13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2023

Články v časopisech WoS

JAVED, S. et al. Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023, 45(5), 6552-6574. ISSN 0162-8828. DOI 10.1109/TPAMI.2022.3212594.

DAI, D. et al. Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023, 45(1), 123-136. ISSN 0162-8828. DOI 10.1109/TPAMI.2022.3155643.

Patenty a užitné vzory

TOYOTA MOTOR CO LTD [JP]; CZECH TECHNICAL UNIVERSITY IN PRAGUE [CZ]. MONOCULAR-VISION-BASED DETECTION OF MOVING OBJECTS. Původci: M. NEORAL et al. European Patent Office. Patent EP4174770. 2023-11-29. Dostupné z: https://worldwide.espacenet.com/patent/search/family/078414437/publication/EP4174770B1?q=pn%3DEP4174770B1

České vysoké učení technické v Praze. EFFICIENT UNCONSTRAINED STROKE DETECTOR. Původci: M. BUŠTA, L. NEUMANN a J. MATAS. European Patent Office. Patent EP3380990. 2023-06-07. Dostupné z: https://worldwide.espacenet.com/patent/search/family/054979874/publication/EP3380990B1?q=EP3380990B1

Články v ostatních periodikách

PELHAN, J. et al. Guided Video Object Segmentation by Tracking. Electrotechnical Review. 2023, 90(4), 147-158. ISSN 0013-5852.

Stati ve sbornících konferencí

VENTURA, J. et al. P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. s. 19694-19704. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01809.

ŠERÝCH, J. a J. MATAS. Planar Object Tracking via Weighted Optical Flow. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. s. 1593-1602. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00164. Dostupné z: https://ieeexplore.ieee.org/document/10030801

DOGOULIS, P. et al. Improving Synthetically Generated Image Detection in Cross-Concept Settings. In: 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23). ACM International Conference on Multimedia Retrieval (ICMR '23), Thessaloniki, 2023-06-12/2023-06-15. New York: ACM, 2023. s. 28-35. ISBN 979-8-4007-0187-0. DOI 10.1145/3592572.3592846.

PAPLHÁM, J., V. FRANC a D. LŽÍČAŘOVÁ. Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 18th International Joint Conference on Computer Vision Theory and Applications, Lisboa, 2023-02-19/2023-02-21. Setùbal: SciTePress, 2023. s. 777-784. sv. 4. ISSN 2184-4321. ISBN 978-989-758-634-7. DOI 10.5220/0011616100003417.

PICEK, L. et al. Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost. In: Proceedings of the Working Notes of CLEF 2023. clef2023: 14th International Conference of the CLEF Association, Thessaloniki, 2023-09-18/2023-09-21. Aachen: CEUR Workshop Proceedings, 2023. s. 1943-1953. sv. 3497. ISSN 1613-0073.

ŠIMSA, Š. et al. Overview of DocILE 2023: Document Information Localization and Extraction. In: Proceedings of the CLEF 2023: Experimental IR Meets Multilinguality, Multimodality, and Interaction. clef2023: 14th International Conference of the CLEF Association, Thessaloniki, 2023-09-18/2023-09-21. Cham: Springer, 2023. s. 276-293. LNCS. sv. 14163. ISSN 0302-9743. ISBN 978-3-031-42447-2. DOI 10.1007/978-3-031-42448-9_21.

ŠIMSA, Š. et al. Extended Overview of DocILE 2023: Document Information Localization and Extraction. In: Proceedings of the Working Notes of CLEF 2023. clef2023: 14th International Conference of the CLEF Association, Thessaloniki, 2023-09-18/2023-09-21. Aachen: CEUR Workshop Proceedings, 2023. s. 546-571. sv. 3497. ISSN 1613-0073.

VOJÍŘ, T. a J. MATAS. Image-Consistent Detection of Road Anomalies As Unpredictable Patches. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. s. 5480-5489. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00545. Dostupné z: https://openaccess.thecvf.com/content/WACV2023/html/Vojir_Image-Consistent_Detection_of_Road_Anomalies_As_Unpredictable_Patches_WACV_2023_paper.html

WEI, T. et al. Generalized Differentiable RANSAC. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. s. 17603-17614. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01618.

ROZUMNYI, D. et al. Tracking by 3D Model Estimation of Unknown Objects in Videos. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. s. 14040-14050. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01295.

PÁNEK, V., Z. KÚKELOVÁ a T. SATTLER. Visual Localization using Imperfect 3D Models from the Internet. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. s. 13175-13186. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.01266. Dostupné z: https://ieeexplore.ieee.org/document/10204034

KORDOPATIS-ZILOS, G. et al. Self-Supervised Video Similarity Learning. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Whorkshops (CVPRW). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. s. 4756-4766. ISSN 2160-7516. ISBN 979-8-3503-0249-3. DOI 10.1109/CVPRW59228.2023.00504. Dostupné z: https://openaccess.thecvf.com/content/CVPR2023W/L3D-IVU/papers/Kordopatis-Zilos_Self-Supervised_Video_Similarity_Learning_CVPRW_2023_paper.pdf

VOŠAHLÍK, D. et al. Vehicle Dynamics Trajectory Planning: Minimum Violation Planning Modifications Reducing Computational Time. In: 2023 SICE International Symposium on Control Systems. Kusatsu, 2023-03-09/2023-03-11. Piscataway: IEEE, 2023. s. 27-32. ISBN 978-4-907764-76-0. DOI 10.23919/SICEISCS57194.2023.10079204. Dostupné z: https://ieeexplore.ieee.org/document/10079204

BHAYANI, S. et al. Partially calibrated semi-generalized pose from hybrid point correspondences. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. s. 2881-2890. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00290.

ŠUMA, P. a G. TOLIAS. Large-to-small Image Resolution Asymmetry in Deep Metric Learning. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. s. 1451-1460. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00150. Dostupné z: https://ieeexplore.ieee.org/document/10030552

KRISTAN, M. et al. The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. In: ICCVW2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Anchorage, Alaska: IEEE, 2023. s. 1788-1810. ISSN 2473-9944. ISBN 979-8-3503-0744-3. DOI 10.1109/ICCVW60793.2023.00195. Dostupné z: https://ieeexplore.ieee.org/document/10350713

SUNDERMEYER, M. et al. BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Whorkshops (CVPRW). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. s. 2785-2794. ISSN 2160-7508. ISBN 979-8-3503-0250-9. DOI 10.1109/CVPRW59228.2023.00279.

SHEKHOVTSOV, O. Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator. In: International Conference on Machine Learning (ICML). Honolulu, USA, 2023-07-23/2023-07-29. Proceedings of Machine Learning Research, 2023. s. 30931-30955. ISSN 2640-3498. Dostupné z: https://proceedings.mlr.press/v202/shekhovtsov23a.html

BARATH, D. et al. Finding Geometric Models by Clustering in the Consensus Space. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. s. 5414-5424. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.00524. Dostupné z: https://ieeexplore.ieee.org/document/10203844

CHELANI, K. et al. Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. s. 13132-13141. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.01262. Dostupné z: https://openaccess.thecvf.com/content/CVPR2023/papers/Chelani_Privacy-Preserving_Representations_Are_Not_Enough_Recovering_Scene_Content_From_Camera_CVPR_2023_paper.pdf

ŠIMSA, Š. et al. DocILE Benchmark for Document Information Localization and Extraction. In: ICDAR 2023: Proceedings of the Document Analysis and Recognition, Part II. ICDAR2023:Document Analysis and Recognition, San José, 2023-08-21/2023-08-26. Cham: Springer, 2023. s. 147-166. LNCS. sv. 14188. ISSN 0302-9743. ISBN 978-3-031-41678-1. DOI 10.1007/978-3-031-41679-8_9.

WEI, T., J. MATAS a D. BARÁTH. Adaptive Reordering Sampler with Neurally Guided MAGSAC. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. s. 18117-18127. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01665.

RUSTLER, L., J. MATAS a M. HOFFMANN. Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Detroit, MA, 2023-10-01/2023-10-05. Piscataway: IEEE, 2023. s. 3121-3128. ISSN 2153-0866. ISBN 978-1-6654-9190-7. DOI 10.1109/IROS55552.2023.10342200. Dostupné z: https://ieeexplore.ieee.org/document/10342200

MÖHWALD, A., T. JENÍČEK a O. CHUM. Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. s. 11119-11129. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01024.

VÁVRA, V., D. MISHKIN a J. MATAS. DoG Accuracy Via Equivariance: Get The Interpolation Right. In: 2023 IEEE International Conference on Image Processing (ICIP). Kuala Lumpur, 2023-10-08/2023-10-11. New York: Institute of Electrical and Electronics Engineers, 2023. s. 136-140. ISBN 978-1-7281-9835-4. DOI 10.1109/ICIP49359.2023.10222153. Dostupné z: https://ieeexplore.ieee.org/document/10222153

ŠUBRTOVÁ, A. et al. Diffusion Image Analogies. In: BRUNVAND, E., A. SHEFFER a M. WIMMER, eds. ACM SIGGRAPH 2023 Conference Proceedings. SIGGRAPH 2023, Los Angeles, 2023-08-06/2023-08-10. New York: ACM SIGGRAPH, 2023. ISBN 979-8-4007-0159-7. DOI 10.1145/3588432.3591558.

YPSILANTIS, N. et al. Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. s. 11256-11267. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01037.

KRISTAN, M. et al. The Tenth Visual Object Tracking VOT2022 Challenge Results. In: Computer Vision – ECCV 2022 Workshops, Part VIII. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Cham: Springer, 2023. s. 431-460. Lecture Notes in Computer Science. sv. 13808. ISSN 0302-9743. ISBN 978-3-031-25084-2. DOI 10.1007/978-3-031-25085-9_25.

BERTRAND, J., Y. KALANTIDIS a G. TOLIAS. Rethinking matching-based few-shot action recognition. In: GADE, R., M. FELSBERG a J.-K. KÄMÄRÄINEN, eds. SCIA 2023: Image Analysis, Part I. SCIA2023: 22nd Scandinavian Conference, Sirkka, 2023-04-18/2023-04-21. Cham: Springer, 2023. s. 215-236. LNCS. sv. 13885. ISSN 0302-9743. ISBN 978-3-031-31434-6. DOI 10.1007/978-3-031-31435-3_15.

VOJÍŘ, T. et al. Calibrated Out-of-Distribution Detection with a Generic Representation. In: ICCVW2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Anchorage, Alaska: IEEE, 2023. s. 4509-4518. ISSN 2473-9944. ISBN 979-8-3503-0744-3. DOI 10.1109/ICCVW60793.2023.00485. Dostupné z: https://openaccess.thecvf.com/content/ICCV2023W/UnCV/html/Vojir_Calibrated_Out-of-Distribution_Detection_with_a_Generic_Representation_ICCVW_2023_paper.html

BARATH, D. et al. A Large-Scale Homography Benchmark. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. s. 21360-21370. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.02046. Dostupné z: https://openaccess.thecvf.com/content/CVPR2023/papers/Barath_A_Large-Scale_Homography_Benchmark_CVPR_2023_paper.pdf

BERTRAND, J. et al. Test-time Training for Matching-based Video Object Segmentation. In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, 2023-12-10/2023-12-16. Montreal: Neural Information Processing Society, 2023.

JANOUŠKOVÁ, K. et al. Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. In: Computer Vision – ECCV 2022 Workshops, Part III. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Cham: Springer, 2023. s. 244-257. LNCS. sv. 13803. ISSN 0302-9743. ISBN 978-3-031-25065-1. DOI 10.1007/978-3-031-25082-8_16.