Svetlana Lazebnik

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Cordelia SchmidResearch director INRIA Email yang diverifikasi di inria.fr
Jean PonceEcole Normale Superieure/PSL Research UniversityEmail yang diverifikasi di ens.fr
Yunchao GongVP of Engineering, VerkadaEmail yang diverifikasi di verkada.com
Arun MallyaPh.D. - University of Illinois at Urbana-Champaign, B.Tech. - IIT KharagpurEmail yang diverifikasi di nvidia.com
Liwei WangAssistant Professor at The Chinese University of Hong KongEmail yang diverifikasi di cse.cuhk.edu.hk
Joseph TigheAmazonEmail yang diverifikasi di cs.unc.edu
Alexander SchwingUniversity of Illinois at Urbana-ChampaignEmail yang diverifikasi di illinois.edu
Maxim RaginskyProfessor of Electrical and Computer Engineering, University of Illinois, Urbana-ChampaignEmail yang diverifikasi di illinois.edu
Changchang WuGoogleEmail yang diverifikasi di google.com
Albert GordoCruiseEmail yang diverifikasi di getcruise.com
Florent PerronninNaver Labs EuropeEmail yang diverifikasi di naverlabs.com
Jianguo ZhangProfessor, Southern University of Science and TechnologyEmail yang diverifikasi di sustech.edu.cn
Rahul RaguramApple Inc., University of North Carolina at Chapel Hill, University of ArizonaEmail yang diverifikasi di apple.com
Julia HockenmaierProfessor, University of Illinois at Urbana-Champaign (UIUC)Email yang diverifikasi di illinois.edu
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftEmail yang diverifikasi di inf.ethz.ch
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillEmail yang diverifikasi di cs.unc.edu
martial hebertCMUEmail yang diverifikasi di ri.cmu.edu
Pierre Fite-GeorgelPost-doc, UNC @ Chapel HillEmail yang diverifikasi di cs.unc.edu
Sanjiv KumarGoogle Fellow, VP, Google ResearchEmail yang diverifikasi di google.com

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Svetlana Lazebnik

University of Illinois at Urbana-Champaign

Email yang diverifikasi di illinois.edu - Beranda

Computer vision recognition


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories S Lazebnik, C Schmid, J Ponce 2006 IEEE computer society conference on computer vision and pattern …, 2006	10869	2006
Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval Y Gong, S Lazebnik, A Gordo, F Perronnin IEEE transactions on pattern analysis and machine intelligence 35 (12), 2916 …, 2012	3172	2012
Local features and kernels for classification of texture and object categories: A comprehensive study J Zhang, M Marszałek, S Lazebnik, C Schmid International journal of computer vision 73, 213-238, 2007	2660	2007
Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models BA Plummer, L Wang, CM Cervantes, JC Caicedo, J Hockenmaier, ... Proceedings of the IEEE international conference on computer vision, 2641-2649, 2015	2310	2015
Packnet: Adding multiple tasks to a single network by iterative pruning A Mallya, S Lazebnik Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018	1519	2018
A sparse texture representation using local affine regions S Lazebnik, C Schmid, J Ponce IEEE transactions on pattern analysis and machine intelligence 27 (8), 1265-1278, 2005	1516	2005
Multi-scale orderless pooling of deep convolutional activation features Y Gong, L Wang, R Guo, S Lazebnik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	1298	2014
Learning deep structure-preserving image-text embeddings L Wang, Y Li, S Lazebnik Proceedings of the IEEE conference on computer vision and pattern …, 2016	973	2016
Superparsing: scalable nonparametric image parsing with superpixels J Tighe, S Lazebnik International Journal of Computer Vision 101, 329-349, 2013	884	2013
Locality-sensitive binary codes from shift-invariant kernels M Raginsky, S Lazebnik NIPS 22, 1509-1517, 2009	813	2009
Piggyback: Adapting a single network to multiple tasks by learning to mask weights A Mallya, D Davis, S Lazebnik Proceedings of the European conference on computer vision (ECCV), 67-82, 2018	809	2018
Building rome on a cloudless day JM Frahm, P Fite-Georgel, D Gallup, T Johnson, R Raguram, C Wu, ... Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	781	2010
A multi-view embedding space for modeling internet images, tags, and their semantics Y Gong, Q Ke, M Isard, S Lazebnik International journal of computer vision 106, 210-233, 2014	722	2014
Learning two-branch neural networks for image-text matching tasks L Wang, Y Li, J Huang, S Lazebnik IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2), 394-407, 2018	593	2018
Active object localization with deep reinforcement learning JC Caicedo, S Lazebnik Proceedings of the IEEE international conference on computer vision, 2488-2496, 2015	583	2015
3d object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints F Rothganger, S Lazebnik, C Schmid, J Ponce International journal of computer vision 66, 231-259, 2006	583	2006
Where to buy it: Matching street clothing photos in online shops MH Kiapour, X Han, S Lazebnik, AC Berg, TL Berg Proceedings of the IEEE international conference on computer vision, 3343-3351, 2015	569	2015
Scene recognition and weakly supervised object localization with deformable part-based models M Pandey, S Lazebnik 2011 international conference on computer vision, 1307-1314, 2011	554	2011
Modeling and recognition of landmark image collections using iconic scene graphs X Li, C Wu, C Zach, S Lazebnik, JM Frahm Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	408	2008
A Sparse Texture Representation Using Affine-Invariant Regions S Lazebnik, C Schmid, J Ponce International Conference on Computer Vision & Pattern Recognition (CVPR'03 …, 2003	388	2003

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