Seguir
Tomas Pajdla
Tomas Pajdla
Associate professor, Czech Technical University in Prague
Dirección de correo verificada de cvut.cz - Página principal
Título
Citado por
Citado por
Año
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
66512004
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
30502016
3D with Kinect
J Smisek, M Jancosek, T Pajdla
Consumer depth cameras for computer vision: Research topics and applications …, 2013
9692013
A convenient multicamera self-calibration for virtual environments
T Svoboda, D Martinec, T Pajdla
Presence: Teleoperators & virtual environments 14 (4), 407-422, 2005
6902005
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
6762019
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
6532018
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
6212015
Multi-view reconstruction preserving weakly-supported surfaces
M Jancosek, T Pajdla
CVPR 2011, 3121-3128, 2011
569*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
4802015
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
4792018
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
4342019
Robust rotation and translation estimation in multiview reconstruction
D Martinec, T Pajdla
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
4342007
Neighbourhood consensus networks
I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic
Advances in neural information processing systems 31, 2018
4132018
Automatic generator of minimal problem solvers
Z Kukelova, M Bujnak, T Pajdla
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
3192008
Avoiding confusing features in place recognition
J Knopp, J Sivic, T Pajdla
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
2982010
Epipolar geometry for central catadioptric cameras
T Svoboda, T Pajdla
International Journal of Computer Vision 49 (1), 23-37, 2002
2982002
Springer International Publishing: Cham
D Fleet, T Pajdla, B Schiele, T Tuytelaars
Switzerland 8693, 740-755, 2014
2732014
Epipolar geometry for panoramic cameras
T Svoboda, T Pajdla, V Hlaváč
Computer Vision—ECCV'98: 5th European Conference on Computer Vision …, 1998
2571998
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
2432006
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
2332017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20