| SLIC Superpixels Compared to State-of-the-art Superpixel Methods R Achanta, A Shaji, K Smith, A Lucchi, P Fua, S Süsstrunk Pattern Analysis and Machine Intelligence (PAMI) 34 (11), 2274-2281, 2012 | 9374* | 2012 |
| Brief: Binary robust independent elementary features M Calonder, V Lepetit, C Strecha, P Fua European Conference on Computer Vision (ECCV), 778-792, 2010 | 4530 | 2010 |
| Epnp: An accurate o (n) solution to the pnp problem V Lepetit, F Moreno-Noguer, P Fua International Journal of Computer Vision (IJCV) 81 (2), 155-166, 2009 | 2505 | 2009 |
| Daisy: An efficient dense descriptor applied to wide-baseline stereo E Tola, V Lepetit, P Fua Pattern Analysis and Machine Intelligence (PAMI) 32 (5), 815-830, 2010 | 1738 | 2010 |
| Multiple object tracking using k-shortest paths optimization J Berclaz, F Fleuret, E Turetken, P Fua Pattern Analysis and Machine Intelligence (PAMI) 33 (9), 1806-1819, 2011 | 1166 | 2011 |
| Keypoint recognition using randomized trees V Lepetit, P Fua Pattern Analysis and Machine Intelligence (PAMI) 28 (9), 1465-1479, 2006 | 1037 | 2006 |
| Multicamera people tracking with a probabilistic occupancy map F Fleuret, J Berclaz, R Lengagne, P Fua Pattern Analysis and Machine Intelligence (PAMI) 30 (2), 267-282, 2008 | 971 | 2008 |
| 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 | 966* | 2005 |
| On benchmarking camera calibration and multi-view stereo for high resolution imagery C Strecha, W Von Hansen, L Van Gool, P Fua, U Thoennessen Computer Vision and Pattern Recognition (CVPR), 1-8, 2008 | 935 | 2008 |
| Fast keypoint recognition using random ferns M Ozuysal, M Calonder, V Lepetit, P Fua Pattern Analysis and Machine Intelligence (PAMI) 32 (3), 448-461, 2010 | 926 | 2010 |
| BRIEF: Computing a local binary descriptor very fast M Calonder, V Lepetit, M Ozuysal, T Trzcinski, C Strecha, P Fua Pattern Analysis and Machine Intelligence (PAMI) 34 (7), 1281-1298, 2012 | 897 | 2012 |
| LIFT: Learned Invariant Feature Transform KM Yi, E Trulls, V Lepetit, P Fua European Conference on Computer Vision (ECCV), 2016 | 889 | 2016 |
| Discriminative learning of deep convolutional feature point descriptors E Simo-Serra, E Trulls, L Ferraz, I Kokkinos, P Fua, F Moreno-Noguer International Conference on Computer Vision (ICCV), 118-126, 2015 | 783 | 2015 |
| Randomized trees for real-time keypoint recognition V Lepetit, P Lagger, P Fua Computer Vision and Pattern Recognition (CVPR) 2, 775-781 vol. 2, 2005 | 711 | 2005 |
| A fast local descriptor for dense matching E Tola, V Lepetit, P Fua Computer Vision and Pattern Recognition (CVPR), 1-8, 2008 | 686 | 2008 |
| LDAHash: Improved matching with smaller descriptors C Strecha, A Bronstein, M Bronstein, P Fua Pattern Analysis and Machine Intelligence (PAMI) 34 (1), 2012 | 680 | 2012 |
| A parallel stereo algorithm that produces dense depth maps and preserves image features P Fua Machine Vision and Applications (MVA) 6 (1), 35-49, 1993 | 658 | 1993 |
| Fast keypoint recognition in ten lines of code M Ozuysal, P Fua, V Lepetit Computer Vision and Pattern Recognition (CVPR), 1-8, 2007 | 656 | 2007 |
| Real-time correlation-based stereo: algorithm, implementations and applications O Faugeras, T Viéville, E Theron, J Vuillemin, B Hotz, Z Zhang, L Moll, ... INRIA Technical Report #2013, 1993 | 640 | 1993 |
| Real-Time Seamless Single Shot 6D Object Pose Prediction B Tekin, SN Sinha, P Fua Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 591 | 2018 |
Vincent LepetitEcole des Ponts ParisTech, TU GrazVerified email at enpc.fr
