Year |
Citation |
Score |
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 |
0.36 |
|
2016 |
Kiapour MH, Han X, Lazebnik S, Berg AC, Berg TL. Where to buy it: Matching street clothing photos in online shops Proceedings of the Ieee International Conference On Computer Vision. 11: 3343-3351. DOI: 10.1109/ICCV.2015.382 |
0.92 |
|
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: 10.1109/ICCV.2015.303 |
0.92 |
|
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 |
0.92 |
|
2016 |
Mallya A, Lazebnik S. Learning informative edge maps for indoor scene layout prediction Proceedings of the Ieee International Conference On Computer Vision. 11: 936-944. DOI: 10.1109/ICCV.2015.113 |
0.92 |
|
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. |
0.92 |
|
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. |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
2013 |
Raginsky M, Silva JG, Lazebnik S, Willett R. A recursive procedure for density estimation on the binary hypercube Electronic Journal of Statistics. 7: 820-858. DOI: 10.1214/13-EJS787 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
2012 |
Fitzgibbon A, Lazebnik S, Perona P, Sato Y, Schmid C. Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7573. |
0.44 |
|
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. |
0.92 |
|
2012 |
Fitzgibbon A, Lazebnik S, Perona P, Sato Y, Schmid C. Computer Vision – ECCV 2012: 12th European Conference on Computer Vision Florence, Italy, October 7-13, 2012 Proceedings, Part II Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7573. |
0.44 |
|
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 |
0.92 |
|
2011 |
Tighe J, Lazebnik S. Understanding scenes on many levels Proceedings of the Ieee International Conference On Computer Vision. 335-342. DOI: 10.1109/ICCV.2011.6126260 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
2010 |
Frahm JM, Pollefeys M, Lazebnik S, Clipp B, Gallup D, Raguram R, Wu C. Fast robust reconstruction of large-scale environments 2010 44th Annual Conference On Information Sciences and Systems, Ciss 2010. DOI: 10.1109/CISS.2010.5464819 |
0.92 |
|
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 |
0.92 |
|
2010 |
Frahm JM, Fite-Georgel P, Gallup D, Johnson T, Raguram R, Wu C, Jen YH, Dunn E, Clipp B, Lazebnik S, Pollefeys M. Building Rome on a cloudless day Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6314: 368-381. DOI: 10.1007/978-3-642-15561-1_27 |
0.92 |
|
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: 10.1007/978-3-642-15555-0_26 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
2009 |
Lazebnik S, Schmid C, Ponce J. Spatial pyramid matching Object Categorization: Computer and Human Vision Perspectives. 401-415. DOI: 10.1017/CBO9780511635465.022 |
0.92 |
|
2009 |
Raginsky M, Lazebnik S. Locality-sensitive binary codes from shift-invariant kernels Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1509-1517. |
0.92 |
|
2009 |
Raginsky M, Lazebnik S, Willett R, Silva J. Near-minimax recursive density estimation on the binary hypercube Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1305-1312. |
0.92 |
|
2008 |
Davis BC, Lazebnik S. Analysis of human attractiveness using manifold kernel regression Proceedings - International Conference On Image Processing, Icip. 109-112. DOI: 10.1109/ICIP.2008.4711703 |
0.92 |
|
2008 |
Raguram R, Lazebnik S. Computing iconic summaries of general visual concepts 2008 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops. DOI: 10.1109/CVPRW.2008.4562959 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
2006 |
Lazebnik S, Schmid C, Ponce J. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 2169-2178. DOI: 10.1109/CVPR.2006.68 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
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 |
0.92 |
|
2005 |
Raginsky M, Lazebnik S. Estimation of intrinsic dimensionality using high-rate vector quantization Advances in Neural Information Processing Systems. 1105-1112. |
0.92 |
|
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. |
0.92 |
|
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. |
0.92 |
|
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. |
0.92 |
|
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. |
0.92 |
|
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. |
0.92 |
|
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