Követés
Tomas Pajdla
Tomas Pajdla
Associate professor, Czech Technical University in Prague
E-mail megerősítve itt: cvut.cz - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Robust wide-baseline stereo from maximally stable extremal regions
J Matas, O Chum, M Urban, T Pajdla
Image and vision computing 22 (10), 761-767, 2004
67652004
NetVLAD: CNN architecture for weakly supervised place recognition
R Arandjelovic, P Gronat, A Torii, T Pajdla, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2016
34152016
3D with Kinect
J Smisek, M Jancosek, T Pajdla
Consumer depth cameras for computer vision: Research topics and applications …, 2013
9922013
D2-net: A trainable cnn for joint description and detection of local features
M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019
8032019
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
T Sattler, W Maddern, C Toft, A Torii, L Hammarstrand, E Stenborg, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
7482018
A convenient multicamera self-calibration for virtual environments
T Svoboda, D Martinec, T Pajdla
Presence: Teleoperators & virtual environments 14 (4), 407-422, 2005
6952005
24/7 Place Recognition by View Synthesis
A Torii, R Arandjelovic, J Sivic, M Okutomi, T Pajdla
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
6862015
Multi-view reconstruction preserving weakly-supported surfaces
M Jancosek, T Pajdla
CVPR 2011, 3121-3128, 2011
585*2011
Visual Place Recognition with Repetitive Structures
A Torii, J Sivic, M Okutomi, T Pajdla
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (11), 2346 …, 2015
5382015
InLoc: Indoor visual localization with dense matching and view synthesis
H Taira, M Okutomi, T Sattler, M Cimpoi, M Pollefeys, J Sivic, T Pajdla, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
5372018
D2-net: A trainable cnn for joint detection and description of local features
M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler
arXiv preprint arXiv:1905.03561, 2019
4902019
Neighbourhood consensus networks
I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic
Advances in neural information processing systems 31, 2018
4672018
Robust rotation and translation estimation in multiview reconstruction
D Martinec, T Pajdla
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
4532007
Automatic generator of minimal problem solvers
Z Kukelova, M Bujnak, T Pajdla
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
3362008
Avoiding confusing features in place recognition
J Knopp, J Sivic, T Pajdla
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
3052010
Epipolar geometry for central catadioptric cameras
T Svoboda, T Pajdla
International Journal of Computer Vision 49 (1), 23-37, 2002
2992002
Springer International Publishing: Cham
D Fleet, T Pajdla, B Schiele, T Tuytelaars
Switzerland 8693, 740-755, 2014
2872014
Epipolar geometry for panoramic cameras
T Svoboda, T Pajdla, V Hlaváč
Computer Vision—ECCV'98: 5th European Conference on Computer Vision …, 1998
2611998
Structure from motion with wide circular field of view cameras
B Micusik, T Pajdla
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (7), 1135-1149, 2006
2502006
Are large-scale 3d models really necessary for accurate visual localization?
T Sattler, A Torii, J Sivic, M Pollefeys, H Taira, M Okutomi, T Pajdla
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2422017
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Cikkek 1–20