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2020 – today
- 2024
[j19]Yasuyuki Matsushita, Svetlana Lazebnik, Jiri Matas:
In Memoriam: Xiaoou Tang. Int. J. Comput. Vis. 132(10): 4131 (2024)- [c63]Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad:
Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now. CVPR 2024: 28140-28149 - [c62]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. ECCV (1) 2024: 422-438 - 2023
- [i37]Aiyu Cui, Svetlana Lazebnik:
One-Shot Stylization for Full-Body Human Images. CoRR abs/2304.06917 (2023) - [i36]Viraj Shah, Svetlana Lazebnik, Julien Philip:
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. CoRR abs/2305.11321 (2023) - [i35]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR abs/2311.13600 (2023) - [i34]Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik:
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. CoRR abs/2311.16094 (2023) - [i33]Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad:
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now. CoRR abs/2311.17138 (2023) - 2022
- [j18]Bryan A. Plummer
, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko:
Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2155-2167 (2022) - [i32]Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik:
Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR abs/2203.05553 (2022) - [i31]Viraj Shah, Svetlana Lazebnik:
MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. CoRR abs/2210.04120 (2022) - [i30]Zitong Zhan, Daniel McKee, Svetlana Lazebnik:
Robust Online Video Instance Segmentation with Track Queries. CoRR abs/2211.09108 (2022) - 2021
- [j17]Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik:
Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3820-3832 (2021) - [c61]Aiyu Cui, Daniel McKee, Svetlana Lazebnik:
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing. CVPR Workshops 2021: 3940-3945 - [c60]Aiyu Cui, Daniel McKee, Svetlana Lazebnik:
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. ICCV 2021: 14618-14627 - [c59]Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing:
GridToPix: Training Embodied Agents with Minimal Supervision. ICCV 2021: 15121-15131 - [c58]Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang:
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. ICCV 2021: 15993-15943 - [c57]Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
Bridging the Imitation Gap by Adaptive Insubordination. NeurIPS 2021: 19134-19146 - [i29]Aiyu Cui, Daniel McKee, Svetlana Lazebnik:
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. CoRR abs/2104.07021 (2021) - [i28]Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing:
GridToPix: Training Embodied Agents with Minimal Supervision. CoRR abs/2105.00931 (2021) - [i27]Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe:
Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR abs/2108.08836 (2021) - [i26]Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang:
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. CoRR abs/2110.05769 (2021) - 2020
- [c56]Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. ECCV (5) 2020: 471-490 - [c55]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) 2020: 699-715 - [i25]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. CoRR abs/2004.00713 (2020) - [i24]Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks. CoRR abs/2007.04979 (2020) - [i23]Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
Bridging the Imitation Gap by Adaptive Insubordination. CoRR abs/2007.12173 (2020)
2010 – 2019
- 2019
- [j16]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Combining Multiple Cues for Visual Madlibs Question Answering. Int. J. Comput. Vis. 127(1): 38-60 (2019) - [j15]Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik:
Learning Two-Branch Neural Networks for Image-Text Matching Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 394-407 (2019) - [c54]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CVPR 2019: 6689-6699 - [i22]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CoRR abs/1904.05879 (2019) - [i21]Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik:
Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. CoRR abs/1905.11624 (2019) - 2018
- [c53]Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing:
Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. CVPR 2018: 5754-5763 - [c52]Arun Mallya, Svetlana Lazebnik:
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CVPR 2018: 7765-7773 - [c51]Arun Mallya, Dillon Davis, Svetlana Lazebnik:
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights. ECCV (4) 2018: 72-88 - [c50]Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik:
Conditional Image-Text Embedding Networks. ECCV (12) 2018: 258-274 - [c49]Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. NeurIPS 2018: 2659-2670 - [i20]Arun Mallya, Svetlana Lazebnik:
Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask. CoRR abs/1801.06519 (2018) - [i19]Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing:
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering. CoRR abs/1803.11186 (2018) - [i18]Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. CoRR abs/1811.00538 (2018) - [i17]Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko:
Open-vocabulary Phrase Detection. CoRR abs/1811.07212 (2018) - 2017
- [j14]Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik:
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. Int. J. Comput. Vis. 123(1): 74-93 (2017) - [c48]Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik:
Enhancing Video Summarization via Vision-Language Embedding. CVPR 2017: 1052-1060 - [c47]Arun Mallya, Svetlana Lazebnik:
Recurrent Models for Situation Recognition. ICCV 2017: 455-463 - [c46]Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik:
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. ICCV 2017: 1946-1955 - [c45]Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik:
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. NIPS 2017: 5756-5766 - [i16]Arun Mallya, Svetlana Lazebnik:
Recurrent Models for Situation Recognition. CoRR abs/1703.06233 (2017) - [i15]Liwei Wang, Yin Li, Svetlana Lazebnik:
Learning Two-Branch Neural Networks for Image-Text Matching Tasks. CoRR abs/1704.03470 (2017) - [i14]Arun Mallya, Svetlana Lazebnik:
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CoRR abs/1711.05769 (2017) - [i13]Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik:
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. CoRR abs/1711.07068 (2017) - [i12]Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik:
Conditional Image-Text Embedding Networks. CoRR abs/1711.08389 (2017) - 2016
- [c44]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving VIsual Madlibs with Multiple Cues. BMVC 2016 - [c43]Yongxi Lu, Tara Javidi, Svetlana Lazebnik:
Adaptive Object Detection Using Adjacency and Zoom Prediction. CVPR 2016: 2351-2359 - [c42]Liwei Wang, Yin Li, Svetlana Lazebnik:
Learning Deep Structure-Preserving Image-Text Embeddings. CVPR 2016: 5005-5013 - [c41]Arun Mallya, Svetlana Lazebnik:
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. ECCV (1) 2016: 414-428 - [i11]Arun Mallya, Svetlana Lazebnik:
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. CoRR abs/1604.04808 (2016) - [i10]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving Visual Madlibs with Multiple Cues. CoRR abs/1608.03410 (2016) - [i9]Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving Visual Madlibs with Multiple Cues. CoRR abs/1611.00393 (2016) - [i8]Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik:
Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. CoRR abs/1611.06641 (2016) - 2015
- [j13]Joseph Tighe, Marc Niethammer, Svetlana Lazebnik:
Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. Int. J. Comput. Vis. 112(2): 150-171 (2015) - [c40]Arun Mallya, Svetlana Lazebnik:
Learning Informative Edge Maps for Indoor Scene Layout Prediction. ICCV 2015: 936-944 - [c39]Juan C. Caicedo, Svetlana Lazebnik:
Active Object Localization with Deep Reinforcement Learning. ICCV 2015: 2488-2496 - [c38]Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik:
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. ICCV 2015: 2641-2649 - [c37]M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Where to Buy It: Matching Street Clothing Photos in Online Shops. ICCV 2015: 3343-3351 - [i7]Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik:
Training Deeper Convolutional Networks with Deep Supervision. CoRR abs/1505.02496 (2015) - [i6]Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik:
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. CoRR abs/1505.04870 (2015) - [i5]Juan C. Caicedo, Svetlana Lazebnik:
Active Object Localization with Deep Reinforcement Learning. CoRR abs/1511.06015 (2015) - [i4]Liwei Wang, Yin Li, Svetlana Lazebnik:
Learning Deep Structure-Preserving Image-Text Embeddings. CoRR abs/1511.06078 (2015) - [i3]Yongxi Lu, Tara Javidi, Svetlana Lazebnik:
Adaptive Object Detection Using Adjacency and Zoom Prediction. CoRR abs/1512.07711 (2015) - 2014
- [j12]Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik:
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics. Int. J. Comput. Vis. 106(2): 210-233 (2014) - [j11]Albert Gordo, Florent Perronnin, Yunchao Gong, Svetlana Lazebnik:
Asymmetric Distances for Binary Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 33-47 (2014) - [c36]Joseph Tighe, Marc Niethammer, Svetlana Lazebnik:
Scene Parsing with Object Instances and Occlusion Ordering. CVPR 2014: 3748-3755 - [c35]Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik:
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. ECCV (7) 2014: 392-407 - [c34]Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik:
Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. ECCV (4) 2014: 529-545 - [r2]Svetlana Lazebnik:
Generic Object Recognition. Computer Vision, A Reference Guide 2014: 325-326 - [r1]Svetlana Lazebnik:
Object Class Recognition (Categorization). Computer Vision, A Reference Guide 2014: 533-536 - [i2]Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik:
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. CoRR abs/1403.1840 (2014) - 2013
- [j10]Joseph Tighe, Svetlana Lazebnik:
Superparsing - Scalable Nonparametric Image Parsing with Superpixels. Int. J. Comput. Vis. 101(2): 329-349 (2013) - [j9]Yunchao Gong, Svetlana Lazebnik, Albert Gordo, Florent Perronnin:
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2916-2929 (2013) - [c33]Yunchao Gong, Sanjiv Kumar, Henry A. Rowley, Svetlana Lazebnik:
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections. CVPR 2013: 484-491 - [c32]Joseph Tighe, Svetlana Lazebnik:
Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. CVPR 2013: 3001-3008 - [c31]Svetlana Lazebnik, Joseph Tighe:
Towards Open-Universe Image Parsing with Broad Coverage. MVA 2013: 13-20 - 2012
- [c30]Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik:
Angular Quantization-based Binary Codes for Fast Similarity Search. NIPS 2012: 1205-1213 - [e7]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7572, Springer 2012, ISBN 978-3-642-33717-8 [contents] - [e6]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7573, Springer 2012, ISBN 978-3-642-33708-6 [contents] - [e5]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III. Lecture Notes in Computer Science 7574, Springer 2012, ISBN 978-3-642-33711-6 [contents] - [e4]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV. Lecture Notes in Computer Science 7575, Springer 2012, ISBN 978-3-642-33764-2 [contents] - [e3]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V. Lecture Notes in Computer Science 7576, Springer 2012, ISBN 978-3-642-33714-7 [contents] - [e2]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI. Lecture Notes in Computer Science 7577, Springer 2012, ISBN 978-3-642-33782-6 [contents] - [e1]Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid:
Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII. Lecture Notes in Computer Science 7578, Springer 2012, ISBN 978-3-642-33785-7 [contents] - [i1]Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik:
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics. CoRR abs/1212.4522 (2012) - 2011
- [j8]Rahul Raguram, Changchang Wu, Jan-Michael Frahm, Svetlana Lazebnik:
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. Int. J. Comput. Vis. 95(3): 213-239 (2011) - [c29]Yunchao Gong, Svetlana Lazebnik:
Iterative quantization: A procrustean approach to learning binary codes. CVPR 2011: 817-824 - [c28]Yunchao Gong, Svetlana Lazebnik:
Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images. CVPR 2011: 2633-2640 - [c27]Joseph Tighe, Svetlana Lazebnik:
Understanding scenes on many levels. ICCV 2011: 335-342 - [c26]Megha Pandey, Svetlana Lazebnik:
Scene recognition and weakly supervised object localization with deformable part-based models. ICCV 2011: 1307-1314 - 2010
- [c25]Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebnik, Brian Clipp, David Gallup, Rahul Raguram, Changchang Wu:
Fast robust reconstruction of large-scale environments. CISS 2010: 1-6 - [c24]Joseph Tighe, Svetlana Lazebnik:
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels. ECCV (5) 2010: 352-365 - [c23]Jan-Michael Frahm, Pierre Fite Georgel, David Gallup, Tim Johnson, Rahul Raguram, Changchang Wu, Yi-Hung Jen, Enrique Dunn, Brian Clipp, Svetlana Lazebnik:
Building Rome on a Cloudless Day. ECCV (4) 2010: 368-381
2000 – 2009
- 2009
- [j7]Svetlana Lazebnik, Maxim Raginsky:
Supervised Learning of Quantizer Codebooks by Information Loss Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1294-1309 (2009) - [c22]Svetlana Lazebnik, Maxim Raginsky:
An empirical Bayes approach to contextual region classification. CVPR 2009: 2380-2387 - [c21]Maxim Raginsky, Svetlana Lazebnik:
Locality-sensitive binary codes from shift-invariant kernels. NIPS 2009: 1509-1517 - 2008
- [c20]Rahul Raguram, Svetlana Lazebnik:
Computing iconic summaries of general visual concepts. CVPR Workshops 2008: 1-8 - [c19]Xiaowei Li, Changchang Wu, Christopher Zach, Svetlana Lazebnik, Jan-Michael Frahm:
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. ECCV (1) 2008: 427-440 - [c18]Bradley C. Davis, Svetlana Lazebnik:
Analysis of human attractiveness using manifold kernel regression. ICIP 2008: 109-112 - [c17]Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge G. Silva:
Near-minimax recursive density estimation on the binary hypercube. NIPS 2008: 1305-1312 - 2007
- [j6]Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid:
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. Int. J. Comput. Vis. 73(2): 213-238 (2007) - [j5]Svetlana Lazebnik, Yasutaka Furukawa, Jean Ponce:
Projective Visual Hulls. Int. J. Comput. Vis. 74(2): 137-165 (2007) - [j4]Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 477-491 (2007) - [c16]Svetlana Lazebnik, Maxim Raginsky:
Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. AISTATS 2007: 251-258 - 2006
- [b1]Svetlana Lazebnik:
Local, Semi-Local and Global Models for Texture, Object and Scene Recognition. University of Illinois Urbana-Champaign, USA, 2006 - [j3]Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. Int. J. Comput. Vis. 66(3): 231-259 (2006) - [c15]Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48 - [c14]Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
3D Object Modeling and Recognition from Photographs and Image Sequences. Toward Category-Level Object Recognition 2006: 105-126 - [c13]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Discriminative Framework for Texture and Object Recognition Using Local Image Features. Toward Category-Level Object Recognition 2006: 423-442 - [c12]Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid:
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. CVPR Workshops 2006: 13 - [c11]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. CVPR (2) 2006: 2169-2178 - 2005
- [j2]Svetlana Lazebnik, Jean Ponce:
The Local Projective Shape of Smooth Surfaces and Their Outlines. Int. J. Comput. Vis. 63(1): 65-83 (2005) - [j1]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Sparse Texture Representation Using Local Affine Regions. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1265-1278 (2005) - [c10]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Maximum Entropy Framework for Part-Based Texture and Object Recognition. ICCV 2005: 832-838 - [c9]Maxim Raginsky, Svetlana Lazebnik:
Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization. NIPS 2005: 1105-1112 - 2004
- [c8]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Semi-Local Affine Parts for Object Recognition. BMVC 2004: 1-10 - [c7]Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. CVPR (2) 2004: 914-921 - 2003
- [c6]Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. CVPR (2) 2003: 272-280 - [c5]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
A Sparse Texture Representation Using Affine-Invariant Regions. CVPR (2) 2003: 319-326 - [c4]Svetlana Lazebnik, Jean Ponce:
The Local Projective Shape of Smooth Surfaces and their Outlines. ICCV 2003: 83-89 - [c3]Svetlana Lazebnik, Cordelia Schmid, Jean Ponce:
Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition. ICCV 2003: 649-655 - 2002
- [c2]Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, David J. Kriegman, Jean Ponce, Martial Hebert:
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. ECCV (3) 2002: 651-665 - 2001
- [c1]Svetlana Lazebnik, Edmond Boyer, Jean Ponce:
On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces. CVPR (1) 2001: 156-161
Coauthor Index
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