13133 / 13162 - Publications - 2018

13133 / 13162 - Visual Recognition Group

Publications 2018

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

TOLIAS, G. and O. CHUM. Efficient Contour Match Kernel. Image and Vision Computing. 2018, 76 14-26. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.04.006.

LUKEŽIČ, A., et al. Discriminative Correlation Filter Tracker with Channel and Spatial Reliability. International Journal of Computer Vision. 2018, 126(7), 671-688. ISSN 0920-5691. DOI 10.1007/s11263-017-1061-3.

FRANC, V. and J. ČECH. Learning CNNs from Weakly Annotated Facial Images. Image and Vision Computing. 2018, 77 10-20. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.06.011.

BARÁTH, D. and L. HAJDER. Efficient Recovery of Essential Matrix From Two Affine Correspondences. IEEE Transactions on Image Processing. 2018, 27(11), 5328-5337. ISSN 1057-7149. DOI 10.1109/TIP.2018.2849866.

Papers in Other Journals

KILEEL, J., et al. Distortion Varieties. Foundations of Computational Mathematics. 2018, 18(4), 1043-1071. ISSN 1615-3375. DOI 10.1007/s10208-017-9361-0.

RADENOVIĆ, F., G. TOLIAS, and O. CHUM. Fine-tuning CNN Image Retrieval with No Human Annotation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018, ISSN 0162-8828. DOI 10.1109/TPAMI.2018.2846566.

Books, Book Chapters and Lecture Notes

KÚKELOVÁ, Z. and J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. ISBN 978-80-270-3395-9. Available from: http://cmp.felk.cvut.cz/cvww2018/

BONNET, P., et al. Plant Identification: Experts vs. Machines in the Era of Deep Learning. In: Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Springer, Cham, 2018. p. 131-149. ISBN 978-3-319-76444-3. DOI 10.1007/978-3-319-76445-0_8.

Conference Proceedings

BARÁTH, D. and J. MATAS. Graph-Cut RANSAC. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 6733-6741. ISSN 2575-7075. ISBN 978-1-5386-6420-9. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

BARÁTH, D. and J. MATAS. Multi-class Model Fitting by Energy Minimization and Mode-Seeking. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part XVI. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 229-245. Lecture Notes in Computer Vision. vol. 11220. ISSN 0302-9743. ISBN 978-3-030-01270-0. DOI 10.1007/978-3-030-01270-0_14.

NAISER, F., M. ŠMÍD, and J. MATAS. Tracking and Re-Identification System for Multiple Laboratory Animals. In: 2018 24rd International Conference on Pattern Recognition Workshops (ICPRW). 2018 24rd International Conference on Pattern Recognition (ICPR), Beijing, 2018-08-20/2018-08-24. Piscataway: IEEE, 2018.

ŠPETLÍK, R., et al. Visual Heart Rate Estimation with Convolutional Neural Network. In: BMVC2018: Proceedings of the British Machine Vision Conference. BMVC2018: British Machine Vision Conference, Newcastle upon Tyne, 2018-09-03/2018-09-06. London: British Machine Vision Association, 2018. Available from: http://bmvc2018.org/contents/papers/0271.pdf

GOËAU, H., et al. Deep learning for plant identification: how the web can compete with human experts. In: Biodiversity Information Science and Standards 2: e25637. PenSoft, 2018. DOI 10.3897/biss.2.25637. Available from: https://biss.pensoft.net/article/25637/list/8/

RADENOVIĆ, F., G. TOLIAS, and O. CHUM. Deep Shape Matching. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part V. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 774-791. Lecture Notes in Computer Science. vol. 11209. ISSN 0302-9743. ISBN 978-3-030-01227-4. DOI 10.1007/978-3-030-01228-1_46.

KUPYN, O., et al. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 8183-8192. ISSN 2575-7075. ISBN 978-1-5386-6420-9. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.pdf

HODAŇ, T., et al. BOP: Benchmark for 6D Object Pose Estimation. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part X. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 19-35. Lecture Notes in Computer Vision. vol. 11214. ISSN 0302-9743. ISBN 978-3-030-01249-6. DOI 10.1007/978-3-030-01249-6 _ 2.

MISHKIN, D., F. RADENOVIĆ, and J. MATAS. Repeatability Is Not Enough: Learning Affine Regions via Discriminability. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part IX. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 287-304. Lecture Notes in Computer Vision. vol. 11213. ISSN 0302-9743. ISBN 978-3-030-01239-7. DOI 10.1007/978-3-030-01240-3_18.

ŠULC, M., L. PICEK, and J. MATAS. Plant Recognition by Inception Networks with Test-time Class Prior Estimation. In: CAPPELLATO, L., et al., eds. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum. CLEF 2018: Conference and Labs of the Evaluation Forum, Avignon, 2018-09-10/2018-09-14. CEUR-WS.org, 2018. vol. 2125. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2125/paper_152.pdf

JAHODA, P., et al. Detecting decision ambiguity from facial images. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. p. 499-503. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00080. Available from: http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf

ŠPETLÍK, R., J. ČECH, and J. MATAS. Non-contact reflectance photoplethysmography: Progress, limitations, and myths. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. p. 702-709. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00111. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373904

RADENOVIĆ, F., et al. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 5706-5715. ISSN 2575-7075. ISBN 978-1-5386-6420-9. Available from: http://cmp.felk.cvut.cz/~radenfil/publications/Radenovic-CVPR18.pdf

Dissertations

VOJÍŘ, T. Short-Term Visual Object Tracking in Real-Time. Praha: Defense date 2018-02-28. PhD Thesis. ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Supervised by J. MATAS.

Unpublished Lectures

ŠULC, M. Fine-grained recognition of plant species from images. [Unpublished Lecture] UTIA CAS. 2018-03-23.

The page was created 14.12.2018 05:00:01