Faculty of Electrical Engineering

Czech Technical University in Prague

CTU in Prague

13133 / 13162 - Publications - 2017

13133 / 13162 - Visual Recognition Group

Publications 2017

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

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

Conference Proceedings

FRANC, V. and J. ČECH. Face attribute learning from weakly annotated examples. 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. pp. 933-940. ISBN 978-1-5090-4023-0. DOI 10.1109/FG.2017.115. Available from: ftp://cmp.felk.cvut.cz/pub/cmp/articles/franc/Franc-EMSVM-FG2017.pdf

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

HUSÁK, P., J. ČECH, and J. MATAS. Spotting Facial Micro-Expressions “In the Wild”. In: KROPATSCH, W, I JANUSCH, and 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. Available from: 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. pp. 392-396. ISBN 978-1-4503-4701-3. DOI 10.1145/3078971.3079033.

NEORAL, M. and J. ŠOCHMAN. Object Scene Flow with Temporal Consistency. In: KROPATSCH, W, I JANUSCH, and 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.

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. pp. 880-888. ISSN 2472-6737. ISBN 978-1-5090-4822-9. DOI 10.1109/WACV.2017.103.

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. pp. 294-300. ISBN 978-1-4503-4701-3. DOI 10.1145/3078971.3079026.

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. pp. 5593-5602. ISSN 1063-6919. ISBN 978-1-5386-0458-8. DOI 10.1109/CVPR.2017.593.

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

Research Reports

VOJÍŘ, T. and 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.

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