متابعة
Svetlana Lazebnik
Svetlana Lazebnik
University of Illinois at Urbana-Champaign
بريد إلكتروني تم التحقق منه على illinois.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
108622006
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
31652012
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
26632007
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
23532015
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
15412018
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
15152005
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
12922014
Learning deep structure-preserving image-text embeddings‏
L Wang, Y Li, S Lazebnik‏
Proceedings of the IEEE conference on computer vision and pattern …, 2016‏
9702016
Superparsing: scalable nonparametric image parsing with superpixels‏
J Tighe, S Lazebnik‏
International Journal of Computer Vision 101, 329-349, 2013‏
8872013
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
8262018
Locality-sensitive binary codes from shift-invariant kernels‏
M Raginsky, S Lazebnik‏
NIPS 22, 1509-1517, 2009‏
8122009
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
7772010
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
7222014
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
5942018
Active object localization with deep reinforcement learning‏
JC Caicedo, S Lazebnik‏
Proceedings of the IEEE international conference on computer vision, 2488-2496, 2015‏
5852015
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
5842006
Where to buy it: Matching street clothing photos in online shops‏
M Hadi Kiapour, X Han, S Lazebnik, AC Berg, TL Berg‏
Proceedings of the IEEE international conference on computer vision, 3343-3351, 2015‏
5722015
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
5542011
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
4072008
A Sparse Texture Representation Using Affine-Invariant Regions‏
S Lazebnik, C Schmid, J Ponce‏
International Conference on Computer Vision & Pattern Recognition (CVPR'03 …, 2003‏
3882003
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20