Svetlana Lazebnik

发表

Spatial pyramid matching

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2009 .

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

Svetlana Lazebnik, Alexander G. Schwing, Medhini Narasimhan, 2018, NeurIPS.

Understanding scenes on many levels

Svetlana Lazebnik, Joseph Tighe, 2011, 2011 International Conference on Computer Vision.

Towards Open-Universe Image Parsing with Broad Coverage

Svetlana Lazebnik, Joseph Tighe, S. Lazebnik, 2013, MVA.

The Local Projective Shape of Smooth Surfaces and Their Outlines

Jean Ponce, Svetlana Lazebnik, J. Ponce, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Active Object Localization with Deep Reinforcement Learning

Svetlana Lazebnik, Juan C. Caicedo, S. Lazebnik, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

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

Svetlana Lazebnik, Juan C. Caicedo, Liwei Wang, 2015, International Journal of Computer Vision.

Superparsing - Scalable Nonparametric Image Parsing with Superpixels

Svetlana Lazebnik, Joseph Tighe, S. Lazebnik, 2010, International Journal of Computer Vision.

Where to Buy It: Matching Street Clothing Photos in Online Shops

Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A sparse texture representation using affine-invariant regions

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Fast robust large-scale mapping from video and internet photo collections

Marc Pollefeys, Svetlana Lazebnik, Christopher Zach, 2010 .

Iterative quantization: A procrustean approach to learning binary codes

Svetlana Lazebnik, Yunchao Gong, F. Perronnin, 2011, CVPR 2011.

Computing iconic summaries of general visual concepts

Svetlana Lazebnik, Rahul Raguram, S. Lazebnik, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

An empirical Bayes approach to contextual region classification

Svetlana Lazebnik, Maxim Raginsky, 2009, CVPR.

Local, semi-local and global models for texture, object and scene recognition

Jean Ponce, Svetlana Lazebnik, J. Ponce, 2006 .

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

Svetlana Lazebnik, Alexander G. Schwing, Liwei Wang, 2017, NIPS.

New Results - Visual object recognition

Cordelia Schmid, Joost van de Weijer, Martial Hebert, 2007 .

A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics

Michael Isard, Svetlana Lazebnik, Qifa Ke, 2012, International Journal of Computer Vision.

Superparsing

Svetlana Lazebnik, Joseph Tighe, S. Lazebnik, 2010, International Journal of Computer Vision.

Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization

Svetlana Lazebnik, Maxim Raginsky, S. Lazebnik, 2005, NIPS.

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

Svetlana Lazebnik, Marc Niethammer, Joseph Tighe, 2015, International Journal of Computer Vision.

Object Class Recognition (Categorization)

Svetlana Lazebnik, S. Lazebnik, 2014, Computer Vision, A Reference Guide.

Semi-Local Affine Parts for Object Recognition

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2004, BMVC.

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

Svetlana Lazebnik, Arun Mallya, Dillon Davis, 2018, ECCV.

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

Cordelia Schmid, Fred Rothganger, Jean Ponce, 2007, IEEE Trans. Pattern Anal. Mach. Intell..

On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes

Cordelia Schmid, Martial Hebert, David J. Kriegman, 2002, ECCV.

The Local Projective Shape of Smooth Surfaces and Their Outlines

Jean Ponce, Svetlana Lazebnik, J. Ponce, 2005, International Journal of Computer Vision.

Near-minimax recursive density estimation on the binary hypercube

Svetlana Lazebnik, Rebecca Willett, Maxim Raginsky, 2008, NIPS.

Two Body Problem: Collaborative Visual Task Completion

Ali Farhadi, Svetlana Lazebnik, Alexander G. Schwing, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Supervised Learning of Quantizer Codebooks by Information Loss Minimization

Svetlana Lazebnik, Maxim Raginsky, S. Lazebnik, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bridging the Imitation Gap by Adaptive Insubordination pdf

Svetlana Lazebnik, Jordi Salvador, Aniruddha Kembhavi, 2020, NeurIPS.

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

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2006, Toward Category-Level Object Recognition.

Adaptive Object Detection Using Adjacency and Zoom Prediction

Tara Javidi, Svetlana Lazebnik, Yongxi Lu, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Informative Edge Maps for Indoor Scene Layout Prediction

Svetlana Lazebnik, Arun Mallya, S. Lazebnik, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

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

Cordelia Schmid, Svetlana Lazebnik, Marcin Marszalek, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Training Deeper Convolutional Networks with Deep Supervision pdf

Zhuowen Tu, Svetlana Lazebnik, Chen-Yu Lee, 2015, ArXiv.

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

Svetlana Lazebnik, Arun Mallya, S. Lazebnik, 2016, ECCV.

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

Svetlana Lazebnik, Arun Mallya, Zih-Siou Hung, 2019, ArXiv.

Projective Visual Hulls

Jean Ponce, Svetlana Lazebnik, Yasutaka Furukawa, 2007, International Journal of Computer Vision.

Analysis of human attractiveness using manifold kernel regression

Svetlana Lazebnik, Bradley C. Davis, B. Davis, 2008, 2008 15th IEEE International Conference on Image Processing.

Iterative quantization: A procrustean approach to learning binary codes

Svetlana Lazebnik, Albert Gordo, Florent Perronnin, 2011, CVPR 2011.

Affine-invariant local descriptors and neighborhood statistics for texture recognition

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Generic Object Recognition

Svetlana Lazebnik, 2014, Computer Vision, A Reference Guide.

3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints

Cordelia Schmid, Fred Rothganger, Jean Ponce, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

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

Svetlana Lazebnik, Arun Mallya, S. Lazebnik, 2018, ArXiv.

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

Svetlana Lazebnik, Arun Mallya, Julia Hockenmaier, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

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

Svetlana Lazebnik, Maxim Raginsky, 2007, AISTATS.

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs

Jan-Michael Frahm, Svetlana Lazebnik, Changchang Wu, 2008, International Journal of Computer Vision.

Enhancing Video Summarization via Vision-Language Embedding

Svetlana Lazebnik, Matthew A. Brown, Matthew Brown, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

On computing exact visual hulls of solids bounded by smooth surfaces

Jean Ponce, Svetlana Lazebnik, Edmond Boyer, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Angular Quantization-based Binary Codes for Fast Similarity Search

Sanjiv Kumar, Svetlana Lazebnik, Vishal Verma, 2012, NIPS.

a Sparse Texture Representation Using Affine-Invariant Neighborhoods Regions

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2003 .

Open-vocabulary Phrase Detection

Ke Xu, Kate Saenko, Svetlana Lazebnik, 2018, ArXiv.

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

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Recurrent Models for Situation Recognition

Svetlana Lazebnik, Arun Mallya, S. Lazebnik, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections

Sanjiv Kumar, Svetlana Lazebnik, Henry A. Rowley, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Proceedings, Part II, of the 12th European Conference on Computer Vision --- ECCV 2012 - Volume 7573

Cordelia Schmid, Andrew W. Fitzgibbon, Pietro Perona, 2012 .

New Results - Recognition

Cordelia Schmid, Fred Rothganger, Ankur Agarwal, 2004 .

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

Svetlana Lazebnik, Joseph Tighe, S. Lazebnik, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-scale Orderless Pooling of Deep Convolutional Activation Features

Svetlana Lazebnik, Ruiqi Guo, Liwei Wang, 2014, ECCV.

Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation

Svetlana Lazebnik, Arun Mallya, Zih-Siou Hung, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues pdf

Svetlana Lazebnik, Arun Mallya, Julia Hockenmaier, 2016, ArXiv.

Segmenting, modeling, and matching video clips containing multiple moving objects

Cordelia Schmid, Fred Rothganger, Jean Ponce, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

A Multi-View Embedding Space for Internet Images, Tags, and Their Semantics

Michael Isard, Svetlana Lazebnik, Qifa Ke, 2012 .

Building Rome on a Cloudless Day

Jan-Michael Frahm, Svetlana Lazebnik, Enrique Dunn, 2010, ECCV.

A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks pdf

Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, 2020, ECCV.

3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

Cordelia Schmid, Fred Rothganger, Jean Ponce, 2006, International Journal of Computer Vision.

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

Svetlana Lazebnik, Alexander G. Schwing, Unnat Jain, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Asymmetric Distances for Binary Embeddings

Svetlana Lazebnik, Albert Gordo, Florent Perronnin, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Computer Vision – ECCV 2012

Cordelia Schmid, Yoichi Sato, Pietro Perona, 2012, Lecture Notes in Computer Science.

A sparse texture representation using local affine regions

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Combining Multiple Cues for Visual Madlibs Question Answering

Svetlana Lazebnik, Tatiana Tommasi, Alexander C. Berg, 2016, International Journal of Computer Vision.

A maximum entropy framework for part-based texture and object recognition

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

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

Svetlana Lazebnik, Megha Pandey, S. Lazebnik, 2011, 2011 International Conference on Computer Vision.

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

Cordelia Schmid, Svetlana Lazebnik, Marcin Marszalek, 2006, CVPR Workshops.

Learning local affine-invariant part models for object class recognition

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2004 .

Memory-Efficient Incremental Learning Through Feature Adaptation pdf

Cordelia Schmid, Svetlana Lazebnik, Ahmet Iscen, 2020, ECCV.

3D Object Modeling and Recognition from Photographs and Image Sequences

Cordelia Schmid, Fred Rothganger, Jean Ponce, 2006, Toward Category-Level Object Recognition.

Message from the General and Program Chairs

In So Kweon, Nikos Paragios, Svetlana Lazebnik, 2018, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI).

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

Svetlana Lazebnik, Arun Mallya, S. Lazebnik, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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

Svetlana Lazebnik, Juan C. Caicedo, Liwei Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Conditional Image-Text Embedding Networks pdf

Robinson Piramuthu, Svetlana Lazebnik, Shuai Zheng, 2017, ECCV.

Solving VIsual Madlibs with Multiple Cues pdf

Svetlana Lazebnik, Tatiana Tommasi, Alexander C. Berg, 2016, BMVC.

Scene Parsing with Object Instances and Occlusion Ordering

Svetlana Lazebnik, Marc Niethammer, Joseph Tighe, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Unsupervised Patch-based Context from Millions of Images

Alexei A. Efros, Martial Hebert, Svetlana Lazebnik, 2011 .

Representing, learning, and recognizing non-rigid textures and texture categories

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2003 .

Dataset Issues in Object Recognition

Cordelia Schmid, David A. Forsyth, Martial Hebert, 2006, Toward Category-Level Object Recognition.

Pattern recognition with local invariant features

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2005 .

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

Liwei Wang, Svetlana Lazebnik, Jing Huang, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections

Svetlana Lazebnik, Liwei Wang, Julia Hockenmaier, 2014, ECCV.

Proceedings of the 12th European conference on Computer Vision - Volume Part I

Cordelia Schmid, Andrew W. Fitzgibbon, Pietro Perona, 2012 .

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs

Jan-Michael Frahm, Svetlana Lazebnik, Christopher Zach, 2008, ECCV.

Learning Deep Structure-Preserving Image-Text Embeddings

Yin Li, Svetlana Lazebnik, Liwei Wang, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Fast robust reconstruction of large-scale environments

Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebnik, 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

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

Svetlana Lazebnik, Yunchao Gong, 2011, CVPR 2011.

Locality-sensitive binary codes from shift-invariant kernels

Svetlana Lazebnik, Maxim Raginsky, S. Lazebnik, 2009, NIPS.

Multi-Object Tracking with Hallucinated and Unlabeled Videos pdf

Davide Modolo, Svetlana Lazebnik, Bing Shuai, 2021, ArXiv.

Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents pdf

Svetlana Lazebnik, Angel X. Chang, Unnat Jain, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Svetlana Lazebnik, Aiyu Cui, Daniel McKee, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

GridToPix: Training Embodied Agents with Minimal Supervision pdf

Svetlana Lazebnik, Aniruddha Kembhavi, Unnat Jain, 2021, ArXiv.

A recursive procedure for density estimation on the binary hypercube

Svetlana Lazebnik, Rebecca Willett, Maxim Raginsky, 2011, 1112.1450.

Visibility-Based Pursuit-Evasion in Three-Dimensional Environments

Svetlana Lazebnik, S. Lazebnik, Svetlana Lazebnik, 2011 .

A maximum entropy framework for combining parts and relations for texture and object recognition

Cordelia Schmid, Jean Ponce, Svetlana Lazebnik, 2005 .

Revisiting Image-Language Networks for Open-ended Phrase Detection.

Kate Saenko, Svetlana Lazebnik, Stan Sclaroff, 2020, IEEE transactions on pattern analysis and machine intelligence.