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2020 – today
- 2022
[j37]Federica Arrigoni
, Elisa Ricci, Tomás Pajdla:
Multi-frame Motion Segmentation by Combining Two-Frame Results. Int. J. Comput. Vis. 130(3): 696-728 (2022)- [j36]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1020-1034 (2022) - [j35]Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler:
Long-Term Visual Localization Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2074-2088 (2022) - [j34]Karla Stépánová, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomás Pajdla, Matej Hoffmann:
Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation. Robotics Comput. Integr. Manuf. 73: 102250 (2022) - [i28]Evgeniy Martyushev, Jana Vrablikova, Tomás Pajdla:
Optimizing Elimination Templates by Greedy Parameter Search. CoRR abs/2203.14901 (2022) - 2021
- [j33]Akihiko Torii, Hajime Taira, Josef Sivic, Marc Pollefeys, Masatoshi Okutomi, Tomás Pajdla, Torsten Sattler:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 814-829 (2021) - [j32]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1293-1307 (2021) - [c123]Federica Arrigoni, Andrea Fusiello, Elisa Ricci, Tomás Pajdla:
Viewing Graph Solvability via Cycle Consistency. ICCV 2021: 5520-5529 - [e17]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8 [contents] - [e16]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12623, Springer 2021, ISBN 978-3-030-69531-6 [contents] - [e15]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7 [contents] - [e14]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 12625, Springer 2021, ISBN 978-3-030-69537-8 [contents] - [e13]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. Lecture Notes in Computer Science 12626, Springer 2021, ISBN 978-3-030-69540-8 [contents] - [e12]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 12627, Springer 2021, ISBN 978-3-030-69543-9 [contents] - [i27]Timothy Duff, Viktor Korotynskiy, Tomás Pajdla, Margaret H. Regan:
Galois/monodromy groups for decomposing minimal problems in 3D reconstruction. CoRR abs/2105.04460 (2021) - [i26]Petr Hruby, Tomás Pajdla:
Reconstructing Small 3D Objects in front of a Textured Background. CoRR abs/2105.11352 (2021) - [i25]Petr Hruby, Timothy Duff, Anton Leykin, Tomás Pajdla:
Learning to Solve Hard Minimal Problems. CoRR abs/2112.03424 (2021) - 2020
- [j31]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla:
Rolling Shutter Camera Absolute Pose. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1439-1452 (2020) - [c122]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Michal Polic, Tomás Pajdla, Konrad Schindler:
From Two Rolling Shutters to One Global Shutter. CVPR 2020: 2502-2510 - [c121]Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
Uncertainty Based Camera Model Selection. CVPR 2020: 5990-5999 - [c120]Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
TRPLP - Trifocal Relative Pose From Lines at Points. CVPR 2020: 12070-12080 - [c119]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P - Point-Line Minimal Problems Under Partial Visibility in Three Views. ECCV (26) 2020: 175-192 - [c118]Federica Arrigoni, Luca Magri, Tomás Pajdla:
On the Usage of the Trifocal Tensor in Motion Segmentation. ECCV (20) 2020: 514-530 - [c117]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. ECCV (5) 2020: 698-714 - [c116]Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. ECCV (11) 2020: 723-740 - [c115]Federica Arrigoni, Luca Magri, Tomás Pajdla:
Motion Segmentation with Pairwise Matches and Unknown Number of Motions. ICPR 2020: 2896-2903 - [i24]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P - Point-line Minimal Problems under Partial Visibility in Three Views. CoRR abs/2003.05015 (2020) - [i23]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. CoRR abs/2004.14052 (2020) - [i22]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla, Konrad Schindler:
From two rolling shutters to one global shutter. CoRR abs/2006.01964 (2020) - [i21]Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. CoRR abs/2007.10032 (2020) - [i20]Pavel Trutman, Mohab Safey El Din, Didier Henrion, Tomás Pajdla:
Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator. CoRR abs/2007.12550 (2020) - [i19]Karla Stépánová, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomás Pajdla, Matej Hoffmann:
Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation. CoRR abs/2012.07548 (2020)
2010 – 2019
- 2019
- [j30]Karla Stépánová, Tomás Pajdla, Matej Hoffmann:
Robot Self-Calibration Using Multiple Kinematic Chains - A Simulation Study on the iCub Humanoid Robot. IEEE Robotics Autom. Lett. 4(2): 1900-1907 (2019) - [c114]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019: 8092-8101 - [c113]Federica Arrigoni, Tomás Pajdla:
Robust Motion Segmentation From Pairwise Matches. ICCV 2019: 671-681 - [c112]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. ICCV 2019: 1675-1684 - [c111]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. ICCV 2019: 4372-4382 - [c110]Federica Arrigoni, Tomás Pajdla:
Motion Segmentation via Synchronization. ICCV Workshops 2019: 4280-4290 - [i18]Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles Wrampler, Jonathan D. Hauenstein, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
Trifocal Relative Pose from Lines at Points and its Efficient Solution. CoRR abs/1903.09755 (2019) - [i17]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. CoRR abs/1903.10008 (2019) - [i16]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. CoRR abs/1905.03561 (2019) - [i15]Federica Arrigoni, Tomás Pajdla:
Robust Motion Segmentation from Pairwise Matches. CoRR abs/1905.09043 (2019) - [i14]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. CoRR abs/1908.04598 (2019) - 2018
- [j29]Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels:
Distortion Varieties. Found. Comput. Math. 18(4): 1043-1071 (2018) - [j28]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 Place Recognition by View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 257-271 (2018) - [j27]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1437-1451 (2018) - [c109]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem. ACCV (3) 2018: 265-280 - [c108]Viktor Larsson, Magnus Oskarsson, Kalle Åström, Alge Wallis, Zuzana Kukelova, Tomás Pajdla:
Beyond Grobner Bases: Basis Selection for Minimal Solvers. CVPR 2018: 3945-3954 - [c107]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization With Dense Matching and View Synthesis. CVPR 2018: 7199-7209 - [c106]Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla:
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR 2018: 8601-8610 - [c105]Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. ECCV (2) 2018: 697-712 - [c104]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. NeurIPS 2018: 1658-1669 - [i13]Viktor Larsson, Magnus Oskarsson, Kalle Åström, Alge Wallis, Zuzana Kukelova, Tomás Pajdla:
Beyond Gröbner Bases: Basis Selection for Minimal Solvers. CoRR abs/1803.04360 (2018) - [i12]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. CoRR abs/1803.10368 (2018) - [i11]Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. CoRR abs/1808.02414 (2018) - [i10]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. CoRR abs/1810.10510 (2018) - [i9]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Linear solution to the minimal absolute pose rolling shutter problem. CoRR abs/1812.11532 (2018) - 2017
- [j26]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Selecting image pairs for SfM by introducing Jaccard Similarity. IPSJ Trans. Comput. Vis. Appl. 9: 12 (2017) - [j25]Michal Lukác, Daniel Sýkora, Kalyan Sunkavalli, Eli Shechtman, Ondrej Jamriska, Nathan Carr, Tomás Pajdla:
Nautilus: recovering regional symmetry transformations for image editing. ACM Trans. Graph. 36(4): 108:1-108:11 (2017) - [c103]Michal Polic, Tomás Pajdla:
Camera Uncertainty Computation in Large 3D Reconstruction. 3DV 2017: 282-290 - [c102]Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla:
A Clever Elimination Strategy for Efficient Minimal Solvers. CVPR 2017: 3605-3614 - [c101]Cenek Albl, Zuzana Kukelova, Andrew W. Fitzgibbon, Jan Heller, Matej Smíd, Tomás Pajdla:
On the Two-View Geometry of Unsynchronized Cameras. CVPR 2017: 5593-5602 - [c100]Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomás Pajdla:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? CVPR 2017: 6175-6184 - [c99]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Selecting image pairs for SfM by introducing Jaccard similarity. MVA 2017: 25-29 - [c98]Michal Polic, Tomás Pajdla:
Uncertainty Computation in Large 3D Reconstruction. SCIA (1) 2017: 110-121 - [i8]Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla:
A clever elimination strategy for efficient minimal solvers. CoRR abs/1703.05289 (2017) - [i7]Cenek Albl, Zuzana Kukelova, Andrew W. Fitzgibbon, Jan Heller, Matej Smíd, Tomás Pajdla:
On the Two-View Geometry of Unsynchronized Cameras. CoRR abs/1704.06843 (2017) - [i6]Torsten Sattler, Will Maddern, Akihiko Torii, Josef Sivic, Tomás Pajdla, Marc Pollefeys, Masatoshi Okutomi:
Benchmarking 6DOF Urban Visual Localization in Changing Conditions. CoRR abs/1707.09092 (2017) - 2016
- [j24]Jingyi Ju, Bastian Goldluecke, Richard Szeliski, Tomás Pajdla:
Editorial. Comput. Vis. Image Underst. 145: 139 (2016) - [j23]Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. Int. J. Comput. Vis. 118(3): 319-336 (2016) - [j22]Jan Heller, Tomás Pajdla:
GpoSolver: a Matlab/C++ toolbox for global polynomial optimization. Optim. Methods Softw. 31(2): 405-434 (2016) - [j21]Jan Heller, Michal Havlena, Tomás Pajdla:
Globally Optimal Hand-Eye Calibration Using Branch-and-Bound. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 1027-1033 (2016) - [c97]Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
Rolling Shutter Absolute Pose Problem with Known Vertical Direction. CVPR 2016: 3355-3363 - [c96]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. CVPR 2016: 5297-5307 - [c95]Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Degeneracies in Rolling Shutter SfM. ECCV (5) 2016: 36-51 - [i5]Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels:
Distortion Varieties. CoRR abs/1610.01860 (2016) - 2015
- [j20]Akihiko Torii, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
Visual Place Recognition with Repetitive Structures. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2346-2359 (2015) - [c94]Zuzana Kukelova, Jan Heller, Martin Bujnak, Tomás Pajdla:
Radial distortion homography. CVPR 2015: 639-647 - [c93]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 place recognition by view synthesis. CVPR 2015: 1808-1817 - [c92]Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
R6P - Rolling shutter absolute pose problem. CVPR 2015: 2292-2300 - [c91]Zuzana Kukelova, Jan Heller, Martin Bujnak, Andrew W. Fitzgibbon, Tomás Pajdla:
Efficient Solution to the Epipolar Geometry for Radially Distorted Cameras. ICCV 2015: 2309-2317 - [c90]Jan Heller, Michal Havlena, Michal Jancosek, Akihiko Torii, Tomás Pajdla:
3D reconstruction from photographs by CMP SfM web service. MVA 2015: 30-34 - [i4]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN architecture for weakly supervised place recognition. CoRR abs/1511.07247 (2015) - [i3]Andrés Bruhn, Atsushi Imiya, Ales Leonardis, Tomás Pajdla:
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461). Dagstuhl Reports 5(11): 36-61 (2015) - 2014
- [j19]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. IPSJ Trans. Comput. Vis. Appl. 6: 58-62 (2014) - [c89]Jan Heller, Tomás Pajdla:
World-Base Calibration by Global Polynomial Optimization. 3DV 2014: 593-600 - [c88]Filip Srajer, Alexander G. Schwing, Marc Pollefeys, Tomás Pajdla:
Match Box: Indoor Image Matching via Box-Like Scene Estimation. 3DV 2014: 705-712 - [c87]Jan Heller, Didier Henrion, Tomás Pajdla:
Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming. ACCV (1) 2014: 307-321 - [c86]Zuzana Kukelova, Martin Bujnak, Jan Heller, Tomás Pajdla:
Singly-Bordered Block-Diagonal Form for Minimal Problem Solvers. ACCV (2) 2014: 488-502 - [c85]Jan Heller, Didier Henrion, Tomás Pajdla:
Hand-eye and robot-world calibration by global polynomial optimization. ICRA 2014: 3157-3164 - [c84]Cenek Albl, Tomás Pajdla:
Global Camera Parameterization for Bundle Adjustment. VISAPP (3) 2014: 555-561 - [e11]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8689, Springer 2014, ISBN 978-3-319-10589-5 [contents] - [e10]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8690, Springer 2014, ISBN 978-3-319-10604-5 [contents] - [e9]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III. Lecture Notes in Computer Science 8691, Springer 2014, ISBN 978-3-319-10577-2 [contents] - [e8]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV. Lecture Notes in Computer Science 8692, Springer 2014, ISBN 978-3-319-10592-5 [contents] - [e7]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V. Lecture Notes in Computer Science 8693, Springer 2014, ISBN 978-3-319-10601-4 [contents] - [e6]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI. Lecture Notes in Computer Science 8694, Springer 2014, ISBN 978-3-319-10598-7 [contents] - [e5]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII. Lecture Notes in Computer Science 8695, Springer 2014, ISBN 978-3-319-10583-3 [contents] - [i2]Jan Heller, Didier Henrion, Tomás Pajdla:
Hand-Eye and Robot-World Calibration by Global Polynomial Optimization. CoRR abs/1402.3261 (2014) - 2013
- [c83]Zuzana Kukelova, Tomás Pajdla, Martin Bujnak:
Fast and Stable Algebraic Solution to L2 Three-View Triangulation. 3DV 2013: 326-333 - [c82]Akihiko Torii, Josef Sivic, Tomás Pajdla, Masatoshi Okutomi:
Visual Place Recognition with Repetitive Structures. CVPR 2013: 883-890 - [c81]Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR 2013: 907-914 - [c80]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length. ICCV 2013: 2816-2823 - [c79]Simon Fojtu, Karel Zimmermann, Tomás Pajdla, Václav Hlavác:
Domain Adaptation for Sequential Detection. SCIA 2013: 215-224 - [p5]Jan Smisek, Michal Jancosek, Tomás Pajdla:
3D with Kinect. Consumer Depth Cameras for Computer Vision 2013: 3-25 - [i1]Tanja Schilling, Tomás Pajdla:
Euclidean Upgrade from a Minimal Number of Segments. CoRR abs/1304.6990 (2013) - 2012
- [j18]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases. IPSJ Trans. Comput. Vis. Appl. 4: 78-86 (2012) - [j17]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Polynomial Eigenvalue Solutions to Minimal Problems in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1381-1393 (2012) - [j16]Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel:
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1886-1901 (2012) - [c78]Zuzana Kukelova, Jan Heller, Tomás Pajdla:
Hand-Eye Calibration without Hand Orientation Measurement Using Minimal Solution. ACCV (4) 2012: 576-589 - [c77]Thomas Ruland, Tomás Pajdla, Lars Krüger:
Globally optimal hand-eye calibration. CVPR 2012: 1035-1042 - [c76]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
Making minimal solvers fast. CVPR 2012: 1506-1513 - [c75]Jan Heller, Michal Havlena, Tomás Pajdla:
A branch-and-bound algorithm for globally optimal hand-eye calibration. CVPR 2012: 1608-1615 - [c74]Simon Fojtu, Michal Havlena, Tomás Pajdla:
Nao Robot Localization and Navigation Using Fusion of Odometry and Visual Sensor Data. ICIRA (2) 2012: 427-438 - [p4]Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc Van Gool, Rufin Vogels, Stefan Wabnik, Daphna Weinshall:
DIRAC: Detection and Identification of Rare Audio-Visual Events. Detection and Identification of Rare Audiovisual Cues 2012: 3-35 - [p3]