Marcello Pelillo

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	전체	2020년 이후
서지정보	13855	6460
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Samuel Rota BulòResearch Scientist, Metafb.com의 이메일 확인됨
Sebastiano VasconCa' Foscari University of Veniceunive.it의 이메일 확인됨
Andrea TORSELLOProfessor of Computer Science, Università Ca' Foscari Veneziaunive.it의 이메일 확인됨
Gui-Song XiaProfessor of Computer Science, Wuhan University, Chinawhu.edu.cn의 이메일 확인됨
zhang liangpeiProfessor, Wuhan Universitywhu.edu.cn의 이메일 확인됨
Eyasu Zemene MequanintStaff Computer Vision Scientist, Qualcomm AI Researchqti.qualcomm.com의 이메일 확인됨
Kaleem SiddiqiProfessor of Computer Science, McGill Universitycim.mcgill.ca의 이메일 확인됨
Jiebo Luo, Fellow of ACM/AAAI/IEEE/...Albert Arendt Hopeman Professor of Engineering, University of Rochestercs.rochester.edu의 이메일 확인됨
Jian DingPostdoc researcher, KAUSTwhu.edu.cn의 이메일 확인됨
Fabio RoliProfessor, University of Genova and Cagliari, Italyunige.it의 이메일 확인됨
Panos PardalosUniversity of Floridaufl.edu의 이메일 확인됨
Xiang BaiHuazhong University of Science and Technology (HUST)hust.edu.cn의 이메일 확인됨
Mihai DatcuGerman Aerospace Center DLR and Faculty of Electronics, Telecommunications and Informationdlr.de의 이메일 확인됨
Battista BiggioFull Professor, University of Cagliari, Italyunica.it의 이메일 확인됨
Edwin HancockEmeritus Professor, Department of Computer Science, University of York, UKcs.york.ac.uk의 이메일 확인됨
Anna Maria FanelliDepartment of Computer Science, University of Bari, Italyuniba.it의 이메일 확인됨
Marco BudinichUniversity of Triestets.infn.it의 이메일 확인됨
Alessandro TorcinovichResearcher, Free University of Bozen-Bolzano, ETHinf.ethz.ch의 이메일 확인됨
Steven W ZuckerYale Universityyale.edu의 이메일 확인됨
Horst BischofGraz University of Technologyicg.tugraz.at의 이메일 확인됨

팔로우

Marcello Pelillo

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

dsi.unive.it의 이메일 확인됨 - 홈페이지

Computer Vision Machine Learning Pattern Recognition


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
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 Conference on Computer Vision and Pattern Recognition, 2018	2941	2018
The maximum clique problem IM Bomze, M Budinich, PM Pardalos, M Pelillo Handbook of combinatorial optimization, 1-74, 1999	1308	1999
Dominant sets and pairwise clustering M Pavan, M Pelillo IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (1), 167-172, 2007	632	2007
Matching hierarchical structures using association graphs M Pelillo, K Siddiqi, SW Zucker IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (11), 1105 …, 1999	534	1999
An iterative pruning algorithm for feedforward neural networks G Castellano, AM Fanelli, M Pelillo IEEE Transactions on Neural Networks 8 (3), 519-531, 1997	453	1997
Object detection in aerial images: A large-scale benchmark and challenges J Ding, N Xue, GS Xia, X Bai, W Yang, MY Yang, S Belongie, J Luo, ... IEEE transactions on pattern analysis and machine intelligence 44 (11), 7778 …, 2021	449	2021
Structured class-labels in random forests for semantic image labelling P Kontschieder, S Rota Bulò, H Bischof, M Pelillo ICCV 2011 -- IEEE International Conference on Computer Vision, 2190-2197, 2011	294	2011
A new graph-theoretic approach to clustering and segmentation M Pavan, M Pelillo CVPR 2003 -- IEEE Conference on Computer Vision and Pattern Recognition 1, I …, 2003	272	2003
A game-theoretic approach to hypergraph clustering. SR Bulo, M Pelillo NIPS -- Advances in Neural Information Processing Systems 22, 1571-1579, 2009	242	2009
Dominant set clustering and pooling for multi-view 3d object recognition C Wang, M Pelillo, K Siddiqi BMVC 2019 -- British Machine Vision Conference, 2019	237	2019
Replicator equations, maximal cliques, and graph isomorphism M Pelillo Neural Computation 11 (8), 1933-1955, 1999	234	1999
The maximum clique problem. Handbook of Combinatorial Optimization IM Bomze, M Budinich, PM Pardalos, M Pelillo Supplement A 174, 1999	207	1999
Asymmetric siamese networks for semantic change detection in aerial images K Yang, GS Xia, Z Liu, B Du, W Yang, M Pelillo, L Zhang IEEE Transactions on Geoscience and Remote Sensing, 2021	192	2021
Is data clustering in adversarial settings secure? B Biggio, I Pillai, S Rota Bulò, D Ariu, M Pelillo, F Roli Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013	158	2013
The dynamics of nonlinear relaxation labeling processes M Pelillo Journal of Mathematical Imaging and Vision 7 (4), 309-323, 1997	146	1997
Wild patterns reloaded: A survey of machine learning security against training data poisoning AE Cinà, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ... ACM Computing Surveys 55 (13s), 1-39, 2023	137	2023
Approximating the maximum weight clique using replicator dynamics IM Bomze, M Pelillo, V Stix IEEE Transactions on Neural Networks 11 (6), 1228-1241, 2000	134	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	127	1994
Matching as a non-cooperative game A Albarelli, SR Bulo, A Torsello, M Pelillo ICCV 2009 -- IEEE International Conference on Computer vision, 1319-1326, 2009	111	2009
Dominant sets and hierarchical clustering M Pavan, M Pelillo ICCV 2003 -- IEEE International Conference on Computer Vision, 2003	107	2003

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