13133 / 13162 - Visual Recognition Group

Publications 2026

Papers in WoS Journals

KOCUR, V., et al. Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation?. International Journal of Computer Vision. 2026, 134(2), ISSN 0920-5691. DOI 10.1007/s11263-025-02657-3.

ALAWODE, B., et al. Predicting the Best of N Visual Trackers. IEEE Access. 2026, 14 1075-1087. ISSN 2169-3536. DOI 10.1109/ACCESS.2025.3646749. Available from: https://ieeexplore.ieee.org/abstract/document/11308076

ALAWODE, B., et al. Underwater visual tracking with a large scale dataset and image enhancement. Neurocomputing. 2026, 671 ISSN 0925-2312. DOI 10.1016/j.neucom.2025.132586.

Patents

CZECH TECHNICAL UNIVERSITY IN PRAGUE; TOYOTA JIDOSHA KABUSHIKI KAISHA. SURFACE IDENTIFICATION METHOD, TRAINING METHOD, COMPUTER PROGRAM, COMPUTER READABLE MEDIUM, SURFACE IDENTIFICATION SYSTEM AND CONTROL SYSTEM. Inventors: T. VOJÍŘ, J. MATAS, and N. CHUMERIN. European Patent Office. Patent EP4339907. 2026-02-11. Available from: https://patents.google.com/patent/EP4339907A1/en?oq=EP4339907

TOYOTA JIDOSHA KABUSHIKI KAISHA; CZECH TECHNICAL UNIVERSITY IN PRAGUE. SURFACE IDENTIFICATION METHOD AND SYSTEM, TRAINING METHOD AND SYSTEM FOR THE SURFACE IDENTIFICATION SYSTEM, COMPUTER PROGRAM, COMPUTER-READABLE MEDIUM. Inventors: T. VOJÍŘ, et al. European Patent Office. Patent EP4145406. 2026-03-18. Available from: https://patents.google.com/patent/EP4145406A1/en?oq=EP4145406

TOYOTA JIDOSHA KABUSHIKI KAISHA, Aichi-Ken 471-8571, Japonsko;Czech Technical University in Prague, 16627 Praha 6, Česká republika. PLANAR OBJECT TRACKING METHOD AND SYSTEM, AND TRAINING METHOD. Inventors: N. CHUMERIN, J. ŠERÝCH, and J. MATAS. European Patent Office. Patent EP4386670. 2026-04-15. Available from: https://data.epo.org/publication-server/rest/v1.2/patents/EP4386670NWA1/document.pdf

Papers in Other Journals

BOSÁK, Š., M. ČAPEK, and J. MATAS. Antenna Q-Factor Topology Optimization With Auxiliary Edge Resistivities. IEEE Open Journal of Antennas and Propagation. 2026, 7(2), 690-703. ISSN 2637-6431. DOI 10.1109/OJAP.2025.3613514. Available from: https://ieeexplore.ieee.org/document/11176832

Conference Proceedings

PICEK, L., et al. Overview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. In: Proceedings of the CLEF 2025: Experimental IR Meets Multilinguality, Multimodality, and Interaction. International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2025), Madrid, 2025-09-09/2025-09-12. Cham: Springer International Publishing, 2026. p. 338-362. LNCS. vol. 16089. ISSN 1611-3349. ISBN 978-3-032-04354-2. DOI 10.1007/978-3-032-04354-2_19. Available from: https://link.springer.com/chapter/10.1007/978-3-032-04354-2_19

JAHODA, P., et al. Predicting Sources of High Vertical Acceleration on the Road by Preceding Vehicle Observation. In: RÖNING, J. and J. FILIPE, eds. Robotics, Computer Vision and Intelligent Systems. 5th International Conference, ROBOVIS 2025, Porto, Portugal, February 25–27, 2025, Proceedings. 5th International Conference, ROBOVIS 2025, Porto, 2025-02-25/2026-01-27. Cham: Springer, 2026. p. 1-14. Communications in Computer and Information Science. vol. 2629. ISSN 1865-0937. ISBN 978-3-032-00986-9. DOI 10.1007/978-3-032-00986-9_1. Available from: https://doi.org/10.1007/978-3-032-00986-9_1

PSOMAS, V., et al. Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency. In: ICLR 2026: the Proccedings of the 14th International Conference on Learning Representations. ICLR 2026: The 14th International Conference on Learning Representations, Rio de Janeiro, 2026-04-23/2026-04-27. International Conference on Learning Representations, 2026. Available from: https://openreview.net/forum?id=PXo0gtT7Al

ŠPETLÍK, R., et al. Identity Verification from Human Scent using Channel Representation of 2D Gas Chromatography-Mass Spectrometry Data. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision, Tucson, Arizona, 2026-03-06/2026-03-10. USA: IEEE Computer Society, 2026. p. 1471-1480.

PETRŽELKOVÁ, N. and J. ČECH. Detection of Synthetic Face Images: Accuracy, Robustness, Generalization. In: KEUPER, M. and F. LOCATELLO, eds. Pattern Recognition, 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings. DAGM German Conference on Pattern Recognition, Freiburg, 2025-09-23/2025-09-26. Cham: Springer, 2026. p. 453-468. LNCS. vol. 16125. ISSN 0302-9743. ISBN 978-3-032-12839-3. DOI 10.1007/978-3-032-12840-9_29.

PÁNEK, V., T. SATTLER, and Z. KÚKELOVÁ. Combining Absolute and Semi-generalized Relative Poses for Visual Localization. In: KEUPER, M. and F. LOCATELLO, eds. Pattern Recognition, 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings. DAGM German Conference on Pattern Recognition, Freiburg, 2025-09-23/2025-09-26. Cham: Springer, 2026. p. 518-534. LNCS. vol. 16125. ISSN 0302-9743. ISBN 978-3-032-12839-3. DOI 10.1007/978-3-032-12840-9_33.