13133 / 13162 - Publikace - 2019

13133 / 13162 - skupina vizuálního rozpoznávání

Publikační činnost 2019

Články v časopisech WoS

MUKUNDAN, A. et al. Understanding and Improving Kernel Local Descriptors. International Journal of Computer Vision. 2019, 127(11-12), 1723-1737. ISSN 0920-5691. DOI 10.1007/s11263-018-1137-8.

FU, J. et al. Performance analysis of single-query 6-DoF camera pose estimation in self-driving setups. Computer Vision and Image Understanding. 2019, 186 58-73. ISSN 1077-3142. DOI 10.1016/j.cviu.2019.04.009.

SIMEONI, O. et al. Graph-based particular object discovery. Machine Vision and Applications. 2019, 30(2), 243-254. ISSN 0932-8092. DOI 10.1007/s00138-019-01005-z.

CHEN, K. et al. Cumulative attribute space regression for head pose estimation and color constancy. Pattern recognition. 2019, 87 29-37. ISSN 0031-3203. DOI 10.1016/j.patcog.2018.10.015.

RADENOVIĆ, F., G. TOLIAS a O. CHUM. Fine-tuning CNN Image Retrieval with No Human Annotation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019, 41(7), 1655-1668. ISSN 0162-8828. DOI 10.1109/TPAMI.2018.2846566.

Knihy, kapitoly v knihách, skripta, sborníky

NAISER, F. a M. LEVY. Machine Learning at the Edge. In: OSHANA, R. a M. KRAELING, eds. Software Engineering for Embedded Systems. New York: Elsevier B.V., 2019. s. 549-601. ISBN 978-0-12-809448-8. DOI 10.1016/C2015-0-06188-3.

Stati ve sbornících konferencí

ŠPETLÍK, R. a I. RAZUMENIĆ. Iris Verification with Convolutional Neural Network and Unit-Circle Layer. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 274-287. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_19.

ŠULC, M. a J. MATAS. Improving CNN classifiers by estimating test-time priors. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 3220-3226. ISSN 2473-9944. DOI 10.1109/ICCVW.2019.00402. Dostupné z: http://openaccess.thecvf.com/content_ICCVW_2019/papers/TASK-CV/Sulc_Improving_CNN_Classifiers_by_Estimating_Test-Time_Priors_ICCVW_2019_paper.pdf

KOTERA, J. et al. Intra-frame Object Tracking by Deblatting. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 2300-2309. ISSN 2473-9944. DOI 10.1109/ICCVW.2019.00283.

KART, U., J.-K. KÄMÄRÄINEN a J. MATAS. How to make an RGBD tracker?. In: Computer Vision – ECCV 2018 Workshops. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Basel: Springer, 2019. s. 148-161. Lecture Notes in Computer Science. sv. 11129. ISSN 0302-9743. ISBN 978-3-030-11008-6. DOI 10.1007/978-3-030-11009-3_8.

ROZUMNYI, D. et al. Learned Semantic Multi-Sensor Depth Map Fusion. In: 2019 IEEE International Conference on Computer Vision Workshops (ICCVW 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society, 2019. s. 2089-2099. ISSN 2473-9944. DOI 10.1109/ICCVW.2019.00264.

BARÁTH, D., J. MATAS a J. NOSKOVÁ. MAGSAC: Marginalizing Sample Consensus. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 10189-10197. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.01044. Dostupné z: https://ieeexplore.ieee.org/document/8953287

BUŠTA, M., Y. PATEL a J. MATAS. E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text. In: ACCVW 2018: Proceedings of the 14th Asian Conference on Computer Vision Workshops. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 127-143. LNCS. sv. 11367. ISSN 0302-9743. ISBN 978-3-030-21073-1. DOI 10.1007/978-3-030-21074-8_11.

TOLIAS, G., F. RADENOVIĆ a O. CHUM. Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 5036-5045. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00514.

JENÍČEK, T. a O. CHUM. No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 9695-9703. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00979.

PRITTS, J. et al. Rectification from Radially-Distorted Scales. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part V. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 36-52. LNCS. sv. 11365. ISSN 0302-9743. ISBN 978-3-030-20872-1. DOI 10.1007/978-3-030-20873-8_3.

PULTAR, M., D. MISHKIN a J. MATAS. Leveraging Outdoor Webcams for Local Descriptor Learning. In: Proceedings of the 24th Computer Vision Winter Workshop. CVWW2019: Computer Vision Winter Workshop, Stift Vorau, 2019-02-06/2019-02-08. Graz: Verlag der TU Graz, 2019. s. 51-60. ISBN 978-3-85125-652-9. DOI 10.3217/978-3-85125-652-9-06. Dostupné z: http://diglib.tugraz.at/download.php?id=5c5941d91cdd5&location=medra

NEORAL, M., J. ŠOCHMAN a J. MATAS. Continual Occlusion and Optical Flow Estimation. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part IV. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 159-174. LNCS. sv. 11364. ISSN 0302-9743. ISBN 978-3-030-20869-1. DOI 10.1007/978-3-030-20870-7_10.

KÚKELOVÁ, Z. a V. LARSSON. Radial Distortion Triangulation. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 9673-9681. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00991. Dostupné z: http://openaccess.thecvf.com/content_CVPR_2019/html/Kukelova_Radial_Distortion_Triangulation_CVPR_2019_paper.html

BARÁTH, D. a J. MATAS. Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 3779-3787. ISSN 1550-5499. ISBN 978-1-7281-4804-5. DOI 10.1109/ICCV.2019.00388.

LARSSON, V. et al. Revisiting Radial Distortion Absolute Pose. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 1062-1071. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00115. Dostupné z: http://openaccess.thecvf.com/content_ICCV_2019/html/Larsson_Revisiting_Radial_Distortion_Absolute_Pose_ICCV_2019_paper.html

QIAN, Y. et al. Revisiting gray pixel for statistical illumination estimation. In: VISAPP2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 5. 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Praha, 2019-02-25/2019-02-27. Porto: SciTePress - Science and Technology Publications, 2019. s. 36-46. ISBN 978-989-758-354-4. DOI 10.5220/0007406900360046. Dostupné z: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007406900360046

ŠERÝCH, J. a J. MATAS. Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 317-330. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_22.

ISCEN, A. et al. Label Propagation for Deep Semi-supervised Learning. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 5065-5074. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00521. Dostupné z: https://ieeexplore.ieee.org/document/8954421

HODAŇ, T. et al. A Summary of the 4th International Workshop on Recovering 6D Object Pose. In: Computer Vision – ECCV 2018 Workshops. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Basel: Springer, 2019. s. 589-600. Lecture Notes in Computer Science. sv. 11129. ISSN 0302-9743. ISBN 978-3-030-11009-3. DOI 10.1007/978-3-030-11009-3_36. Dostupné z: https://arxiv.org/pdf/1810.03758.pdf

KRÁLÍČEK, J., J. MATAS a M. BUŠTA. Care Label Recognition. In: ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition. ICDAR2019: 15th IAPR International Conference on Document Analysis and Recognition, Sydney, 2019-09-20/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 959-966. ISSN 1520-5363. ISBN 978-1-7281-3015-6. DOI 10.1109/ICDAR.2019.00158.

SHEKHOVTSOV, O. a B. FLACH. Stochastic Normalizations as Bayesian Learning. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 463-479. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_30.

LUKEŽIČ, A. et al. FuCoLoT – A Fully-Correlational Long-Term Tracker. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 595-611. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_38.

KRISTAN, M. et al. The sixth visual object tracking VOT2018 challenge results. In: Computer Vision – ECCV 2018 Workshops. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Basel: Springer, 2019. s. 3-53. Lecture Notes in Computer Science. sv. 11129. ISSN 0302-9743. ISBN 978-3-030-11008-6. DOI 10.1007/978-3-030-11009-3_1.

MUSTANIEMI, J. et al. Gyroscope-Aided Motion Deblurring with Deep Networks. In: 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION. WACV2019: 19th IEEE Winter Conference on Applications of Computer Vision, Waikoloa Village, 2019-01-07/2019-01-11. NEW YORK, NY: IEEE, 2019. s. 1914-1922. IEEE Winter Conference on Applications of Computer Vision. ISSN 2472-6737. ISBN 978-1-7281-1975-5. DOI 10.1109/WACV.2019.00208.

MUKUNDAN, A., G. TOLIAS a O. CHUM. Explicit Spatial Encoding for Deep Local Descriptors. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 9386-9395. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00962. Dostupné z: https://ieeexplore.ieee.org/document/8954243/keywords#keywords

SHEKHOVTSOV, O. a B. FLACH. Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. In: International Conference on Learning Representations. New Orleans, Ernest N. Morial Convention Center, 2019-05-06/2019-06-09. Massachusetts: OpenReview.net / University of Massachusetts, 2019. Dostupné z: https://openreview.net/forum?id=SkMuPjRcKQ

ROZUMNYI, D. et al. Non-causal Tracking by Deblatting. In: DAGM GCPR 2019. 41st German conference on Pattern Recognition, Dortmund, 2019-09-10/2019-09-13. Cham: Springer, 2019. s. 122-135. LNCS. sv. 11824. ISSN 0302-9743. ISBN 978-3-030-33675-2. DOI 10.1007/978-3-030-33676-9_9.

PICEK, L., M. ŠULC a J. MATAS. Recognition of the Amazonian Flora by Inception Networks with Test-time Class Prior Estimation - CMP submission to PlantCLEF 2019. In: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum. CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, 2019-09-09/2019-09-12. CEUR-WS.org, 2019. sv. 2380. ISSN 1613-0073. Dostupné z: http://ceur-ws.org/Vol-2380/

SIMEONI, O., Y. AVRITHIS a O. CHUM. Local Features and Visual Words Emerge in Activations. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 11643-11652. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.01192. Dostupné z: https://ieeexplore.ieee.org/document/8954470/keywords#keywords

JENÍČEK, T. a O. CHUM. Linking Art through Human Poses. In: ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition. ICDAR2019: 15th IAPR International Conference on Document Analysis and Recognition, Sydney, 2019-09-20/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 1338-1345. ISSN 1520-5363. ISBN 978-1-7281-3015-6. DOI 10.1109/ICDAR.2019.00216.

BARÁTH, D. a Z. KÚKELOVÁ. Homography From Two Orientation- and Scale-Covariant Features. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 1091-1099. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.00118. Dostupné z: http://openaccess.thecvf.com/content_ICCV_2019/html/Barath_Homography_From_Two_Orientation-_and_Scale-Covariant_Features_ICCV_2019_paper.html

LUKEŽIČ, A. et al. CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. In: 2019 IEEE International Conference on Computer Vision (ICCV 2019). IEEE International Conference on Computer Vision 2019, Seoul, 2019-10-27/2019-11-02. Los Alamitos: IEEE Computer Society Press, 2019. s. 10012-10021. ISSN 2380-7504. ISBN 978-1-7281-4803-8. DOI 10.1109/ICCV.2019.01011.

KART, U. et al. Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 1339-1348. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00143. Dostupné z: https://ieeexplore.ieee.org/document/8953557/keywords#keywords

QIAN, Y. et al. On Finding Gray Pixels. In: CVPR 2019: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR2019: IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, 2019-06-15/2019-06-20. IEEE, 2019. s. 8054-8062. ISSN 2575-7075. ISBN 978-1-7281-3293-8. DOI 10.1109/CVPR.2019.00825. Dostupné z: https://ieeexplore.ieee.org/document/8954324/keywords#keywords

KÚKELOVÁ, Z. et al. Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part III. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Cham: Springer, 2019. s. 265-280. LNCS. sv. 11363. ISSN 0302-9743. ISBN 978-3-030-20892-9. DOI 10.1007/978-3-030-20893-6_17.

NAYEF, N. et al. ICDAR2019 Robust Reading Challenge onMulti-lingual Scene Text Detection and Recognition– RRC-MLT-2019. In: ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition. ICDAR2019: 15th IAPR International Conference on Document Analysis and Recognition, Sydney, 2019-09-20/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 1582-1587. ISSN 1520-5363. ISBN 978-1-7281-3015-6. DOI 10.1109/ICDAR.2019.00254.

ISCEN, A. et al. Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. s. 301-316. LNCS. sv. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_20.

QIAN, Y. et al. Flash Lightens Gray Pixels. In: 2019 IEEE International Conference on Image Processing (ICIP). Taipei, 2019-09-22/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 4604-4608. ISSN 2381-8549. ISBN 978-1-5386-6249-6. DOI 10.1109/ICIP.2019.8803468. Dostupné z: https://ieeexplore.ieee.org/document/8803468

HODAŇ, T. et al. Photorealistic Image Synthesis for Object Instance Detection. In: 2019 IEEE International Conference on Image Processing (ICIP). Taipei, 2019-09-22/2019-09-25. Piscataway, NJ: IEEE, 2019. s. 66-70. ISSN 2381-8549. ISBN 978-1-5386-6249-6. DOI 10.1109/ICIP.2019.8803821. Dostupné z: https://arxiv.org/abs/1902.03334

Nepublikované přednášky

ŠULC, M. a J. MATAS. Improving fine-grained CNN classifiers by estimating test-time priors. [Nepublikovaná přednáška] Joni Kämäräinen / Computer Vision Group, Tampere University. 2019-08-14.

ŠULC, M. a J. MATAS. Improving CNN classifiers by estimating test-time priors. [Nepublikovaná přednáška] 2019-02-08.

Stránka vytvořena 06.08.2020 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.