2026 Georg Heigold: Computer Science Researcher – H-Index, Publications & Awards

Overview

Georg Heigold is affiliated with the German Research Centre for Artificial Intelligence in Germany. Their research primarily spans the field of computer science, with a focus on subfields such as computer vision and pattern recognition as well as artificial intelligence.

The scientist's work covers several main topics, including:

Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Advanced Neural Network Applications
Multimodal Machine Learning Applications
Human Pose and Action Recognition
Anomaly Detection Techniques and Applications
Adversarial Robustness in Machine Learning

Georg Heigold has contributed to multiple research publications. Selected recent papers include:

"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale" (2020), published in arXiv (Cornell University)
"Object-Centric Learning with Slot Attention" (2020), published in arXiv (Cornell University)
"ViViT: A Video Vision Transformer" (2021), published at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Conditional Object-Centric Learning from Video" (2021), published in arXiv (Cornell University)
"Video OWL-ViT: Temporally-consistent open-world localization in video" (2023), published in arXiv (Cornell University)

The frequent coauthors with whom Georg Heigold has collaborated include:

Alexey Dosovitskiy
Thomas Kipf
Mostafa Dehghani
Mario Lučić
Dirk Weissenborn

The main venues where Georg Heigold's work has been published are:

arXiv (Cornell University)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Alexey Dosovitskiy;Lucas Beyer;Alexander Kolesnikov;Dirk Weissenborn

21436
Citations
End-to-end text-dependent speaker verification

Georg Heigold;Ignacio Moreno;Samy Bengio;Noam Shazeer

696
Citations
Small-footprint keyword spotting using deep neural networks

Guoguo Chen;Carolina Parada;Georg Heigold

577
Citations
Multilingual acoustic models using distributed deep neural networks

G. Heigold;V. Vanhoucke;A. Senior;P. Nguyen

374
Citations
Object-Centric Learning with Slot Attention

Francesco Locatello;Dirk Weissenborn;Thomas Unterthiner;Aravindh Mahendran

294
Citations
An empirical study of learning rates in deep neural networks for speech recognition

Andrew Senior;Georg Heigold;Marc'Aurelio Ranzato;Ke Yang

187
Citations
Word Embeddings for Speech Recognition

Samy Bengio;Georg Heigold

173
Citations
Sequence Discriminative Distributed Training of Long Short-Term Memory Recurrent Neural Networks

Hasim Sak;Oriol Vinyals;Georg Heigold;Andrew W. Senior

167
Citations
The RWTH aachen university open source speech recognition system.

David Rybach;Christian Gollan;Georg Heigold;Björn Hoffmeister

138
Citations
ViViT: A Video Vision Transformer

Anurag Arnab;Mostafa Dehghani;Georg Heigold;Chen Sun

94
Citations
The RWTH 2007 TC-STAR evaluation system for european English and Spanish.

Jonas Lööf;Christian Gollan;Stefan Hahn;Georg Heigold

81
Citations
Asynchronous stochastic optimization for sequence training of deep neural networks

Georg Heigold;Erik McDermott;Vincent Vanhoucke;Andrew W. Senior

78
Citations
A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines

Aljoscha Burchardt;Vivien Macketanz;Jon Dehdari;Georg Heigold

75
Citations
Modified MMI/MPE: a direct evaluation of the margin in speech recognition

Georg Heigold;Thomas Deselaers;Ralf Schlüter;Hermann Ney

67
Citations
Multiframe deep neural networks for acoustic modeling

Vincent Vanhoucke;Matthieu Devin;Georg Heigold

63
Citations
A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture

Ehsan Variani;Erik McDermott;Georg Heigold

54
Citations
Cross-lingual Character-Level Neural Morphological Tagging

Ryan Cotterell;Georg Heigold

44
Citations
Asynchronous Stochastic Optimization for Sequence Training of Deep Neural Networks: Towards Big Data

Erik McDermott;Georg Heigold;Pedro J. Moreno;Andrew W. Senior

9
Citations
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?

Georg Heigold;Günter Neumann;Josef van Genabith

7
Citations
The RWTH 2007 TC-STAR Evaluation System for

Ch . Gollan;S. Hahn;G. Heigold;B. Hoffmeister

2
Citations

Frequent Co-Authors

Hermann Ney RWTH Aachen University

Ralf Schlüter RWTH Aachen University

Andrew W. Senior Google (United States)

Vincent Vanhoucke Google (United States)

Samy Bengio Apple (United States)

Michiel Bacchiani Google (United States)

Patrick Nguyen Google (United States)

Thomas Deselaers Apple (United States)

Josef van Genabith Saarland University

Alexey Dosovitskiy Google (United States)

External Links

Personal website of Georg Heigold

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