Pietro Perona

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Piotr DollárFAIRVerified email at fb.com
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Tsung-Yi LinResearch Scientist, NVIDIAVerified email at nvidia.com
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
James HaysGeorgia TechVerified email at gatech.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Peter WelinderOpenAIVerified email at openai.com
C. Lawrence ZitnickFAIR (Meta)Verified email at fb.com
Steve BransonCaltechVerified email at caltech.edu
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
Christof KochChief Scientist, MindScope Program, Allen InstituteVerified email at alleninstitute.org
Grant Van HornUMass, AmherstVerified email at umass.edu
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Michael C. BurlPrincipal Member of Technical Staff, Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
Oisin Mac AodhaLecturer (Assistant Professor), University of EdinburghVerified email at ed.ac.uk
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Mario E. MunichEmbodied IncVerified email at ieee.org
Catherine WahGoogleVerified email at google.com
Lihi Zelnik-ManorTechnion - Israel Institute of TechnologyVerified email at ee.technion.ac.il

Pietro Perona

California Institute of Technology

Verified email at caltech.edu - Homepage

Computer Vision Machine Learning Applied Mathematics Neuroscience Psychology


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Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	48423	2014
Scale-space and edge detection using anisotropic diffusion P Perona, J Malik IEEE Transactions on pattern analysis and machine intelligence 12 (7), 629-639, 1990	17483	1990
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories L Fei-Fei, R Fergus, P Perona 2004 conference on computer vision and pattern recognition workshop, 178-178, 2004	5504	2004
A bayesian hierarchical model for learning natural scene categories L Fei-Fei, P Perona 2005 IEEE computer society conference on computer vision and pattern …, 2005	5070	2005
Graph-based visual saliency J Harel, C Koch, P Perona Advances in neural information processing systems 19, 2006	4730	2006
The caltech-ucsd birds-200-2011 dataset C Wah, S Branson, P Welinder, P Perona, S Belongie California Institute of Technology, 2011	4271	2011
Pedestrian detection: An evaluation of the state of the art P Dollar, C Wojek, B Schiele, P Perona IEEE transactions on pattern analysis and machine intelligence 34 (4), 743-761, 2011	4057	2011
Object class recognition by unsupervised scale-invariant learning R Fergus, P Perona, A Zisserman 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	3066	2003
One-shot learning of object categories L Fei-Fei, R Fergus, P Perona IEEE transactions on pattern analysis and machine intelligence 28 (4), 594-611, 2006	3063	2006
Caltech-256 object category dataset G Griffin, A Holub, P Perona Technical Report 7694, California Institute of Technology, 2007	2909	2007
Self-tuning spectral clustering L Zelnik-Manor, P Perona Advances in neural information processing systems 17, 2004	2876	2004
Fast feature pyramids for object detection P Dollár, R Appel, S Belongie, P Perona IEEE transactions on pattern analysis and machine intelligence 36 (8), 1532-1545, 2014	2421	2014
Pedestrian detection: A benchmark P Dollár, C Wojek, B Schiele, P Perona 2009 IEEE conference on computer vision and pattern recognition, 304-311, 2009	1868	2009
Caltech-UCSD birds 200 P Welinder, S Branson, T Mita, C Wah, F Schroff, S Belongie, P Perona Technical Report CNS-TR-2010-001, California Institute of Technology 2 (5), 11, 2010	1711	2010
Integral channel features. P Dollár, Z Tu, P Perona, SJ Belongie Bmvc 2 (3), 5, 2009	1679	2009
Fleet D Pajdla T Schiele B Tuytelaars T et al TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Microsoft COCO: common objects in context Computer Vision–ECCV 2014, 2014	1443	2014
Preattentive texture discrimination with early vision mechanisms J Malik, P Perona JOSA A 7 (5), 923-932, 1990	1379	1990
The multidimensional wisdom of crowds P Welinder, S Branson, SJ Belongie, P Perona Advances in Neural Information Processing Systems (NIPS), 2424-2432, 2010	1177	2010
The inaturalist species classification and detection dataset SB Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex ... IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, 8769-8778, 2018	1123*	2018
Microsoft coco: Common objects in context [C] TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... European conference on computer vision, 740-755, 2014	1020	2014

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