13000 / 13133 - Publikace - 2025

13000 / 13133 - katedra kybernetiky

Publikační činnost 2025

Články v časopisech WoS

CÍFKA, M. et al. FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025, 47(2), 755-772. ISSN 0162-8828. DOI 10.1109/TPAMI.2024.3475638.

Články v ostatních periodikách

YAO, X., C. KANG a X. ZHANG. FuzH-PID: Highly controllable and stable DNN for COVID-19 detection via improved stochastic optimization. Expert Systems with Applications. 2025, 268 126323-126342. ISSN 1873-6793. DOI 10.1016/j.eswa.2024.126323. Dostupné z: https://www.sciencedirect.com/science/article/pii/S0957417424031907

13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2025

Stati ve sbornících konferencí

YPSILANTIS, N. a O. CHUM. Co-segmentation Without any Pixel-Level Supervision with Application to Large-Scale Sketch Classification. In: Computer Vision – ACCV 2024, Part X. ACCV2024: the 17th Asian Conference on Computer Vision, Hanoi, 2024-12-08/2024-12-12. Springer Nature Singapore Pte Ltd., 2025. s. 342-358. LNCS. sv. 15481. ISSN 0302-9743. ISBN 978-981-96-0971-0. DOI 10.1007/978-981-96-0972-7_20.

DING, Y. et al. Fundamental matrix estimation using relative depths. In: Computer Vision – ECCV 2024, Part LXXI. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 142-159. LNCS. sv. 15129. ISSN 0302-9743. ISBN 978-3-031-73208-9. DOI 10.1007/978-3-031-73209-6_9.

ŠKVRNA, J. a L. NEUMANN. TCC-Det: Temporarily Consistent Cues for Weakly-Supervised 3D Detection. In: Computer Vision – ECCV 2024, Part XXVI. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 129-145. LNCS. sv. 15084. ISSN 0302-9743. ISBN 978-3-031-73346-8. DOI 10.1007/978-3-031-73347-5_8.

FRANC, V., J. PAPLHÁM a D. PRŮŠA. SCOD: From Heuristics to Theory. In: Computer Vision – ECCV 2024, Part LXXXIV. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 424-441. LNCS. sv. 15142. ISSN 0302-9743. ISBN 978-3-031-72906-5. DOI 10.1007/978-3-031-72907-2_25.

LASKAR, Z. et al. Differentiable product quantization for memory efficient camera relocalization. In: LEONARDIS, A. et al., eds. Computer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXV. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Cham: Springer, 2025. s. 470-489. 1. sv. 15143. ISSN 0302-9743. ISBN 978-3-031-73012-2. DOI 10.1007/978-3-031-73013-9_27.

BARATH, D. et al. StereoGlue: Robust Estimation with Single-Point Solvers. In: Computer Vision – ECCV 2024, Part LVII. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 421-441. LNCS. sv. 15115. ISSN 0302-9743. ISBN 978-3-031-72997-3. DOI 10.1007/978-3-031-72998-0_24.

ŠUMA, P. et al. AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-Level Retrieval. In: Computer Vision – ECCV 2024, Part LIX. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 307-325. LNCS. sv. 15117. ISSN 0302-9743. ISBN 978-3-031-73201-0. DOI 10.1007/978-3-031-73202-7_18.

VOJÍŘ, T., J. ŠOCHMAN a J. MATAS. PixOOD: Pixel-Level Out-of-Distribution Detection. In: Computer Vision – ECCV 2024, Part LX. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Cham: Springer, 2025. s. 93-109. LNCS. sv. 15118. ISSN 0302-9743. ISBN 978-3-031-73026-9. DOI 10.1007/978-3-031-73027-6_6.

WU, Q. et al. Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem. In: Computer Vision – ECCV 2024, Part LXV. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 160-178. LNCS. sv. 15123. ISSN 0302-9743. ISBN 978-3-031-73649-0. DOI 10.1007/978-3-031-73650-6_10.

13133 / 13163 - algoritmy pro biomedicínské zobrazování

Publikační činnost 2025

Stati ve sbornících konferencí

KYBIC, J. et al. Atherosclerotic Plaque Stability Prediction from Longitudinal Ultrasound Images. In: MLMI 2024: MICCAI 2024 Workshop on Machine Learning in Medical Imaging, Part I. MLMI2024: MICCAI2024 Workshop on Machine Learning in Medical Imaging, MARRAKESH, 2024-10-06. Basel: Springer Nature Switzerland AG, 2025. s. 124-132. LNCS. sv. 15241. ISSN 0302-9743. ISBN 978-3-031-73283-6. DOI 10.1007/978-3-031-73284-3_13.

13133 / 13164 - vidění pro roboty a autonomní systémy

Publikační činnost 2025

Články v časopisech WoS

CVRČEK, V. et al. Stellar parameter prediction and spectral simulation using machine learning: A systematic comparison of methods with HARPS observational data. Astronomy & Astrophysics. 2025, 693 ISSN 0004-6361. DOI 10.1051/0004-6361/202451073.

D´ANGELO, G. et al. Event-driven figure-ground organisation model for the humanoid robot iCub. Nature Communications. 2025, 16(1), ISSN 2041-1723. DOI 10.1038/s41467-025-56904-9. Dostupné z: https://doi.org/10.1038/s41467-025-56904-9

ROZLIVEK, J. et al. HARMONIOUS -- Human-like reactive motion control and multimodal perception for humanoid robots. IEEE Transactions on Robotics. 2025, 41 378-393. ISSN 1941-0468. DOI 10.1109/TRO.2024.3502216. Dostupné z: https://ieeexplore.ieee.org/document/10758235/

SHAHRIARI, E. et al. Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control. IEEE Transactions on Robotics. 2025, 41 1039-1058. ISSN 1552-3098. DOI 10.1109/TRO.2024.3521861.

Stati ve sbornících konferencí

NAZARCZUK, M. et al. Closed Loop Interactive Embodied Reasoning for Robot Manipulation. In: 2025 IEEE International Conference on Robotics and Automation (ICRA). 2025 IEEE International Conference on Robotics and Automation (ICRA 2025), Atlanta, 2025-05-19/2025-05-23. Vienna: IEEE Industrial Electronic Society, 2025.

13133 / 13166 - analýza a interpretace biomedicínských dat

Publikační činnost 2025

Články v ostatních periodikách

YAO, X., C. KANG a X. ZHANG. FuzH-PID: Highly controllable and stable DNN for COVID-19 detection via improved stochastic optimization. Expert Systems with Applications. 2025, 268 126323-126342. ISSN 1873-6793. DOI 10.1016/j.eswa.2024.126323. Dostupné z: https://www.sciencedirect.com/science/article/pii/S0957417424031907

13133 / 13167 - multirobotické systémy

Publikační činnost 2025

Články v časopisech WoS

BAKIRCIOGLU, V. et al. Optimization-driven design and experimental validation of a hydraulic robot leg mechanism. Measurement. 2025, 250 ISSN 0263-2241. DOI 10.1016/j.measurement.2025.117096.

SILANO, G. et al. A signal temporal logic approach for task-based coordination of multi-aerial systems: A wind turbine inspection case study. Robotics and Autonomous Systems. 2025, 186(4), 1-16. ISSN 0921-8890. DOI 10.1016/j.robot.2024.104905.

VRBA, M. et al. On Onboard LiDAR-Based Flying Object Detection. IEEE Transactions on Robotics. 2025, 41 593-611. ISSN 1941-0468. DOI 10.1109/TRO.2024.3502494. Dostupné z: https://ieeexplore.ieee.org/document/10758263

BAKIRCIOGLU, V., H. BARGHI JOND a F. YILMAZ. Multi-Objective optimization and thermodynamic analysis of a supercritical CO2 Brayton cycle in a solar-powered multigeneration plant for net-zero emission goals. Energy Conversion and Management. 2025, 328 ISSN 0196-8904. DOI 10.1016/j.enconman.2025.119628.

GHOTAVADEKAR, A. et al. Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets. IEEE Robotics and Automation Letters. 2025, 10(2), 1249-1256. ISSN 2377-3766. DOI 10.1109/LRA.2024.3518096. Dostupné z: https://ieeexplore.ieee.org/document/10803033

Stati ve sbornících konferencí

BONILLA LICEA, D. et al. Harnessing the Potential of Omnidirectional Multi-Rotor Aerial Vehicles in Cooperative Jamming Against Eavesdropping. In: GLOBECOM 2024 - 2024 IEEE Global Communications Conference. Cape Town, 2024-12-08/2025-03-12. Vienna: IEEE Industrial Electronic Society, 2025. s. 2052-2058. ISBN 979-8-3503-5125-5. DOI 10.1109/GLOBECOM52923.2024.10901802. Dostupné z: https://ieeexplore.ieee.org/document/10901802

13133 / 13168 - strojové učení

Publikační činnost 2025

Články v časopisech WoS

BUBÁK, M. a M. NAVARA. Fitting copulas with maximal entropy. Entropy. 2025, 27(1), ISSN 1099-4300. DOI 10.3390/e27010087. Dostupné z: https://www.mdpi.com/1099-4300/27/1/87

Stati ve sbornících konferencí

FRANC, V., J. PAPLHÁM a D. PRŮŠA. SCOD: From Heuristics to Theory. In: Computer Vision – ECCV 2024, Part LXXXIV. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer, Cham, 2025. s. 424-441. LNCS. sv. 15142. ISSN 0302-9743. ISBN 978-3-031-72906-5. DOI 10.1007/978-3-031-72907-2_25.

Stránka vytvořena 26.03.2025 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.