Randomized RANSAC with T(d, d) test. - Jiri Matas; Ondrej Chum (BMVC, 2002)

Local Affine Frames for Wide-Baseline Stereo. - Jiri Matas; Stepán Obdrzálek; Ondrej Chum (ICPR (4), 2002)

Joint Orientation of Epipoles. - Ondrej Chum; Tomás Werner; Tomás Pajdla (BMVC, 2003)

Locally Optimized RANSAC. - Ondrej Chum; Jiri Matas; Josef Kittler (DAGM-Symposium, 2003)

Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images. - Hugo Cornelius; Radim Sára; Daniel Martinec; Tomás Pajdla; Ondrej Chum; Jiri Matas (ECCV Workshop SMVP, 2004)

Epipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraint. - Ondrej Chum; Tomás Werner; Jiri Matas (ICPR (1), 2004)

Randomized RANSAC with Td, d test. - Jiri Matas; Ondrej Chum (Image Vis. Comput., 2004)

Robust wide-baseline stereo from maximally stable extremal regions. - Jiri Matas; Ondrej Chum; Martin Urban; Tomás Pajdla (Image Vis. Comput., 2004)

Matching with PROSAC - Progressive Sample Consensus. - Ondrej Chum; Jiri Matas (CVPR (1), 2005)

Two-View Geometry Estimation Unaffected by a Dominant Plane. - Ondrej Chum; Tomás Werner; Jiri Matas (CVPR (1), 2005)

Randomized RANSAC with Sequential Probability Ratio Test. - Jiri Matas; Ondrej Chum (ICCV, 2005)

The geometric error for homographies. - Ondrej Chum; Tomás Pajdla; Peter F. Sturm (Comput. Vis. Image Underst., 2005)

Geometric Hashing with Local Affine Frames. - Ondrej Chum; Jiri Matas (CVPR (1), 2006)

Epipolar Geometry from Two Correspondences. - Michal Perdoch; Jiri Matas; Ondrej Chum (ICPR (4), 2006)

3D Geometry from Uncalibrated Images. - George I. Kamberov; Gerda Kamberova; Ondrej Chum; Stepán Obdrzálek; Daniel Martinec; Jana Kostková; Tomás Pajdla; Jiri Matas; Radim Sára (ISVC (2), 2006)

Oxford TRECVID 2006 - Notebook paper. - James Philbin; Anna Bosch; Ondrej Chum; Jan-Mark Geusebroek; Josef Sivic; Andrew Zisserman (TRECVID, 2006)

Scalable near identical image and shot detection. - Ondrej Chum; James Philbin; Michael Isard; Andrew Zisserman (CIVR, 2007)

An Exemplar Model for Learning Object Classes. - Ondrej Chum; Andrew Zisserman (CVPR, 2007)

Object retrieval with large vocabularies and fast spatial matching. - James Philbin; Ondrej Chum; Michael Isard; Josef Sivic; Andrew Zisserman (CVPR, 2007)

Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. - Ondrej Chum; James Philbin; Josef Sivic; Michael Isard; Andrew Zisserman (ICCV, 2007)

Oxford TRECVid 2007 u2013 Notebook paper. - James Philbin; Ondrej Chum; Josef Sivic; Vittorio Ferrari; Manuel J. Marín-Jiménez; Anna Bosch; Nicholas Apostolof; Andrew Zisserman (TRECVID, 2007)

Near Duplicate Image Detection: min-Hash and tf-idf Weighting. - Ondrej Chum; James Philbin; Andrew Zisserman (BMVC, 2008)

Lost in quantization: Improving particular object retrieval in large scale image databases. - James Philbin; Ondrej Chum; Michael Isard; Josef Sivic; Andrew Zisserman (CVPR, 2008)

Optimal Randomized RANSAC. - Ondrej Chum; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Geometric min-Hashing: Finding a (thick) needle in a haystack. - Ondrej Chum; Michal Perdoch; Jiri Matas (CVPR, 2009)

Efficient representation of local geometry for large scale object retrieval. - Michal Perdoch; Ondrej Chum; Jiri Matas (CVPR, 2009)

Planar Affine Rectification from Change of Scale. - Ondrej Chum; Jiri Matas (ACCV (4), 2010)

Unsupervised discovery of co-occurrence in sparse high dimensional data. - Ondrej Chum; Jiri Matas (CVPR, 2010)

Learning a Fine Vocabulary. - Andrej Mikulík; Michal Perdoch; Ondrej Chum; Jiri Matas (ECCV (3), 2010)

Image Matching and Retrieval by Repetitive Patterns. - Petr Doubek; Jiri Matas; Michal Perdoch; Ondrej Chum (ICPR, 2010)

Construction of Precise Local Affine Frames. - Andrej Mikulík; Jiri Matas; Michal Perdoch; Ondrej Chum (ICPR, 2010)

Large-Scale Discovery of Spatially Related Images. - Ondrej Chum; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Total recall II: Query expansion revisited. - Ondrej Chum; Andrej Mikulík; Michal Perdoch; Jiri Matas (CVPR, 2011)

Fixing the Locally Optimized RANSAC. - Karel Lebeda; Jiri Matas; Ondrej Chum (BMVC, 2012)

Fast computation of min-Hash signatures for image collections. - Ondrej Chum; Jiri Matas (CVPR, 2012)

Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening. - Hervé Jégou; Ondrej Chum (ECCV (2), 2012)

Homography estimation from correspondences of local elliptical features. - Ondrej Chum; Jiri Matas (ICPR, 2012)

Approximate models for fast and accurate epipolar geometry estimation. - James Pritts; Ondrej Chum; Jiri Matas (IVCNZ, 2013)

Image Retrieval for Online Browsing in Large Image Collections. - Andrej Mikulík; Ondrej Chum; Jiri Matas (SISAP, 2013)

Learning Vocabularies over a Fine Quantization. - Andrej Mikulík; Michal Perdoch; Ondrej Chum; Jiri Matas (Int. J. Comput. Vis., 2013)

USAC: A Universal Framework for Random Sample Consensus. - Rahul Raguram; Ondrej Chum; Marc Pollefeys; Jiri Matas; Jan-Michael Frahm (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Efficient Image Detail Mining. - Andrej Mikulík; Filip Radenovic; Ondrej Chum; Jiri Matas (ACCV (2), 2014)

Rectification, and Segmentation of Coplanar Repeated Patterns. - James Pritts; Ondrej Chum; Jiri Matas (CVPR, 2014)

Relevance Assessment for Visual Video Re-ranking. - Javier Aldana-Iuit; Ondrej Chum; Jiri Matas (ICIAR (1), 2014)

Erratum to: Learning Vocabularies over a Fine Quantization. - Andrej Mikulík; Michal Perdoch; Ondrej Chum; Jiri Matas (Int. J. Comput. Vis., 2014)

Camera Elevation Estimation from a Single Mountain Landscape Photograph. - Martin Cadík; Jan Vasícek; Michal Hradis; Filip Radenovic; Ondrej Chum (BMVC, 2015)

From single image query to detailed 3D reconstruction. - Johannes L. Schönberger; Filip Radenovic; Ondrej Chum; Jan-Michael Frahm (CVPR, 2015)

Low Dimensional Explicit Feature Maps. - Ondrej Chum (ICCV, 2015)

Towards visual words to words. - Rakesh Mehta; Ondrej Chum; Jiri Matas (ICDAR, 2015)

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors. - Filip Radenovic; Hervé Jégou; Ondrej Chum (ICMR, 2015)

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version. - Filip Radenovic; Hervé Jégou; Ondrej Chum (CoRR, 2015)

Coplanar Repeats by Energy Minimization. - James Pritts; Denys Rozumnyi; M. Pawan Kumar; Ondrej Chum (BMVC, 2016)

From Dusk Till Dawn: Modeling in the Dark. - Filip Radenovic; Johannes L. Schönberger; Dinghuang Ji; Jan-Michael Frahm; Ondrej Chum; Jiri Matas (CVPR, 2016)

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (ECCV (1), 2016)

In the Saddle: Chasing fast and repeatable features. - Javier Aldana-Iuit; Dmytro Mishkin; Ondrej Chum; Jiri Matas (ICPR, 2016)

Multiple-Kernel Local-Patch Descriptor. - Arun Mukundan; Giorgos Tolias; Ondrej Chum (BMVC, 2017)

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Teddy Furon; Ondrej Chum (CVPR, 2017)

Asymmetric Feature Maps with Application to Sketch Based Retrieval. - Giorgos Tolias; Ondrej Chum (CVPR, 2017)

Panorama to Panorama Matching for Location Recognition. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Teddy Furon; Ondrej Chum (ICMR, 2017)

Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem. - Arun Mukundan; Giorgos Tolias; Ondrej Chum (SCIA (1), 2017)

Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (CoRR, 2017)

Unsupervised deep object discovery for instance recognition. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CoRR, 2017)

Optimizing explicit feature maps on intervals. - Ondrej Chum (Image Vis. Comput., 2017)

Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. - Ahmet Iscen; Yannis Avrithis; Giorgos Tolias; Teddy Furon; Ondrej Chum (ACCV (2), 2018)

Rectification from Radially-Distorted Scales. - James Pritts; Zuzana Kukelova; Viktor Larsson; Ondrej Chum (ACCV (5), 2018)

Fast Spectral Ranking for Similarity Search. - Ahmet Iscen; Yannis Avrithis; Giorgos Tolias; Teddy Furon; Ondrej Chum (CVPR, 2018)

Mining on Manifolds: Metric Learning Without Labels. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2018)

Radially-Distorted Conjugate Translations. - James Pritts; Zuzana Kukelova; Viktor Larsson; Ondrej Chum (CVPR, 2018)

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. - Filip Radenovic; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2018)

Local Orthogonal-Group Testing. - Ahmet Iscen; Ondrej Chum (ECCV (2), 2018)

Deep Shape Matching. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (ECCV (5), 2018)

Unsupervised Object Discovery for Instance Recognition. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (WACV, 2018)

Efficient contour match kernel. - Giorgos Tolias; Ondrej Chum (Image Vis. Comput., 2018)

Label Propagation for Deep Semi-Supervised Learning. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2019)

Explicit Spatial Encoding for Deep Local Descriptors. - Arun Mukundan; Giorgos Tolias; Ondrej Chum (CVPR, 2019)

Local Features and Visual Words Emerge in Activations. - Oriane Siméoni; Yannis Avrithis; Ondrej Chum (CVPR, 2019)

No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions. - Tomás Jenícek; Ondrej Chum (ICCV, 2019)

Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. - Giorgos Tolias; Filip Radenovic; Ondrej Chum (ICCV, 2019)

Linking Art through Human Poses. - Tomás Jenícek; Ondrej Chum (ICDAR, 2019)

Understanding and Improving Kernel Local Descriptors. - Arun Mukundan; Giorgos Tolias; Andrei Bursuc; Hervé Jégou; Ondrej Chum (Int. J. Comput. Vis., 2019)

Graph-based particular object discovery. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (Mach. Vis. Appl., 2019)

Fine-Tuning CNN Image Retrieval with No Human Annotation. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum; Cordelia Schmid (ECCV (10), 2020)

Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition. - Giorgos Tolias; Tomás Jenícek; Ondrej Chum (ECCV (1), 2020)

Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. - James Pritts; Zuzana Kukelova; Viktor Larsson; Yaroslava Lochman; Ondrej Chum (Int. J. Comput. Vis., 2020)

Saddle: Fast and repeatable features with good coverage. - Javier Aldana-Iuit; Dmytro Mishkin; Ondrej Chum; Jiri Matas (Image Vis. Comput., 2020)

Results and findings of the 2021 Image Similarity Challenge. - Zoë Papakipos; Giorgos Tolias; Tomás Jenícek; Ed Pizzi; Shuhei Yokoo; Wenhao Wang; Yifan Sun 003; Weipu Zhang; Yi Yang 001; Sanjay Addicam; Sergio Manuel Papadakis; Cristian Canton-Ferrer; et al. (NeurIPS (Competition and Demos), 2021)

The 2021 Image Similarity Dataset and Challenge. - Matthijs Douze; Giorgos Tolias; Ed Pizzi; Zoë Papakipos; Lowik Chanussot; Filip Radenovic; Tomás Jenícek; Maxim Maximov; Laura Leal-Taixé; Ismail Elezi; Ondrej Chum; Cristian Canton-Ferrer (CoRR, 2021)

Minimal Solvers for Rectifying From Radially-Distorted Conjugate Translations. - James Pritts; Zuzana Kukelova; Viktor Larsson; Yaroslava Lochman; Ondrej Chum (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Object-Guided Day-Night Visual localization in Urban Scenes. - Assia Benbihi; Cédric Pradalier; Ondrej Chum (ICPR, 2022)

Edge Augmentation for Large-Scale Sketch Recognition without Sketches. - Nikos Efthymiadis; Giorgos Tolias; Ondrej Chum (ICPR, 2022)

Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning. - Albert Mohwald; Tomás Jenícek; Ondrej Chum (ICCV, 2023)

Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; Bingyi Cao; Mário Lipovský; Pelin Dogan-Schönberger; Grzegorz Makosa; Boris Bluntschli; Mojtaba Seyedhosseini; Ondrej Chum; André Araújo 001 (ICCV, 2023)

Co-segmentation Without any Pixel-Level Supervision with Application to Large-Scale Sketch Classification. - Nikolaos-Antonios Ypsilantis; Ondrej Chum (ACCV (10), 2024)

Composed Image Retrieval for Remote Sensing. - Bill Psomas; Ioannis Kakogeorgiou; Nikos Efthymiadis; Giorgos Tolias; Ondrej Chum; Yannis Avrithis; Konstantinos Karantzalos (IGARSS, 2024)

UDON: Universal Dynamic Online distillatioN for generic image representations. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; André Araújo 001; Ondrej Chum (NeurIPS, 2024)

ILIAS: Instance-Level Image retrieval At Scale. - Giorgos Kordopatis-Zilos; Vladan Stojnic; Anna Manko; Pavel Suma; Nikolaos-Antonios Ypsilantis; Nikos Efthymiadis; Zakaria Laskar; Jiri Matas; Ondrej Chum; Giorgos Tolias (CVPR, 2025)

Composed Image Retrieval for Training-FREE DOMain Conversion. - Nikos Efthymiadis; Bill Psomas; Zakaria Laskar; Konstantinos Karantzalos; Yannis Avrithis; Ondrej Chum; Giorgos Tolias (WACV, 2025)

Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization. - Nikos Efthymiadis; Giorgos Tolias; Ondrej Chum (WACV, 2025)

Infusing fine-grained visual knowledge to Vision-Language Models. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; André Araújo 001; Ondrej Chum (CoRR, 2025)