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Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents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

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.

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.

BARÁTH, D. Efficient energy-based topological outlier rejection. Computer Vision and Image Understanding. 2018, 174 70-81. ISSN 1077-3142. DOI 10.1016/j.cviu.2018.07.002.

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.

ŠRAJER, F., Z. KÚKELOVÁ, and A. FITZGIBBON. A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning. Optimization Methods and Software. 2018, 2018(33), 889-906. ISSN 1029-4937. DOI 10.1080/10556788.2018.1435651. Available from: https://www.semanticscholar.org/paper/A-benchmark-of-selected-algorithmic-differentiation-Srajer-Kukelova/36b377c6f5e096728005967e7a2c2a4f0951629e

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.

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. 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 978-3-030-01269-4. DOI 10.1007/978-3-030-01270-0_14.

ISCEN, A. and O. CHUM. Local Orthogonal-Group Testing. In: FERRARI, V., et al., eds. ECCV2018: Proceedings of the European Conference on Computer Vision, Part II. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Cham: Springer International Publishing, 2018. p. 460-476. Image Processing, Computer Vision, Pattern Recognition, and Graphics. vol. 11206. ISSN 0302-9743. ISBN 978-3-030-01215-1. DOI 10.1007/978-3-030-01216-8_28.

LARSSON, V., et al. Beyond Gröbner Bases: Basis Selection for Minimal Solvers. 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. 3945-3954. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00415. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers_backup/Larsson_Beyond_GroBner_Bases_CVPR_2018_paper.pdf

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

PRITTS, J., et al. Radially-Distorted Conjugate Translations. 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. 1993-2001. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00213. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers_backup/Pritts_Radially-Distorted_Conjugate_Translations_CVPR_2018_paper.pdf

NAISER, F., M. ŠMÍD, and J. MATAS. Tracking and Re-Identification System for Multiple Laboratory Animals. In: 2018 VAIB (ICPR2018 Workshop). 2018 24rd International Conference on Pattern Recognition (ICPR), Beijing, 2018-08-20/2018-08-24. Edinburgh: University of Edinburg, 2018. Available from: http://homepages.inf.ed.ac.uk/rbf/VAIB18PAPERS/vaib18naiser.pdf

SHEKHOVTSOV, O. and B. FLACH. Normalization of Neural Networks using Analytic Variance Propagation. In: KÚKELOVÁ, Z. and J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. CVWW 2018: Computer Vision Winter Workshop, Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. p. 45-53. ISBN 978-80-270-3395-9. Available from: https://arxiv.org/abs/1803.10560

LARSSON, V., Z. KÚKELOVÁ, and Y. ZHENG. Camera Pose Estimation with Unknown Principal Point. 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. 2984-2992. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00315. Available from: http://openaccess.thecvf.com/content_cvpr_2018/html/Larsson_Camera_Pose_Estimation_CVPR_2018_paper.html

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

TOURANI, S., et al. MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part IV. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Berlin: Springer-Verlag, 2018. p. 264-281. Lecture Notes in Computer Science. vol. 11208. ISSN 0302-9743. ISBN 978-3-030-01224-3. DOI 10.1007/978-3-030-01225-0_16.

ISCEN, A., et al. Fast Spectral Ranking for Similarity Search. 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. 7632-7641. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00796. Available from: https://ieeexplore.ieee.org/document/8578894

RAZINKOV, E., I. SAVELEVA, and J. MATAS. ALFA: Agglomerative Late Fusion Algorithm for Object Detection. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. p. 2594-2599. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8545182.

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.

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 978-3-030-01248-9. DOI 10.1007/978-3-030-01249-6_2.

KART, U., et al. Depth Masked Discriminative Correlation Filter. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. p. 2112-2117. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8546179.

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

ISCEN, A., et al. Mining on Manifolds: Metric Learning without Labels. 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. 7642-7651. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00797. Available from: https://ieeexplore.ieee.org/document/8578895

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

GOMEZ, R., et al. ICDAR2017 Robust Reading Challenge on COCO-Text. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). The 14th IAPR International Conference on Document Analysis and Recognition, Kyoto, 2017-11-09/2017-11-15. Los Alamitos: IEEE Computer Society, 2018. p. 1435-1443. ISSN 1520-5363. ISBN 978-1-5386-3586-5. DOI 10.1109/ICDAR.2017.234.

SIMEONI, O., et al. Unsupervised object discovery for instance recognition. In: 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. WACV: 2018 IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, 2018-03-12/2018-02-15. Institute of Electrical and Electronics Engineers Inc, 2018. p. 1745-1754. ISSN 2472-6737. ISBN 978-1-5386-4886-5. DOI 10.1109/WACV.2018.00194.

MUSTANIEMI, J., et al. Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. p. 3068-3073. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8546041.

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. ISSN 2326-5396. 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

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. DOI 10.1109/CVPR.2018.00598. Available from: http://cmp.felk.cvut.cz/~radenfil/publications/Radenovic-CVPR18.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. ISSN 2326-5396. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00111. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373904

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.

Research Reports

RADENOVIĆ, F., et al. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. [Research Report] ArXiv, 2018. Report no. arXiv:1803.11285.

Unpublished Lectures

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

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