Brief: Binary robust independent elementary features M Calonder, V Lepetit, C Strecha, P Fua Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 5497 | 2010 |
EPnP: An Accurate O(n) Solution to the PnP Problem V Lepetit, F Moreno-Noguer, P Fua International journal of computer vision 81, 155-166, 2009 | 3516 | 2009 |
Daisy: An efficient dense descriptor applied to wide-baseline stereo E Tola, V Lepetit, P Fua IEEE transactions on pattern analysis and machine intelligence 32 (5), 815-830, 2009 | 1910 | 2009 |
Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes S Hinterstoisser, V Lepetit, S Ilic, S Holzer, G Bradski, K Konolige, ... Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 1505 | 2013 |
Lift: Learned invariant feature transform KM Yi, E Trulls, V Lepetit, P Fua Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1462 | 2016 |
Keypoint recognition using randomized trees V Lepetit, P Fua IEEE transactions on pattern analysis and machine intelligence 28 (9), 1465-1479, 2006 | 1090 | 2006 |
Monocular model-based 3d tracking of rigid objects: A survey V Lepetit, P Fua Foundations and Trends® in Computer Graphics and Vision 1 (1), 1-89, 2005 | 1044 | 2005 |
BRIEF: Computing a local binary descriptor very fast M Calonder, V Lepetit, M Ozuysal, T Trzcinski, C Strecha, P Fua IEEE transactions on pattern analysis and machine intelligence 34 (7), 1281-1298, 2011 | 1028 | 2011 |
Fast keypoint recognition using random ferns M Ozuysal, M Calonder, V Lepetit, P Fua IEEE transactions on pattern analysis and machine intelligence 32 (3), 448-461, 2009 | 969 | 2009 |
Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth M Rad, V Lepetit Proceedings of the IEEE international conference on computer vision, 3828-3836, 2017 | 901 | 2017 |
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes S Hinterstoisser, S Holzer, C Cagniart, S Ilic, K Konolige, N Navab, ... 2011 international conference on computer vision, 858-865, 2011 | 783 | 2011 |
Gradient response maps for real-time detection of textureless objects S Hinterstoisser, C Cagniart, S Ilic, P Sturm, N Navab, P Fua, V Lepetit IEEE transactions on pattern analysis and machine intelligence 34 (5), 876-888, 2011 | 757 | 2011 |
A fast local descriptor for dense matching E Tola, V Lepetit, P Fua 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 721 | 2008 |
Fast keypoint recognition in ten lines of code M Ozuysal, P Fua, V Lepetit 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 687 | 2007 |
Randomized trees for real-time keypoint recognition V Lepetit, P Lagger, P Fua 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 684 | 2005 |
Learning to find good correspondences KM Yi, E Trulls, Y Ono, V Lepetit, M Salzmann, P Fua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 592 | 2018 |
Stable real-time 3d tracking using online and offline information L Vacchetti, V Lepetit, P Fua IEEE transactions on pattern analysis and machine intelligence 26 (10), 1385 …, 2004 | 559 | 2004 |
Learning descriptors for object recognition and 3d pose estimation P Wohlhart, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 544 | 2015 |
Hands deep in deep learning for hand pose estimation M Oberweger, P Wohlhart, V Lepetit arXiv preprint arXiv:1502.06807, 2015 | 469 | 2015 |
Combining edge and texture information for real-time accurate 3d camera tracking L Vacchetti, V Lepetit, P Fua Third IEEE and ACM international symposium on mixed and augmented reality, 48-56, 2004 | 459 | 2004 |