Svetlana Lazebnik

According to our database, Svetlana Lazebnik authored at least 92 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs.

Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani

CoRR, 2023

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition.

Viraj Shah, Svetlana Lazebnik, Julien Philip

CoRR, 2023

One-Shot Stylization for Full-Body Human Images.

Aiyu Cui, Svetlana Lazebnik

CoRR, 2023

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

Robust Online Video Instance Segmentation with Track Queries.

Zitong Zhan, Daniel McKee, Svetlana Lazebnik

CoRR, 2022

MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN.

Viraj Shah, Svetlana Lazebnik

CoRR, 2022

Transfer of Representations to Video Label Propagation: Implementation Factors Matter.

Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik

CoRR, 2022

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

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

Bridging the Imitation Gap by Adaptive Insubordination.

Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GridToPix: Training Embodied Agents with Minimal Supervision.

Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing.

Aiyu Cui, Daniel McKee, Svetlana Lazebnik

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Bridging the Imitation Gap by Adaptive Insubordination.

Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing

CoRR, 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

Proceedings of the Computer Vision - ECCV 2020, 2020

Memory-Efficient Incremental Learning Through Feature Adaptation.

Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning Two-Branch Neural Networks for Image-Text Matching Tasks.

Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik

IEEE Trans. Pattern Anal. Mach. Intell., 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

Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation.

Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik

CoRR, 2019

Two Body Problem: Collaborative Visual Task Completion.

Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Open-vocabulary Phrase Detection.

Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko

CoRR, 2018

Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask.

Arun Mallya, Svetlana Lazebnik

CoRR, 2018

Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering.

Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Conditional Image-Text Embedding Networks.

Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2018, 2018

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights.

Arun Mallya, Dillon Davis, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2018, 2018

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning.

Arun Mallya, Svetlana Lazebnik

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering.

Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models.

Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik

Int. J. Comput. Vis., 2017

Learning Two-Branch Neural Networks for Image-Text Matching Tasks.

Liwei Wang, Yin Li, Svetlana Lazebnik

CoRR, 2017

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space.

Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues.

Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik

Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Models for Situation Recognition.

Arun Mallya, Svetlana Lazebnik

Proceedings of the IEEE International Conference on Computer Vision, 2017

Enhancing Video Summarization via Vision-Language Embedding.

Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering.

Arun Mallya, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Deep Structure-Preserving Image-Text Embeddings.

Liwei Wang, Yin Li, Svetlana Lazebnik

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Adaptive Object Detection Using Adjacency and Zoom Prediction.

Yongxi Lu, Tara Javidi, Svetlana Lazebnik

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Solving VIsual Madlibs with Multiple Cues.

Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors.

Joseph Tighe, Marc Niethammer, Svetlana Lazebnik

Int. J. Comput. Vis., 2015

Training Deeper Convolutional Networks with Deep Supervision.

Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik

CoRR, 2015

Learning Informative Edge Maps for Indoor Scene Layout Prediction.

Arun Mallya, Svetlana Lazebnik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 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

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Active Object Localization with Deep Reinforcement Learning.

Juan C. Caicedo, Svetlana Lazebnik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Object Class Recognition (Categorization).

Svetlana Lazebnik

Computer Vision, A Reference Guide, 2014

Generic Object Recognition.

Svetlana Lazebnik

Computer Vision, A Reference Guide, 2014

Asymmetric Distances for Binary Embeddings.

Albert Gordo, Florent Perronnin, Yunchao Gong, Svetlana Lazebnik

IEEE Trans. Pattern Anal. Mach. Intell., 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

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections.

Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2014, 2014

Multi-scale Orderless Pooling of Deep Convolutional Activation Features.

Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik

Proceedings of the Computer Vision - ECCV 2014, 2014

Scene Parsing with Object Instances and Occlusion Ordering.

Joseph Tighe, Marc Niethammer, Svetlana Lazebnik

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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

Superparsing - Scalable Nonparametric Image Parsing with Superpixels.

Joseph Tighe, Svetlana Lazebnik

Int. J. Comput. Vis., 2013

Towards Open-Universe Image Parsing with Broad Coverage.

Svetlana Lazebnik, Joseph Tighe

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors.

Joseph Tighe, Svetlana Lazebnik

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections.

Yunchao Gong, Sanjiv Kumar, Henry A. Rowley, Svetlana Lazebnik

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Angular Quantization-based Binary Codes for Fast Similarity Search.

Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

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

Understanding scenes on many levels.

Joseph Tighe, Svetlana Lazebnik

Proceedings of the IEEE International Conference on Computer Vision, 2011

Scene recognition and weakly supervised object localization with deformable part-based models.

Megha Pandey, Svetlana Lazebnik

Proceedings of the IEEE International Conference on Computer Vision, 2011

Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images.

Yunchao Gong, Svetlana Lazebnik

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Iterative quantization: A procrustean approach to learning binary codes.

Yunchao Gong, Svetlana Lazebnik

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

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

Proceedings of the Computer Vision, 2010

Fast robust reconstruction of large-scale environments.

Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebnik, Brian Clipp, David Gallup, Rahul Raguram, Changchang Wu

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

Supervised Learning of Quantizer Codebooks by Information Loss Minimization.

Svetlana Lazebnik, Maxim Raginsky

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Locality-sensitive binary codes from shift-invariant kernels.

Maxim Raginsky, Svetlana Lazebnik

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

An empirical Bayes approach to contextual region classification.

Svetlana Lazebnik, Maxim Raginsky

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Near-minimax recursive density estimation on the binary hypercube.

Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge G. Silva

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Analysis of human attractiveness using manifold kernel regression.

Bradley C. Davis, Svetlana Lazebnik

Proceedings of the International Conference on Image Processing, 2008

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs.

Xiaowei Li, Changchang Wu, Christopher Zach, Svetlana Lazebnik, Jan-Michael Frahm

Proceedings of the Computer Vision, 2008

Computing iconic summaries of general visual concepts.

Rahul Raguram, Svetlana Lazebnik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects.

Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization.

Svetlana Lazebnik, Maxim Raginsky

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study.

Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid

Int. J. Comput. Vis., 2007

Projective Visual Hulls.

Svetlana Lazebnik, Yasutaka Furukawa, Jean Ponce

Int. J. Comput. Vis., 2007

2006

Local, Semi-Local and Global Models for Texture, Object and Scene Recognition

Svetlana Lazebnik

PhD thesis, 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

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

3D Object Modeling and Recognition from Photographs and Image Sequences.

Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the 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, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman

Proceedings of the Toward Category-Level Object Recognition, 2006

A Discriminative Framework for Texture and Object Recognition Using Local Image Features.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

A Sparse Texture Representation Using Local Affine Regions.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

IEEE Trans. Pattern Anal. Mach. Intell., 2005

The Local Projective Shape of Smooth Surfaces and Their Outlines.

Svetlana Lazebnik, Jean Ponce

Int. J. Comput. Vis., 2005

Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization.

Maxim Raginsky, Svetlana Lazebnik

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Maximum Entropy Framework for Part-Based Texture and Object Recognition.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Semi-Local Affine Parts for Object Recognition.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the British Machine Vision Conference, 2004

2003

Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints.

Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

A Sparse Texture Representation Using Affine-Invariant Regions.

Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002

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

Proceedings of the Computer Vision, 2002

2001

On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces.

Svetlana Lazebnik, Edmond Boyer, Jean Ponce

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001