World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
13903
World Ranking
5777
National Ranking
2626

Overview

Gregory Shakhnarovich is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research primarily focuses on computer science, with a particular emphasis on subfields such as computer vision and pattern recognition, artificial intelligence, computer graphics and computer-aided design, biophysics, and human-computer interaction.

The scientist's recent publications demonstrate involvement in diverse topics and venues. Recent papers include Analysis of diversity-accuracy tradeoff in image captioning (2020, arXiv), Classification Confidence Estimation with Test-Time Data-Augmentation (2020, arXiv), NeRFuser: Large-Scale Scene Representation by NeRF Fusion (2023, arXiv), Self-Supervised Video Transformers for Isolated Sign Language Recognition (2023, arXiv), and Deformable Style Transfer (2020, Lecture notes in computer science).

The research topics covered by their publications include:

  • Topic Modeling
  • Generative Adversarial Networks and Image Synthesis
  • Computer Graphics and Visualization Techniques
  • Image Enhancement Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning

The scientist has frequently published in venues such as:

  • arXiv (Cornell University), with seven publications
  • Lecture notes in computer science, with one publication

Collaboration is evident through frequent coauthors, including:

  • Matthew R. Walter
  • Jiading Fang
  • Shengjie Lin
  • Igor Vasiljevic
  • Vitor Guizilini

The body of work reflects interdisciplinary considerations, with some research intersecting biophysics and human-computer interaction alongside core areas of artificial intelligence and computer vision. This diversity indicates a broad application of machine learning and computer graphics methodologies in the scientist's research portfolio.

Best Publications

  • Learning Representations for Automatic Colorization

    Gustav Larsson;Michael Maire;Gregory Shakhnarovich

  • FractalNet: Ultra-Deep Neural Networks without Residuals.

    Gustav Larsson;Michael Maire;Gregory Shakhnarovich

  • Locality-Sensitive Hashing Using Stable Distributions

    Gregory Shakhnarovich;Trevor Darrell;Piotr Indyk

  • Nearest-neighbor methods in learning and vision : theory and practice

    Gregory Shakhnarovich;Piotr Indyk;Trevor Darrell

  • Feedforward semantic segmentation with zoom-out features

    Mohammadreza Mostajabi;Payman Yadollahpour;Gregory Shakhnarovich

  • Colorization as a Proxy Task for Visual Understanding

    Gustav Larsson;Michael Maire;Gregory Shakhnarovich

  • Recurrent Back-Projection Network for Video Super-Resolution

    Muhammad Haris;Gregory Shakhnarovich;Norimichi Ukita

  • Face Recognition from Long-Term Observations

    Gregory Shakhnarovich;John W. Fisher;Trevor Darrell

  • Face recognition with image sets using manifold density divergence

    O. Arandjelovic;G. Shakhnarovich;J. Fisher;R. Cipolla

  • A unified learning framework for real time face detection and classification

    G. Shakhnarovich;P.A. Viola;B. Moghaddam

  • Integrated face and gait recognition from multiple views

    G. Shakhnarovich;L. Lee;T. Darrell

  • Diverse M-best solutions in markov random fields

    Dhruv Batra;Payman Yadollahpour;Abner Guzman-Rivera;Gregory Shakhnarovich

  • Face Recognition in Subspaces

    Gregory Shakhnarovich;Baback Moghaddam

  • Decoding Complete Reach and Grasp Actions from Local Primary Motor Cortex Populations

    Carlos E. Vargas-Irwin;Gregory Shakhnarovich;Payman Yadollahpour;John M. K. Mislow

  • Style Transfer by Relaxed Optimal Transport and Self-Similarity

    Nicholas Kolkin;Jason Salavon;Gregory Shakhnarovich

  • Examining the Impact of Blur on Recognition by Convolutional Networks

    Igor Vasiljevic;Ayan Chakrabarti;Gregory Shakhnarovich

  • Learning task-specific similarity

    Gregory Shakhnarovich

  • Discriminability Objective for Training Descriptive Captions

    Ruotian Luo;Gregory Shakhnarovich;Scott Cohen;Brian Price

  • Learning silhouette features for control of human motion

    Liu Ren;Gregory Shakhnarovich;Jessica K. Hodgins;Hanspeter Pfister

  • Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

    Gregory Shakhnarovich;Trevor Darrell;Piotr Indyk

  • Discriminability objective for training descriptive captions

    Ruotian Luo;Brian Price;Scott Cohen;Gregory Shakhnarovich

  • Inferring 3D Structure with a Statistical Image-Based Shape Model

    Kristen Grauman;Gregory Shakhnarovich;Trevor Darrell

Frequent Co-Authors

Trevor Darrell
Trevor Darrell University of California, Berkeley
Karen Livescu
Karen Livescu Toyota Technological Institute at Chicago
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Paul A. Viola
Paul A. Viola Microsoft (United States)
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
John P. Donoghue
John P. Donoghue Brown University

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

Studying computer science in the USA opens up valuable opportunities in tech-driven fields. Many related disciplines offer online programs, allowing students to study flexibly and affordably from anywhere. Exploring these options can expand your career prospects in STEM and beyond.

For those interested in the intersection of technology and environmental protection, a cheapest online environmental science degree can provide a solid foundation in solving real-world sustainability problems. Similarly, an online degree in mechanical engineering is a great way to gain practical engineering skills for industries like manufacturing, robotics, and aerospace.

If you are drawn to more abstract, analytical pursuits, pursuing an online theoretical physics degree offers training in complex problem-solving valued by employers in tech, finance, and academia.

Meanwhile, for those eager to enter the fast-growing field of analytics and artificial intelligence, consider an affordable data science degree. Each of these related pathways can complement a computer science education or serve as a specialized alternative for your career journey.

Best Scientists Citing Gregory Shakhnarovich

Trending Scientists