Pietro Perona

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

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	39300	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	17104	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	5005	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	4976	2005
Graph-based visual saliency J Harel, C Koch, P Perona Advances in neural information processing systems 19, 2006	4628	2006
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	3888	2011
The caltech-ucsd birds-200-2011 dataset C Wah, S Branson, P Welinder, P Perona, S Belongie California Institute of Technology, 2011	3527	2011
The caltech-ucsd birds-200-2011 dataset C Wah, S Branson, P Welinder, P Perona, S Belongie California Institute of Technology, 2011	3527	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	3037	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	2798	2006
Caltech-256 object category dataset G Griffin, A Holub, P Perona California Institute of Technology, 2007	2767	2007
Self-tuning spectral clustering L Zelnik-Manor, P Perona Advances in neural information processing systems 17, 2004	2742	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	2324	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	1717	2009
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1649	2009
Caltech-UCSD birds 200 P Welinder, S Branson, T Mita, C Wah, F Schroff, S Belongie, P Perona California Institute of Technology, 2010	1507	2010
Preattentive texture discrimination with early vision mechanisms J Malik, P Perona JOSA A 7 (5), 923-932, 1990	1366	1990
The multidimensional wisdom of crowds P Welinder, S Branson, SJ Belongie, P Perona Advances in Neural Information Processing Systems (NIPS), 2424-2432, 2010	1104	2010
Learning object categories from google's image search R Fergus, L Fei-Fei, P Perona, A Zisserman Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005	959	2005
Unsupervised learning of models for recognition M Weber, M Welling, P Perona Computer Vision-ECCV 2000: 6th European Conference on Computer Vision Dublin …, 2000	958	2000

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