceedings of Machine Learning Research, 2020. vol. Volume 108. ISSN 2640-3498.

ROZUMNYI, D., et al. Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 6777-6785. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00681.

Unpublished Lectures

ŠULC, M., et al. Fungi Recognition: A Practical Use Case. [Unpublished Lecture] 2020-02-05.

13133 / 13163 - Biomedical imaging algorithms

Publications 2020

Papers in WoS Journals

BOROVEC, J., J. KYBIC, and I. ARGANDA-CARRERAS. ANHIR: Automatic Non-rigid Histological Image Registration Challenge. IEEE Transactions on Medical Imaging. 2020, 39(10), 3042-3052. ISSN 1558-254X. DOI 10.1109/TMI.2020.2986331. Available from: https://ieeexplore.ieee.org/document/9058666

Books, Book Chapters and Lecture Notes

KAUSHIK, S., ed. Sumit Kaushik. The ACM Digital Library, 2020. ISBN 978-1-4503-8822-1.

KAUSHIK, S., ed. 4th order tensors for multi-fiber resolution and segmentation in white matter. The ACM Digital Library, 2020. ISBN 978-1-4503-8822-1. Available from: http://www.icbbe.com

Conference Proceedings

HERING, J. and J. KYBIC. Multiple Instance Learning Via Deep Hierarchical Exploration for Histology Image Classification. In: 17th IEEE International Symposium on Biomedical Imaging. IEEE International Symposium on Biomedical Imaging, IOWA, 2020-04-03/2020-04-07. Los Alamitos: IEEE Computer Society, 2020. p. 235-238. vol. 2020. ISSN 1945-7928. ISBN 978-1-5386-9330-8. DOI 10.1109/ISBI45749.2020.9098616.

HERING, J. and J. KYBIC. Generalized Multiple Instance Learning for Cancer Detection in Digital Histopathology. In: Image Analysis and Recognition,17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part II. International Conference on Image Analysis and Recognition, Póvoa de Varzim, 2020-06-24/2020-06-26. Cham: Springer, 2020. p. 274-282. LNCS. vol. 12132. ISSN 0302-9743. ISBN 978-3-030-50515-8. DOI 10.1007/978-3-030-50516-5_24.

13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2020

Papers in WoS Journals

AZAYEV, T. and K. ZIMMERMANN. Blind Hexapod Locomotion in Complex Terrain with Gait Adaptation Using Deep Reinforcement Learning and Classification. Journal of Intelligent and Robotic Systems. 2020, 99(3-4), 659-671. ISSN 0921-0296. DOI 10.1007/s10846-020-01162-8.

Books, Book Chapters and Lecture Notes

HOFFMANN, M., et al., eds. Body RepresentatioBody Representations, Peripersonal Space, and the Self: Humans, Animals, Robotsns, Peripersonal Space, and the Self: Humans, Animals, Robots. LAUSANNE: FRONTIERS MEDIA SA, 2020. ISSN 1662-5218. DOI 10.3389/978-2-88963-877-2. Available from: https://www.frontiersin.org/research-topics/6865/body-representations-peripersonal-space-and-the-self-humans-animals-robots

Conference Proceedings

ROUČEK, T., et al. DARPA Subterranean Challenge: Multi-robotic exploration of underground environments. In: 6th International Workshop on Modelling and Simulation for Autonomous Systems. MESAS 2019 - Modelling & Simulation for Autonomous Systems, Palermo, 2019-10-29/2019-10-31. Wien: Springer, 2020. p. 274-290. ISSN 1611-3349. ISBN 9783030438890. DOI 10.1007/978-3-030-43890-6_22. Available from: https://link.springer.com/chapter/10.1007%2F978-3-030-43890-6_22

UENO, A., et al. Touching a Human or a Robot? Investigating Human-likeness of a Soft Warm Artificial Hand. In: 2020 29th IEE International Conference on Robot and Human Interactive Communication (RO-MAN). 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Neapol, 2020-08-31/2020-09-04. Piscataway: IEEE, 2020. p. 14-20. ISSN 1944-9437. ISBN 978-1-7281-6075-7. DOI 10.1109/RO-MAN47096.2020.9223523. Available from: https://doi.org/10.1109/RO-MAN47096.2020.9223523

BEHRENS, J., K. ŠTĚPÁNOVÁ, and R. BABUŠKA. Simultaneous task allocation and motion scheduling for complex tasks executed by multiple robots. In: IEEE International Conference on Robotics and Automation (ICRA). 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020-05-31/2020-08-31. IEEE Xplore, 2020. p. 11443-11449. ISSN 1050-4729. ISBN 978-1-7281-7396-2. DOI 10.1109/ICRA40945.2020.9197103.

GAMA, F., et al. Active exploration for body model learning through self-touch on a humanoid robot with artificial skin. In: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2020 Joint IEEE 10th International Conference on. 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Valparaíso, 2020-10-26/2020-10-30. Piscataway: IEEE, 2020. p. 1-8. ISSN 2161-9484. ISBN 978-1-7281-7306-1. DOI 10.1109/ICDL-EpiRob48136.2020.9278035. Available from: https://doi.org/10.1109/ICDL-EpiRob48136.2020.9278035

13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2020

Papers in WoS Journals

KRATOCHVÍL, M., et al. ShinySOM: Graphical SOM-based analysis of single-cell cytometry data. Bioinformatics. 2020, 36(10), 3288-3289. ISSN 1367-4803. DOI 10.1093/bioinformatics/btaa091.

CUESTA-FRAU, D., et al. Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study. Entropy. 2020, 22(11), ISSN 1099-4300. DOI 10.3390/e22111243. Available from: https://www.mdpi.com/1099-4300/22/11/1243

ŽEGKLITZ, J. and P. POŠÍK. Benchmarking state-of-the-art symbolic regression algorithms. Genetic Programming and Evolvable Machines. 2020, - ISSN 1573-7632. DOI 10.1007/s10710-020-09387-0. Available from: https://link.springer.com/article/10.1007%2Fs10710-020-09387-0

COLÁS, A., et al. Influence of glucometric ‘dynamical’ variables on duodenal‐jejunal bypass liner (DJBL) anthropometric and metabolic outcomes. Diabetes/Metabolism Research and Reviews. 2020, 36(4), ISSN 1520-7560. DOI 10.1002/dmrr.3287. Available from: https://onlinelibrary.wiley.com/doi/10.1002/dmrr.3287

Papers in Other Journals

KOZÁKOVÁ, E., et al. Disrupted Sense of Agency as a State Marker of First-Episode Schizophrenia: A Large-Scale Follow-Up Study. Frontiers in Psychiatry. 2020, 11 ISSN 1664-0640. DOI 10.3389/fpsyt.2020.570570. Available from: https://www.frontiersin.org/articles/10.3389/fpsyt.2020.570570/full

KANG, C., Y. LI, and D. NOVÁK. Brain Networks of Maintenance, Inhibition and Disinhibition During Working Memory. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020, 2020(7), 1518-1527. ISSN 1534-4320. DOI 10.1109/TNSRE.2020.2997827.

Conference Proceedings

VARHA, I., et al. Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement. In: SYEDA-MAHMOOD, T., et al., eds. Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures. CLIP 2020, ML-CDS 2020.. 9th MICCAI workshop on Clinical Image-based Procedures (CLIP), Lima, 2020-10-04. Springer, Cham, 2020. p. 34-43. Lecture Notes in Computer Science. vol. 12445. ISSN 0302-9743. ISBN 978-3-030-60945-0. DOI 10.1007/978-3-030-60946-7_4.

13133 / 13167 - Multi-robot Systems

Publications 2020

Papers in WoS Journals

SASKA, M., et al. Formation control of unmanned micro aerial vehicles for straitened environments. Autonomous Robots. 2020, 44(6), 991-1008. ISSN 1573-7527. DOI 10.1007/s10514-020-09913-0. Available from: https://link.springer.com/article/10.1007%2Fs10514-020-09913-0

VONÁSEK, V., R. PĚNIČKA, and B. KOZLÍKOVÁ. Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning. Journal of Intelligent and Robotic Systems. 2020, 100 1527-1543. ISSN 0921-0296. DOI 10.1007/s10846-020-01247-4.

Papers in Other Journals

VRBA, M. and M. SASKA. Marker-Less Micro Aerial Vehicle Detection and Localization Using Convolutional Neural Networks. IEEE Robotics and Automation Letters. 2020, 5(2), 2459-2466. ISSN 2377-3766. DOI 10.1109/LRA.2020.2972819. Available from: https://ieeexplore.ieee.org/document/8988144

KRÁTKÝ, V., et al. Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. 2020, 5(2), 2302-2309. ISSN 2377-3766. DOI 10.1109/LRA.2020.2970646. Available from: https://ieeexplore.ieee.org/document/8977312

PETRÁČEK, P., V. KRÁTKÝ, and M. SASKA. Dronument: System for Reliable Deployment of Micro Aerial Vehicles in Dark Areas of Large Historical Monuments. IEEE Robotics and Automation Letters. 2020, 5(2), 2078-2085. ISSN 2377-3766. DOI 10.1109/LRA.2020.2969935. Available from: https://ieeexplore.ieee.org/document/8972370

FURMANOVÁ, K., et al. DockVis: Visual Analysis of Molecular Docking Trajectories. Computer Graphics Forum. 2020, ISSN 1467-8659. DOI 10.1111/cgf.14048. Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.14048

PETRLÍK, M., et al. A Robust UAV System for Operations in a Constrained Environment. IEEE Robotics and Automation Letters. 2020, 5(2), 2169-2176. ISSN 2377-3766. DOI 10.1109/LRA.2020.2970980. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8979150

SAIKIN, D., et al. Wildfire Fighting by Unmanned Aerial System Exploiting Its Time-Varying Mass. IEEE Robotics and Automation Letters. 2020, 5(2), 2674-2681. ISSN 2377-3766. DOI 10.1109/LRA.2020.2972827. Available from: https://ieeexplore.ieee.org/document/8989795

ŠTIBINGER, P., T. BÁČA, and M. SASKA. Localization of Ionizing Radiation Sources by Cooperating Micro Aerial Vehicles With Pixel Detectors in Real-Time. IEEE Robotics and Automation Letters. 2020, 5(2), 3634-3641. ISSN 2377-3766. DOI 10.1109/LRA.2020.2978456. Available from: https://ieeexplore.ieee.org/document/9024023

Books, Book Chapters and Lecture Notes

PEREIRA DO NASCIMENTO, T., T. UZAKOV, and M. SASKA, eds. UAV Vision-Based Nonlinear Formation Control Applied to Inspection of Electrical Power Lines. Athens, 2020-09-01/2020-09-04. IEEE (Institute of Electrical and Electronics Engineers), 2020. ISSN 2575-7296. ISBN 978-1-7281-4278-4.

PEREIRA DO NASCIMENTO, T. and M. SASKA, eds. Fast Nonlinear Model Predictive Control for Very-Small Aerial Vehicles. Athens, 2020-09-01/2020-09-04. IEEE (Institute of Electrical and Electronics Engineers), 2020. ISSN 2575-7296. ISBN 978-1-7281-4278-4.

Conference Proceedings

ROUČEK, T., et al. DARPA Subterranean Challenge: Multi-robotic exploration of underground environments. In: 6th International Workshop on Modelling and Simulation for Autonomous Systems. MESAS 2019 - Modelling & Simulation for Autonomous Systems, Palermo, 2019-10-29/2019-10-31. Wien: Springer, 2020. p. 274-290. ISSN 1611-3349. ISBN 9783030438890. DOI 10.1007/978-3-030-43890-6_22. Available from: https://link.springer.com/chapter/10.1007%2F978-3-030-43890-6_22

AHMAD, A., V. VONÁSEK, and M. SASKA. Cooperative path planning for multiple MAVs operating in unknown environments. In: International Conference on Unmanned Aircraft Systems (ICUAS). Athens, 2020-09-01/2020-09-04. Vancouver: IEEE, 2020. p. 661-667. ISSN 2575-7296. ISBN 978-1-7281-4278-4. DOI 10.1109/ICUAS48674.2020.9213896. Available from: https://ieeexplore.ieee.org/document/9213896

WALTER, V., M. VRBA, and M. SASKA. On training datasets for machine learning-based visual relative localization of micro-scale UAVs. In: IEEE International Conference on Robotics and Automation (ICRA). 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020-05-31/2020-08-31. IEEE Xplore, 2020. p. 10674-10680. ISSN 2577-087X. ISBN 978-1-7281-7395-5. DOI 10.1109/ICRA40945.2020.9196947. Available from: https://ieeexplore.ieee.org/document/9196947

13133 / 13168 - Machine Learning

Publications 2020

Papers in WoS Journals

SIXTA, T., et al. Coupling cell detection and tracking by temporal feedback. Machine Vision and Applications. 2020, 31(4), ISSN 0932-8092. DOI 10.1007/s00138-020-01072-7.

Books, Book Chapters and Lecture Notes

NAVARA, M. and M. PETRÍK. Generators of fuzzy logical operations. In: KREINOVICH, V. and H.T. NGUYEN, eds. Algebraic Techniques and Their Use in Describing and Processing Uncertainty. Cham: Springer, 2020. p. 89-112. Studies in Computational Intelligence. vol. 878. ISSN 1860-949X. ISBN 978-3-030-38565-1. DOI 10.1007/978-3-030-38565-1_8. Available from: https://www.springer.com/gp/book/9783030385644?wt_mc=Internal.Event.1.SEM.ChapterAuthorCongrat

Conference Proceedings

WERNER, T., D. PRŮŠA, and T. DLASK. Relative Interior Rule in Block-Coordinate Descent. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 7556-7564. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00758.

DLASK, T. and T. WERNER. A Class of Linear Programs Solvable by Coordinate-Wise Minimization. In: Learning and Intelligent Optimization. The 14th Learning and Intelligent Optimization Conference, Athens, 2020-05-24/2020-05-28. Basel: Springer Nature Switzerland AG, 2020. p. 52-67. LNCS. vol. 12096. ISSN 0302-9743. ISBN 978-3-030-53551-3. DOI 10.1007/978-3-030-53552-0_8.

PRŮŠA, D. and M. WEHAR. Complexity of Searching for 2 by 2 Submatrices in Boolean Matrices. In: International Conference on Developments in Language Theory. Tampa, 2020-05-11/2020-05-15. Springer, Cham, 2020. p. 266-279. Lecture Notes in Computer Science. vol. 12086. ISSN 0302-9743. ISBN 978-3-030-48515-3. DOI 10.1007/978-3-030-48516-0_20.

KADLEC, J. and D. PRŮŠA. Solvers for Mathematical Word Problems in Czech. In: Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020). ITAT 2020: Information Technologies – Applications and Theory, hotel Tyrapol, Oravská Lesná, 2020-09-18/2020-09-22. Aachen: CEUR Workshop Proceedings, 2020. p. 18-25. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2718/paper09.pdf

DLASK, T. Unit Propagation by Means of Coordinate-Wise Minimization. In: Machine Learning, Optimization, and Data Science. International Conference on Machine Learning, Optimization, and Data Science, Certosa di Pontignano, Siena, 2020-07-19/2020-07-23. Basel: Springer Nature Switzerland AG, 2020. p. 688-699. LNCS. vol. 12565. ISSN 0302-9743. ISBN 978-3-030-64582-3. DOI 10.1007/978-3-030-64583-0_60.

PRŮŠA, D. Complexity of Two-Dimensional Rank-Reducing Grammars. In: 22nd International Conference, DCFS 2020, Vienna, Austria, August 24–26, 2020, Proceedings. DCFS 2020: Descriptional Complexity of Formal Systems, Vienna, 2020-08-24/2020-08-26. Springer, Cham, 2020. p. 155-166. Lecture Notes in Computer Science. vol. 12442. ISSN 0302-9743. ISBN 978-3-030-62535-1. DOI 10.1007/978-3-030-62536-8_13.

SIXTA, T., et al. FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part VI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 463-481. LNCS. vol. 12540. ISSN 0302-9743. ISBN 978-3-030-65413-9. DOI 10.1007/978-3-030-65414-6_32.

BRABEC, J., et al. On Model Evaluation Under Non-constant Class Imbalance. In: Computational Science - ICCS 2020. 20th International Conference on Computational Science 2020, Amsterdam, 2020-06-03/2020-06-05. Cham: Springer, 2020. p. 74-87. vol. 12140. ISSN 0302-9743. ISBN 978-3-030-50422-9. DOI 10.1007/978-3-030-50423-6_6.

DLASK, T. and T. WERNER. On Relation Between Constraint Propagation and Block-Coordinate Descent in Linear Programs. In: Principles and Practice of Constraint Programming. International Conference on Principles and Practice of Constraint Programming, Louvain-la-Neuve, 2020-09-07/2020-09-11. Basel: Springer Nature Switzerland AG, 2020. p. 194-210. LNCS. vol. 12333. ISSN 0302-9743. ISBN 978-3-030-58474-0. DOI 10.1007/978-3-030-58475-7_12.

DLASK, T. On Coordinate-Wise Minimization Applied to General Convex Optimization Problems. In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Verona, 2020-09-16/2020-09-18. Amsterdam: Elsevier B.V., 2020. p. 1328-1337. Procedia Computer Science. vol. 176. ISSN 1877-0509. DOI 10.1016/j.procs.2020.09.142.

DLASK, T. and T. WERNER. Bounding Linear Programs by Constraint Propagation: Application to Max-SAT. In: Principles and Practice of Constraint Programming. International Conference on Principles and Practice of Constraint Programming, Louvain-la-Neuve, 2020-09-07/2020-09-11. Basel: Springer Nature Switzerland AG, 2020. p. 177-193. LNCS. vol. 12333. ISSN 0302-9743. ISBN 978-3-030-58474-0. DOI 10.1007/978-3-030-58475-7_11.

13133 / 13169 - Knowledge-based Software Systems

Publications 2020

Papers in WoS Journals

LEDVINKA, M. and P. KŘEMEN. A comparison of object-triple mapping libraries. Semantic Web. 2020, 11(3), 483-524. ISSN 1570-0844. DOI 10.3233/SW-190345.

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