Svetlana Lazebnik

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 56

Top Venues

CoRR

ICCV

CVPR

Int. J. Comput. Vis.

Publications

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 (2023)
Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. CoRR (2023)
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 (2023)
Aiyu Cui, Svetlana Lazebnik
One-Shot Stylization for Full-Body Human Images. CoRR (2023)
Viraj Shah, Svetlana Lazebnik, Julien Philip
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. CoRR (2023)
Zitong Zhan, Daniel McKee, Svetlana Lazebnik
Robust Online Video Instance Segmentation with Track Queries. CoRR (2022)
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) (2022)
Viraj Shah, Svetlana Lazebnik
MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. CoRR (2022)
Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik
Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR (2022)
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
GridToPix: Training Embodied Agents with Minimal Supervision. ICCV (2021)
Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe
Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR (2021)
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) (2021)
Aiyu Cui, Daniel McKee, Svetlana Lazebnik
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. CoRR (2021)
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 (2021)
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)
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
GridToPix: Training Embodied Agents with Minimal Supervision. CoRR (2021)
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)
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)
Aiyu Cui, Daniel McKee, Svetlana Lazebnik
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. ICCV (2021)
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 (2020)
Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
Bridging the Imitation Gap by Adaptive Insubordination. CoRR (2020)
Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid
Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) (2020)
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)
Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid
Memory-Efficient Incremental Learning Through Feature Adaptation. CoRR (2020)
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 (2019)
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)
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) (2019)
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) (2019)
Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik
Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. CoRR (2019)
Arun Mallya, Svetlana Lazebnik
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CVPR (2018)
Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
Conditional Image-Text Embedding Networks. ECCV (12) (2018)
Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. CoRR (2018)
Arun Mallya, Svetlana Lazebnik
Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask. CoRR (2018)
Arun Mallya, Dillon Davis, Svetlana Lazebnik
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights. ECCV (4) (2018)
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
Open-vocabulary Phrase Detection. CoRR (2018)
Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing
Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. CVPR (2018)
Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. NeurIPS (2018)
Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering. CoRR (2018)
Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik
Enhancing Video Summarization via Vision-Language Embedding. CVPR (2017)
Arun Mallya, Svetlana Lazebnik
Recurrent Models for Situation Recognition. CoRR (2017)
Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. CoRR (2017)
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)
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)
Liwei Wang, Yin Li, Svetlana Lazebnik
Learning Two-Branch Neural Networks for Image-Text Matching Tasks. CoRR (2017)
Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
Conditional Image-Text Embedding Networks. CoRR (2017)
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) (2017)
Arun Mallya, Svetlana Lazebnik
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. CoRR (2017)
Arun Mallya, Svetlana Lazebnik
Recurrent Models for Situation Recognition. ICCV (2017)
Liwei Wang, Yin Li, Svetlana Lazebnik
Learning Deep Structure-Preserving Image-Text Embeddings. CVPR (2016)
Yongxi Lu, Tara Javidi, Svetlana Lazebnik
Adaptive Object Detection Using Adjacency and Zoom Prediction. CVPR (2016)
Arun Mallya, Svetlana Lazebnik
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. CoRR (2016)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Solving Visual Madlibs with Multiple Cues. CoRR (2016)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Solving VIsual Madlibs with Multiple Cues. BMVC (2016)
Arun Mallya, Svetlana Lazebnik
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. ECCV (1) (2016)
Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. CoRR (2016)
Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Solving Visual Madlibs with Multiple Cues. CoRR (2016)
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 (2015)
Juan C. Caicedo, Svetlana Lazebnik
Active Object Localization with Deep Reinforcement Learning. CoRR (2015)
Juan C. Caicedo, Svetlana Lazebnik
Active Object Localization with Deep Reinforcement Learning. ICCV (2015)
Arun Mallya, Svetlana Lazebnik
Learning Informative Edge Maps for Indoor Scene Layout Prediction. ICCV (2015)
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)
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)
Liwei Wang, Yin Li, Svetlana Lazebnik
Learning Deep Structure-Preserving Image-Text Embeddings. CoRR (2015)
Joseph Tighe, Marc Niethammer, Svetlana Lazebnik
Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. Int. J. Comput. Vis. 112 (2) (2015)
Yongxi Lu, Tara Javidi, Svetlana Lazebnik
Adaptive Object Detection Using Adjacency and Zoom Prediction. CoRR (2015)
Liwei Wang, Chen-Yu Lee, Zhuowen Tu, Svetlana Lazebnik
Training Deeper Convolutional Networks with Deep Supervision. CoRR (2015)
Albert Gordo, Florent Perronnin, Yunchao Gong, Svetlana Lazebnik
Asymmetric Distances for Binary Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 36 (1) (2014)
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) (2014)
Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. CoRR (2014)
Joseph Tighe, Marc Niethammer, Svetlana Lazebnik
Scene Parsing with Object Instances and Occlusion Ordering. CVPR (2014)
Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. ECCV (7) (2014)
Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik
Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. ECCV (4) (2014)
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) (2013)
Svetlana Lazebnik, Joseph Tighe
Towards Open-Universe Image Parsing with Broad Coverage. MVA (2013)
Yunchao Gong, Sanjiv Kumar, Henry A. Rowley, Svetlana Lazebnik
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections. CVPR (2013)
Joseph Tighe, Svetlana Lazebnik
Superparsing - Scalable Nonparametric Image Parsing with Superpixels. Int. J. Comput. Vis. 101 (2) (2013)
Joseph Tighe, Svetlana Lazebnik
Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. CVPR (2013)
Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik
Angular Quantization-based Binary Codes for Fast Similarity Search. NIPS (2012)
Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics CoRR (2012)
Megha Pandey, Svetlana Lazebnik
Scene recognition and weakly supervised object localization with deformable part-based models. ICCV (2011)
Yunchao Gong, Svetlana Lazebnik
Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images. CVPR (2011)
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) (2011)
Yunchao Gong, Svetlana Lazebnik
Iterative quantization: A procrustean approach to learning binary codes. CVPR (2011)
Joseph Tighe, Svetlana Lazebnik
Understanding scenes on many levels. ICCV (2011)
Joseph Tighe, Svetlana Lazebnik
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels. ECCV (5) (2010)
Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebnik, Brian Clipp, David Gallup, Rahul Raguram, Changchang Wu
Fast robust reconstruction of large-scale environments. CISS (2010)
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)
Svetlana Lazebnik, Maxim Raginsky
Supervised Learning of Quantizer Codebooks by Information Loss Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 31 (7) (2009)
Maxim Raginsky, Svetlana Lazebnik
Locality-sensitive binary codes from shift-invariant kernels. NIPS (2009)
Svetlana Lazebnik, Maxim Raginsky
An empirical Bayes approach to contextual region classification. CVPR (2009)
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)
Rahul Raguram, Svetlana Lazebnik
Computing iconic summaries of general visual concepts. CVPR Workshops (2008)
Bradley C. Davis, Svetlana Lazebnik
Analysis of human attractiveness using manifold kernel regression. ICIP (2008)
Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge G. Silva
Near-minimax recursive density estimation on the binary hypercube. NIPS (2008)
Svetlana Lazebnik, Maxim Raginsky
Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. AISTATS (2007)
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) (2007)
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) (2007)
Svetlana Lazebnik, Yasutaka Furukawa, Jean Ponce
Projective Visual Hulls. Int. J. Comput. Vis. 74 (2) (2007)
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
3D Object Modeling and Recognition from Photographs and Image Sequences. Toward Category-Level Object Recognition (2006)
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) (2006)

Svetlana Lazebnik.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Svetlana Lazebnik