Pascal Fua

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Vincent LepetitEcole des Ponts ParisTechDirección de correo verificada de enpc.fr
Mathieu SalzmannEPFLDirección de correo verificada de epfl.ch
François FleuretUniversity of GenevaDirección de correo verificada de fleuret.org
Christoph StrechaPix4D SADirección de correo verificada de pix4d.com
Kevin SmithAssociate Professor, KTH Royal Institute of Technology & Science for Life LaboratoryDirección de correo verificada de kth.se
Helge RhodinProfessor at Bielefeld UniversityDirección de correo verificada de uni-bielefeld.de
Sabine SüsstrunkProfessor, Images and Visual Representation Lab, EPFLDirección de correo verificada de epfl.ch
Francesc Moreno-NoguerAmazon ScienceDirección de correo verificada de iri.upc.edu
Daniel ThalmannProfessor, EPFL, Switzerland & Miralab Sarl, SwitzerlandDirección de correo verificada de epfl.ch
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Dirección de correo verificada de cs.toronto.edu
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMDirección de correo verificada de in.tum.de
Raphael SznitmanARTORG Center, University of BernDirección de correo verificada de unibe.ch
David J FleetGoogle DeepMind; University of Toronto; Vector InstituteDirección de correo verificada de cs.toronto.edu
Olivier FaugerasEmeritus Researcher, Inria. Editor in Chief, Mathematical Neuroscience andDirección de correo verificada de inria.fr
Dimitris SamarasStony Brook UniversityDirección de correo verificada de cs.stonybrook.edu

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Pascal Fua

Professor Computer Science, EPFL

Dirección de correo verificada de epfl.ch - Página principal

Computer Vision Augmented Reality Biomedical Imaging Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	10869	2012
Brief: Binary robust independent elementary features M Calonder, V Lepetit, C Strecha, P Fua European Conference on Computer Vision (ECCV), 778-792, 2010	5637	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	3704	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	1931	2010
Slic superpixels R Achanta, A Shaji, K Smith, A Lucchi, P Fua, S Süsstrunk	1563	2010
LIFT: Learned Invariant Feature Transform KM Yi, E Trulls, V Lepetit, P Fua European Conference on Computer Vision (ECCV), 2016	1523	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	1328	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	1195	2017
Keypoint recognition using randomized trees V Lepetit, P Fua Pattern Analysis and Machine Intelligence (PAMI) 28 (9), 1465-1479, 2006	1097	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	1089	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	1056	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	1050	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	1046	2012
Real-Time Seamless Single Shot 6D Object Pose Prediction B Tekin, SN Sinha, P Fua Conference on Computer Vision and Pattern Recognition (CVPR), 2018	1022	2018
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	989	2015
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	976	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	785	2012
Context-Aware Crowd Counting W Liu, M Salzmann, P Fua Conference on Computer Vision and Pattern Recognition (CVPR), 2019	749	2019
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	744	2005
LDAHash: Improved matching with smaller descriptors C Strecha, A Bronstein, M Bronstein, P Fua Pattern Analysis and Machine Intelligence (PAMI) 34 (1), 2012	724	2012

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