13133 / 13162 - Visual Recognition Group

Publications 2022

Papers in WoS Journals

PICEK, L., et al. Automatic Fungi Recognition: Deep Learning Meets Mycology. Sensors. 2022, 22(2), ISSN 1424-8220. DOI 10.3390/s22020633. Available from: https://www.mdpi.com/1424-8220/22/2/633

PICEK, L., et al. Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings. Frontiers in Plant Science. 2022, 13 ISSN 1664-462X. DOI 10.3389/fpls.2022.787527.

LUKEZIC, A., J. MATAS, and M. KRISTAN. A Discriminative Single-Shot Segmentation Network for Visual Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022, 44(12), 9742-9755. ISSN 0162-8828. DOI 10.1109/TPAMI.2021.3137933.

BARÁTH, D., J. NOSKOVÁ, and J. MATAS. Marginalizing Sample Consensus. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022, 44(11), 8420-8432. ISSN 0162-8828. DOI 10.1109/TPAMI.2021.3103562.

BELLAVIA, F. and D. MISHKIN. HarrisZ+: Harris corner selection for next-gen image matching pipelines. Pattern Recognition Letters. 2022, 2022(158) 141-147. ISSN 0167-8655. DOI 10.1016/j.patrec.2022.04.022.

CASILLAS-PEREZ, B., et al. Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies. Ecology Letters. 2022, 25(1), 89-100. ISSN 1461-023X. DOI 10.1111/ele.13907.

BARÁTH, D. and J. MATAS. Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022, 44(9), 4961-4974. ISSN 0162-8828. DOI 10.1109/TPAMI.2021.3071812.

Conference Proceedings

ŠUBRTOVÁ, A., et al. ChunkyGAN: Real Image Inversion via Segments. In: AVIDAN, S., et al., eds. Computer Vision – ECCV 2022, Part XXIII. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Cham: Springer, 2022. p. 189-204. LNCS. vol. 13683. ISSN 0302-9743. ISBN 978-3-031-20049-6. DOI 10.1007/978-3-031-20050-2_12.

XING, X., et al. Point Cloud Color Constancy. In: Proceeding 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR) 2022, New Orleans, Louisiana, 2022-06-19/2022-06-24. Piscataway: IEEE, 2022. p. 19718-19727. ISSN 2575-7075. ISBN 978-1-6654-6946-3. DOI 10.1109/CVPR52688.2022.01913. Available from: https://ieeexplore.ieee.org/document/9878535

PAPAKIPOS, Z., et al. Results and findings of the 2021 Image Similarity Challenge. In: Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. NeurIPS 2021 Competition Track, Online, 2021-12-06/2021-12-14. Proceedings of Machine Learning Research, 2022. p. 1-12. vol. 176. ISSN 1938-7228. Available from: https://proceedings.mlr.press/v176/papakipos22a/papakipos22a.pdf

SHEKHOVTSOV, O., D. SCHLESINGER, and B. FLACH. VAE Approximation Error: ELBO and Exponential Families. In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations 2022, Virtual, 2022-04-25/2022-04-29. Massachusetts: OpenReview.net / University of Massachusetts, 2022. Available from: https://openreview.net/forum?id=OIs3SxU5Ynl

DOČEKAL, J., et al. Human keypoint detection for close proximity human-robot interaction. In: 2022 IEEE-RAS International Conference on Humanoid Robots (Humanoids). 2022 IEEE-RAS International Conference on Humanoid Robots, Okinawa, 2022-11-28/2022-11-30. Piscataway, NJ: IEEE, 2022. p. 450-457. ISSN 2164-0580. ISBN 979-8-3503-0979-9. DOI 10.1109/Humanoids53995.2022.10000133. Available from: https://ieeexplore.ieee.org/document/10000133

PICEK, L., et al. Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem. In: Proceedings of the Working Notes of CLEF 2022. CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, 2022-09-05/2022-09-08. Aachen: CEUR Workshop Proceedings, 2022. p. 1970-1981. vol. 3180. ISSN 1613-0073.

MCCRAITH, R., et al. Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views. In: 2022 International Conference on Robotics and Automation (ICRA). Philadelphia, 2022-05-23/2022-05-27. Piscataway: IEEE, 2022. p. 2411-2418. ISSN 1050-4729. ISBN 978-1-7281-9681-7. DOI 10.1109/ICRA46639.2022.9811693. Available from: https://ieeexplore.ieee.org/abstract/document/9811693

PATEL, Y., G. TOLIAS, and J. MATAS. Recall@k Surrogate Loss with Large Batches and Similarity Mixup. In: Proceeding 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR) 2022, New Orleans, Louisiana, 2022-06-19/2022-06-24. Piscataway: IEEE, 2022. p. 7492-7501. ISSN 2575-7075. ISBN 978-1-6654-6946-3. DOI 10.1109/CVPR52688.2022.00735. Available from: https://ieeexplore.ieee.org/document/9878642

BARÁTH, D. and Z. KÚKELOVÁ. Relative Pose from SIFT Features. In: Computer Vision – ECCV 2022, Part XXXII. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Cham: Springer, 2022. p. 454-469. LNCS. vol. 13692. ISSN 0302-9743. ISBN 978-3-031-19823-6. DOI 10.1007/978-3-031-19824-3_27.

ROZUMNYI, D., et al. Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. In: Proceeding 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR) 2022, New Orleans, Louisiana, 2022-06-19/2022-06-24. Piscataway: IEEE, 2022. p. 15969-15978. ISSN 2575-7075. ISBN 978-1-6654-6946-3. DOI 10.1109/CVPR52688.2022.01552. Available from: https://ieeexplore.ieee.org/document/9879620

YPSILANTIS, N., et al. The Met Dataset:Instance-level Recognition for Artworks. In: NeurIPS Datasets and Benchmarks 2021: The Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks. NeurIPS Datasets and Benchmarks 2021, Virtual, 2021-12-06/2021-12-14. Neural Information Processing Systems Foundation, Inc., 2022. ISBN 978-1-7138-7109-5.

DING, Y., et al. Relative Pose from a Calibrated and an Uncalibrated Smartphone Image. In: Proceeding 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR) 2022, New Orleans, Louisiana, 2022-06-19/2022-06-24. Piscataway: IEEE, 2022. p. 12756-12765. ISSN 2575-7075. ISBN 978-1-6654-6946-3. DOI 10.1109/CVPR52688.2022.01243. Available from: https://ieeexplore.ieee.org/document/9880282

PICEK, L., et al. Danish Fungi 2020 - Not Just Another Image Recognition Dataset. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2022-01-03/2022-01-08. USA: IEEE Computer Society, 2022. p. 3281-3291. ISSN 2642-9381. ISBN 978-1-6654-0915-5. DOI 10.1109/WACV51458.2022.00334. Available from: https://ieeexplore.ieee.org/document/9706991

MARTYNIUK, T., et al. DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image. In: Proceeding 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR) 2022, New Orleans, Louisiana, 2022-06-19/2022-06-24. Piscataway: IEEE, 2022. p. 20910-20920. ISSN 2575-7075. ISBN 978-1-6654-6946-3. DOI 10.1109/CVPR52688.2022.02027. Available from: https://ieeexplore.ieee.org/document/9878647

ŠIPKA, T., M. ŠULC, and J. MATAS. The Hitchhiker's Guide to Prior-Shift Adaptation. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2022-01-03/2022-01-08. USA: IEEE Computer Society, 2022. p. 2031-2039. ISSN 2642-9381. ISBN 978-1-6654-0915-5. DOI 10.1109/WACV51458.2022.00209. Available from: https://ieeexplore.ieee.org/document/9706940

BORSUK, V., et al. FEAR: Fast, Efficient, Accurate and Robust Visual Tracker. In: Computer Vision - ECCV 2022, Part XXII. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Springer, Cham, 2022. p. 644-663. LNCS. vol. 13682. ISSN 0302-9743. ISBN 978-3-031-20046-5. DOI 10.1007/978-3-031-20047-2_37.

LAM HUYNH, X., et al. Lightweight Monocular Depth with a Novel Neural Architecture Search Method. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2022-01-03/2022-01-08. USA: IEEE Computer Society, 2022. p. 326-336. ISSN 2642-9381. ISBN 978-1-6654-0915-5. DOI 10.1109/WACV51458.2022.00040. Available from: https://ieeexplore.ieee.org/document/9707059

BARÁTH, D., et al. Pose-graph via Adaptive Image Re-ordering. In: The 33rd British Machine Vision Conference Proceedings. The 33rd British Machine Vision Conference, London, 2022-11-21/2022-11-24. Durham: The British Machine Vision Association and Society for Pattern Recognition, 2022. Available from: https://bmvc2022.mpi-inf.mpg.de/0127.pdf

EFTHYMIADIS, N., G. TOLIAS, and O. CHUM. Edge Augmentation for Large-Scale Sketch Recognition without Sketches. In: 2022 26th International Conference on Pattern Recognition (ICPR). Montreal, 2022-08-21/2022-08-25. Piscataway: IEEE, 2022. p. 3595-3602. ISSN 2831-7475. ISBN 978-1-6654-9062-7. DOI 10.1109/ICPR56361.2022.9956233. Available from: https://ieeexplore.ieee.org/abstract/document/9956233

PÁNEK, V., Z. KÚKELOVÁ, and T. SATTLER. MeshLoc: Mesh-Based Visual Localization. In: Computer Vision - ECCV 2022, Part XXII. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Springer, Cham, 2022. p. 589-609. LNCS. vol. 13682. ISSN 0302-9743. ISBN 978-3-031-20046-5. DOI 10.1007/978-3-031-20047-2_34.

TROJER, Z., et al. Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking. In: The 33rd British Machine Vision Conference Proceedings. The 33rd British Machine Vision Conference, London, 2022-11-21/2022-11-24. Durham: The British Machine Vision Association and Society for Pattern Recognition, 2022. Available from: https://bmvc2022.mpi-inf.mpg.de/470/

Research Reports

VINIAVSKYI, O., et al. Open Source Graph Neural Net Based Pipeline for Image Matching. [Research Report] ArXiv, 2022.

VÁVRA, V., D. MISHKIN, and J. MATAS. Matching with AffNet based rectifications. [Research Report] ArXiv, 2022.