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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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09/21/2022
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia
Humans exploit prior knowledge to describe images, and are able to adapt...
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03/09/2022
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
In this work, we propose Text-Degradation Invariant Auto Encoder (Text-D...
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02/25/2022
OCR-IDL: OCR Annotations for Industry Document Library Dataset
Pretraining has proven successful in Document Intelligence tasks where d...
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10/02/2021
Asking questions on handwritten document collections
This work addresses the problem of Question Answering (QA) on handwritte...
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05/11/2021
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
Low resource Handwritten Text Recognition (HTR) is a hard problem due to...
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04/26/2021
InfographicVQA
Infographics are documents designed to effectively communicate informati...
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09/21/2020
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval
Scene text instances found in natural images carry explicit semantic inf...
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07/06/2020
Text Recognition – Real World Data and Where to Find Them
We present a method for exploiting weakly annotated images to improve te...
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07/01/2020
DocVQA: A Dataset for VQA on Document Images
We present a new dataset for Visual Question Answering on document image...
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09/16/2019
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)
This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-S...
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05/31/2019
