Michal Hradiš

Michal Hradiš

Vysoké ucení technické v Brne

H-index: 17

Europe-Czech Republic

About Michal Hradiš

Michal Hradiš, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at Vysoké ucení technické v Brne, specializes in the field of Computer Vision, Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Self-supervised Pre-training of Text Recognizers

SoftCTC—semi-supervised learning for text recognition using soft pseudo-labels

Towards Writing Style Adaptation in Handwriting Recognition

Fine-Tuning is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition

Importance of textlines in historical document classification

: text-guided transformer GAN for restoring document readability and perceived quality

AT-ST: self-training adaptation strategy for OCR in domains with limited transcriptions

Evaluating the multilingual capabilities of the OCCAM workflow: a case of digitised historical newspapers

Michal Hradiš Information

University

Position

___

Citations(all)

1441

Citations(since 2020)

825

Cited By

967

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

29

i10Index(since 2020)

16

Email

University Profile Page

Vysoké ucení technické v Brne

Google Scholar

View Google Scholar Profile

Michal Hradiš Skills & Research Interests

Computer Vision

Pattern Recognition

Top articles of Michal Hradiš

Title

Journal

Author(s)

Publication Date

Self-supervised Pre-training of Text Recognizers

arXiv preprint arXiv:2405.00420

Martin Kišš

Michal Hradiš

2024/5/1

SoftCTC—semi-supervised learning for text recognition using soft pseudo-labels

International Journal on Document Analysis and Recognition (IJDAR)

Martin Kišš

Michal Hradiš

Karel Beneš

Petr Buchal

Michal Kula

2023/10/6

Towards Writing Style Adaptation in Handwriting Recognition

Jan Kohút

Michal Hradiš

Martin Kišš

2023/8/19

Fine-Tuning is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition

Jan Kohút

Michal Hradiš

2023/8/19

Importance of textlines in historical document classification

Martin Kišš

Jan Kohút

Karel Beneš

Michal Hradiš

2022/5/18

: text-guided transformer GAN for restoring document readability and perceived quality

International Journal on Document Analysis and Recognition (IJDAR)

Oldřich Kodym

Michal Hradiš

2022/3

AT-ST: self-training adaptation strategy for OCR in domains with limited transcriptions

Martin Kišš

Karel Beneš

Michal Hradiš

2021/9/2

Evaluating the multilingual capabilities of the OCCAM workflow: a case of digitised historical newspapers

Julie M Birkholz

Sally Chambers

Michal Hradis

Pavel Smrz

2021

TS-Net: OCR trained to switch between text transcription styles

Jan Kohút

Michal Hradiš

2021

Page layout analysis system for unconstrained historic documents

Oldřich Kodym

Michal Hradiš

2021

Fire segmentation in still images

Jozef Mlích

Karel Koplík

Michal Hradiš

Pavel Zemčík

2020/2/6

Perceptual license plate super-resolution with CTC loss

Electronic Imaging

Zuzana Bílková

Michal Hradiš

2020/1/26

Capturing Fonts in the Wild

Martin Kolár

Michal Hradiš

Pavel Zemcík

2020

OCR, Classification& Machine Translation (OCCAM)

Joachim Van den Bogaert

Arne Defauw

Frederic Everaert

Koen Van Winckel

Alina Kramchaninova

...

2020/11

See List of Professors in Michal Hradiš University(Vysoké ucení technické v Brne)

Co-Authors

H-index: 29
Adam Herout

Adam Herout

Vysoké ucení technické v Brne

H-index: 23
Pavel Zemcik

Pavel Zemcik

Vysoké ucení technické v Brne

H-index: 18
shahram eivazi

shahram eivazi

Eberhard Karls Universität Tübingen

H-index: 15
Roman Juránek

Roman Juránek

Vysoké ucení technické v Brne

H-index: 15
Jiří Havel

Jiří Havel

Vysoké ucení technické v Brne

H-index: 10
Ondřej Poláček

Ondřej Poláček

Ceské vysoké ucení technické v Praze

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