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2020 – today
- 2022
[i34]Zoë Papakipos, Giorgos Tolias, Tomás Jenícek, Ed Pizzi, Shuhei Yokoo, Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang, Sanjay Addicam, Sergio Manuel Papadakis, Cristian Canton-Ferrer, Ondrej Chum, Matthijs Douze:
Results and findings of the 2021 Image Similarity Challenge. CoRR abs/2202.04007 (2022)- [i33]Assia Benbihi, Cédric Pradalier, Ondrej Chum:
Object-Guided Day-Night Visual Localization in Urban Scenes. CoRR abs/2202.04445 (2022) - [i32]Nikos Efthymiadis, Giorgos Tolias, Ondrej Chum:
Edge Augmentation for Large-Scale Sketch Recognition without Sketches. CoRR abs/2202.13164 (2022) - 2021
- [j16]James Pritts
, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying From Radially-Distorted Conjugate Translations. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3931-3948 (2021) - [i31]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:
The 2021 Image Similarity Dataset and Challenge. CoRR abs/2106.09672 (2021) - 2020
- [j15]James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. Int. J. Comput. Vis. 128(4): 950-968 (2020) - [j14]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
Saddle: Fast and repeatable features with good coverage. Image Vis. Comput. 97: 3807 (2020) - [c69]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. ECCV (10) 2020: 286-302 - [c68]Giorgos Tolias, Tomás Jenícek, Ondrej Chum:
Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition. ECCV (1) 2020: 460-477 - [i30]Giorgos Tolias, Tomás Jenícek, Ondrej Chum:
Learning and aggregating deep local descriptors for instance-level recognition. CoRR abs/2007.13172 (2020)
2010 – 2019
- 2019
- [j13]Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum:
Understanding and Improving Kernel Local Descriptors. Int. J. Comput. Vis. 127(11-12): 1723-1737 (2019) - [j12]Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Graph-based particular object discovery. Mach. Vis. Appl. 30(2): 243-254 (2019) - [j11]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Fine-Tuning CNN Image Retrieval with No Human Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1655-1668 (2019) - [c67]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Label Propagation for Deep Semi-Supervised Learning. CVPR 2019: 5070-5079 - [c66]Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Explicit Spatial Encoding for Deep Local Descriptors. CVPR 2019: 9394-9403 - [c65]Oriane Siméoni, Yannis Avrithis, Ondrej Chum:
Local Features and Visual Words Emerge in Activations. CVPR 2019: 11651-11660 - [c64]Giorgos Tolias, Filip Radenovic, Ondrej Chum:
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. ICCV 2019: 5036-5045 - [c63]Tomás Jenícek, Ondrej Chum:
No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions. ICCV 2019: 9695-9703 - [c62]Tomás Jenícek, Ondrej Chum:
Linking Art through Human Poses. ICDAR 2019: 1338-1345 - [i29]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Label Propagation for Deep Semi-supervised Learning. CoRR abs/1904.04717 (2019) - [i28]Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Explicit Spatial Encoding for Deep Local Descriptors. CoRR abs/1904.07190 (2019) - [i27]Oriane Siméoni, Yannis Avrithis, Ondrej Chum:
Local Features and Visual Words Emerge in Activations. CoRR abs/1905.06358 (2019) - [i26]Tomás Jenícek, Ondrej Chum:
Linking Art through Human Poses. CoRR abs/1907.03537 (2019) - [i25]James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. CoRR abs/1907.11539 (2019) - [i24]Tomás Jenícek, Ondrej Chum:
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions. CoRR abs/1908.08999 (2019) - [i23]Giorgos Tolias, Filip Radenovic, Ondrej Chum:
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower. CoRR abs/1908.09163 (2019) - [i22]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. CoRR abs/1910.00324 (2019) - [i21]James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations. CoRR abs/1911.01507 (2019) - 2018
- [j10]Giorgos Tolias, Ondrej Chum:
Efficient contour match kernel. Image Vis. Comput. 76: 14-26 (2018) - [c61]James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Rectification from Radially-Distorted Scales. ACCV (5) 2018: 36-52 - [c60]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. ACCV (2) 2018: 301-316 - [c59]James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Radially-Distorted Conjugate Translations. CVPR 2018: 1993-2001 - [c58]Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CVPR 2018: 5706-5715 - [c57]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Fast Spectral Ranking for Similarity Search. CVPR 2018: 7632-7641 - [c56]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Mining on Manifolds: Metric Learning Without Labels. CVPR 2018: 7642-7651 - [c55]Ahmet Iscen, Ondrej Chum:
Local Orthogonal-Group Testing. ECCV (2) 2018: 460-476 - [c54]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Deep Shape Matching. ECCV (5) 2018: 774-791 - [c53]Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Unsupervised Object Discovery for Instance Recognition. WACV 2018: 1745-1754 - [i20]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Mining on Manifolds: Metric Learning without Labels. CoRR abs/1803.11095 (2018) - [i19]Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CoRR abs/1803.11285 (2018) - [i18]James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Rectification from Radially-Distorted Scales. CoRR abs/1807.06110 (2018) - [i17]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. CoRR abs/1807.08692 (2018) - [i16]Ahmet Iscen, Ondrej Chum:
Local Orthogonal-Group Testing. CoRR abs/1807.09848 (2018) - [i15]Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum:
Understanding and Improving Kernel Local Descriptors. CoRR abs/1811.11147 (2018) - 2017
- [j9]Ondrej Chum:
Optimizing explicit feature maps on intervals. Image Vis. Comput. 66: 36-47 (2017) - [c52]Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Multiple-Kernel Local-Patch Descriptor. BMVC 2017 - [c51]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. CVPR 2017: 926-935 - [c50]Giorgos Tolias, Ondrej Chum:
Asymmetric Feature Maps with Application to Sketch Based Retrieval. CVPR 2017: 6185-6193 - [c49]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Panorama to Panorama Matching for Location Recognition. ICMR 2017: 392-396 - [c48]Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem. SCIA (1) 2017: 234-247 - [i14]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Fast Spectral Ranking for Similarity Search. CoRR abs/1703.06935 (2017) - [i13]Giorgos Tolias, Ondrej Chum:
Asymmetric Feature Maps with Application to Sketch Based Retrieval. CoRR abs/1704.03946 (2017) - [i12]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Panorama to panorama matching for location recognition. CoRR abs/1704.06591 (2017) - [i11]Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Multiple-Kernel Local-Patch Descriptor. CoRR abs/1707.07825 (2017) - [i10]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch. CoRR abs/1709.03409 (2017) - [i9]Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Unsupervised deep object discovery for instance recognition. CoRR abs/1709.04725 (2017) - [i8]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Fine-tuning CNN Image Retrieval with No Human Annotation. CoRR abs/1711.02512 (2017) - [i7]James Pritts, Denys Rozumnyi, M. Pawan Kumar, Ondrej Chum:
Coplanar Repeats by Energy Minimization. CoRR abs/1711.09432 (2017) - [i6]James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Radially-Distorted Conjugate Translations. CoRR abs/1711.11339 (2017) - 2016
- [c47]James Pritts, Denys Rozumnyi, M. Pawan Kumar, Ondrej Chum:
Coplanar Repeats by Energy Minimization. BMVC 2016 - [c46]Filip Radenovic, Johannes L. Schönberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas:
From Dusk Till Dawn: Modeling in the Dark. CVPR 2016: 5488-5496 - [c45]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. ECCV (1) 2016: 3-20 - [c44]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing fast and repeatable features. ICPR 2016: 675-680 - [i5]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. CoRR abs/1604.02426 (2016) - [i4]Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum:
Camera Elevation Estimation from a Single Mountain Landscape Photograph. CoRR abs/1607.03305 (2016) - [i3]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing Fast and Repeatable Features. CoRR abs/1608.06800 (2016) - [i2]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. CoRR abs/1611.05113 (2016) - 2015
- [c43]Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum:
Camera Elevation Estimation from a Single Mountain Landscape Photograph. BMVC 2015: 30.1-30.12 - [c42]Johannes L. Schönberger, Filip Radenovic, Ondrej Chum, Jan-Michael Frahm:
From single image query to detailed 3D reconstruction. CVPR 2015: 5126-5134 - [c41]Ondrej Chum:
Low Dimensional Explicit Feature Maps. ICCV 2015: 4077-4085 - [c40]Rakesh Mehta, Ondrej Chum, Jiri Matas:
Towards visual words to words. ICDAR 2015: 641-645 - [c39]Filip Radenovic, Hervé Jégou, Ondrej Chum:
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors. ICMR 2015: 587-590 - [i1]Filip Radenovic, Hervé Jégou, Ondrej Chum:
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version. CoRR abs/1504.03285 (2015) - 2014
- [j8]Andrej Mikulík, Michal Perdoch, Ondrej Chum, Jiri Matas:
Erratum to: Learning Vocabularies over a Fine Quantization. Int. J. Comput. Vis. 106(1): 113 (2014) - [c38]Andrej Mikulík, Filip Radenovic, Ondrej Chum, Jiri Matas:
Efficient Image Detail Mining. ACCV (2) 2014: 118-132 - [c37]James Pritts, Ondrej Chum, Jiri Matas:
Rectification, and Segmentation of Coplanar Repeated Patterns. CVPR 2014: 2973-2980 - [c36]Javier Aldana-Iuit, Ondrej Chum, Jiri Matas:
Relevance Assessment for Visual Video Re-ranking. ICIAR (1) 2014: 421-430 - 2013
- [j7]Andrej Mikulík, Michal Perdoch, Ondrej Chum, Jiri Matas:
Learning Vocabularies over a Fine Quantization. Int. J. Comput. Vis. 103(1): 163-175 (2013) - [j6]Rahul Raguram, Ondrej Chum, Marc Pollefeys, Jiri Matas, Jan-Michael Frahm:
USAC: A Universal Framework for Random Sample Consensus. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2022-2038 (2013) - [c35]James Pritts, Ondrej Chum, Jiri Matas:
Approximate models for fast and accurate epipolar geometry estimation. IVCNZ 2013: 106-111 - [c34]Andrej Mikulík, Ondrej Chum, Jiri Matas:
Image Retrieval for Online Browsing in Large Image Collections. SISAP 2013: 3-15 - 2012
- [c33]Karel Lebeda, Jiri Matas, Ondrej Chum:
Fixing the Locally Optimized RANSAC. BMVC 2012: 1-11 - [c32]Ondrej Chum, Jiri Matas:
Fast computation of min-Hash signatures for image collections. CVPR 2012: 3077-3084 - [c31]Hervé Jégou, Ondrej Chum:
Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening. ECCV (2) 2012: 774-787 - [c30]Ondrej Chum, Jiri Matas:
Homography estimation from correspondences of local elliptical features. ICPR 2012: 3236-3239 - 2011
- [c29]Ondrej Chum, Andrej Mikulík, Michal Perdoch, Jiri Matas:
Total recall II: Query expansion revisited. CVPR 2011: 889-896 - 2010
- [j5]Ondrej Chum, Jiri Matas:
Large-Scale Discovery of Spatially Related Images. IEEE Trans. Pattern Anal. Mach. Intell. 32(2): 371-377 (2010) - [c28]Ondrej Chum, Jiri Matas:
Planar Affine Rectification from Change of Scale. ACCV (4) 2010: 347-360 - [c27]Ondrej Chum, Jiri Matas:
Unsupervised discovery of co-occurrence in sparse high dimensional data. CVPR 2010: 3416-3423 - [c26]Andrej Mikulík, Michal Perdoch, Ondrej Chum, Jiri Matas:
Learning a Fine Vocabulary. ECCV (3) 2010: 1-14 - [c25]Petr Doubek, Jiri Matas, Michal Perdoch, Ondrej Chum:
Image Matching and Retrieval by Repetitive Patterns. ICPR 2010: 3195-3198 - [c24]Andrej Mikulík, Jiri Matas, Michal Perdoch, Ondrej Chum:
Construction of Precise Local Affine Frames. ICPR 2010: 3565-3569
2000 – 2009
- 2009
- [c23]Michal Perdoch, Ondrej Chum, Jiri Matas:
Efficient representation of local geometry for large scale object retrieval. CVPR 2009: 9-16 - [c22]Ondrej Chum, Michal Perdoch, Jiri Matas:
Geometric min-Hashing: Finding a (thick) needle in a haystack. CVPR 2009: 17-24 - 2008
- [j4]Ondrej Chum, Jiri Matas:
Optimal Randomized RANSAC. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1472-1482 (2008) - [c21]Ondrej Chum, James Philbin, Andrew Zisserman:
Near Duplicate Image Detection: min-Hash and tf-idf Weighting. BMVC 2008: 1-10 - [c20]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR 2008 - 2007
- [c19]Ondrej Chum, James Philbin, Michael Isard, Andrew Zisserman:
Scalable near identical image and shot detection. CIVR 2007: 549-556 - [c18]Ondrej Chum, Andrew Zisserman:
An Exemplar Model for Learning Object Classes. CVPR 2007 - [c17]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Object retrieval with large vocabularies and fast spatial matching. CVPR 2007 - [c16]Ondrej Chum, James Philbin, Josef Sivic, Michael Isard, Andrew Zisserman:
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. ICCV 2007: 1-8 - [c15]James Philbin, Ondrej Chum, Josef Sivic, Vittorio Ferrari, Manuel J. Marín-Jiménez, Anna Bosch, Nicholas Apostolof, Andrew Zisserman:
Oxford TRECVid 2007 \u2013 Notebook paper. TRECVID 2007 - 2006
- [c14]Ondrej Chum, Jiri Matas:
Geometric Hashing with Local Affine Frames. CVPR (1) 2006: 879-884 - [c13]Michal Perdoch, Jiri Matas, Ondrej Chum:
Epipolar Geometry from Two Correspondences. ICPR (4) 2006: 215-219 - [c12]George I. Kamberov, Gerda Kamberova, Ondrej Chum, Stepán Obdrzálek, Daniel Martinec, Jana Kostková, Tomás Pajdla, Jiri Matas, Radim Sára:
3D Geometry from Uncalibrated Images. ISVC (2) 2006: 802-813 - [c11]James Philbin, Anna Bosch, Ondrej Chum, Jan-Mark Geusebroek, Josef Sivic, Andrew Zisserman:
Oxford TRECVID 2006 - Notebook paper. TRECVID 2006 - 2005
- [j3]Ondrej Chum, Tomás Pajdla, Peter F. Sturm:
The geometric error for homographies. Comput. Vis. Image Underst. 97(1): 86-102 (2005) - [c10]Ondrej Chum, Jiri Matas:
Matching with PROSAC - Progressive Sample Consensus. CVPR (1) 2005: 220-226 - [c9]Ondrej Chum, Tomás Werner, Jiri Matas:
Two-View Geometry Estimation Unaffected by a Dominant Plane. CVPR (1) 2005: 772-779 - [c8]Jiri Matas, Ondrej Chum:
Randomized RANSAC with Sequential Probability Ratio Test. ICCV 2005: 1727-1732 - 2004
- [j2]Jiri Matas, Ondrej Chum, Martin Urban, Tomás Pajdla:
Robust wide-baseline stereo from maximally stable extremal regions. Image Vis. Comput. 22(10): 761-767 (2004) - [j1]Jiri Matas, Ondrej Chum:
Randomized RANSAC with Td, d test. Image Vis. Comput. 22(10): 837-842 (2004) - [c7]Hugo Cornelius, Radim Sára, Daniel Martinec, Tomás Pajdla, Ondrej Chum, Jiri Matas:
Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images. ECCV Workshop SMVP 2004: 1-12 - [c6]Ondrej Chum, Tomás Werner, Jiri Matas:
Epipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraint. ICPR (1) 2004: 112-115 - 2003
- [c5]Ondrej Chum, Tomás Werner, Tomás Pajdla:
Joint Orientation of Epipoles. BMVC 2003: 1-10 - [c4]Ondrej Chum, Jiri Matas, Josef Kittler:
Locally Optimized RANSAC. DAGM-Symposium 2003: 236-243 - 2002
- [c3]Jiri Matas, Ondrej Chum:
Randomized RANSAC with T(d, d) test. BMVC 2002: 1-10 - [c2]Jiri Matas, Ondrej Chum, Martin Urban, Tomás Pajdla:
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. BMVC 2002: 1-10 - [c1]Jiri Matas, Stepán Obdrzálek, Ondrej Chum:
Local Affine Frames for Wide-Baseline Stereo. ICPR (4) 2002: 363-366
Coauthor Index