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Computer Science

D-Index
34
Citations
7905
World Ranking
11941
National Ranking
210

Overview

Dimosthenis Karatzas is affiliated with the Autonomous University of Barcelona in Spain. Their research primarily focuses on the field of Computer Science, with specific contributions to Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields.

Their recent publications include a variety of works spanning topics like visual question answering, multimodal transformers, and image captioning. Notable papers are:

  • InfographicVQA, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Hierarchical multimodal transformers for Multipage DocVQA, 2023, Pattern Recognition
  • Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Real-time Lexicon-free Scene Text Retrieval, 2020, Pattern Recognition

Frequent collaborators in Dimosthenis Karatzas' work include Ernest Valveny, Lluís Gómez, Ali Furkan Biten, Rubèn Tito, and C. V. Jawahar, indicating ongoing research partnerships in related domains.

Their publication record shows repeated contributions to several key venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Pattern Recognition
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science

Dimosthenis Karatzas has produced research work that touches on multiple specialized topics within computer science:

  • Multimodal Machine Learning Applications
  • Handwritten Text Recognition Techniques
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • Natural Language Processing Techniques
  • Video Analysis and Summarization
  • Domain Adaptation and Few-Shot Learning

This combination of areas reflects a focus on integrating machine learning approaches with vision and language data, as well as working on improving recognition, retrieval, and summarization technologies.

Best Publications

  • ICDAR 2015 competition on Robust Reading

    Dimosthenis Karatzas;Lluis Gomez-Bigorda;Anguelos Nicolaou;Suman Ghosh

  • ICDAR 2013 Robust Reading Competition

    Dimosthenis Karatzas;Faisal Shafait;Seiichi Uchida;Masakazu Iwamura

  • ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT

    Nibal Nayef;Fei Yin;Imen Bizid;Hyunsoo Choi

  • DocVQA: A Dataset for VQA on Document Images

    Minesh Mathew;Dimosthenis Karatzas;C. V. Jawahar

  • ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

    Zheng Huang;Kai Chen;Jianhua He;Xiang Bai

  • ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019

    Nibal Nayef;Cheng-lin Liu;Jean-Marc Ogier;Yash Patel

  • ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT

    Chee Kheng Chng;Errui Ding;Jingtuo Liu;Dimosthenis Karatzas

  • Exploring Hate Speech Detection in Multimodal Publications

    Raul Gomez;Jaume Gibert;Lluis Gomez;Dimosthenis Karatzas

  • ICDAR 2011 Robust Reading Competition - Challenge 1: Reading Text in Born-Digital Images (Web and Email)

    D. Karatzas;S. Robles Mestre;J. Mas;F. Nourbakhsh

  • InfographicVQA

    Unknown

  • ICDAR 2019 Competition on Large-Scale Street View Text with Partial Labeling - RRC-LSVT

    Yipeng Sun;Dimosthenis Karatzas;Chee Seng Chan;Lianwen Jin

  • Good News, Everyone! Context Driven Entity-Aware Captioning for News Images

    Ali Furkan Biten;Lluis Gomez;Marcal Rusinol;Dimosthenis Karatzas

  • TextProposals: A text-specific selective search algorithm for word spotting in the wild

    Lluís Gómez;Dimosthenis Karatzas

  • Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces

    Lluis Gomez;Yash Patel;Marcal Rusinol;Dimosthenis Karatzas

  • ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard

    Rui Zhang;Mingkun Yang;Xiang Bai;Baoguang Shi

  • Multi-script Text Extraction from Natural Scenes

    Unknown

  • Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems

    Mathieu Delalandre;Ernest Valveny;Tony Pridmore;Dimosthenis Karatzas

  • Improving patch-based scene text script identification with ensembles of conjoined networks

    Lluis Gomez;Anguelos Nicolaou;Dimosthenis Karatzas

  • Document image analysis for World War II personal records

    A. Antonacopoulos;D. Karatzas

  • MSER-Based Real-Time Text Detection and Tracking

    Unknown

  • Sparse radial sampling LBP for writer identification

    Anguelos Nicolaou;Andrew D. Bagdanov;Marcus Liwicki;Dimosthenis Karatzas

  • Colour text segmentation in web images based on human perception

    D. Karatzas;A. Antonacopoulos

  • Knowledge-driven understanding of images in comic books

    Christophe Rigaud;Clément Guérin;Dimosthenis Karatzas;Jean-Christophe Burie

  • ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019

    Nibal Nayef;Yash Patel;Michal Busta;Pinaki Nath Chowdhury

Frequent Co-Authors

C. V. Jawahar
C. V. Jawahar International Institute of Information Technology, Hyderabad
Andrew D. Bagdanov
Andrew D. Bagdanov University of Florence
Josep Lladós
Josep Lladós Autonomous University of Barcelona
Errui Ding
Errui Ding Baidu (China)
Jiri Matas
Jiri Matas Czech Technical University in Prague
Lianwen Jin
Lianwen Jin South China University of Technology
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Shijian Lu
Shijian Lu Nanyang Technological University
Neil M. White
Neil M. White University of Southampton
Nicu Sebe
Nicu Sebe University of Trento

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