World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
19320
World Ranking
11417
National Ranking
448

Overview

Olga Veksler is affiliated with the University of Waterloo in Canada and conducts research primarily within the field of Computer Science. Their work focuses notably on the subfields of Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their main research topics span several advanced areas including:

  • Advanced Neural Network Applications
  • Visual Attention and Saliency Detection
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques

Veksler's recent scholarly output features publications in prominent venues such as the IEEE Transactions on Pattern Analysis and Machine Intelligence and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Key papers include:

  • "Sparse Non-Local CRF With Applications," published in 2024 in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Sparse Non-local CRF," presented in 2022 at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation," published in 2024 in IEEE Transactions on Pattern Analysis and Machine Intelligence, coauthored with Zongliang Ji

Frequent collaborators include Yuri Boykov and Zongliang Ji, reflecting research partnerships that contributed to the published work.

Veksler's work has been disseminated mainly through:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • Fast approximate energy minimization via graph cuts

    Y. Boykov;O. Veksler;R. Zabih

  • A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

    R. Szeliski;R. Zabih;D. Scharstein;O. Veksler

  • Markov random fields with efficient approximations

    Y. Boykov;O. Veksler;R. Zabih

  • Superpixels and supervoxels in an energy optimization framework

    Olga Veksler;Yuri Boykov;Paria Mehrani

  • Fast approximate energy minimization via graph cuts

    Y. Boykov;O. Veksler;R. Zabih

  • Fast variable window for stereo correspondence using integral images

    O. Veksler

  • A comparative study of energy minimization methods for markov random fields

    Richard Szeliski;Ramin Zabih;Daniel Scharstein;Olga Veksler

  • Stereo correspondence by dynamic programming on a tree

    O. Veksler

  • Star Shape Prior for Graph-Cut Image Segmentation

    Olga Veksler

  • Efficient graph-based energy minimization methods in computer vision

    Ramin Zabih;Olga Veksler

  • Graph Cuts in Vision and Graphics: Theories and Applications

    Yuri Boykov;Olga Veksler

  • GrabCut in One Cut

    Meng Tang;Lena Gorelick;Olga Veksler;Yuri Boykov

  • A variable window approach to early vision

    Yu. Boykov;O. Veksler;R. Zabih

  • Stereo correspondence with compact windows via minimum ratio cycle

    O. Veksler

  • Image segmentation by nested cuts

    O. Veksler

  • Semiautomatic segmentation with compact shape prior

    Piali Das;Olga Veksler;Vyacheslav Zavadsky;Yuri Boykov

  • Stereo matching by compact windows via minimum ratio cycle

    O. Veksler

  • Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

    Lena Gorelick;Olga Veksler;Mena Gaed;Jose A. Gomez

  • Graph Cut Based Optimization for MRFs with Truncated Convex Priors

    O. Veksler

  • Parameter Selection for Graph Cut Based Image Segmentation.

    Bo Peng;Olga Veksler

Frequent Co-Authors

Yuri Boykov
Yuri Boykov University of Waterloo
Ramin Zabih
Ramin Zabih Cornell University
Milan Sonka
Milan Sonka University of Iowa
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Vladimir Kolmogorov
Vladimir Kolmogorov Institute of Science and Technology Austria
Richard Szeliski
Richard Szeliski University of Washington
Carsten Rother
Carsten Rother Heidelberg University
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Nikos Komodakis
Nikos Komodakis University of Crete
Philip H. S. Torr
Philip H. S. Torr University of Oxford

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens doors to a wide variety of online degree options and career pathways, many of which crossover into other technical fields. For students interested in environmental issues, programs like environmental engineering degrees online blend computing skills with sustainable problem-solving. Similarly, those curious about how technology connects with ecosystems can look into what can you do with an environmental science degree to uncover alternative paths where computer science knowledge is valuable.

For learners looking for flexibility or a faster route to the workforce, there are options like the fastest computer science degree programs. These online, accelerated formats can provide the same rigorous curriculum but in a shorter time frame, helping you launch your tech career sooner. Additionally, related majors such as engineering are widely available online—programs such as an online mechanical engineering degree offer new avenues for those interested in integrating computing with physical systems.

No matter your focus, studying computer science in the USA or through online alternatives lets you shape a unique and in-demand skill set, adaptable to countless industries.

Best Scientists Citing Olga Veksler

Trending Scientists

Recently Published Articles