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Computer Science

D-Index
54
Citations
13792
World Ranking
4504
National Ranking
2107

Overview

Thomas M. Breuel is affiliated with Nvidia in the United States and has a research focus primarily in the field of Computer Science, evident through 31 publications. Their work broadly covers subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, and Aerospace Engineering.

The scientist's research spans several main topics, which include:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Music and Audio Processing
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization
  • Advanced Vision and Imaging

Thomas M. Breuel has contributed to many publications appearing in multiple venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • International Journal of Computer Vision

Some of their recent academic papers are:

  • "GroupViT: Semantic Segmentation Emerges from Text Supervision," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Adaptive Binarization of Unconstrained Hand-Held Camera-Captured Document Images," 2020, Zenodo (CERN European Organization for Nuclear Research)
  • "Parameter Efficient Multimodal Transformers for Video Representation Learning," 2020, arXiv (Cornell University)
  • "ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Discovering Nonlinear Relations with Minimum Predictive Information Regularization," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with other researchers, including:

  • Jan Kautz
  • Wonmin Byeon
  • Youngjae Yu
  • Gunhee Kim
  • Yale Song

Best Publications

  • Unsupervised Image-to-Image Translation Networks

    Ming-Yu Liu;Thomas M. Breuel;Jan Kautz

  • Large-scale visual sentiment ontology and detectors using adjective noun pairs

    Damian Borth;Rongrong Ji;Tao Chen;Thomas Breuel

  • Personalized search

    James Pitkow;Hinrich Schütze;Todd Cass;Rob Cooley

  • System and method for searching and recommending documents in a collection using shared bookmarks

    Eytan Adar;Thomas M. Breuel;Todd A. Cass;James E. Pitkow

  • Scene labeling with LSTM recurrent neural networks

    Wonmin Byeon;Thomas M. Breuel;Federico Raue;Marcus Liwicki

  • Efficient implementation of local adaptive thresholding techniques using integral images

    Faisal Shafait;Daniel Keysers;Thomas M. Breuel

  • Hand Pose Estimation via Latent 2.5D Heatmap Regression

    Umar Iqbal;Umar Iqbal;Pavlo Molchanov;Thomas M. Breuel;Juergen Gall

  • High-Performance OCR for Printed English and Fraktur Using LSTM Networks

    Thomas M. Breuel;Adnan Ul-Hasan;Mayce Ali Al-Azawi;Faisal Shafait

  • The OCRopus open source OCR system

    Thomas M. Breuel

  • Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms

    F. Shafait;D. Keysers;T.M. Breuel

  • Two Geometric Algorithms for Layout Analysis

    Thomas M. Breuel

  • Automatic classifier selection for non-experts

    Matthias Reif;Faisal Shafait;Markus Goldstein;Thomas Breuel

  • Fast recognition using adaptive subdivisions of transformation space

    T.M. Breuel

  • Deep Learners Benefit More from Out-of-Distribution Examples

    Yoshua Bengio;Frédéric Bastien;Arnaud Bergeron;Nicolas Boulanger-Lewandowski

  • Visual words on baggage X-ray images

    Muhammet Baştan;Mohammad Reza Yousefi;Thomas M. Breuel

  • Document image dewarping using robust estimation of curled text lines

    A. Ulges;C.H. Lampert;T.M. Breuel

  • High Performance Document Layout Analysis

    Thomas M. Breuel

  • Deepdocclassifier: Document classification with deep Convolutional Neural Network

    Muhammad Zeshan Afzal;Samuele Capobianco;Muhammad Imran Malik;Simone Marinai

  • Neural network for keyboard input decoding

    Shumin Zhai;Thomas Breuel;Ouais Alsharif;Yu Ouyang

  • Implementation techniques for geometric branch-and-bound matching methods

    Thomas M. Breuel

Frequent Co-Authors

Faisal Shafait
Faisal Shafait National University of Sciences and Technology
Daniel Keysers
Daniel Keysers Google (United States)
Christoph H. Lampert
Christoph H. Lampert Institute of Science and Technology Austria
Andreas Dengel
Andreas Dengel German Research Centre for Artificial Intelligence
Mark J. Stefik
Mark J. Stefik Palo Alto Research Center
Daniel H. Greene
Daniel H. Greene Palo Alto Research Center
James E. Pitkow
James E. Pitkow Palo Alto Research Center
Jan Kautz
Jan Kautz Nvidia (United States)
Kenneth P. Fishkin
Kenneth P. Fishkin Google (United States)
Eric Saund
Eric Saund IEEE-USA

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