Svetlana Lazebnik

In the fall of 2019 and spring of 2020, I am on sabbatical at Georgia Tech and am not teaching or supervising any new student projects.

I received my Ph.D. at UIUC
in May 2006 under the supervision of Prof. Jean Ponce.
From August 2007 to December 2011 I was an assistant professor at the University of North Carolina at Chapel Hill, and as of January 2012, I have returned as faculty to U of I. My research specialty is computer vision.
The main themes of my research include scene understanding, joint modeling of images and text, large-scale photo collections, and machine learning techniques for visual recognition problems.

Current and former sources of support for my research include the National Science Foundation (under grants IIS 1718221, IIS 1563727, IIS 1228082, CIF 1302438, and IIS 0916829), Amazon Research Award, AWS Machine Learning Research Award, Microsoft Research Faculty Fellowship, Xerox University Affairs Committee Grants, DARPA Computer Science Study Group, Sloan Foundation Fellowship, Google Research Award, ARO, and Adobe.

Ph.D. Students

Former Ph.D. Students

Former Post-Docs

  • Tatiana Tommasi — UNC, post-doc 2015-2016 (joint with Tamara and Alex Berg), now at Italian Institute of Technology
  • Juan Caicedo — U of I, post-doc 2012-2014, now at Broad Institute of MIT and Harvard


Research Highlights

Adapting Networks to New Tasks

Visual Grounding

  • Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
    B. Plummer, A. Mallya, C. Cervantes, J. Hockenmaier, and S. Lazebnik,
    ICCV 2017
  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
    B. Plummer, L. Wang, C. Cervantes, J. Caicedo, J. Hockenmaier, and S. Lazebnik, IJCV 2017
     Project webpage with data

Image-Text Embeddings

  • Conditional Image-Text Embedding Networks
    B. Plummer, P. Kordas, H. Kiapour, S. Zheng, R. Piramuthu, and S. Lazebnik,
    ECCV 2018
  • Learning Deep Structure-Preserving Image-Text Embeddings
    L. Wang, Y. Li, and S. Lazebnik, CVPR 2016
     PAMI article
  • A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics
    Y. Gong, Q. Ke, M. Isard, and S. Lazebnik, IJCV 2014

Older Stuff

Object Detection with Adaptive Proposals

  • Adaptive Object Detection Using Adjacency and Zoom Prediction
    Y. Lu, T. Javidi, and S. Lazebnik, CVPR 2016
     Code on GitHub
  • Active Object Localization with Deep Reinforcement Learning
    J. Caicedo and S. Lazebnik, ICCV 2015
     Spotlight video

Misc. Scene Understanding

Image Parsing — PowerPoint Overview

  • Scene Parsing with Object Instances and Occlusion Ordering
    J. Tighe, M. Niethammer, and S. Lazebnik, CVPR 2014
     Project webpage,
    IJCV article
  • Finding Things: Image Parsing with Regions and Per-Exemplar Detectors
    J. Tighe and S. Lazebnik, CVPR 2013
     Project webpage,
    IJCV article
  • SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
    J. Tighe and S. Lazebnik, ECCV 2010
     Project webpage, IJCV 2013 article

Similarity-Preserving Binary Codes — PowerPoint Overview

Landmark Photo Collections — PowerPoint Overview

  • Building Rome on a Cloudless Day
    J.-M. Frahm, P. Georgel, D. Gallup, T. Johnson, R. Raguram, C. Wu, Y.-H. Jen, E. Dunn, B. Clipp, S. Lazebnik, and M. Pollefeys, ECCV 2010
     Project webpage,
  • Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
    X. Li, C. Wu, C. Zach, S. Lazebnik and J.-M. Frahm, ECCV 2008
    IJCV 2011 article,
    browsing webpage

Spatial Pyramid Matching

Texture and Object Recognition Using Local Features

3D Object Modeling and Recognition in Images and Video

  • Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects
    F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, PAMI 2007
  • 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints
    F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, IJCV 2006


  • I was born in Kiev, Ukraine. If you want to learn more about my birth date,
    you can read this essay I wrote in high school.
  • My husband and scientific collaborator: Maxim Raginsky.
  • I take photos from time to time. Check out my Flickr account.

Last updated February 6, 2020

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