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Robust PDF Document Conversion Using Recurrent Neural Networks

Robust PDF Document Conversion Using Recurrent Neural Networks

AAAI Conference on Artificial Intelligence (AAAI), 2021
18 February 2021
Nikolaos Livathinos
Cesar Berrospi
Maksym Lysak
Viktor Kuropiatnyk
Ahmed Nassar
A. Carvalho
Michele Dolfi
Christoph Auer
K. Dinkla
Peter W. J. Staar
ArXiv (abs)PDFHTML

Papers citing "Robust PDF Document Conversion Using Recurrent Neural Networks"

9 / 9 papers shown
Complete Evasion, Zero Modification: PDF Attacks on AI Text Detection
Complete Evasion, Zero Modification: PDF Attacks on AI Text Detection
Aldan Creo
AAML
68
2
0
03 Aug 2025
MaterioMiner -- An ontology-based text mining dataset for extraction of
  process-structure-property entities
MaterioMiner -- An ontology-based text mining dataset for extraction of process-structure-property entities
Ali Riza Durmaz
Akhil Thomas
Lokesh Mishra
Rachana Niranjan Murthy
Thomas Straub
172
2
0
05 Aug 2024
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate
  Documents
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate DocumentsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Christoph Auer
A. Nassar
Maksym Lysak
Michele Dolfi
Nikolaos Livathinos
Peter W. J. Staar
OOD3DV
155
7
0
24 May 2023
Optimized Table Tokenization for Table Structure Recognition
Optimized Table Tokenization for Table Structure RecognitionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Maksym Lysak
Ahmed Nassar
Nikolaos Livathinos
Christoph Auer
Peter W. J. Staar
LMTD
237
19
0
05 May 2023
FETA: Towards Specializing Foundation Models for Expert Task
  Applications
FETA: Towards Specializing Foundation Models for Expert Task Applications
Amit Alfassy
Assaf Arbelle
Oshri Halimi
Sivan Harary
Roei Herzig
...
Christoph Auer
Kate Saenko
Peter W. J. Staar
Rogerio Feris
Leonid Karlinsky
252
20
0
08 Sep 2022
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
DocLayNet: A Large Human-Annotated Dataset for Document-Layout AnalysisKnowledge Discovery and Data Mining (KDD), 2022
B. Pfitzmann
Christoph Auer
Michele Dolfi
A. Nassar
Peter W. J. Staar
205
141
0
02 Jun 2022
Delivering Document Conversion as a Cloud Service with High Throughput
  and Responsiveness
Delivering Document Conversion as a Cloud Service with High Throughput and ResponsivenessIEEE International Conference on Cloud Computing (CLOUD), 2022
Christoph Auer
Michele Dolfi
A. Carvalho
Cesar Berrospi Ramis
P. W. J. S. I. Research
189
10
0
01 Jun 2022
TableFormer: Table Structure Understanding with Transformers
TableFormer: Table Structure Understanding with TransformersComputer Vision and Pattern Recognition (CVPR), 2022
A. Nassar
Nikolaos Livathinos
Maksym Lysak
Peter W. J. Staar
LMTDViT
343
113
0
02 Mar 2022
VILA: Improving Structured Content Extraction from Scientific PDFs Using
  Visual Layout Groups
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout GroupsTransactions of the Association for Computational Linguistics (TACL), 2021
Zejiang Shen
Kyle Lo
Lucy Lu Wang
Bailey Kuehl
Daniel S. Weld
Doug Downey
VLM
279
42
0
01 Jun 2021
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