13000 / 13133 - Publications - 2021

13000 / 13133 - Department of Cybernetics

Publications 2021

Papers in WoS Journals

ŘASOVÁ, K., et al. A Three-Arm Parallel-Group Exploratory Trial documents balance improvement without much evidence of white matter integrity changes in people with multiple sclerosis following two months ambulatory neuroproprioceptive “facilitation and inhibition” physical therapy. European Journal of Physical and Rehabilitation Medicine. 2021, 57(6), 889-899. ISSN 1973-9087. DOI 10.23736/S1973-9087.21.06701-0.

JIŘÍČEK, S., et al. Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System. Frontiers in Neuroinformatics. 2021, 14 ISSN 1662-5196. DOI 10.3389/fninf.2020.589228. Available from: https://www.frontiersin.org/articles/10.3389/fninf.2020.589228/full

BUČKOVÁ, B., et al. Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis – Unlocking the Resting-State fMRI Data. Frontiers in Neuroscience. 2021, 15 1-6. ISSN 1662-453X. DOI 10.3389/fnins.2021.662784. Available from: https://www.frontiersin.org/articles/10.3389/fnins.2021.662784/full

KOZÁK, V., et al. Data-Driven Object Pose Estimation in a Practical Bin-Picking Application. Sensors. 2021, 21(18), ISSN 1424-8220. DOI 10.3390/s21186093. Available from: https://doi.org/10.3390/s21186093

KUBALÍK, J., et al. Symbolic Regression Methods for Reinforcement Learning. IEEE Access. 2021, 9 139697-139711. ISSN 2169-3536. DOI 10.1109/ACCESS.2021.3119000. Available from: https://ieeexplore.ieee.org/document/9565900

Papers in Other Journals

MAREK, P., et al. Text Summarization of Czech News Articles Using Named Entities. The Prague Bulletin of Mathematical linguistics. 2021, 116 5-25. ISSN 0032-6585. DOI 10.14712/00326585.012.

Conference Proceedings

RYBECKÝ, T., et al. Towards Narrowing the Search in Bounded-Suboptimal Safe Interval Path Planning. In: Proceedings of the International Symposium on Combinatorial Search. The 14th International Symposium on Combinatorial Search, Virtual conference, 2021-07-26/2021-07-30. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2021. p. 136-140. ISBN 9781713834557.

VOŠAHLÍK, D., et al. Self-Supervised Learning of Camera-based Drivable Surface Friction. In: ITSC 2021: IEEE Conference on Intelligent Transportation Systems. 2021 IEEE International Intelligent Transportation Systems Conference, Indianapolis, 2021-09-19/2021-09-22. Piscataway: IEEE, 2021. p. 2773-2780. ISBN 978-1-7281-9142-3. DOI 10.1109/ITSC48978.2021.9564894.

KONRÁD, J., et al. Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization. In: 4th Proceedings of Alexa Prize (Alexa Prize 2021). Alexa Live 2021, Online, 2021-08-16. Amazon, 2021. Available from: https://d7qzviu3xw2xc.cloudfront.net/alexa/alexaprize/docs/sgc4/CTU-Alquist.pdf

JAJCAY, L., et al. Deviation from Typical Brain Activity during Naturalistic Stimulation Predicts Personality Traits. In: OHBM 2021 - Abstract Book of the 27th Annual Meeting of the Organization for Human Brain Mapping. 2021 Annual Meething of the Organization for Human Brain Mapping, online, 2021-06-21/2021-06-25. Minneapolis: The Organization for Human Brain Mapping, 2021. Available from: https://www.humanbrainmapping.org/files/ohbm2021_abstracts_v2.pdf

MAREK, P., et al. OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Online, 2021-06-06/2021-06-11. Stroudsburg: Association for Computational Linguistics (ACL), 2021. p. 238-245. ISBN 978-1-954085-47-3. DOI 10.18653/v1/2021.naacl-industry.30. Available from: https://aclanthology.org/2021.naacl-industry.30

ČECH, J., et al. Self-Supervised Learning of Camera-based Drivable Surface Roughness. In: Proceedings of 2021 IEEE Intelligent Vehicles Symposium (IV). 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, 2021-07-11/2021-07-17. Piscataway: IEEE, 2021. p. 1319-1325. ISBN 978-1-7281-5394-0. DOI 10.1109/IV48863.2021.9575288. Available from: https://ieeexplore.ieee.org/document/9575288

RUSTLER, L., et al. Spatial calibration of whole-body artificial skin on a humanoid robot: comparing self-contact, 3D reconstruction, and CAD-based calibration. In: 2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids). Munich, 2021-07-19/2021-11-21. Piscataway: IEEE, 2021. p. 445-452. ISSN 2164-0580. ISBN 978-1-7281-9372-4. DOI 10.1109/HUMANOIDS47582.2021.9555806. Available from: https://ieeexplore.ieee.org/document/9555806

KULHÁNEK, J., et al. AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models. In: Proceedings of the Third Workshop on Natural Language Processing for Conversational AI. Conference on Empirical Methods in Natural Language Processing (and forerunners) (EMNLP), online, 2021-11-10. Stroudsburg: Association for Computational Linguistics (ACL), 2021. p. 198-210. ISBN 978-1-954085-86-2. DOI 10.18653/v1/2021.nlp4convai-1.19. Available from: https://aclanthology.org/2021.nlp4convai-1.19/

KOZÁK, V., et al. Robust Visual Teach and Repeat Navigation for Unmanned Aerial Vehicles. In: Proceedings of the 10th European Conference on Mobile Robots. The 10th European Conference on Mobile Robots, Bonn, 2021-08-31/2021-09-03. Brussels: IEEE, 2021. ISBN 978-1-6654-1213-1. DOI 10.1109/ECMR50962.2021.9568807. Available from: https://doi.org/10.1109/ECMR50962.2021.9568807

CEDRES, N., et al. The association of Alzheimer’s disease and cerebrovascular disease biomarkers towards the neurodegeneration of the cholinergic pathways. In: Alzheimer's and Dementia: Supplement: Biomarkers – Part 2. Alzheimer’s Association International Conference 2021, Denver, 2021-07-26/2021-07-30. Chicago: Alzheimer's Association, 2021. S5. vol. 17. DOI 10.1002/alz.054885.

BÁRTEK, F. and M. SUDA. Neural Precedence Recommender. In: Automated Deduction – CADE 28. 28th International Conference on Automated Deduction, Pittsburgh, 2021-07-12/2021-07-15. Springer, Cham, 2021. p. 525-542. Lecture Notes in Artificial Intelligence. vol. 12699. ISSN 0302-9743. ISBN 978-3-030-79875-8. DOI 10.1007/978-3-030-79876-5_30.

BENEDIKT, O., et al. Thermal-Aware Scheduling for MPSoC in the Avionics Domain: Tooling and Initial Results. In: 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). Houston, TX, 2021-08-18/2021-08-20. Piscataway: IEEE, 2021. p. 159-168. ISSN 2325-1301. ISBN 978-1-6654-4188-9. DOI 10.1109/RTCSA52859.2021.00026.

WOLLER, D. and M. KULICH. The ALNS metaheuristic for the maintenance scheduling problem. In: Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO. 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO, online streaming, 2021-07-06/2021-07-08. Setùbal: SciTePress, 2021. p. 156-164. ISSN 2184-2809. ISBN 978-989-758-522-7. DOI 10.5220/0010552101560164. Available from: https://www.scitepress.org/Link.aspx?doi=10.5220/0010552101560164

13133 / 13162 - Visual Recognition Group

Publications 2021

Papers in WoS Journals

LUKEZIC, A., et al. Performance Evaluation Methodology for Long-Term Single-Object Tracking. IEEE Transactions on Cybernetics. 2021, 51(12), 6305-6318. ISSN 2168-2267. DOI 10.1109/TCYB.2020.2980618.

PRITTS, J., et al. Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021, 43(11), 3931-3948. ISSN 1939-3539. DOI 10.1109/TPAMI.2020.2992261. Available from: https://ieeexplore.ieee.org/document/9086062

ROZUMNYI, D., et al. Tracking by Deblatting. International Journal of Computer Vision. 2021, 2021(129), 2583-2604. ISSN 0920-5691. DOI 10.1007/s11263-021-01480-w.

JIN, Y., et al. Image Matching across Wide Baselines: From Paper to Practice. International Journal of Computer Vision. 2021, 129 517-547. ISSN 0920-5691. DOI 10.1007/s11263-020-01385-0.

DJUKANOVIC, S., J. MATAS, and T. VIRTANEN. Acoustic vehicle speed estimation from single sensor measurements. IEEE Sensors Journal. 2021, 21(20), 23317-23324. ISSN 1530-437X. DOI 10.1109/JSEN.2021.3110009.

Patents

České vysoké učení technické v Praze, Praha 6, Dejvice, CZ; ETH Zurich, 8092 Zurich, CH. Způsob využití efektů vzniklých v obrazech v důsledku relativního pohybu zařízení pro snímání obrazů vůči scéně nebo části scény a zařízení pro provádění tohoto způsobu. Inventors: Č. ALBL, et al. Czechia. Patent CZ 309023. 2021-10-20. Available from: https://isdv.upv.cz/doc/FullFiles/Patents/FullDocuments/309/309023.pdf

Conference Proceedings

MCCRAITH, R., L. NEUMANN, and A. VEDALDI. Real time monocular vehicle velocity estimation using synthetic data. In: Proceedings of 2021 IEEE Intelligent Vehicles Symposium (IV). 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, 2021-07-11/2021-07-17. Piscataway: IEEE, 2021. p. 1406-1412. ISBN 978-1-7281-5394-0. DOI 10.1109/IV48863.2021.9575204.

PATEL, Y. and J. MATAS. FEDS -- Filtered Edit Distance Surrogate. In: ICDAR2021: 16th IAPR International Conference on Document Analysis and Recognition. Lausanne, 2021-09-05/2021-09-10. Cham: Springer International Publishing, 2021. p. 171-186. LNCS. vol. 12824. ISSN 0302-9743. ISBN 978-3-030-86336-4. DOI 10.1007/978-3-030-86337-1_12.

DJUKANOVIC, S., et al. Neural network-based acoustic vehicle counting. In: 29th European Signal Processing Conference (EUSIPCO). Dublin (virtual), 2021-08-23/2021-08-27. New Jersey: IEEE Signal Processing Society, 2021. p. 561-565. ISSN 2076-1465. ISBN 9789082797060. DOI 10.23919/EUSIPCO54536.2021.9615925. Available from: https://ieeexplore.ieee.org/document/9615925

KRISTAN, M., et al. The Ninth Visual Object Tracking VOT2021 Challenge Results. In: ICCVW2021: The Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. New York: IEEE, 2021. p. 2711-2738. ISSN 2473-9944. ISBN 978-1-6654-0191-3. DOI 10.1109/ICCVW54120.2021.00305. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9607833

VOJÍŘ, T., I. BUDVYTIS, and R. CIPOLLA. Efficient Large-Scale Semantic Visual Localization in 2D Maps. In: ISHIKAWA, H., et al., eds. ACCV2020: Proceedings of the 15th Asian Conference on Computer Vision - Part III. ACCV 2020: Proceedings of the 14th Asian Conference on Computer Vision, Kyoto, 2020-11-30/2020-12-04. Cham: Springer, 2021. p. 273-288. LNCS. vol. 12624. ISSN 0302-9743. ISBN 978-3-030-69534-7. DOI 10.1007/978-3-030-69535-4_17.

QIAN, Y., et al. DAL: A Deep Depth-Aware Long-term Tracker. In: 2020 25th International Conference on Pattern Recognition (ICPR). ICPR2020: 25th International Conference on Pattern Recognition, Milan, 2021-01-10/2021-01-15. Los Alamitos: IEEE Computer Society, 2021. p. 7825-7832. ISSN 1051-4651. ISBN 978-1-7281-8808-9. DOI 10.1109/ICPR48806.2021.9412984. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9412984

ŠUBRTOVÁ, A., J. ČECH, and V. FRANC. Hairstyle Transfer between Face Images. In: Proc. of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021 (FG 2021). 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), Jodhpur, 2021-12-15/2021-12-18. Los Alamitos: IEEE Computer Society Press, 2021. ISBN 978-1-6654-3176-7. DOI 10.1109/FG52635.2021.9667038. Available from: https://ieeexplore.ieee.org/document/9667038

QIAN, Y., et al. Fast Fourier Intrinsic Network. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, 2021-01-05/2021-01-09. USA: IEEE Computer Society, 2021. p. 3168-3177. ISBN 978-0-7381-4266-1. DOI 10.1109/WACV48630.2021.00321. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9423230

KRÁLÍČEK, J. and J. MATAS. Fast Text vs. Non-text Classification of Images. In: ICDAR2021: 16th IAPR International Conference on Document Analysis and Recognition. Lausanne, 2021-09-05/2021-09-10. Cham: Springer International Publishing, 2021. p. 18-32. LNCS. vol. 12824. ISSN 0302-9743. ISBN 978-3-030-86336-4. DOI 10.1007/978-3-030-86337-1_2.

ROZUMNYI, D., et al. FMODetect: Robust Detection of Fast Moving Objects. In: ICCV2021: Proceedings of the International Conference on Computer Vision. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. Piscataway: IEEE, 2021. p. 3521-3529. ISSN 2380-7504. ISBN 978-1-6654-2812-5. DOI 10.1109/ICCV48922.2021.00352. Available from: https://openaccess.thecvf.com/content/ICCV2021/html/Rozumnyi_FMODetect_Robust_Detection_of_Fast_Moving_Objects_ICCV_2021_paper.html

DING, Y., D. BARÁTH, and Z. KÚKELOVÁ. Homography-based Egomotion Estimation Using Gravity and SIFT Features. In: ACCV 2020: Proceedings of the 14th Asian Conference on Computer Vision, Part I. ACCV 2020: Proceedings of the 14th Asian Conference on Computer Vision, Kyoto, 2020-11-30/2020-12-04. Cham: Springer, 2021. p. 278-294. LNCS. vol. 12622. ISSN 0302-9743. ISBN 978-3-030-69524-8. DOI 10.1007/978-3-030-69525-5_17.

VOJÍŘ, T., et al. Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling. In: ICCV2021: Proceedings of the International Conference on Computer Vision. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. Piscataway: IEEE, 2021. p. 15651-15660. ISSN 2380-7504. ISBN 978-1-6654-2812-5. DOI 10.1109/ICCV48922.2021.01536. Available from: https://openaccess.thecvf.com/content/ICCV2021/papers/Vojir_Road_Anomaly_Detection_by_Partial_Image_Reconstruction_With_Segmentation_Coupling_ICCV_2021_paper.pdf

SHEKHOVTSOV, O. Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. In: Proceedings of the 43rd DAGM German Conference (DAGM GCPR 2021). GCPR 2021: German Conference on Pattern Recognition DAGM, Bonn, 2021-09-28/2021-10-01. Cham: Springer, 2021. p. 127-141. LNCS. vol. 13024. ISSN 0302-9743. ISBN 978-3-030-92658-8. DOI 10.1007/978-3-030-92659-5_8.

NEORAL, M., J. ŠOCHMAN, and J. MATAS. Monocular Arbitrary Moving Object Discovery and Segmentation. In: BMVC2021: The Proceedings of the 32nd British Machine Vision Conference. BMVC2021: The 32nd British Machine Vision Conference, Online, 2021-11-22/2021-11-25. London: British Machine Vision Association, 2021. Available from: https://www.bmvc2021-virtualconference.com/assets/papers/1500.pdf

PATEL, Y., S. APPALARAJU, and R. MANMATHA. Saliency Driven Perceptual Image Compression. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). Waikoloa, HI, 2021-01-05/2021-01-09. New York: Institute of Electrical and Electronics Engineers, 2021. p. 227-236. ISBN 978-0-7381-4266-1. DOI 10.1109/WACV48630.2021.00027. Available from: https://ieeexplore.ieee.org/document/9423363

ROZUMNYI, D., et al. DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2021-06-20/2021-06-25. USA: IEEE Computer Society, 2021. p. 3455-3464. ISSN 2575-7075. ISBN 978-1-6654-4509-2. DOI 10.1109/CVPR46437.2021.00346. Available from: https://ieeexplore.ieee.org/document/9577579

SHEKHOVTSOV, O. and V. YANUSH. Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. In: Proceedings of the 43rd DAGM German Conference (DAGM GCPR 2021). GCPR 2021: German Conference on Pattern Recognition DAGM, Bonn, 2021-09-28/2021-10-01. Cham: Springer, 2021. p. 111-126. LNCS. vol. 13024. ISSN 0302-9743. ISBN 978-3-030-92658-8. DOI 10.1007/978-3-030-92659-5_7.

CHAMIDULLIN, R., et al. A deep learning method for visual recognition of snake species. In: Proceedings of the 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum. CLEF2021 - Conference and Labs of the Evaluation Forum, Bucharest, 2021-09-21/2021-09-24. CEUR Workshop Proceedings, 2021. p. 1512-1525. CEUR Workshop Proceedings. vol. 2936. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2936/paper-128.pdf

HUYNH, L., et al. Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. In: ICCV2021: Proceedings of the International Conference on Computer Vision. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. Piscataway: IEEE, 2021. p. 12747-12756. ISSN 2380-7504. ISBN 978-1-6654-2812-5. DOI 10.1109/ICCV48922.2021.01253. Available from: https://openaccess.thecvf.com/content/ICCV2021/papers/Huynh_Boosting_Monocular_Depth_Estimation_With_Lightweight_3D_Point_Fusion_ICCV_2021_paper.pdf

BHAYANI, S., Z. KÚKELOVÁ, and J. HEIKKILÄ. Computing stable resultant-based minimal solvers by hiding a variable. In: 2020 25th International Conference on Pattern Recognition (ICPR). ICPR2020: 25th International Conference on Pattern Recognition, Milan, 2021-01-10/2021-01-15. Los Alamitos: IEEE Computer Society, 2021. p. 6104-6111. ISSN 1051-4651. ISBN 978-1-7281-8808-9. DOI 10.1109/ICPR48806.2021.9411957. Available from: https://ieeexplore.ieee.org/document/9411957

GAL, I.G., D. BARÁTH, and L. HAJDER. Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes. In: IEEE International Conference on Robotics and Automation (ICRA). 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021-05-30/2021-06-05. IEEE Xplore, 2021. p. 7620-7626. ISSN 2577-087X. ISBN 978-1-7281-9077-8. DOI 10.1109/ICRA48506.2021.9561890. Available from: https://ieeexplore.ieee.org/document/9561890

JANOUŠKOVÁ, K., et al. Text Recognition - Real World Data and Where to Find Them. In: 2020 25th International Conference on Pattern Recognition (ICPR). ICPR2020: 25th International Conference on Pattern Recognition, Milan, 2021-01-10/2021-01-15. Los Alamitos: IEEE Computer Society, 2021. p. 4489-4496. ISSN 1051-4651. ISBN 978-1-7281-8808-9. DOI 10.1109/ICPR48806.2021.9412868. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9412868

HUYNH, L., et al. Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. In: 3DV 2021: Proceedings of the International Conference on 3D Vision. 3DV 2021: International Conference on 3D Vision, Virtual, 2021-12-01/2021-12-03. Los Alamitos, CA: IEEE Computer Soc., 2021. p. 228-238. ISSN 2475-7888. ISBN 978-1-6654-2688-6. DOI 10.1109/3DV53792.2021.00033. Available from: https://ieeexplore.ieee.org/document/9665936

PAVLÍN, T., J. ČECH, and J. MATAS. Ballroom Dance Recognition from Audio Recordings. In: 2020 25th International Conference on Pattern Recognition (ICPR). ICPR2020: 25th International Conference on Pattern Recognition, Milan, 2021-01-10/2021-01-15. Los Alamitos: IEEE Computer Society, 2021. p. 2142-2149. ISSN 1051-4651. ISBN 978-1-7281-8808-9. DOI 10.1109/ICPR48806.2021.9412255. Available from: https://ieeexplore.ieee.org/document/9412255

DING, Y., et al. Globally Optimal Relative Pose Estimation With Gravity Prior. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2021-06-20/2021-06-25. USA: IEEE Computer Society, 2021. p. 394-403. ISSN 2575-7075. ISBN 978-1-6654-4509-2. DOI 10.1109/CVPR46437.2021.00046. Available from: https://openaccess.thecvf.com/content/CVPR2021/html/Ding_Globally_Optimal_Relative_Pose_Estimation_With_Gravity_Prior_CVPR_2021_paper.html

BARÁTH, D., et al. Efficient Initial Pose-Graph Generation for Global SfM. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2021-06-20/2021-06-25. USA: IEEE Computer Society, 2021. p. 14541-14550. ISSN 2575-7075. ISBN 978-1-6654-4509-2. DOI 10.1109/CVPR46437.2021.01431. Available from: https://openaccess.thecvf.com/content/CVPR2021/html/Barath_Efficient_Initial_Pose-Graph_Generation_for_Global_SfM_CVPR_2021_paper.html

LIVOCHKA, A. and O. SHEKHOVTSOV. Initialization and Transfer Learning of Stochastic Binary Networks from Real-Valued Ones. In: 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGITION WORKSHOPS (CVPRW 2021). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2021-06-20/2021-06-25. New York: IEEE Computer Society Press, 2021. p. 4655-4663. ISSN 2160-7516. ISBN 978-1-6654-4899-4. DOI 10.1109/CVPRW53098.2021.00524. Available from: https://ieeexplore.ieee.org/document/9522752

NGUYEN, P., et al. RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. In: 3DV 2021: Proceedings of the International Conference on 3D Vision. 3DV 2021: International Conference on 3D Vision, Virtual, 2021-12-01/2021-12-03. Los Alamitos, CA: IEEE Computer Soc., 2021. p. 1095-1105. ISSN 2475-7888. ISBN 978-1-6654-2688-6. DOI 10.1109/3DV53792.2021.00117. Available from: https://ieeexplore.ieee.org/document/9665841

NEUMANN, L. and A. VEDALDI. Pedestrian and Ego-vehicle Trajectory Prediction from Monocular Camera. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2021-06-20/2021-06-25. USA: IEEE Computer Society, 2021. p. 10199-10207. ISSN 2575-7075. ISBN 978-1-6654-4509-2. DOI 10.1109/CVPR46437.2021.01007. Available from: https://ieeexplore.ieee.org/document/9577864

BARÁTH, D., et al. Image Stitching with Locally Shared Rotation Axis. In: 3DV 2021: Proceedings of the International Conference on 3D Vision. 3DV 2021: International Conference on 3D Vision, Virtual, 2021-12-01/2021-12-03. Los Alamitos, CA: IEEE Computer Soc., 2021. p. 1382-1391. ISSN 2475-7888. ISBN 978-1-6654-2688-6. DOI 10.1109/3DV53792.2021.00145. Available from: https://ieeexplore.ieee.org/abstract/document/9665873

DING, Y., D. BARÁTH, and Z. KÚKELOVÁ. Minimal solutions for panoramic stitching given gravity prior. In: ICCV2021: Proceedings of the International Conference on Computer Vision. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. Piscataway: IEEE, 2021. p. 5579-5588. ISSN 1550-5499. ISBN 978-1-6654-2813-2. DOI 10.1109/ICCV48922.2021.00553.

BHAYANI, S., et al. Calibrated and Partially Calibrated Semi-Generalized Homographies. In: ICCV2021: Proceedings of the International Conference on Computer Vision. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. Piscataway: IEEE, 2021. p. 5916-5925. ISSN 2380-7504. ISBN 978-1-6654-2812-5. DOI 10.1109/ICCV48922.2021.00588. Available from: https://openaccess.thecvf.com/content/ICCV2021/papers/Bhayani_Calibrated_and_Partially_Calibrated_Semi-Generalized_Homographies_ICCV_2021_paper.pdf

IVASHECHKIN, M., D. BARÁTH, and J. MATAS. VSAC: Efficient and Accurate Estimator for H and F. In: ICCV2021: Proceedings of the International Conference on Computer Vision. ICCV2021: IEEE International Conference on Computer Vision, Montreal, 2021-10-11/2021-10-17. Piscataway: IEEE, 2021. p. 15223-15232. ISSN 2380-7504. ISBN 978-1-6654-2812-5. DOI 10.1109/ICCV48922.2021.01496. Available from: https://ieeexplore.ieee.org/document/9710283

Dissertations

MISHKIN, D. Learning and Crafting for the Wide Multiple Baseline Stereo. Defense date 2021-12-16. PhD Thesis. CTU FEE. Visual Recognition Group.

HODAŇ, T. Pose Estimation of Specific Rigid Objects. Praha: Defense date 2021-07-07. PhD Thesis. CTU FEE. Department of Cybernetics. Supervised by J. MATAS.

Research Reports

BELLAVIA, F. and D. MISHKIN. HarrisZ+: Harris corner selection for next-gen image matching pipelines. [Research Report] 2021.

DOUZE, M., et al. The 2021 Image Similarity Dataset and Challenge. [Research Report] ArXiv, 2021.

PATEL, Y., G. TOLIAS, and J. MATAS. Recall@k Surrogate Loss with Large Batches and Similarity Mixup. [Research Report] ArXiv, 2021.

13133 / 13163 - Biomedical imaging algorithms

Publications 2021

Papers in WoS Journals

BIHONEGN, T., et al. Geodesic fiber tracking in white matter using activation function. Computer Methods and Programs in Biomedicine. 2021, Volume 208 ISSN 1872-7565. DOI 10.1016/j.cmpb.2021.106283. Available from: https://www.sciencedirect.com/science/article/pii/S0169260721003576?via%3Dihub

Conference Proceedings

BARUČIĆ, D., et al. Automatic evaluation of human oocyte developmental potential from microscopy images. In: 17th International Symposium on Medical Information Processing and Analysis. Campinas, 2021-11-17/2021-11-19. Bellingham (stát Washington): SPIE, 2021. ISSN 0277-786X. ISBN 978-1-5106-5052-7. DOI 10.1117/12.2604010.

KOSTELANSKÝ, M., et al. Differentiating between stable and progressive carotid atherosclerotic plaques from in-vivo ultrasound images using texture descriptors. In: 17th International Symposium on Medical Information Processing and Analysis. Campinas, 2021-11-17/2021-11-19. Bellingham (stát Washington): SPIE, 2021. ISSN 0277-786X. ISBN 978-1-5106-5052-7. DOI 10.1117/12.2605795.

BANSAL, A., et al. Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor. In: 17th International Symposium on Medical Information Processing and Analysis. Campinas, 2021-11-17/2021-11-19. Bellingham (stát Washington): SPIE, 2021. p. 228-235. ISSN 0277-786X. ISBN 978-1-5106-5052-7. DOI 10.1117/12.2606129.

KAUSHIK, S., et al. Potential Biomarkers From Positive Definite 4th Order Tensors In Hardi. In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). International Symposium on Biomedical Imaging, Nice, 2021-04-13/2021-04-16. New Jersey: IEEE Signal Processing Society, 2021. p. 1003-1006. ISSN 1945-8452. ISBN 978-1-6654-1246-9. DOI 10.1109/ISBI48211.2021.9434144. Available from: https://ieeexplore.ieee.org/document/9434144

13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2021

Papers in WoS Journals

ŠALANSKÝ, V., et al. Pose consistency KKT-loss for weakly supervised learning of robot-terrain interaction model. IEEE Robotics and Automation Letters. 2021, 6(3), 5477-5484. ISSN 2377-3766. DOI 10.1109/LRA.2021.3076957. Available from: https://ieeexplore.ieee.org/abstract/document/9420234

Papers in Other Journals

HOFFMANN, M., et al. Robot in the Mirror: Toward an Embodied Computational Model of Mirror Self-Recognition. KI - Künstliche Intelligenz, German Journal on Artificial Intelligence. 2021, 35(1), 37-51. ISSN 0933-1875. DOI 10.1007/s13218-020-00701-7.

Books, Book Chapters and Lecture Notes

HOFFMANN, M. Body models in humans, animals, and robots: mechanisms and plasticity. In: ATARIA, Y., S. TANAKA, and S. GALLAGHER, eds. Body Schema and Body Image: New Directions. Oxford: Oxford University Press, 2021. p. 152-180. ISBN 9780198851721. DOI 10.1093/oso/9780198851721.003.0010.

Conference Proceedings

ROZLIVEK, J., et al. Multisensorial robot calibration framework and toolbox. In: 2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids). Munich, 2021-07-19/2021-11-21. Piscataway: IEEE, 2021. p. 459-466. ISSN 2164-0580. ISBN 978-1-7281-9372-4. DOI 10.1109/HUMANOIDS47582.2021.9555803. Available from: https://ieeexplore.ieee.org/document/9555803

BEHRENS, J., et al. Embodied Reasoning for Discovering Object Properties via Manipulation. In: IEEE International Conference on Robotics and Automation (ICRA). 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021-05-30/2021-06-05. IEEE Xplore, 2021. p. 10139-10145. ISSN 2577-087X. ISBN 978-1-7281-9077-8. DOI 10.1109/ICRA48506.2021.9561212. Available from: https://ieeexplore.ieee.org/abstract/document/9561212

CVRČEK, V. and R. ŠÁRA. On Fast Matched Filter for Streak Detection and Ranking. In: Proceedings of the 8th European Conference on Space Debris. 8th European Conference on Space Debris, Darmstadt, 2021-04-20/2021-04-24. Darmstadt: ESA Space Debris Office, 2021. 8. vol. 1. Available from: https://conference.sdo.esoc.esa.int/proceedings/sdc8/paper/80

ŠVARNÝ, P., et al. 3D Collision-Force-Map for Safe Human-Robot Collaboration. In: IEEE International Conference on Robotics and Automation (ICRA). 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021-05-30/2021-06-05. IEEE Xplore, 2021. p. 3829-3835. ISSN 2577-087X. ISBN 978-1-7281-9077-8. DOI 10.1109/ICRA48506.2021.9561845. Available from: https://ieeexplore.ieee.org/document/9561845

Dissertations

HOFFMANN, M. Learning body models: from humans to humanoids. Defense date 2022-10-12. Associate Professor Thesis. CTU FEE. Vision for Robotics and Autonomous Systems.

13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2021

Papers in WoS Journals

MODRÁK, M., et al. Disease progression of 213 patients hospitalized with Covid-19 in the Czech Republic in March–October 2020: An exploratory analysis. PLoS ONE. 2021, 16(10), ISSN 1932-6203. DOI 10.1371/journal.pone.0245103. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245103

ANYZ, J., et al. Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study. JMIR Mental Health. 2021, 8(8), ISSN 2368-7959. DOI 10.2196/26348.

LUKAVSKÁ, K., et al. School-Based Prevention of Screen-Related Risk Behaviors during the Long-Term Distant Schooling Caused by COVID-19 Outbreak. International Journal of Environmental Research and Public Health. 2021, 18(16), ISSN 1660-4601. DOI 10.3390/ijerph18168561. Available from: https://www.mdpi.com/1660-4601/18/16/8561/htm

DUŠEK, P., et al. Associations of Brain Atrophy and Cerebral Iron Accumulation at MRI with Clinical Severity in Wilson Disease. Radiology. 2021, 299(3), 662-672. ISSN 0033-8419. DOI 10.1148/radiol.2021202846.

KRETZLER, L., et al. The effects of interventional mitral valve repair using the MitraClip System on the results of pulmonary function testing, pulmonary pressure and diffusing capacity of the lung. BMC Cardiovascular Disorders. 2021, 21(235), ISSN 1471-2261. DOI 10.1186/s12872-021-02042-1.

UHLÍŘOVÁ, J., et al. Nucleoporin TPR Affects C2C12 Myogenic Differentiation via Regulation of Myh4 Expression. Cells. 2021, 10(6), ISSN 2073-4409. DOI 10.3390/cells10061271. Available from: https://doi.org/10.3390/cells10061271

ŽEGKLITZ, J. and P. POŠÍK. Benchmarking state-of-the-art symbolic regression algorithms. Genetic Programming and Evolvable Machines. 2021, 22(1), 5-33. ISSN 1573-7632. DOI 10.1007/s10710-020-09387-0. Available from: https://link.springer.com/article/10.1007/s10710-020-09387-0

Papers in Other Journals

PROKOP, J. Future directions in natural language processing applications in smoking cessation therapy. Adiktologie. 2021, 21(1), 51-57. ISSN 1213-3841. DOI 10.35198/01-2021-001-0003.

Conference Proceedings

NOVÁK, P. Můj Druhý Hlas (I když nemluvím, tak se domluvím). In: GEORGI, H., ed. Stárnutí 2021 (5. Gerontologická Mezioborová Konference, Praha). Stárnutí 2021, Praha, 2021-02-11/2021-02-12. Praha: Pražská vysoká škola psychosociálních studií, 2021. p. 128-136. ISSN 2695-110X. ISBN 978-80-906237-4-3. Available from: https://konferencestarnuti.cz/files/Starnuti_2021_sbornik.pdf

ŠMELKO, A., et al. GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis. In: Euro-Par 2021: Parallel Processing. Lisabon, 2021-08-30/2021-09-03. Cham: Springer, 2021. p. 580-595. Lecture Notes in Computer Science. vol. 12820. ISSN 0302-9743. ISBN 978-3-030-85664-9. DOI 10.1007/978-3-030-85665-6_36.

13133 / 13167 - Multi-robot Systems

Publications 2021

Papers in WoS Journals

JANOŠ, J., V. VONÁSEK, and R. PĚNIČKA. Multi-Goal Path Planning Using Multiple Random Trees. IEEE Robotics and Automation Letters. 2021, 6 4201-4208. ISSN 2377-3766. DOI 10.1109/LRA.2021.3068679. Available from: https://ieeexplore.ieee.org/document/9385932

KRÁTKÝ, V., et al. An Autonomous Unmanned Aerial Vehicle System for Fast Exploration of Large Complex Indoor Environments. Journal of Field Robotics. 2021, 38(8), 1036-1058. ISSN 1556-4967. DOI 10.1002/rob.22021. Available from: https://onlinelibrary.wiley.com/doi/epdf/10.1002/rob.22021

BÁČA, T., et al. The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles. Journal of Intelligent and Robotic Systems. 2021, 102(1), ISSN 0921-0296. DOI 10.1007/s10846-021-01383-5.

SILANO, G. and L. IANNELLI. MAT-Fly: An Educational Platform for Simulating Unmanned Aerial Vehicles Aimed to Detect and Track Moving Objects. IEEE Access. 2021, 9 39333-39343. ISSN 2169-3536. DOI 10.1109/ACCESS.2021.3064758. Available from: https://ieeexplore.ieee.org/document/9373417

ŠTIBINGER, P., et al. Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment. IEEE Robotics and Automation Letters. 2021, 6(2), 2595-2602. ISSN 2377-3766. DOI 10.1109/LRA.2021.3061377. Available from: https://ieeexplore.ieee.org/document/9361167

SPURNÝ, V., et al. Autonomous Firefighting Inside Buildings by an Unmanned Aerial Vehicle. IEEE Access. 2021, 9 15872-15890. ISSN 2169-3536. DOI 10.1109/ACCESS.2021.3052967. Available from: https://ieeexplore.ieee.org/document/9328798

PETRÁČEK, P., et al. Bio-inspired compact swarms of unmanned aerial vehicles without communication and external localization. Bioinspiration & Biomimetics. 2021, 16(2), ISSN 1748-3182. DOI 10.1088/1748-3190/abc6b3.

KRÁTKÝ, V., et al. Safe Documentation of Historical Monuments by an Autonomous Unmanned Aerial Vehicle. ISPRS International Journal of Geo-Information. 2021, 10(11), ISSN 2220-9964. DOI 10.3390/ijgi10110738. Available from: https://www.mdpi.com/2220-9964/10/11/738

HORLA, D., et al. AL-TUNE: A Family of Methods to Effectively Tune UAV Controllers in In-flight Conditions. Journal of Intelligent and Robotic Systems. 2021, 103(1), 1-16. ISSN 0921-0296. DOI 10.1007/s10846-021-01441-y.

URBAN, M., et al. REX: X-ray experiment on the water recovery rocket. Acta Astronautica. 2021, 184 1-10. ISSN 0094-5765. DOI 10.1016/j.actaastro.2021.03.019.

NURELLARI, E., et al. On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks. IEEE Transactions on Signal and Information Processing over Networks. 2021, 7 236-248. ISSN 2373-776X. DOI 10.1109/TSIPN.2021.3067305.

SILANO, G., et al. Power Line Inspection Tasks with Multi-Aerial Robot Systems via Signal Temporal Logic Specifications. IEEE Robotics and Automation Letters. 2021, 6(2), 4169-4176. ISSN 2377-3766. DOI 10.1109/LRA.2021.3068114. Available from: https://ieeexplore.ieee.org/document/9384182

PETRÁČEK, P., et al. Large-Scale Exploration of Cave Environments by Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. 2021, 6(4), 7596-7603. ISSN 2377-3766. DOI 10.1109/LRA.2021.3098304. Available from: https://ieeexplore.ieee.org/document/9492802

SILVA AMORIM, T., et al. Multi-Robot Sensor Fusion Target Tracking with Observation Constraints. IEEE Access. 2021, 2021 52557-52568. ISSN 2169-3536. DOI 10.1109/ACCESS.2021.3070180. Available from: http://mrs.felk.cvut.cz/data/papers/Thulio_2021a.pdf

NEKOVÁŘ, F., J. FAIGL, and M. SASKA. Multi-tour Set Traveling Salesman Problem in Planning Power Transmission Line Inspection. IEEE Robotics and Automation Letters. 2021, 6(4), 6196-6203. ISSN 2377-3766. DOI 10.1109/LRA.2021.3091695. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9463765

PEREIRA DO NASCIMENTO, T. and M. SASKA. Embedded Fast Nonlinear Model Predictive Control for Micro Aerial Vehicles. Journal of Intelligent and Robotic Systems. 2021, 2021(103), ISSN 1573-0409. DOI 10.1007/s10846-021-01522-y. Available from: https://doi.org/10.1007/s10846-021-01522-y

KRÁTKÝ, V., et al. Autonomous Aerial Filming With Distributed Lighting by a Team of Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. 2021, 6(4), 7580-7587. ISSN 2377-3766. DOI 10.1109/LRA.2021.3098811. Available from: https://ieeexplore.ieee.org/document/9495218

HEIDARI, H. and M. SASKA. Collision-free trajectory planning of multi-rotor UAVs in a wind condition based on modified potential field. Mechanism and Machine Theory. 2021, 156(2), ISSN 0094-114X. DOI 10.1016/j.mechmachtheory.2020.104140.

HEIDARI, H. and M. SASKA. Trajectory Planning of Quadrotor Systems for Various Objective Functions. Robotica. 2021, 39(1), 137-152. ISSN 0263-5747. DOI 10.1017/S0263574720000247.

NOVÁK, F., et al. Fast collective evasion in self-localized swarms of unmanned aerial vehicles. Bioinspiration & Biomimetics. 2021, 16(6), ISSN 1748-3182. DOI 10.1088/1748-3190/ac3060.

Patents

AgentFly Technologies s.r.o.;České vysoké učení technické v Praze. Hybridní navigační a lokalizační jednotka pro bezpilotní letecké systémy. Inventors: M. ROLLO, et al. Czechia. Utility Model CZ 35371. 2021-09-07. Available from: https://isdv.upv.cz/webapp/resdb.print_detail.det?pspis=PUV/38420&plang=CS

Papers in Other Journals

JINDAL, K., et al. Design and deployment of an autonomous unmanned ground vehicle for urban firefighting scenarios. Field Robotics. 2021, 1 186-202. ISSN 2771-3989. DOI 10.55417/fr.2021007. Available from: https://fieldrobotics.net/Field_Robotics/Volume_1_files/7_Jindal.pdf

Conference Proceedings

HORYNA, J., T. BÁČA, and M. SASKA. Autonomous Collaborative Transport of a Beam-Type Payload by a Pair of Multi-rotor Helicopters. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 1139-1147. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476789. Available from: https://ieeexplore.ieee.org/abstract/document/9476789

SILANO, G., et al. A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 1624-1629. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476813. Available from: https://ieeexplore.ieee.org/document/9476813

BÁČA, T., et al. Gamma Radiation Source Localization for Micro Aerial Vehicles with a Miniature Single-Detector Compton Event Camera. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 338-346. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476766. Available from: https://ieeexplore.ieee.org/abstract/document/9476766

STASINCHUK, Y., et al. A Multi-UAV System for Detection and Elimination of Multiple Targets. In: IEEE International Conference on Robotics and Automation (ICRA). 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021-05-30/2021-06-05. IEEE Xplore, 2021. p. 555-561. ISSN 2577-087X. ISBN 978-1-7281-9077-8. DOI 10.1109/ICRA48506.2021.9562057. Available from: http://mrs.felk.cvut.cz/data/papers/stasinchuk2021ICRA.pdf

SILVA AMORIM, T., et al. Self-Organized UAV Flocking Based on Proximal Control. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 1374-1382. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476847. Available from: http://mrs.felk.cvut.cz/data/papers/ICUAS_Thulio.pdf

AHMAD, A., et al. Autonomous Aerial Swarming in GNSS-denied Environments with High Obstacle Density. In: IEEE International Conference on Robotics and Automation (ICRA). 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021-05-30/2021-06-05. IEEE Xplore, 2021. p. 570-576. ISSN 2577-087X. ISBN 978-1-7281-9077-8. DOI 10.1109/ICRA48506.2021.9561284. Available from: http://mrs.felk.cvut.cz/data/papers/afzal2021Icra.pdf

BONILLA LICEA, D., et al. Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations. In: 29th European Signal Processing Conference (EUSIPCO). Dublin (virtual), 2021-08-23/2021-08-27. New Jersey: IEEE Signal Processing Society, 2021. p. 1586-1590. ISSN 2076-1465. ISBN 9789082797060. DOI 10.23919/EUSIPCO54536.2021.9616232. Available from: https://ieeexplore.ieee.org/document/9616232

WALTER, V., et al. Extinguishing of Ground Fires by Fully Autonomous UAVs Motivated by the MBZIRC 2020 Competition. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 787-793. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476723. Available from: https://ieeexplore.ieee.org/document/9476723

TERLIZZI, M., et al. A Vision-Based Algorithm for a Path Following Problem. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 1630-1635. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476777. Available from: https://ieeexplore.ieee.org/document/9476777

SMRČKA, D., et al. Admittance Force-Based UAV-Wall Stabilization and Press Exertion for Documentation and Inspection of Historical Buildings. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 552-559. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476873. Available from: http://mrs.felk.cvut.cz/data/papers/ICUAS_Dan.pdf

BEN-ABOUD, Y., et al. On adaptive sampling algorithms for IoT devices. In: ICC 2021 - IEEE International Conference on Communications. Montreal, 2021-06-14/2021-06-23. New York: IEEE, 2021. ISSN 1550-3607. ISBN 978-1-7281-7122-7. DOI 10.1109/ICC42927.2021.9500326.

DMYTRUK, A., et al. Safe Tightly-Constrained UAV Swarming in GNSS-denied Environments. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 1391-1399. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476794. Available from: http://mrs.felk.cvut.cz/data/papers/ICUAS_Andry.pdf

DEMKIV, L., et al. An Application of Stereo Thermal Vision for Preliminary Inspection of Electrical Power Lines by MAVs. In: 2021 Aerial Robotic Systems Physically Interacting with the Environment (AIRPHARO). https://sites.google.com/view/airpharo2021/home, 2021-10-04/2021-10-05. Piscataway: IEEE Industrial Electronics Society, 2021. 1th. ISBN 978-1-6654-3389-1. DOI 10.1109/AIRPHARO52252.2021.9571025. Available from: https://ieeexplore.ieee.org/document/9571025

PRITZL, V., P. ŠTĚPÁN, and M. SASKA. Autonomous Flying into Buildings in a Firefighting Scenario. In: IEEE International Conference on Robotics and Automation (ICRA). 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, 2021-05-30/2021-06-05. IEEE Xplore, 2021. p. 239-245. ISSN 2577-087X. ISBN 978-1-7281-9077-8. DOI 10.1109/ICRA48506.2021.9560789. Available from: https://ieeexplore.ieee.org/document/9560789

VICK, A., M. RUDORFER, and V. VONÁSEK. Benchmark Concept for Industrial Pick&Place Applications. In: MMM 2021: Proceedings of the Modern Materials and Manufacturing. MMM2021: Modern Materials and Manufacturing, Tallinn, 2021-04-27/2021-04-29. Madeira: IOPscience, 2021. IOP Conference Series: Materials Science and Engineering. vol. 1140. ISSN 1757-899X. DOI 10.1088/1757-899X/1140/1/012014. Available from: https://iopscience.iop.org/article/10.1088/1757-899X/1140/1/012014/pdf

PETRLÍK, M., T. KRAJNÍK, and M. SASKA. LIDAR-based Stabilization, Navigation and Localization for UAVs Operating in Dark Indoor Environments. In: VALAVANIS, K., ed. 2021 International Conference on Unmanned Aircraft Systems (ICUAS). 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, 2021-06-15/2021-06-18. IEEE Xplore, 2021. p. 243-251. ISBN 978-0-7381-3115-3. DOI 10.1109/ICUAS51884.2021.9476837. Available from: https://ieeexplore.ieee.org/document/9476837

Research Reports

SILANO, G.S., et al. A framework for power line inspection tasks with multi-robot systems from signal temporal logic specifications. [Research Report] ArXiv, 2021.

13133 / 13168 - Machine Learning

Publications 2021

Papers in WoS Journals

TRETYACHENKO, V., et al. CoLiDe: Combinatorial Library Design tool for probing protein sequence space. Bioinformatics. 2021, 37(4), 482-489. ISSN 1367-4803. DOI 10.1093/bioinformatics/btaa804.

VORÁČEK, V. and M. NAVARA. Generalised Kochen-Specker Theorem in Three Dimensions. FOUNDATIONS OF PHYSICS. 2021, 51 ISSN 0015-9018. DOI 10.1007/s10701-021-00476-3.

BEJINES LÓPEZ, C., S. ARDANZA-TREVIJANO, and J. ELORZA. On Self-Aggregations of Min-Subgroups. Axioms. 2021, 10(3), ISSN 2075-1680. DOI 10.3390/axioms10030201. Available from: https://www.mdpi.com/2075-1680/10/3/201

NAVARA, M. and V. VORÁČEK. Quantum structures without group-valued measures. International Journal of Theoretical Physics. 2021, 60(2), 687-695. ISSN 0020-7748. DOI 10.1007/s10773-019-04058-y.

MRÁZ, F., D. PRŮŠA, and M. WEHAR. Two-dimensional pattern matching against local and regular-like picture languages. Theoretical Computer Science. 2021, 870 137-152. ISSN 0304-3975. DOI 10.1016/j.tcs.2020.12.026.

NAVARA, M. and P. PTÁK. On Frink Ideals in Orthomodular Posets. ORDER-A JOURNAL ON THE THEORY OF ORDERED SETS AND ITS APPLICATIONS. 2021, 38(2), 245-249. ISSN 0167-8094. DOI 10.1007/s11083-020-09537-0.

HROCH, M., M. NAVARA, and P. PTÁK. Quantum logics defined by divisibility conditions. International Journal of Theoretical Physics. 2021, 60(2), 464-467. ISSN 0020-7748. DOI 10.1007/s10773-018-3977-y.

Conference Proceedings

PLÁTEK, M., et al. On separations of LR(0)-grammars by two types of pumping patterns. In: Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). ITAT (Information Technologies – Applications and Theory), Heľpa, 2021-09-24/2021-09-28. Aachen: CEUR Workshop Proceedings, 2021. p. 140-146. vol. 2962. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2962/paper05.pdf

FRANC, V. and A. YERMAKOV. Learning Maximum Margin Markov Networks from examples with missing labels. In: Asian Machine Learning Conference. 13th Asian Conference on Machine Learning, virtually, 2021-11-17/2021-11-19. Proceedings of Machine Learning Research, 2021. ISSN 2640-3498.

FRANC, V. and A. YERMAKOV. Dominant subject recognition by Bayesian learning. In: Proc. of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021 (FG 2021). 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), Jodhpur, 2021-12-15/2021-12-18. Los Alamitos: IEEE Computer Society Press, 2021. ISBN 978-1-6654-3176-7. DOI 10.1109/FG52635.2021.9666979. Available from: https://ieeexplore.ieee.org/document/9666979

BEJINES LÓPEZ, C. and M. NAVARA. Description of maximal Archimedean t-norms on finite chains. In: MESIAR, R., M. REFORMAT, and M. ŠTĚPNIČKA, eds. IFSA – EUSFLAT 2021 Book of Abstracts. The 19th World Congress of the International Fuzzy Systems Association The 12th Conference of the European Society for Fuzzy Logic and Technology, Bratislava, 2021-09-19/2021-09-24. Bratislava: Slovak University of Technology in Bratislava, 2021. p. 51.

VORÁČEK, V. and M. NAVARA. Generalised Kochen-Specker Theorem in Three Dimensions. In: DZHAFAROV, E.N., ed. The 4th Workshop: Quantum Contextuality in Quantum Mechanics and Beyond. online, 2021-05-17/2021-05-21. West Lafayette, Indiana: Purdue University, 2021. p. 34. Available from: http://www.psych.purdue.edu/~ehtibar/QCQMB2021/files/0AbstractsQCQMB2021.pdf

DLASK, T., T. WERNER, and S. DE GIVRY. Bounds on Weighted CSPs Using Constraint Propagation and Super-Reparametrizations. In: 27th International Conference on Principles and Practice of Constraint Programming. Montpellier (Virtual Conference), 2021-10-25/2021-10-29. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2021. ISSN 1868-8969. ISBN 978-3-95977-211-2. DOI 10.4230/LIPIcs.CP.2021.23.

YERMAKOV, A. and V. FRANC. CNN Based Predictor of Face Image Quality. In: Pattern Recognition. ICPR International Workshops and Challenges, Part VI. ICPR2020: 25th International Conference on Pattern Recognition, Milan, 2021-01-10/2021-01-15. Cham: Springer International Publishing, 2021. p. 679-693. LNCS. vol. 12666. ISSN 0302-9743. ISBN 978-3-030-68779-3. DOI 10.1007/978-3-030-68780-9_52.

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