2026 George Toderici: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	31	13319	12921	5326	5072	67	19635

Overview

George Toderici is affiliated with Google in the United States. Their research primarily spans the field of Computer Science with a strong focus on Computer Vision and Pattern Recognition. They also contribute to subfields such as Computational Mechanics, Computer Graphics and Computer-Aided Design, and Artificial Intelligence.

The main topics covered in George Toderici's work include:

Advanced Image Processing Techniques
Image and Signal Denoising Methods
Generative Adversarial Networks and Image Synthesis
Advanced Data Compression Techniques
Computer Graphics and Visualization Techniques
Advanced Vision and Imaging
3D Shape Modeling and Analysis

George Toderici has published extensively in several venues, with a particular focus on arXiv (Cornell University), where they have at least seven publications. Other venues include Frontiers in Signal Processing, IEEE Journal of Selected Topics in Signal Processing, and TIB Data Manager.

Selected recent papers by George Toderici include:

High-Fidelity Generative Image Compression, 2020, arXiv (Cornell University)
High-Fidelity Generative Image Compression, 2024, TIB Data Manager
VCT: A Video Compression Transformer, 2022, arXiv (Cornell University)
LVAC: Learned volumetric attribute compression for point clouds using coordinate based networks, 2022, Frontiers in Signal Processing
High-Fidelity Image Compression with Score-based Generative Models, 2023, arXiv (Cornell University)

They have frequently collaborated with several researchers, including:

Eirikur Agustsson
Fabian Mentzer
David Minnen
Nick Johnston
Johannes Ballé

Best Publications

Large-Scale Video Classification with Convolutional Neural Networks

Andrej Karpathy;George Toderici;Sanketh Shetty;Thomas Leung

8011
Citations
Beyond short snippets: Deep networks for video classification

Joe Yue-Hei Ng;Matthew Hausknecht;Sudheendra Vijayanarasimhan;Oriol Vinyals

2759
Citations
Large-scale Video Classiﬁcation with Convolutional Neural Networks

Andrej Karpathy;George Toderici;Sanketh Shetty;Thomas Leung

2077
Citations
YouTube-8M: A Large-Scale Video Classification Benchmark

Sami Abu-El-Haija;Nisarg Kothari;Joonseok Lee;Apostol (Paul) Natsev

1116
Citations
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions

Chunhui Gu;Chen Sun;David A. Ross;Carl Vondrick

1013
Citations
Full Resolution Image Compression with Recurrent Neural Networks

George Toderici;Damien Vincent;Nick Johnston;Sung Jin Hwang

893
Citations
Joint autoregressive and hierarchical priors for learned image compression

David Minnen;Johannes Ballé;George Toderici

826
Citations
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach

I.A. Kakadiaris;G. Passalis;G. Toderici;M.N. Murtuza

607
Citations
Joint Autoregressive and Hierarchical Priors for Learned Image Compression

David Minnen;Johannes Ballé;George Toderici

436
Citations
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks

Nick Johnston;Damien Vincent;David Minnen;Michele Covell

395
Citations
Beyond Short Snippets: Deep Networks for Video Classification

Joe Yue-Hei Ng;Matthew Hausknecht;Sudheendra Vijayanarasimhan;Oriol Vinyals

394
Citations
Variable Rate Image Compression with Recurrent Neural Networks

George Toderici;Sean M. O'Malley;Sung Jin Hwang;Damien Vincent

377
Citations
Scale-Space Flow for End-to-End Optimized Video Compression

Eirikur Agustsson;David Minnen;Nick Johnston;Johannes Balle

271
Citations
High-Fidelity Generative Image Compression

Fabian Mentzer;George D. Toderici;Michael Tschannen;Eirikur Agustsson

206
Citations
High-Fidelity Generative Image Compression

Fabian Mentzer;George Toderici;Michael Tschannen;Eirikur Agustsson

175
Citations
Nonlinear Transform Coding

Johannes Balle;Philip A. Chou;David Minnen;Saurabh Singh

147
Citations
Finding meaning on YouTube: Tag recommendation and category discovery

George Toderici;Hrishikesh Aradhye;Marius Pasca;Luciano Sbaiz

147
Citations
Evaluation of 3D Face Recognition in the presence of facial expressions: an Annotated Deformable Model approach

G. Passalis;I.A. Kakadiaris;T. Theoharis;G. Toderici

139
Citations
Variable Rate Image Compression with Recurrent Neural Networks

George Toderici;Sean M. O'Malley;Sung Jin Hwang;Damien Vincent

121
Citations
Unified 3D face and ear recognition using wavelets on geometry images

Theoharis Theoharis;Georgios Passalis;George Toderici;Ioannis A. Kakadiaris

106
Citations
Video2Text: Learning to Annotate Video Content

Hrishikesh Aradhye;George Toderici;Jay Yagnik

91
Citations
An automated method for human face modeling and relighting with application to face recognition

Ioannis A. Kakadiaris;George Toderici;Theoharis Theoharis;Georgios Passalis

90
Citations
3D-2D face recognition with pose and illumination normalization

Ioannis A. Kakadiaris;George Toderici;Georgios Evangelopoulos;Georgios Passalis

85
Citations
Multimodal face recognition: combination of geometry with physiological information

I.A. Kakadiaris;G. Passalis;T. Theoharis;G. Toderici

77
Citations
Discriminative tag learning on YouTube videos with latent sub-tags

Weilong Yang;George Toderici

72
Citations

Frequent Co-Authors

Ioannis A. Kakadiaris University of Houston

Theoharis Theoharis Norwegian University of Science and Technology

Michele Covell Google (United States)

Rahul Sukthankar Google (United States)

Apostol Natsev Google (United States)

Jitendra Malik University of California, Berkeley

Abhinav Shrivastava University of Maryland, College Park

Oriol Vinyals DeepMind (United Kingdom)

Philip A. Chou Google (United States)

Caroline Pantofaru Google (United States)

External Links

Personal website of George Toderici

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