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 | 10560 | 2012 |
Brief: Binary robust independent elementary features M Calonder, V Lepetit, C Strecha, P Fua European Conference on Computer Vision (ECCV), 778-792, 2010 | 5505 | 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 | 3529 | 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 | 1918 | 2010 |
Slic superpixels R Achanta, A Shaji, K Smith, A Lucchi, P Fua, S Süsstrunk | 1536 | 2010 |
LIFT: Learned Invariant Feature Transform KM Yi, E Trulls, V Lepetit, P Fua European Conference on Computer Vision (ECCV), 2016 | 1464 | 2016 |
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 | 1305 | 2011 |
Monocular 3d human pose estimation in the wild using improved cnn supervision D Mehta, H Rhodin, D Casas, P Fua, O Sotnychenko, W Xu, C Theobalt International Conference on 3D Vision (3DV), 2017 | 1115 | 2017 |
Keypoint recognition using randomized trees V Lepetit, P Fua Pattern Analysis and Machine Intelligence (PAMI) 28 (9), 1465-1479, 2006 | 1091 | 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 | 1065 | 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 | 1045 | 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 | 1040 | 2008 |
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 | 1028 | 2012 |
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 | 978 | 2015 |
Real-Time Seamless Single Shot 6D Object Pose Prediction B Tekin, SN Sinha, P Fua Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 969 | 2018 |
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 | 969 | 2010 |
Gradient Response Maps for Real-Time Detection of Texture-Less Objects S Hinterstoisser, C Cagniart, S Ilic, P Sturm, N Navab, P Fua, V Lepetit Pattern Analysis and Machine Intelligence (PAMI) 34 (5), 876-888, 2012 | 759 | 2012 |
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 | 740 | 2005 |
A fast local descriptor for dense matching E Tola, V Lepetit, P Fua Computer Vision and Pattern Recognition (CVPR), 1-8, 2008 | 721 | 2008 |
LDAHash: Improved matching with smaller descriptors C Strecha, A Bronstein, M Bronstein, P Fua Pattern Analysis and Machine Intelligence (PAMI) 34 (1), 2012 | 719 | 2012 |