@InProceedings{wei2026global,
  title={Global-Aware Edge Prioritization for Pose Graph Initialization},
  author={Wei, Tong and Tolias, Giorgos and Matas, Jiri and Barath, Daniel},
  booktitle={CVPR},
  year={2026}
}

@inproceedings{
psomas2026attention,
title={Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency},
author={Bill Psomas and Dionysis Christopoulos and Eirini Baltzi and Ioannis Kakogeorgiou and Tilemachos Aravanis and Nikos Komodakis and Konstantinos Karantzalos and Yannis Avrithis and Giorgos Tolias},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=PXo0gtT7Al}
}

@InProceedings{GenD,
  author    = {Yermakov, Andrii and Cech, Jan and Matas, Jiri and Fritz, Mario},
  title     = {Deepfake Detection that Generalizes Across Benchmarks},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  month     = {March},
  year      = {2026},
}

@inproceedings{khan2025cletir,
	author = {Faizan Farooq Khan and Vladan Stojnić and
                  Zakaria Laskar and
                  Mohamed Elhoseiny and
                  Giorgos Tolias},
	title = {Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders},
	booktitle = {{BMVC}},
	year = {2025}
}

@misc{volkov2025imagerecognitionvisionlanguage,
      title={Image Recognition with Vision and Language Embeddings of VLMs}, 
      author={Illia Volkov and Nikita Kisel and Klara Janouskova and Jiri Matas},
      year={2025},
      eprint={2509.09311},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2509.09311}, 
}

@inproceedings{ilias2025,
  title={{ILIAS}: Instance-Level Image retrieval At Scale},
  author={Kordopatis-Zilos, Giorgos and Stojnić, Vladan and Manko, Anna and Šuma, Pavel and Ypsilantis, Nikolaos-Antonios and Efthymiadis, Nikos and Laskar, Zakaria and Matas, Jiří and Chum, Ondřej and Tolias, Giorgos},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
}

@inproceedings{stojnic2025lposs,
	author = {Vladan Stojnić and
                  Yannis Kalantidis and
                  Jiří Matas and
                  Giorgos Tolias},
	title = {LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation},
	booktitle = {{CVPR}},
	year = {2025}
}

@inproceedings{laskar_cvpr2025,
    title={{A Dataset for Semantic Segmentation in the Presence of Unknowns}},
    author={Zakaria Laskar and Tomáš Vojíř and Matej Grcic and Iaroslav Melekhov and Shankar Gangisetty and Juho~Kannala and Jiri Matas and Giorgos Tolias and C.V. Jawahar},
    booktitle={CVPR},
    year={2025},
}

@inproceedings{probpose2025,
  title={ProbPose: A Probabilistic Approach to 2D Human Pose Estimation},
  author={Miroslav Purkrabek and Jiri Matas},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
}

@article{ding2025three,
  title={Three-view Focal Length Recovery From Homographies},
  author={Ding, Yaqing and Kocur, Viktor and Haladov{\'a}, Zuzana Berger and Wu, Qianliang and Cai, Shen and Yang, Jian and Kukelova, Zuzana},
  journal={arXiv preprint arXiv:2501.07499},
  year={2025}
}

@inproceedings{xiao2025locore,
      title={LOCORE: Image Re-ranking with Long-Context Sequence Modeling}, 
      author={Zilin Xiao and Pavel Suma and Ayush Sachdeva and Hao-Jen Wang and Giorgos Kordopatis-Zilos and Giorgos Tolias and Vicente Ordonez},
      year={2025},
      booktitle = {{CVPR}},
}

@inproceedings{4p3v,
      title={Practical solutions to the relative pose of three calibrated cameras}, 
      author={Charalambos Tzamos and Viktor Kocur and Yaqing Ding and Daniel Barath and Zuzana Berger Haladova and Torsten Sattler and Zuzana Kukelova},
      booktitle={Computer Vision and Pattern Recognition (CVPR)},
      year={2025},
}

@InProceedings{Purkrabek2025ICCV,
          author={Purkrabek, Miroslav and Matas, Jiri},
          title={Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle}, 
          booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
          year={2025},
          month={October},
        }

@inproceedings{ramos2025traces,
	author = {Ryan Ramos and Vladan Stojnić and
                  Giorgos Kordopatis-Zilos and
                  Yuta Nakashima and
                  Giorgos Tolias and
                  Noa Garcia},
	title = {Processing and acquisition traces in visual encoders: What does CLIP know about your camera?},
	booktitle = {{ICCV}},
	year = {2025}
}

@inproceedings{langerman2025explaininghumanpreferencesmetrics,
	title = {Explaining Human Preferences via Metrics for Structured 3D Reconstruction},
	author = {Jack Langerman and Denys Rozumnyi and Yuzhong Huang and Dmytro Mishkin},
	year = {2025},
	booktitle = {ICCV},
	url = {https://arxiv.org/abs/2503.08208}
}

@inproceedings{
kisel2025flaws,
title={Flaws of ImageNet, Computer Vision's Favourite Dataset},
author={Nikita Kisel and Illia Volkov and Kate{\v{r}}ina Hanzelkov{\'a} and Klara Janouskova and Jiri Matas},
booktitle={The Fourth Blogpost Track at ICLR 2025},
year={2025},
url={https://openreview.net/forum?id=c6igqDpJCC}
}

@inproceedings{psomas2025instance,
  title={Instance-level composed image retrieval},
  author={Psomas, Bill and Retsinas, George and Efthymiadis, Nikos and Filntisis, Panagiotis and Avrithis, Yannis and Maragos, Petros and Chum, Ondrej and Tolias, Giorgos},
  booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}
}

@inproceedings{crafting2025,
  title={Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization},
  author={Efthymiadis, Nikos and Tolias, Giorgos and Chum, Ondřej},
  booktitle={IEEE Winter Conference on Applications of Computer Vision},
  year={2025}
}

@inproceedings{composed2025,
  title={Composed Image Retrieval for Training-Free Domain Conversion},
  author={Efthymiadis, Nikos and Psomas, Bill and Laskar, Zakaria and Karantzalos, Konstantinos and Avrithis, Yannis and Chum, Ondřej and Tolias, Giorgos},
  booktitle={IEEE Winter Conference on Applications of Computer Vision},
  year={2025}
}

@inproceedings{serych2025mftiq,
	       title={{MFTIQ}: Multi-Flow Tracker with Independent Matching Quality Estimation},
	       author={Serych, Jonas and Neoral, Michal and Matas, Jiri},
	       journal={arXiv preprint arXiv:2411.09551},
	       year={2024},
}

@article{wei2024breaking,
  title={Breaking the Frame: Visual Place Recognition by Overlap Prediction},
  author={Wei, Tong and Lindenberger, Philipp and Matas, Jiri and Barath, Daniel},
  journal={arXiv preprint arXiv:2406.16204},
  year={2024}
}

@InProceedings{10.1007/978-981-96-0972-7_20,
author="Ypsilantis, Nikolaos-Antonios
and Chum, Ond{\v{r}}ej",
editor="Cho, Minsu
and Laptev, Ivan
and Tran, Du
and Yao, Angela
and Zha, Hongbin",
title="Co-segmentation Without any Pixel-Level Supervision with Application to Large-Scale Sketch Classification",
booktitle="Computer Vision -- ACCV 2024",
year="2025",
publisher="Springer Nature Singapore",
address="Singapore",
pages="342--358",
abstract="This work proposes a novel method for object co-segmentation, i.e. pixel-level localization of a common object in a set of images, that uses no pixel-level supervision for training. Two pre-trained Vision Transformer (ViT) models are exploited: ImageNet classification-trained ViT, whose features are used to estimate rough object localization through intra-class token relevance, and a self-supervised DINO-ViT for intra-image token relevance. On recent challenging benchmarks, the method achieves state-of-the-art performance among methods trained with the same level of supervision (image labels) while being competitive with methods trained with pixel-level supervision (binary masks).",
isbn="978-981-96-0972-7"
}

@inproceedings{pizzi2024vsc,
  title = {The 2023 video similarity dataset and challenge},
  author = {Pizzi, Ed and Kordopatis-Zilos, Giorgos and Patel, Hiral and Postelnicu, Gheorghe and Ravindra, Sugosh Nagavara and Gupta, Akshay and Papadopoulos, Symeon and Tolias, Giorgos and Douze, Matthijs},
  booktitle = {Computer Vision and Image Understanding (CVIU)},
  year = {2024},
}

@inproceedings{stojnic2024label,
	author = {Vladan Stojnić and
                  Yannis Kalantidis and
                  Giorgos Tolias},
	title = {Label Propagation for Zero-shot Classification with Vision-Language
                  Models},
	booktitle = {{CVPR}},
	year = {2024}
}

@inproceedings{ding2024noisy,
  title={Noisy one-point homographies are surprisingly good},
  author={Ding, Yaqing and Astermark, Jonathan and Oskarsson, Magnus and Larsson, Viktor},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5125--5134},
  year={2024}
}

@inproceedings{10.1007/978-3-031-72998-0_24,
	author = {Barath, Daniel
and Mishkin, Dmytro
and Cavalli, Luca
and Sarlin, Paul-Edouard
and Hruby, Petr
and Pollefeys, Marc},
	editor = {Leonardis, Ale{\v{s}}
and Ricci, Elisa
and Roth, Stefan
and Russakovsky, Olga
and Sattler, Torsten
and Varol, G{\"u}l},
	title = {StereoGlue: Robust Estimation with Single-Point Solvers},
	booktitle = {Computer Vision -- ECCV 2024},
	year = {2025},
	publisher = {Springer Nature Switzerland},
	address = {Cham},
	pages = {421--441},
	abstract = {We propose StereoGlue, a method designed for joint feature matching and robust estimation that effectively reduces the combinatorial complexity of these tasks using single-point minimal solvers. StereoGlue is applicable to a range of problems, including but not limited to relative pose and homography estimation, determining absolute pose with 2D-3D correspondences, and estimating 3D rigid transformations between point clouds. StereoGlue starts with a set of one-to-many tentative correspondences, iteratively forms tentative matches, and estimates the minimal sample model. This model then facilitates guided matching, leading to consistent one-to-one matches, whose number serves as the model score. StereoGlue is superior to the state-of-the-art robust estimators on real-world datasets on multiple problems, improving upon a number of recent feature detectors and matchers. Additionally, it shows improvements in point cloud matching and absolute camera pose estimation. The code is at: https://github.com/danini/stereoglue.},
	isbn = {978-3-031-72998-0}
}

@inproceedings{ding2024fundamental,
  title={Fundamental matrix estimation using relative depths},
  author={Ding, Yaqing and V{\'a}vra, V{\'a}clav and Bhayani, Snehal and Wu, Qianliang and Yang, Jian and Kukelova, Zuzana},
  booktitle={European Conference on Computer Vision},
  pages={142--159},
  year={2024},
  organization={Springer}
}

@inproceedings{wu2024diff,
  title={Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem},
  author={Wu, Qianliang and Jiang, Haobo and Luo, Lei and Li, Jun and Ding, Yaqing and Xie, Jin and Yang, Jian},
  booktitle={European Conference on Computer Vision},
  pages={160--178},
  year={2024},
  organization={Springer}
}

@article{Nguyen-Ha24:371779,
	author = {Nguyen-Ha, P. and Huynh, L. and Rahtu, E., and Matas, J.},
	title = {Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis},
	year = {2024},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	language = {English},
	url = {https://ieeexplore.ieee.org/abstract/document/10328666},
	doi = {10.1109/TPAMI.2023.3335311}
}

@article{Wang24:372774,
	author = {Wang, S. and Laskar, Z. and Melekhov, I. and Li, X. and Zhao, Y. and Tolias, G., and Kannala, J.},
	title = {HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer},
	year = {2024},
	journal = {International Journal of Computer Vision},
	language = {English},
	url = {https://link.springer.com/article/10.1007/s11263-023-01982-9},
	doi = {10.1007/s11263-023-01982-9}
}

@inproceedings{NEURIPS2024_9df6a759,
 author = {Ypsilantis, Nikolaos-Antonios and Chen, Kaifeng and Araujo, Andre and Chum, Ondrej},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
 pages = {86836--86859},
 publisher = {Curran Associates, Inc.},
 title = {UDON: Universal Dynamic Online distillatioN for generic image representations},
 url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/9df6a759e01b871a009138bcc0471607-Paper-Conference.pdf},
 volume = {37},
 year = {2024}
}

@article{
janouskova2024single,
title={Single Image Test-Time Adaptation for Segmentation},
author={Klara Janouskova and Tamir Shor and Chaim Baskin and Jiri Matas},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2024},
url={https://openreview.net/forum?id=68LsWm2GuD},
note={}
}

@inproceedings{Neoral24:373794,
	author = {Neoral, M. and {\v S}er{\' y}ch, J., and Matas, J.},
	title = {{MFT}: Long-Term Tracking of Every Pixel},
	booktitle = {2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
	publisher = {IEEE},
	address = {Piscataway, US},
	year = {2024},
	language = {English},
	url = {https://ieeexplore.ieee.org/document/10484299},
	doi = {10.1109/WACV57701.2024.00669}
}

@inproceedings{stojnic2024training,
	author = {Vladan Stojnić and
                  Zakaria Laskar and
                  Giorgos Tolias},
	title = {Training Ensembles with Inliers and Outliers for Semi-supervised Active
                  Learning},
	booktitle = {{WACV}},
	pages = {259--268},
	publisher = {{IEEE}},
	year = {2024}
}

@inproceedings{Vavra2023,
	author = {Vávra, Václav and Mishkin, Dmytro and Matas, Jiří},
	booktitle = {2023 IEEE International Conference on Image Processing (ICIP)},
	title = {DoG Accuracy Via Equivariance: Get The Interpolation Right},
	year = {2023},
	volume = {},
	number = {},
	pages = {136-140},
	keywords = {Interpolation;Image matching;Focusing;Detectors;Dogs;Feature extraction;Libraries;Difference of Gaussians;feature detector;local features;OpenCV;Kornia},
	doi = {10.1109/ICIP49359.2023.10222153}
}

@inproceedings{Subrtova23:367657,
	author = {{\v S}ubrtov{\' a}, A. and Luk{\' a}{\v c}, M. and {\v C}ech, J. and Futschik, D. and Shechtman, E., and S{\' y}kora, D.},
	title = {Diffusion Image Analogies},
	booktitle = {ACM SIGGRAPH 2023 Conference Proceedings},
	publisher = {ACM SIGGRAPH},
	address = {New York, US},
	year = {2023},
	language = {English},
	url = {https://dcgi.fel.cvut.cz/home/sykorad/dia.html},
	doi = {10.1145/3588432.3591558}
}

@inproceedings{Barath23:367030,
	author = {Barath, D. and Mishkin, D. and Polic, M. and Forstner, W., and Matas, J.},
	title = {A Large-Scale Homography Benchmark},
	booktitle = {Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
	publisher = {IEEE Computer Society},
	address = {USA, US},
	year = {2023},
	language = {English},
	url = {https://openaccess.thecvf.com/content/CVPR2023/papers/Barath_A_Large-Scale_Homography_Benchmark_CVPR_2023_paper.pdf},
	doi = {10.1109/CVPR52729.2023.02046}
}

@inproceedings{Chelani23:371977,
	author = {Chelani, K. and Sattler, T. and Kahl, F., and K{\' u}kelov{\' a}, Z.},
	title = {Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses},
	booktitle = {Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
	publisher = {IEEE Computer Society},
	address = {USA, US},
	year = {2023},
	language = {English},
	url = {https://openaccess.thecvf.com/content/CVPR2023/papers/Chelani_Privacy-Preserving_Representations_Are_Not_Enough_Recovering_Scene_Content_From_Camera_CVPR_2023_paper.pdf},
	doi = {10.1109/CVPR52729.2023.01262}
}

@inproceedings{Panek23:367543,
	author = {P{\' a}nek, V. and K{\' u}kelov{\' a}, Z., and Sattler, T.},
	title = {Visual Localization using Imperfect 3D Models from the Internet},
	booktitle = {Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
	publisher = {IEEE Computer Society},
	address = {USA, US},
	year = {2023},
	language = {English},
	url = {https://ieeexplore.ieee.org/document/10204034},
	doi = {10.1109/CVPR52729.2023.01266}
}

@inproceedings{Barath23:371780,
	author = {Barath, D. and Rozumnyi, D. and Eichhardt, I. and Hajder, L., and Matas, J.},
	title = {Finding Geometric Models by Clustering in the Consensus Space},
	booktitle = {Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
	publisher = {IEEE Computer Society},
	address = {USA, US},
	year = {2023},
	language = {English},
	url = {https://ieeexplore.ieee.org/document/10203844},
	doi = {10.1109/CVPR52729.2023.00524}
}

@inproceedings{Wei23:370527,
	author = {Wei, T. and Patel, Y. and Shekhovtsov, O. and Matas, J., and Bar{\' a}th, D.},
	title = {Generalized Differentiable RANSAC},
	booktitle = {ICCV2023: Proceedings of the International Conference on Computer Vision},
	publisher = {IEEE},
	address = {Piscataway, US},
	year = {2023},
	language = {English},
	url = {https://ieeexplore.ieee.org/document/10378404},
	doi = {10.1109/ICCV51070.2023.01618}
}

@inproceedings{Wei23:369997,
	author = {Wei, T. and Matas, J., and Bar{\' a}th, D.},
	title = {Adaptive Reordering Sampler with Neurally Guided MAGSAC},
	booktitle = {ICCV2023: Proceedings of the International Conference on Computer Vision},
	publisher = {IEEE},
	address = {Piscataway, US},
	year = {2023},
	language = {English},
	url = {https://ieeexplore.ieee.org/document/10378195},
	doi = {10.1109/ICCV51070.2023.01665}
}