Marcello Pelillo - Citazioni di Google Scholar

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Samuel Rota BulòResearcher, Mapillary Research, Graz, AustriaEmail verificata su mapillary.com
Andrea TORSELLOProfessor of Computer Science, Università Ca' Foscari VeneziaEmail verificata su unive.it
Eyasu Zemene MequanintSenior Computer Vision Engineer, Qualcomm AI ResearchEmail verificata su qti.qualcomm.com
Kaleem SiddiqiProfessor of Computer Science, McGill University.Email verificata su cim.mcgill.ca
Edwin HancockEmeritus Professor, Department of Computer Science, University of York, UKEmail verificata su cs.york.ac.uk
Steven W ZuckerYale UniversityEmail verificata su yale.edu
Marco BudinichUniversity of TriesteEmail verificata su ts.infn.it
Peter KontschiederMapillary ResearchEmail verificata su mapillary.com
Panos PardalosUniversity of FloridaEmail verificata su ufl.edu
Anna Maria FanelliDepartment of Computer Science, University of Bari, ItalyEmail verificata su uniba.it
Ana L. N. FredProfessor at Instituto Superior Técnico, Researcher at Instituto de TelecomunicaçõesEmail verificata su lx.it.pt
Horst BischofGraz University of TechnologyEmail verificata su icg.tugraz.at
Mario A. T. FigueiredoInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, PortugalEmail verificata su ist.utl.pt
Andrea PratiProfessor of Computer Engineering, University of ParmaEmail verificata su unipr.it
Rocco TripodiUniversità Ca' Foscari (Venice)Email verificata su unive.it
Giovanna CastellanoAssociate Professor, University of Bari Aldo MoroEmail verificata su uniba.it
Vittorio MurinoProfessor, University of Verona - Director of PAVIS @ Italian Institute of Technology, ItalyEmail verificata su iit.it
Fabio RoliProfessor, University of Cagliari, ItalyEmail verificata su diee.unica.it
Battista BiggioAssistant Professor at University of Cagliari, Co-Founder of Pluribus OneEmail verificata su diee.unica.it
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaEmail verificata su crcv.ucf.edu

Marcello Pelillo

Professor of Computer Science, FIEEE, FIAPR, Ca' Foscari University of Venice

Email verificata su dsi.unive.it - Home page

Pattern Recognition Computer Vision Machine Learning


Titolo	Citata da	Anno
The maximum clique problem IM Bomze, M Budinich, PM Pardalos, M Pelillo Handbook of Combinatorial Optimization 4 (1), 1-74, 1999	997	1999
Matching hierarchical structures using association graphs M Pelillo, K Siddiqi, SW Zucker IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (11), 1105 …, 1999	493	1999
Dominant sets and pairwise clustering M Pavan, M Pelillo IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (1), 167-172, 2007	447	2007
An iterative pruning algorithm for feedforward neural networks G Castellano, AM Fanelli, M Pelillo IEEE Transactions on Neural Networks 8 (3), 519-531, 1997	314	1997
A new graph-theoretic approach to clustering and segmentation M Pavan, M Pelillo CVPR 2003 -- IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	229	2003
Replicator equations, maximal cliques, and graph isomorphism M Pelillo Neural Computation 11 (8), 1933-1955, 1999	196	1999
Structured class-labels in random forests for semantic image labelling P Kontschieder, S Rota Bulò, H Bischof, M Pelillo ICCV 2011 - International Conference on Computer Vision, 2190-2197, 2011	186	2011
A game-theoretic approach to hypergraph clustering S Rota Bulò, M Pelillo IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (6), 1312-1327, 2013	167*	2013
The maximum clique problem. Handbook of Combinatorial Optimization IM Bomze, M Budinich, PM Pardalos, M Pelillo Supplement A 174, 1999	158	1999
DOTA: A large-scale dataset for object detection in aerial images GS Xia, X Bai, J Ding, Z Zhu, S Belongie, J Luo, M Datcu, M Pelillo, ... CVPR 2018 -- IEEE Computer Society Conference on Computer Vision and Pattern …, 2018	150	2018
The dynamics of nonlinear relaxation labeling processes M Pelillo Journal of Mathematical Imaging and Vision 7 (4), 309-323, 1997	126	1997
Approximating the maximum weight clique using replicator dynamics IM Bomze, M Pelillo, V Stix IEEE Transactions on Neural Networks 11 (6), 1228-1241, 2000	121	2000
Learning compatibility coefficients for relaxation labeling processes M Pelillo, M Refice IEEE Transactions on Pattern Analysis and Machine Intelligence 16 (9), 933-945, 1994	114	1994
Relaxation labeling networks for the maximum clique problem M Pelillo Journal of Artificial Neural Networks 2 (4), 313-328, 1995	97	1995
Polynomial-time metrics for attributed trees A Torsello, D Hidovic-Rowe, M Pelillo IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (7), 1087-1099, 2005	90	2005
Dominant sets and hierarchical clustering M Pavan, M Pelillo ICCV 2003 -- International Conference on Computer Vision, 2003	88	2003
Matching as a non-cooperative game A Albarelli, SR Bulo, A Torsello, M Pelillo ICCV 2009 -- International Conference on Computer vision, 1319-1326, 2009	86	2009
Feasible and infeasible maxima in a quadratic program for maximum clique M Pelillo, A Jagota Journal of Artificial Neural Networks 2 (4), 411-420, 1995	82	1995
Grouping with asymmetric affinities: A game-theoretic perspective A Torsello, S Rota Bulò, M Pelillo CVPR 2006 -- IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	81	2006
Graph-based quadratic optimization: A fast evolutionary approach SR Bulò, M Pelillo, IM Bomze Computer Vision and Image Understanding 115 (7), 984-995, 2011	78	2011

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