World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
12413
World Ranking
3282
National Ranking
1589

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to statistical and signal processing approaches to adversarial and security problems

Overview

Dinei Florencio is a researcher affiliated with Microsoft in the United States. Their work encompasses areas within computer science, with a particular focus on computer vision and pattern recognition, artificial intelligence, and specialized fields involving multimodal machine learning and media technology.

Their recent publications cover a range of topics centered on optical character recognition, multilingual document understanding, and multimodal pre-training approaches. Notable papers include:

  • TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models, 2021, arXiv (Cornell University)
  • XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding, 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding, 2020, arXiv (Cornell University)
  • LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding, 2021, arXiv (Cornell University)

Frequent co-authors collaborating with Dinei Florencio include:

  • Cha Zhang
  • Yijuan Lu
  • Tengchao Lv
  • Furu Wei
  • Guoxin Wang

Florencio's research is regularly published in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Findings of the Association for Computational Linguistics: ACL 2022, and the 2022 26th International Conference on Pattern Recognition (ICPR).

The main scientific domains of their work include:

  • Computer Science

With more detailed subfields reflecting the scope of their studies:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Computer Graphics and Computer-Aided Design

Key research topics addressed by Florencio encompass:

  • Handwritten Text Recognition Techniques
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Image Processing and 3D Reconstruction
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Vehicle License Plate Recognition

In 2016, Florencio was recognized as an IEEE Fellow for contributions to statistical and signal processing approaches related to adversarial and security problems.

Best Publications

  • A large-scale study of web password habits

    Dinei Florencio;Cormac Herley

  • Improved spread spectrum: a new modulation technique for robust watermarking

    H.S. Malvar;D.A.F. Florencio

  • LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

    Yang Xu;Yiheng Xu;Tengchao Lv;Lei Cui

  • Context-based routing in multi-hop networks

    Yunnan Wu;Saumitra M. Das;Ranveer Chandra;Dinei Florencio

  • Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings

    Cha Zhang;D. Florencio;D.E. Ba;Zhengyou Zhang

  • Attack resistant phishing detection

    Dinei A. Florencio;Cormac E. Herley

  • Speech dereverberation via maximum-kurtosis subband adaptive filtering

    B.W. Gillespie;H.S. Malvar;D.A.F. Florencio

  • Noise Reduction Systems and Methods for Voice Applications

    Ankur Varma;Dinei A. Florencio

  • CROWDMOS: An approach for crowdsourcing mean opinion score studies

    Flavio Ribeiro;Dinei Florencio;Cha Zhang;Michael Seltzer

  • Point cloud attribute compression with graph transform

    Cha Zhang;Dinei Florencio;Charles Loop

  • METHOD AND DEVICE FOR INCORPORATING WATERMARK IN BIT STREAM REPRESENTATION OF DIGITAL IMAGE SEQUENCE

    Florencio Dinei A;Isnardi Michael A

  • Where do security policies come from

    Dinei Florêncio;Cormac Herley

  • Decision-based median filter using local signal statistics

    Dinei A. F. Florencio;Ronald W. Schafer

  • An administrator's guide to internet password research

    Dinei Florêncio;Cormac Herley;Paul C. Van Oorschot

  • Do strong web passwords accomplish anything

    Dinei Florêncio;Cormac Herley;Baris Coskun

  • Why does PHAT work well in lownoise, reverberative environments?

    Cha Zhang;D. Florencio;Zhengyou Zhang

  • Method and apparatus for resizing image information

    Shipeng Li;Keren Hu;Dinei Afonso Ferreira Florencio

  • SYSTEM AND METHOD FOR PROVIDING HIGH-QUALITY EXPANSION AND COMPRESSION OF DIGITAL AUDIO SIGNAL

    Florencio Dinei A;Chou Philip A;He Li-Wei

  • Password portfolios and the finite-effort user: sustainably managing large numbers of accounts

    Dinei Florêncio;Cormac Herley;Paul C. Van Oorschot

  • Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks

    Anurag Kumar;Dinei A. F. Florêncio

  • Crowdsourcing subjective image quality evaluation

    Flavio Ribeiro;Dinei Florencio;Vitor Nascimento

Frequent Co-Authors

Cha Zhang
Cha Zhang Microsoft (United States)
Cormac Herley
Cormac Herley Microsoft (United States)
Philip A. Chou
Philip A. Chou Google (United States)
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Gene Cheung
Gene Cheung York University
Yong Rui
Yong Rui Lenovo (China)
Oscar C. Au
Oscar C. Au Hong Kong University of Science and Technology
Henrique S. Malvar
Henrique S. Malvar Microsoft (United States)
Jin Li
Jin Li Microsoft (United States)

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