On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces. - Svetlana Lazebnik; Edmond Boyer; Jean Ponce (CVPR (1), 2001)

On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. - Svetlana Lazebnik; Amit Sethi; Cordelia Schmid; David J. Kriegman; Jean Ponce; Martial Hebert (ECCV (3), 2002)

A Sparse Texture Representation Using Affine-Invariant Regions. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (CVPR (2), 2003)

3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. - Fred Rothganger; Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (CVPR (2), 2003)

The Local Projective Shape of Smooth Surfaces and their Outlines. - Svetlana Lazebnik; Jean Ponce (ICCV, 2003)

Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (ICCV, 2003)

Semi-Local Affine Parts for Object Recognition. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (BMVC, 2004)

Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. - Fred Rothganger; Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (CVPR (2), 2004)

A Maximum Entropy Framework for Part-Based Texture and Object Recognition. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (ICCV, 2005)

Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization. - Maxim Raginsky; Svetlana Lazebnik (NIPS, 2005)

A Sparse Texture Representation Using Local Affine Regions. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

A Discriminative Framework for Texture and Object Recognition Using Local Image Features. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (Toward Category-Level Object Recognition, 2006)

Dataset Issues in 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 001; Christopher K. I. Williams; Jianguo Zhang 001; et al. (Toward Category-Level Object Recognition, 2006)

3D Object Modeling and Recognition from Photographs and Image Sequences. - Fred Rothganger; Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (Toward Category-Level Object Recognition, 2006)

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. - Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (CVPR (2), 2006)

Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. - Jianguo Zhang 001; Marcin Marszalek; Svetlana Lazebnik; Cordelia Schmid (CVPR Workshops, 2006)

3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. - Fred Rothganger; Svetlana Lazebnik; Cordelia Schmid; Jean Ponce (Int. J. Comput. Vis., 2006)

Local, Semi-Local and Global Models for Texture, Object and Scene Recognition - Svetlana Lazebnik (2006)

Projective Visual Hulls. - Svetlana Lazebnik; Yasutaka Furukawa; Jean Ponce (Int. J. Comput. Vis., 2007)

Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. - Svetlana Lazebnik; Maxim Raginsky (AISTATS, 2007)

Computing iconic summaries of general visual concepts. - Rahul Raguram; Svetlana Lazebnik (CVPR Workshops, 2008)

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. - Xiaowei Li 007; Changchang Wu; Christopher Zach; Svetlana Lazebnik; Jan-Michael Frahm (ECCV (1), 2008)

Analysis of human attractiveness using manifold kernel regression. - Bradley C. Davis; Svetlana Lazebnik (ICIP, 2008)

Near-minimax recursive density estimation on the binary hypercube. - Maxim Raginsky; Svetlana Lazebnik; Rebecca Willett; Jorge G. Silva (NIPS, 2008)

An empirical Bayes approach to contextual region classification. - Svetlana Lazebnik; Maxim Raginsky (CVPR, 2009)

Locality-sensitive binary codes from shift-invariant kernels. - Maxim Raginsky; Svetlana Lazebnik (NIPS, 2009)

Supervised Learning of Quantizer Codebooks by Information Loss Minimization. - Svetlana Lazebnik; Maxim Raginsky (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Fast robust reconstruction of large-scale environments. - Jan-Michael Frahm; Marc Pollefeys; Svetlana Lazebnik; Brian Clipp; David Gallup; Rahul Raguram; Changchang Wu (CISS, 2010)

Building Rome on a Cloudless Day. - Jan-Michael Frahm; Pierre Fite Georgel; David Gallup; Tim Johnson; Rahul Raguram; Changchang Wu; Yi-Hung Jen; Enrique Dunn; Brian Clipp; Svetlana Lazebnik (ECCV (4), 2010)

SuperParsing: Scalable Nonparametric Image Parsing with Superpixels. - Joseph Tighe; Svetlana Lazebnik (ECCV (5), 2010)

Iterative quantization: A procrustean approach to learning binary codes. - Yunchao Gong; Svetlana Lazebnik (CVPR, 2011)

Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images. - Yunchao Gong; Svetlana Lazebnik (CVPR, 2011)

Scene recognition and weakly supervised object localization with deformable part-based models. - Megha Pandey; Svetlana Lazebnik (ICCV, 2011)

Understanding scenes on many levels. - Joseph Tighe; Svetlana Lazebnik (ICCV, 2011)

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. - Rahul Raguram; Changchang Wu; Jan-Michael Frahm; Svetlana Lazebnik (Int. J. Comput. Vis., 2011)

Angular Quantization-based Binary Codes for Fast Similarity Search. - Yunchao Gong; Sanjiv Kumar; Vishal Verma; Svetlana Lazebnik (NIPS, 2012)

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections. - Yunchao Gong; Sanjiv Kumar; Henry A. Rowley; Svetlana Lazebnik (CVPR, 2013)

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. - Joseph Tighe; Svetlana Lazebnik (CVPR, 2013)

Towards Open-Universe Image Parsing with Broad Coverage. - Svetlana Lazebnik; Joseph Tighe (MVA, 2013)

Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval. - Yunchao Gong; Svetlana Lazebnik; Albert Gordo; Florent Perronnin (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Scene Parsing with Object Instances and Occlusion Ordering. - Joseph Tighe; Marc Niethammer; Svetlana Lazebnik (CVPR, 2014)

Multi-scale Orderless Pooling of Deep Convolutional Activation Features. - Yunchao Gong; Liwei Wang 009; Ruiqi Guo; Svetlana Lazebnik (ECCV (7), 2014)

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. - Yunchao Gong; Liwei Wang 009; Micah Hodosh; Julia Hockenmaier; Svetlana Lazebnik (ECCV (4), 2014)

A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics. - Yunchao Gong; Qifa Ke; Michael Isard; Svetlana Lazebnik (Int. J. Comput. Vis., 2014)

Asymmetric Distances for Binary Embeddings. - Albert Gordo; Florent Perronnin; Yunchao Gong; Svetlana Lazebnik (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Generic Object Recognition. - Svetlana Lazebnik (Computer Vision, A Reference Guide, 2014)

Object Class Recognition (Categorization). - Svetlana Lazebnik (Computer Vision, A Reference Guide, 2014)

Active Object Localization with Deep Reinforcement Learning. - Juan C. Caicedo; Svetlana Lazebnik (ICCV, 2015)

Where to Buy It: Matching Street Clothing Photos in Online Shops. - M. Hadi Kiapour; Xufeng Han; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (ICCV, 2015)

Learning Informative Edge Maps for Indoor Scene Layout Prediction. - Arun Mallya; Svetlana Lazebnik (ICCV, 2015)

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. - Bryan A. Plummer; Liwei Wang 009; Chris M. Cervantes; Juan C. Caicedo; Julia Hockenmaier; Svetlana Lazebnik (ICCV, 2015)

Training Deeper Convolutional Networks with Deep Supervision. - Liwei Wang 009; Chen-Yu Lee; Zhuowen Tu; Svetlana Lazebnik (CoRR, 2015)

Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. - Joseph Tighe; Marc Niethammer; Svetlana Lazebnik (Int. J. Comput. Vis., 2015)

Solving VIsual Madlibs with Multiple Cues. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (BMVC, 2016)

Adaptive Object Detection Using Adjacency and Zoom Prediction. - Yongxi Lu; Tara Javidi; Svetlana Lazebnik (CVPR, 2016)

Learning Deep Structure-Preserving Image-Text Embeddings. - Liwei Wang 009; Yin Li 003; Svetlana Lazebnik (CVPR, 2016)

Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. - Arun Mallya; Svetlana Lazebnik (ECCV (1), 2016)

Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (CoRR, 2016)

Enhancing Video Summarization via Vision-Language Embedding. - Bryan A. Plummer; Matthew Brown 001; Svetlana Lazebnik (CVPR, 2017)

Recurrent Models for Situation Recognition. - Arun Mallya; Svetlana Lazebnik (ICCV, 2017)

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (ICCV, 2017)

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. - Liwei Wang 009; Alexander G. Schwing; Svetlana Lazebnik (NIPS, 2017)

Learning Two-Branch Neural Networks for Image-Text Matching Tasks. - Liwei Wang 009; Yin Li 003; Svetlana Lazebnik (CoRR, 2017)

Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. - Unnat Jain; Svetlana Lazebnik; Alexander G. Schwing (CVPR, 2018)

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. - Arun Mallya; Svetlana Lazebnik (CVPR, 2018)

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights. - Arun Mallya; Dillon Davis; Svetlana Lazebnik (ECCV (4), 2018)

Conditional Image-Text Embedding Networks. - Bryan A. Plummer; Paige Kordas; M. Hadi Kiapour; Shuai Zheng 004; Robinson Piramuthu; Svetlana Lazebnik (ECCV (12), 2018)

Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. - Medhini Narasimhan; Svetlana Lazebnik; Alexander G. Schwing (NeurIPS, 2018)

Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask. - Arun Mallya; Svetlana Lazebnik (CoRR, 2018)

Open-vocabulary Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (CoRR, 2018)

Two Body Problem: Collaborative Visual Task Completion. - Unnat Jain; Luca Weihs; Eric Kolve; Mohammad Rastegari; Svetlana Lazebnik; Ali Farhadi; Alexander G. Schwing; Aniruddha Kembhavi (CVPR, 2019)

Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. - Zih-Siou Hung; Arun Mallya; Svetlana Lazebnik (CoRR, 2019)

Combining Multiple Cues for Visual Madlibs Question Answering. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (Int. J. Comput. Vis., 2019)

Learning Two-Branch Neural Networks for Image-Text Matching Tasks. - Liwei Wang 009; Yin Li 003; Jing Huang 014; Svetlana Lazebnik (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Memory-Efficient Incremental Learning Through Feature Adaptation. - Ahmet Iscen; Jeffrey Zhang 004; Svetlana Lazebnik; Cordelia Schmid (ECCV (16), 2020)

A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. - Unnat Jain; Luca Weihs; Eric Kolve; Ali Farhadi; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (ECCV (5), 2020)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (CoRR, 2020)

Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing. - Aiyu Cui; Daniel McKee; Svetlana Lazebnik (CVPR Workshops, 2021)

GridToPix: Training Embodied Agents with Minimal Supervision. - Unnat Jain; Iou-Jen Liu; Svetlana Lazebnik; Aniruddha Kembhavi; Luca Weihs; Alexander G. Schwing (ICCV, 2021)

Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. - Shivansh Patel; Saim Wani; Unnat Jain; Alexander G. Schwing; Svetlana Lazebnik; Manolis Savva; Angel X. Chang (ICCV, 2021)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Iou-Jen Liu; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (NeurIPS, 2021)

Multi-Object Tracking with Hallucinated and Unlabeled Videos. - Daniel McKee; Bing Shuai; Andrew G. Berneshawi; Manchen Wang; Davide Modolo; Svetlana Lazebnik; Joseph Tighe (CoRR, 2021)

Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. - Zih-Siou Hung; Arun Mallya; Svetlana Lazebnik (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Transfer of Representations to Video Label Propagation: Implementation Factors Matter. - Daniel McKee; Zitong Zhan; Bing Shuai; Davide Modolo; Joseph Tighe; Svetlana Lazebnik (CoRR, 2022)

MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. - Viraj Shah; Svetlana Lazebnik (CoRR, 2022)

Robust Online Video Instance Segmentation with Track Queries. - Zitong Zhan; Daniel McKee; Svetlana Lazebnik (CoRR, 2022)

Revisiting Image-Language Networks for Open-Ended Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

One-Shot Stylization for Full-Body Human Images. - Aiyu Cui; Svetlana Lazebnik (CoRR, 2023)

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. - Aiyu Cui; Jay Mahajan; Viraj Shah; Preeti Gomathinayagam; Svetlana Lazebnik (CoRR, 2023)

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now. - Ayush Sarkar; Hanlin Mai; Amitabh Mahapatra; Svetlana Lazebnik; David A. Forsyth; Anand Bhattad (CVPR, 2024)

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. - Viraj Shah; Nataniel Ruiz; Forrester Cole; Erika Lu; Svetlana Lazebnik; Yuanzhen Li; Varun Jampani (ECCV (1), 2024)

UnZipLoRA: Separating Content and Style from a Single Image. - Chang Liu; Viraj Shah; Aiyu Cui; Svetlana Lazebnik (CoRR, 2024)

In Memoriam: Xiaoou Tang. - Yasuyuki Matsushita; Svetlana Lazebnik; Jiri Matas (Int. J. Comput. Vis., 2024)

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. - Shivansh Patel; Xinchen Yin; Wenlong Huang; Shubham Garg; Hooshang Nayyeri; Li Fei-Fei 001; Svetlana Lazebnik; Yunzhu Li (ICRA, 2025)

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. - Aiyu Cui; Jay Mahajan; Viraj Shah; Preeti Gomathinayagam; Chang Liu; Svetlana Lazebnik (WACV, 2025)

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. - Viraj Shah; Svetlana Lazebnik; Julien Philip (Trans. Mach. Learn. Res., 2025)

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations. - Shivansh Patel; Shraddhaa Mohan; Hanlin Mai; Unnat Jain; Svetlana Lazebnik; Yunzhu Li (CoRR, 2025)

Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping. - Dwip Dalal; Gautam Vashishtha; Utkarsh Mishra; Jeonghwan Kim; Madhav Kanda; Hyeonjeong Ha; Svetlana Lazebnik; Heng Ji 001; Unnat Jain (CoRR, 2025)