Svetlana Lazebnik

137 papers A* 30A 4B 1Misc 2Journal 62Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CRAFT: A Tendon-Driven Hand with Hybrid Hard-Soft Compliance. CoRR Leo Lin, Shivansh Patel, Jay Moon, Svetlana Lazebnik, Unnat Jain
2025	A*	`conf`	A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. ICRA Shivansh Patel, Xinchen Yin, Wenlong Huang, Shubham Garg, Hooshang Nayyeri, Li Fei-Fei, Svetlana Lazebnik, Yunzhu Li
2025	J	`jnl`	A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. CoRR Shivansh Patel, Xinchen Yin, Wenlong Huang, Shubham Garg, Hooshang Nayyeri, Li Fei-Fei, Svetlana Lazebnik, Yunzhu Li
2025	J	`jnl`	Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping. CoRR Dwip Dalal, Gautam Vashishtha, Utkarsh Mishra, Jeonghwan Kim, Madhav Kanda, Hyeonjeong Ha, Svetlana Lazebnik, Heng Ji, Unnat Jain
2025	J	`jnl`	JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. Trans. Mach. Learn. Res. Viraj Shah, Svetlana Lazebnik, Julien Philip
2025	J	`jnl`	Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations. CoRR Shivansh Patel, Shraddhaa Mohan, Hanlin Mai, Unnat Jain, Svetlana Lazebnik, Yunzhu Li
2025	A	`conf`	Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. WACV Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Chang Liu, Svetlana Lazebnik
2024	J	`jnl`	In Memoriam: Xiaoou Tang. Int. J. Comput. Vis. Yasuyuki Matsushita, Svetlana Lazebnik, Jiri Matas
2024	A*	`conf`	Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now. CVPR Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad
2024	J	`jnl`	UnZipLoRA: Separating Content and Style from a Single Image. CoRR Chang Liu, Viraj Shah, Aiyu Cui, Svetlana Lazebnik
2024	—	`conf`	ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. ECCV (1) Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani
2023	J	`jnl`	JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. CoRR Viraj Shah, Svetlana Lazebnik, Julien Philip
2023	J	`jnl`	One-Shot Stylization for Full-Body Human Images. CoRR Aiyu Cui, Svetlana Lazebnik
2023	J	`jnl`	Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now. CoRR Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad
2023	J	`jnl`	Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. CoRR Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik
2023	J	`jnl`	ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani
2022	J	`jnl`	MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. CoRR Viraj Shah, Svetlana Lazebnik
2022	J	`jnl`	Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2022	J	`jnl`	Robust Online Video Instance Segmentation with Track Queries. CoRR Zitong Zhan, Daniel McKee, Svetlana Lazebnik
2022	J	`jnl`	Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik
2021	A*	`conf`	Bridging the Imitation Gap by Adaptive Insubordination. NeurIPS Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2021	J	`jnl`	Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik
2021	—	`conf`	Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing. CVPR Workshops Aiyu Cui, Daniel McKee, Svetlana Lazebnik
2021	A*	`conf`	Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. ICCV Aiyu Cui, Daniel McKee, Svetlana Lazebnik
2021	J	`jnl`	Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. CoRR Aiyu Cui, Daniel McKee, Svetlana Lazebnik
2021	A*	`conf`	GridToPix: Training Embodied Agents with Minimal Supervision. ICCV Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
2021	J	`jnl`	GridToPix: Training Embodied Agents with Minimal Supervision. CoRR Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
2021	A*	`conf`	Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. ICCV Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
2021	J	`jnl`	Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. CoRR Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
2021	J	`jnl`	Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe
2020	J	`jnl`	A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks. CoRR Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020	—	`conf`	A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. ECCV (5) Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020	J	`jnl`	Bridging the Imitation Gap by Adaptive Insubordination. CoRR Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020	—	`conf`	Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid
2020	J	`jnl`	Memory-Efficient Incremental Learning Through Feature Adaptation. CoRR Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid
2019	J	`jnl`	Combining Multiple Cues for Visual Madlibs Question Answering. Int. J. Comput. Vis. Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2019	J	`jnl`	Learning Two-Branch Neural Networks for Image-Text Matching Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik
2019	A*	`conf`	Two Body Problem: Collaborative Visual Task Completion. CVPR Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019	J	`jnl`	Two Body Problem: Collaborative Visual Task Completion. CoRR Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019	J	`jnl`	Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. CoRR Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik
2018	—	`conf`	Conditional Image-Text Embedding Networks. ECCV (12) Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
2018	J	`jnl`	Open-vocabulary Phrase Detection. CoRR Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2018	A*	`conf`	Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. NeurIPS Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
2018	J	`jnl`	Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. CoRR Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
2018	A*	`conf`	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CVPR Arun Mallya, Svetlana Lazebnik
2018	—	`conf`	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights. ECCV (4) Arun Mallya, Dillon Davis, Svetlana Lazebnik
2018	J	`jnl`	Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask. CoRR Arun Mallya, Svetlana Lazebnik
2018	A*	`conf`	Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. CVPR Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing
2018	J	`jnl`	Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering. CoRR Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing
2017	J	`jnl`	Conditional Image-Text Embedding Networks. CoRR Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
2017	—	`conf`	Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. NIPS Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik
2017	J	`jnl`	Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. CoRR Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik
2017	A*	`conf`	Enhancing Video Summarization via Vision-Language Embedding. CVPR Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik
2017	J	`jnl`	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. Int. J. Comput. Vis. Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2017	J	`jnl`	Learning Two-Branch Neural Networks for Image-Text Matching Tasks. CoRR Liwei Wang, Yin Li, Svetlana Lazebnik
2017	J	`jnl`	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CoRR Arun Mallya, Svetlana Lazebnik
2017	A*	`conf`	Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. ICCV Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
2017	A*	`conf`	Recurrent Models for Situation Recognition. ICCV Arun Mallya, Svetlana Lazebnik
2017	J	`jnl`	Recurrent Models for Situation Recognition. CoRR Arun Mallya, Svetlana Lazebnik
2016	A*	`conf`	Adaptive Object Detection Using Adjacency and Zoom Prediction. CVPR Yongxi Lu, Tara Javidi, Svetlana Lazebnik
2016	A*	`conf`	Learning Deep Structure-Preserving Image-Text Embeddings. CVPR Liwei Wang, Yin Li, Svetlana Lazebnik
2016	—	`conf`	Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. ECCV (1) Arun Mallya, Svetlana Lazebnik
2016	J	`jnl`	Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. CoRR Arun Mallya, Svetlana Lazebnik
2016	J	`jnl`	Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. CoRR Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
2016	A	`conf`	Solving VIsual Madlibs with Multiple Cues. BMVC Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2016	J	`jnl`	Solving Visual Madlibs with Multiple Cues. CoRR Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2016	J	`jnl`	Solving Visual Madlibs with Multiple Cues. CoRR Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2015	A*	`conf`	Active Object Localization with Deep Reinforcement Learning. ICCV Juan C. Caicedo, Svetlana Lazebnik
2015	J	`jnl`	Active Object Localization with Deep Reinforcement Learning. CoRR Juan C. Caicedo, Svetlana Lazebnik
2015	J	`jnl`	Adaptive Object Detection Using Adjacency and Zoom Prediction. CoRR Yongxi Lu, Tara Javidi, Svetlana Lazebnik
2015	A*	`conf`	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. ICCV Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2015	J	`jnl`	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. CoRR Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2015	J	`jnl`	Learning Deep Structure-Preserving Image-Text Embeddings. CoRR Liwei Wang, Yin Li, Svetlana Lazebnik
2015	A*	`conf`	Learning Informative Edge Maps for Indoor Scene Layout Prediction. ICCV Arun Mallya, Svetlana Lazebnik
2015	J	`jnl`	Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. Int. J. Comput. Vis. Joseph Tighe, Marc Niethammer, Svetlana Lazebnik
2015	J	`jnl`	Training Deeper Convolutional Networks with Deep Supervision. CoRR Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik
2015	A*	`conf`	Where to Buy It: Matching Street Clothing Photos in Online Shops. ICCV M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2014	J	`jnl`	A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics. Int. J. Comput. Vis. Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik
2014	J	`jnl`	Asymmetric Distances for Binary Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. Albert Gordo, Florent Perronnin, Yunchao Gong, Svetlana Lazebnik
2014	—	`ch.`	Generic Object Recognition. Computer Vision, A Reference Guide Svetlana Lazebnik
2014	—	`conf`	Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. ECCV (4) Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik
2014	—	`conf`	Multi-scale Orderless Pooling of Deep Convolutional Activation Features. ECCV (7) Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik
2014	J	`jnl`	Multi-scale Orderless Pooling of Deep Convolutional Activation Features. CoRR Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik
2014	—	`ch.`	Object Class Recognition (Categorization). Computer Vision, A Reference Guide Svetlana Lazebnik
2014	A*	`conf`	Scene Parsing with Object Instances and Occlusion Ordering. CVPR Joseph Tighe, Marc Niethammer, Svetlana Lazebnik
2013	A*	`conf`	Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. CVPR Joseph Tighe, Svetlana Lazebnik
2013	J	`jnl`	Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Yunchao Gong, Svetlana Lazebnik, Albert Gordo, Florent Perronnin
2013	A*	`conf`	Learning Binary Codes for High-Dimensional Data Using Bilinear Projections. CVPR Yunchao Gong, Sanjiv Kumar, Henry A. Rowley, Svetlana Lazebnik
2013	J	`jnl`	Superparsing - Scalable Nonparametric Image Parsing with Superpixels. Int. J. Comput. Vis. Joseph Tighe, Svetlana Lazebnik
2013	Misc	`conf`	Towards Open-Universe Image Parsing with Broad Coverage. MVA Svetlana Lazebnik, Joseph Tighe
2012	J	`jnl`	A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics CoRR Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik
2012	—	`conf`	Angular Quantization-based Binary Codes for Fast Similarity Search. NIPS Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I ECCV (1) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II ECCV (2) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III ECCV (3) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part IV ECCV (4) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V ECCV (5) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI ECCV (6) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2012	—	`ed.`	Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII ECCV (7) Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid
2011	A*	`conf`	Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images. CVPR Yunchao Gong, Svetlana Lazebnik
2011	A*	`conf`	Iterative quantization: A procrustean approach to learning binary codes. CVPR Yunchao Gong, Svetlana Lazebnik
2011	J	`jnl`	Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. Int. J. Comput. Vis. Rahul Raguram, Changchang Wu, Jan-Michael Frahm, Svetlana Lazebnik
2011	A*	`conf`	Scene recognition and weakly supervised object localization with deformable part-based models. ICCV Megha Pandey, Svetlana Lazebnik
2011	A*	`conf`	Understanding scenes on many levels. ICCV Joseph Tighe, Svetlana Lazebnik
2010	—	`conf`	Building Rome on a Cloudless Day. ECCV (4) Jan-Michael Frahm, Pierre Fite Georgel, David Gallup, Tim Johnson, Rahul Raguram, Changchang Wu, Yi-Hung Jen, Enrique Dunn, Brian Clipp, Svetlana Lazebnik
2010	Misc	`conf`	Fast robust reconstruction of large-scale environments. CISS Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebnik, Brian Clipp, David Gallup, Rahul Raguram, Changchang Wu
2010	—	`conf`	SuperParsing: Scalable Nonparametric Image Parsing with Superpixels. ECCV (5) Joseph Tighe, Svetlana Lazebnik
2009	A*	`conf`	An empirical Bayes approach to contextual region classification. CVPR Svetlana Lazebnik, Maxim Raginsky
2009	—	`conf`	Locality-sensitive binary codes from shift-invariant kernels. NIPS Maxim Raginsky, Svetlana Lazebnik
2009	J	`jnl`	Supervised Learning of Quantizer Codebooks by Information Loss Minimization. IEEE Trans. Pattern Anal. Mach. Intell. Svetlana Lazebnik, Maxim Raginsky
2008	B	`conf`	Analysis of human attractiveness using manifold kernel regression. ICIP Bradley C. Davis, Svetlana Lazebnik
2008	—	`conf`	Computing iconic summaries of general visual concepts. CVPR Workshops Rahul Raguram, Svetlana Lazebnik
2008	—	`conf`	Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. ECCV (1) Xiaowei Li, Changchang Wu, Christopher Zach, Svetlana Lazebnik, Jan-Michael Frahm
2008	—	`conf`	Near-minimax recursive density estimation on the binary hypercube. NIPS Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge G. Silva
2007	A	`conf`	Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. AISTATS Svetlana Lazebnik, Maxim Raginsky
2007	J	`jnl`	Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. Int. J. Comput. Vis. Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid
2007	J	`jnl`	Projective Visual Hulls. Int. J. Comput. Vis. Svetlana Lazebnik, Yasutaka Furukawa, Jean Ponce
2007	J	`jnl`	Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. IEEE Trans. Pattern Anal. Mach. Intell. Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2006	J	`jnl`	3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. Int. J. Comput. Vis. Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2006	—	`conf`	3D Object Modeling and Recognition from Photographs and Image Sequences. Toward Category-Level Object Recognition Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2006	—	`conf`	A Discriminative Framework for Texture and Object Recognition Using Local Image Features. Toward Category-Level Object Recognition Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2006	—	`conf`	Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. CVPR (2) Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2006	—	`conf`	Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 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
2006	—	`conf`	Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. CVPR Workshops Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid
2006	—	`—`	Local, Semi-Local and Global Models for Texture, Object and Scene Recognition Svetlana Lazebnik
2005	A*	`conf`	A Maximum Entropy Framework for Part-Based Texture and Object Recognition. ICCV Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2005	J	`jnl`	A Sparse Texture Representation Using Local Affine Regions. IEEE Trans. Pattern Anal. Mach. Intell. Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2005	—	`conf`	Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization. NIPS Maxim Raginsky, Svetlana Lazebnik
2005	J	`jnl`	The Local Projective Shape of Smooth Surfaces and Their Outlines. Int. J. Comput. Vis. Svetlana Lazebnik, Jean Ponce
2004	—	`conf`	Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. CVPR (2) Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2004	A	`conf`	Semi-Local Affine Parts for Object Recognition. BMVC Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2003	—	`conf`	3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. CVPR (2) Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2003	—	`conf`	A Sparse Texture Representation Using Affine-Invariant Regions. CVPR (2) Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2003	A*	`conf`	Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition. ICCV Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2003	A*	`conf`	The Local Projective Shape of Smooth Surfaces and their Outlines. ICCV Svetlana Lazebnik, Jean Ponce
2002	—	`conf`	On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. ECCV (3) Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, David J. Kriegman, Jean Ponce, Martial Hebert
2001	—	`conf`	On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces. CVPR (1) Svetlana Lazebnik, Edmond Boyer, Jean Ponce