13133 / 13162 - Publications - 2020

13133 / 13162 - Visual Recognition Group

Publications 2020

Papers in WoS Journals

ALBL, Č., et al. Rolling Shutter Camera Absolute Pose. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020, 42(6), 1439-1452. ISSN 1939-3539. DOI 10.1109/TPAMI.2019.2894395. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621045

KOTERA, J., J. MATAS, and F. SROUBEK. Restoration of Fast Moving Objects. IEEE Transactions on Image Processing. 2020, 29 8577-8589. ISSN 1057-7149. DOI 10.1109/TIP.2020.3016490.

ALDANA IUIT, J., et al. Saddle: Fast and repeatable features with good coverage. Image and Vision Computing. 2020, 97 ISSN 0262-8856. DOI 10.1016/j.imavis.2019.08.011.

PRITTS, J., et al. Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. International Journal of Computer Vision. 2020, 128(4), 950-968. ISSN 0920-5691. DOI 10.1007/s11263-019-01216-x.

BALNTAS, V., et al. H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020, 42(11), 2825-2841. ISSN 0162-8828. DOI 10.1109/TPAMI.2019.2915233.

Patents

UNIVERSITY OF OXFORD. Image Processing Method. Inventors: A. VEDALDI and L. NEUMANN. European Patent Office. Patent EP3827371. 2020-01-30.

Conference Proceedings

RIBA, E., et al. Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). 2020 IEEE Winter Conference on Applications of Computer Vision, Snowmass village, 2020-03-01/2020-03-05. New Jersey: IEEE, 2020. p. 3663-3672. ISSN 2642-9381. ISBN 978-1-7281-6553-0. DOI 10.1109/WACV45572.2020.9093363. Available from: https://openaccess.thecvf.com/content_WACV_2020/papers/Riba_Kornia_an_Open_Source_Differentiable_Computer_Vision_Library_for_PyTorch_WACV_2020_paper.pdf

HODAŇ, T., et al. BOP Challenge 2020 on 6D Object Localization. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part II. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Basel: Springer, 2020. p. 577-594. LNCS. vol. 12536. ISSN 0302-9743. ISBN 978-3-030-66095-6. DOI 10.1007/978-3-030-66096-3_39.

ISCEN, A., et al. Graph convolutional networks for learning with few clean and many noisy labels. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part X. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 286-302. LNCS. vol. 12355. ISSN 0302-9743. ISBN 978-3-030-58606-5. DOI 10.1007/978-3-030-58607-2_17.

BHAYANI, S., Z. KÚKELOVÁ, and J. HEIKKILÄ. A sparse resultant based method for efficient minimal solvers. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 1767-1776. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00184.

SHEKHOVTSOV, O., V. YANUSH, and B. FLACH. Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). NeurIPS2020: 33rd Neural Information Processing Systems, Vancouver, 2020-12-06/2020-12-12. Montreal: Neural Information Processing Society, 2020. ISSN 1049-5258. Available from: https://neurips.cc/virtual/2020/public/poster_96fca94df72984fc97ee5095410d4dec.html

DUKANOVIĆ, S., J. MATAS, and T. VIRTANEN. Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow. In: 2020 IEEE Intelligent Vehicles Symposium (IV). 2020 IEEE Intelligent Vehicles Symposium (IV2020), Las Vegas, 2020-10-19/2020-11-13. Piscataway: IEEE Industrial Electronics Society, 2020. p. 1608-1614. ISSN 2642-7214. ISBN 978-1-7281-6673-5. DOI 10.1109/IV47402.2020.9304600. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9304600

BAHNÍK, M., et al. Visually Assisted Anti-lock Braking System. In: 2020 IEEE Intelligent Vehicles Symposium (IV). 2020 IEEE Intelligent Vehicles Symposium (IV2020), Las Vegas, 2020-10-19/2020-11-13. Piscataway: IEEE Industrial Electronics Society, 2020. p. 1219-1225. ISSN 2642-7214. ISBN 978-1-7281-6673-5. DOI 10.1109/IV47402.2020.9304807. Available from: https://doi.org/10.1109/IV47402.2020.9304807

HUYNH, L., et al. Guiding Monocular Depth Estimation Using Depth-Attention Volume. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XXVI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer, 2020. p. 581-597. LNCS. vol. 12371. ISSN 0302-9743. ISBN 978-3-030-58573-0. DOI 10.1007/978-3-030-58574-7_35.

HAJDER, L. and D. BARÁTH. Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras. In: IEEE International Conference on Robotics and Automation (ICRA). 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020-05-31/2020-08-31. IEEE Xplore, 2020. p. 8644-8650. ISSN 2577-087X. ISBN 978-1-7281-7395-5. DOI 10.1109/ICRA40945.2020.9196755. Available from: https://ieeexplore.ieee.org/document/9196755

BARÁTH, D., et al. MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 1301-1309. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00138.

LUKEŽIČ, A., J. MATAS, and M. KRISTAN. D3S - A discriminative single shot segmentation tracker. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 7131-7140. ISSN 2575-7075. ISBN 978-1-7281-7168-5. DOI 10.1109/CVPR42600.2020.00716. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9157386

PATEL, Y., T. HODAŇ, and J. MATAS. Learning Surrogates via Deep Embedding. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XXX. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 205-221. LNCS. vol. 12375. ISSN 0302-9743. ISBN 978-3-030-58576-1. DOI 10.1007/978-3-030-58577-8_13.

ŠULC, M., et al. Fungi Recognition: A Practical Use Case. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). 2020 IEEE Winter Conference on Applications of Computer Vision, Snowmass village, 2020-03-01/2020-03-05. New Jersey: IEEE, 2020. p. 2305-2313. ISSN 2642-9381. ISBN 978-1-7281-6553-0. DOI 10.1109/WACV45572.2020.9093624. Available from: https://ieeexplore.ieee.org/document/9093624

KÚKELOVÁ, Z., et al. Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part V. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 698-714. LNCS. vol. 12350. ISSN 0302-9743. ISBN 978-3-030-58557-0. DOI 10.1007/978-3-030-58558-7_41.

POLIC, M., et al. Uncertainty Based Camera Model Selection. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 5990-5999. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00603.

MUSTANIEMI, J., et al. LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. In: BMVC2020: Proceedings of the British Machine Vision Conference. BMVC2020: British Machine Vision Conference, virtual, 2020-09-07/2020-09-10. London: British Machine Vision Association, 2020. Available from: https://www.bmvc2020-conference.com/assets/papers/0725.pdf

BARÁTH, D., et al. Making Affine Correspondences Work in Camera Geometry Computation. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 723-740. LNCS. vol. 12356. ISSN 0302-9743. ISBN 978-3-030-58620-1. DOI 10.1007/978-3-030-58621-8_42.

LIN, Y., et al. Infrastructure-Based Multi-camera Calibration Using Radial Projections. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part XVI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 327-344. LNCS. vol. 12361. ISSN 0302-9743. ISBN 978-3-030-58516-7. DOI 10.1007/978-3-030-58517-4_20.

HAJDER, L. and D. BARÁTH. Relative planar motion for vehicle-mounted cameras from a single affine correspondence. In: IEEE International Conference on Robotics and Automation (ICRA). 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020-05-31/2020-08-31. IEEE Xplore, 2020. p. 8651-8657. ISSN 2577-087X. ISBN 978-1-7281-7395-5. DOI 10.1109/ICRA40945.2020.9197438. Available from: https://ieeexplore.ieee.org/document/9197438

HODAŇ, T., D. BARÁTH, and J. MATAS. EPOS: Estimating 6D Pose of Objects with Symmetries. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 11700-11709. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.01172.

TOLIAS, G., T. JENÍČEK, and O. CHUM. Learning and aggregating deep local descriptors for instance-level recognition. In: VEDALDI, A., et al., eds. Computer Vision - ECCV 2020, Part I. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 460-477. LNCS. vol. 12346. ISSN 0302-9743. ISBN 978-3-030-58451-1. DOI 10.1007/978-3-030-58452-8_27.

DENNINGER, M., et al. BlenderProc: Reducing the Reality Gap with Photorealistic Rendering. In: 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. Corvallis, 2020-07-12. Microsoft CMT, 2020. Available from: https://sim2real.github.io/assets/papers/2020/denninger.pdf

KRISTAN, M., et al. The Eighth Visual Object Tracking VOT2020 Challenge Results. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part V. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer, 2020. p. 547-601. LNCS. vol. 12539. ISSN 0302-9743. ISBN 978-3-030-68237-8. DOI 10.1007/978-3-030-68238-5_39.

NOVÁK, T., J. ŠOCHMAN, and J. MATAS. A new semi-supervised method improving optical flow on distant domains. In: Proceedings of the 25th Computer Vision Winter Workshop Conference February 3-5, 2020, Rogaška Slatina, Slovenia. Computer Vision Winter Workshop 2020, Rogaška Slatina, 2020-02-03/2020-02-05. Ljubljana: Slovenian Pattern Recognition Society, 2020. p. 37-45. ISBN 978-961-90901-9-0. Available from: https://data.vicos.si/cvww20/22.pdf

JAHODA, P., J. ČECH, and J. MATAS. Autonomous Car Chasing. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part IV. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer, 2020. p. 337-352. LNCS. vol. 12538. ISSN 0302-9743. ISBN 978-3-030-66822-8. DOI 10.1007/978-3-030-66823-5_20.

QIAN, Y., et al. A Benchmark for Burst Color Constancy. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part III. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 359-375. LNCS. vol. 12537. ISSN 0302-9743. ISBN 978-3-030-67069-6. DOI 10.1007/978-3-030-67070-2_22.

KNOBELREITER, P., et al. Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 7897-7906. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00792.

TOURANI, S., et al. Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. In: Proceedings of Machine Learning Research. The Twenty Third International Conference on Artificial Intelligence and Statistics, Palermo, 2020-06-03/2020-06-05. Proceedings of Machine Learning Research, 2020. vol. Volume 108. ISSN 2640-3498.

ALBL, Č., et al. From Two Rolling Shutters to One Global Shutter. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 2502-2510. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00258.

ROZUMNYI, D., et al. Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 6777-6785. ISSN 2575-7075. ISBN 978-1-7281-7168-5. DOI 10.1109/CVPR42600.2020.00681. Available from: https://ieeexplore.ieee.org/document/9157513

Research Reports

JIN, Y., et al. Image Matching across Wide Baselines: From Paper to Practice. [Research Report] ArXiv, 2020.

RIBA, E., et al. A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. [Research Report] 2020.

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