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České vysoké učení technické v Praze

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13133 / 13162 - Publikace - 2017

13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2017

Knihy, kapitoly v knihách a skripta, dizertace, výzkumné zprávy, nepublikované přednášky, stati ve sbornících, články v časopisech, patenty

Články v časopisech WoS

CHUM, O. a O. CHUM. Optimizing explicit feature maps on intervals. Image and Vision Computing. 2017, 66 36-47. ISSN 0262-8856.

MISHKIN, D., N. SERGIEVSKIY a J. MATAS. Systematic Evaluation of Convolution Neural Network Advances on the ImageNet. Computer Vision and Image Understanding. 2017, 161 11-19. ISSN 1077-3142.

Stati ve sbornících konferencí

FRANC, V. a J. ČECH. Learning CNNs for face recognition from weakly annotated images. In: International Conference on Automatic Face and Gesture Recognition Workshops, Biometrics in the Wild. The 12th IEEE International Conference on Automatic Face and Gesture Recognition, Washington DC, 2017-05-30/2017-06-03. USA: IEEE Computer Society, 2017. p. 933-940. ISSN 2326-5396. ISBN 978-1-5090-4023-0. DOI 10.1109/FG.2017.115. Dostupné z: ftp://cmp.felk.cvut.cz/pub/cmp/articles/franc/Franc-EMSVM-FG2017.pdf

TOLIAS, G. a O. CHUM. Asymmetric Feature Maps with Application to Sketch Based Retrieval. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-06-26. IEEE Computer Society Press, 2017. p. 6185-6193. ISSN 1063-6919. ISBN 978-1-5386-0458-8. DOI 10.1109/CVPR.2017.655.

ISCEN, A. et al. Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-06-26. IEEE Computer Society Press, 2017. p. 926-935. ISSN 1063-6919. ISBN 978-1-5386-0458-8. DOI 10.1109/CVPR.2017.105.

MUKUNDAN, A., G. TOLIAS a O. CHUM. Robust data whitening as an iteratively re-weighted least squares problem. In: SHARMA, P. a F. M. BIANCHI, eds. Image Analysis. 20th Scandinavian Conference, SCIA 2017, Tromsø,, Tromso, 2017-06-12/2017-06-14. Cham: Springer International Publishing, 2017. p. 234-247. Lecture Notes in Computer Science. sv. 10269. ISSN 0302-9743. ISBN 978-3-319-59125-4. DOI 10.1007/978-3-319-59126-1_20.

HUSÁK, P., J. ČECH a J. MATAS. Spotting Facial Micro-Expressions “In the Wild”. In: KROPATSCH, W, I JANUSCH a N ARTNER, eds. Proceedings of the 22nd Computer Vision Winter Workshop. CVWW 2017: COMPUTER VISION WINTER WORKSHOP, Retz, 2017-02-06/2017-02-08. Wien: Pattern Recognition & Image Processing Group, Vienna University of Technology, 2017. ISBN 978-3-200-04969-7. Dostupné z: http://cvww2017.prip.tuwien.ac.at/papers/CVWW2017_paper_17.pdf

ISCEN, A. et al. Panorama to panorama matching for location recognition. In: ICMR '17 Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval, Bucharest, 2017-06-06/2017-06-09. New York: ACM, 2017. p. 392-396. ISBN 978-1-4503-4701-3. DOI 10.1145/3078971.3079033.

NEORAL, M. a J. ŠOCHMAN. Object Scene Flow with Temporal Consistency. In: KROPATSCH, W, I JANUSCH a N ARTNER, eds. Proceedings of the 22nd Computer Vision Winter Workshop. CVWW 2017: COMPUTER VISION WINTER WORKSHOP, Retz, 2017-02-06/2017-02-08. Wien: Pattern Recognition & Image Processing Group, Vienna University of Technology, 2017. ISBN 978-3-200-04969-7.

GALUŠČÁKOVÁ, P et al. Visual Descriptors in Methods for Video Hyperlinking. In: ICMR '17 Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval, Bucharest, 2017-06-06/2017-06-09. New York: ACM, 2017. p. 294-300. ISBN 978-1-4503-4701-3. DOI 10.1145/3078971.3079026.

HODAŇ, T. et al. T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). 17th IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, 2017-03-24/2017-03-31. New Jersey: IEEE, 2017. p. 880-888. ISSN 2472-6737. ISBN 978-1-5090-4822-9. DOI 10.1109/WACV.2017.103.

ALDANA IUIT, J. et al. In the Saddle: Chasing fast and repeatable features. In: 2016 23rd International Conference on Pattern Recognition (ICPR). 2016 23rd International Conference on Pattern Recognition, Cancun, 2016-12-04/2016-12-08. Institute of Electrical and Electronics Engineers, 2017. p. 675-680. ISSN 1051-4651. ISBN 978-1-5090-4847-2. DOI 10.1109/ICPR.2016.7899712.

ALBL, Č. et al. On the Two-View Geometry of Unsynchronized Cameras. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-06-26. IEEE Computer Society Press, 2017. p. 5593-5602. ISSN 1063-6919. ISBN 978-1-5386-0458-8. DOI 10.1109/CVPR.2017.593.

ŠULC, M. a J. MATAS. Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition. In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum. CLEF 2017: Conference and Labs of the Evaluation Forum, Dublin, 2017-09-11/2017-09-14. Aachen: CEUR Workshop Proceedings, 2017. sv. 1866. ISSN 1613-0073. Dostupné z: http://ceur-ws.org/Vol-1866/paper_167.pdf

ŠPETLÍK, R. et al. Visual Language Identification from Facial Landmarks. In: SHARMA, P. a F.M. BIANCHI, eds. Image Analysis, Part II. 20th Scandinavian Conference, SCIA 2017, Tromsø,, Tromso, 2017-06-12/2017-06-14. Springer, Cham, 2017. p. 389-400. Lecture Notes in Computer Science. sv. 10270. ISSN 0302-9743. ISBN 978-3-319-59128-5. DOI 10.1007/978-3-319-59129-2_33.

KÚKELOVÁ, Z. et al. A clever elimination strategy for efficient minimal solvers. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-06-26. IEEE Computer Society Press, 2017. p. 3605-3614. ISSN 1063-6919. ISBN 978-1-5386-0458-8. DOI 10.1109/CVPR.2017.384.

Výzkumné zprávy

VOJÍŘ, T. a J. MATAS. Pixel-Wise Object Segmentations for the {VOT} 2016 Dataset. Praha: ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání, 2017. CTU--CMP--2017--01. ISSN 1213-2365.

Stránka vytvořena 20.11.2017 05:00:01
Za obsah odpovídá: doc. Ing. Milan Polívka, Ph.D.