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Svetlana Lazebnik - Publications

Affiliations: 
Computer Science University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Computer Science
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43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Plummer BA, Shih K, Li Y, Xu K, Lazebnik S, Sclaroff S, Saenko K. Revisiting Image-Language Networks for Open-ended Phrase Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33021939 DOI: 10.1109/TPAMI.2020.3029008  0.385
2020 Hung ZS, Mallya A, Lazebnik S. Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32365020 DOI: 10.1109/Tpami.2020.2992222  0.482
2018 Wang L, Li Y, Huang J, Lazebnik S. Learning Two-Branch Neural Networks for Image-Text Matching Tasks. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 29994350 DOI: 10.1109/Tpami.2018.2797921  0.452
2018 Tommasi T, Mallya A, Plummer B, Lazebnik S, Berg AC, Berg TL. Combining Multiple Cues for Visual Madlibs Question Answering International Journal of Computer Vision. 127: 38-60. DOI: 10.1007/S11263-018-1096-0  0.456
2016 Caicedo JC, Lazebnik S. Active object localization with deep reinforcement learning Proceedings of the Ieee International Conference On Computer Vision. 11: 2488-2496. DOI: 10.1109/ICCV.2015.286  0.357
2016 Plummer BA, Wang L, Cervantes CM, Caicedo JC, Hockenmaier J, Lazebnik S. Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models Proceedings of the Ieee International Conference On Computer Vision. 11: 2641-2649. DOI: 10.1007/S11263-016-0965-7  0.54
2016 Wang L, Li Y, Lazebnik S. Learning deep structure-preserving image-text embeddings Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2016: 5005-5013.  0.461
2016 Lu Y, Javidi T, Lazebnik S. Adaptive object detection using adjacency and zoom prediction Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2016: 2351-2359.  0.384
2015 Tighe J, Niethammer M, Lazebnik S. Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors International Journal of Computer Vision. 112: 150-171. DOI: 10.1007/S11263-014-0778-5  0.716
2014 Gordo A, Perronnin F, Gong Y, Lazebnik S. Asymmetric distances for binary embeddings. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 33-47. PMID 24231864 DOI: 10.1109/Tpami.2013.101  0.603
2014 Tighe J, Niethammer M, Lazebnik S. Scene parsing with object instances and occlusion ordering Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3748-3755. DOI: 10.1109/CVPR.2014.479  0.521
2014 Gong Y, Ke Q, Isard M, Lazebnik S. A multi-view embedding space for modeling internet images, tags, and their semantics International Journal of Computer Vision. 106: 210-233. DOI: 10.1007/S11263-013-0658-4  0.672
2014 Gong Y, Wang L, Hodosh M, Hockenmaier J, Lazebnik S. Improving image-sentence embeddings using large weakly annotated photo collections Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8692: 529-545. DOI: 10.1007/978-3-319-10593-2_35  0.628
2014 Gong Y, Wang L, Guo R, Lazebnik S. Multi-scale orderless pooling of deep convolutional activation features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8695: 392-407. DOI: 10.1007/978-3-319-10584-0_26  0.559
2013 Gong Y, Lazebnik S, Gordo A, Perronnin F. Iterative quantization: a Procrustean approach to learning binary codes for large-scale image retrieval. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2916-29. PMID 24136430 DOI: 10.1109/Tpami.2012.193  0.594
2013 Gong Y, Kumar S, Rowley HA, Lazebnik S. Learning binary codes for high-dimensional data using bilinear projections Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 484-491. DOI: 10.1109/CVPR.2013.69  0.414
2013 Tighe J, Lazebnik S. Finding things: Image parsing with regions and per-exemplar detectors Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3001-3008. DOI: 10.1109/CVPR.2013.386  0.561
2012 Gong Y, Lazebnik S, Gordo A, Perronnin F. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Retrieval. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 22962074  0.56
2012 Gong Y, Kumar S, Verma V, Lazebnik S. Angular quantization-based binary codes for fast similarity search Advances in Neural Information Processing Systems. 2: 1196-1204.  0.342
2011 Pandey M, Lazebnik S. Scene recognition and weakly supervised object localization with deformable part-based models Proceedings of the Ieee International Conference On Computer Vision. 1307-1314. DOI: 10.1109/ICCV.2011.6126383  0.488
2011 Gong Y, Lazebnik S. Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2633-2640. DOI: 10.1109/CVPR.2011.5995619  0.549
2011 Raguram R, Wu C, Frahm JM, Lazebnik S. Modeling and recognition of landmark image collections using iconic scene graphs International Journal of Computer Vision. 95: 213-239. DOI: 10.1007/S11263-011-0445-Z  0.502
2010 Frahm JM, Pollefeys M, Lazebnik S, Gallup D, Clipp B, Raguram R, Wu C, Zach C, Johnson T. Fast robust large-scale mapping from video and internet photo collections Isprs Journal of Photogrammetry and Remote Sensing. 65: 538-549. DOI: 10.1016/J.Isprsjprs.2010.08.009  0.471
2010 Tighe J, Lazebnik S. SuperParsing: Scalable nonparametric image parsing with superpixels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6315: 352-365. DOI: 10.1007/S11263-012-0574-Z  0.721
2009 Lazebnik S, Raginsky M. Supervised learning of quantizer codebooks by information loss minimization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 1294-309. PMID 19443926 DOI: 10.1109/Tpami.2008.138  0.492
2009 Lazebnik S, Raginsky M. An empirical bayes approach to contextual region classification 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 2380-2387. DOI: 10.1109/CVPRW.2009.5206690  0.455
2009 Lazebnik S, Schmid C, Ponce J. Spatial pyramid matching Object Categorization: Computer and Human Vision Perspectives. 401-415. DOI: 10.1017/CBO9780511635465.022  0.444
2007 Rothganger F, Lazebnik S, Schmid C, Ponce J. Segmenting, modeling, and matching video clips containing multiple moving objects. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 477-91. PMID 17224617 DOI: 10.1109/Tpami.2007.57  0.717
2007 Zhang J, Marszałek M, Lazebnik S, Schmid C. Local features and kernels for classification of texture and object categories: A comprehensive study International Journal of Computer Vision. 73: 213-238. DOI: 10.1007/s11263-006-9794-4  0.533
2007 Lazebnik S, Furukawa Y, Ponce J. Projective visual Hulls International Journal of Computer Vision. 74: 137-165. DOI: 10.1007/S11263-006-0008-X  0.395
2006 Rothganger F, Lazebnik S, Schmid C, Ponce J. 3D object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints International Journal of Computer Vision. 66: 231-259. DOI: 10.1007/S11263-005-3674-1  0.573
2006 Rothganger F, Lazebnik S, Schmid C, Ponce J. 3D Object Modeling and Recognition from Photographs and Image Sequences Lecture Notes in Computer Science. 4170: 105-126. DOI: 10.1007/11957959_6  0.587
2006 Lazebnik S, Schmid C, Ponce J. A discriminative framework for texture and object recognition using local image features Lecture Notes in Computer Science. 4170: 423-442. DOI: 10.1007/11957959_22  0.572
2006 Ponce J, Berg TL, Everingham M, Forsyth DA, Hebert M, Lazebnik S, Marszalek M, Schmid C, Russell BC, Torralba A, Williams CKI, Zhang J, Zisserman A. Dataset issues in object recognition Lecture Notes in Computer Science. 4170: 29-48. DOI: 10.1007/11957959_2  0.499
2005 Lazebnik S, Schmid C, Ponce J. A sparse texture representation using local affine regions. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 1265-78. PMID 16119265 DOI: 10.1109/Tpami.2005.151  0.734
2005 Schmid C, Dorkó G, Lazebnik S, Mikolajczyk K, Ponce J. Pattern recognition with local invariant features Handbook of Pattern Recognition and Computer Vision, 3rd Edition. 71-92. DOI: 10.1142/9789812775320_0005  0.387
2005 Lazebnik S, Schmid C, Ponce J. A maximum entropy framework for part-based texture and object recognition Proceedings of the Ieee International Conference On Computer Vision. 832-838. DOI: 10.1109/ICCV.2005.10  0.439
2005 Lazebnik S, Ponce J. The local projective shape of smooth surfaces and their outlines International Journal of Computer Vision. 63: 65-83. DOI: 10.1007/S11263-005-4947-4  0.365
2003 Lazebnik S, Schmid C, Ponce J. Affine-invariant local descriptors and neighborhood statistics for texture recognition Proceedings of the Ieee International Conference On Computer Vision. 1: 649-655.  0.477
2003 Lazebnik S, Schmid C, Ponce J. A sparse texture representation using affine-invariant regions Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2.  0.472
2003 Rothganger F, Lazebnik S, Schmid C, Ponce J. 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2.  0.497
2002 Lazebnik S, Sethi A, Schmid C, Kriegman D, Ponce J, Hebert M. On pencils of tangent planes and the recognition of smooth 3D shapes from silhouettes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2352: 651-665.  0.406
2001 Lazebnik S, Boyer E, Ponce J. On computing exact visual hulls of solids bounded by smooth surfaces Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1.  0.357
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