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Document Analysis and Recognition – ICDAR 2021

Overview of attention for book
Document Analysis and Recognition – ICDAR 2021
Springer International Publishing
Attention for Chapter: C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis
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3 X users

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9 Mendeley
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Chapter title
C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis
Book title
Document Analysis and Recognition – ICDAR 2021
Published by
Springer, Cham, September 2021
DOI 10.1007/978-3-030-86331-9_11
Book ISBNs
978-3-03-086330-2, 978-3-03-086331-9
Authors

Gupta, Vaibhavi, Detani, Vinay, Khokar, Vivek, Chattopadhyay, Chiranjoy

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 11%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Computer Science 3 33%
Medicine and Dentistry 1 11%
Unknown 5 56%