9 citations · 9 across the 5 of their papers we have counts for
8 papers
Towards Hierarchical Structure Understanding of Newspaper Images
William Mocaër, Solène Tarride, Thomas Constum +7
Understanding newspaper images remains a challenging task due to their complex, nested hierarchical structures and dense, heterogeneous layouts. In this paper, we explore two compl…
FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers
Laziz Hamdi, Amine Tamasna, Pascal Boisson +1
Table structure recognition (TSR) requires both table-level coherence (row/column counts, headers, spanning cells) and precise separator localization. We introduce FastTab, a grid-…
DenTab: A Dataset for Table Recognition and Visual QA on Real-World Dental Estimates
Laziz Hamdi, Amine Tamasna, Thierry Paquet
Tables condense key transactional and administrative information into compact layouts, but practical extraction requires more than text recognition: systems must also recover struc…
TableSeq: Unified Generation of Structure, Content, and Layout
Laziz Hamdi, Amine Tamasna, Pascal Boisson +1
We present TableSeq, an image-only, end-to-end framework for joint table structure recognition, content recognition, and cell localization. The model formulates these tasks as a si…
Classifying the Unknown: In-Context Learning for Open-Vocabulary Text and Symbol Recognition
Tom Simon, William Mocaer, Pierrick Tranouez +2
We introduce Rosetta, a multimodal model that leverages Multimodal In-Context Learning (MICL) to classify sequences of novel script patterns in documents by leveraging minimal exam…
PILOT: A Promptable Interleaved Layout-aware OCR Transformer
Laziz Hamdi, Amine Tamasna, Pascal Boisson +1
Classical OCR pipelines decompose document reading into detection, segmentation, and recognition stages, which makes them sensitive to localization errors and difficult to extend t…
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents
Thomas Constum, Pierrick Tranouez, Thierry Paquet
Information extraction from handwritten documents involves traditionally three distinct steps: Document Layout Analysis, Handwritten Text Recognition, and Named Entity Recognition.…
End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940
Thomas Constum, Lucas Preel, Théo Larcher +3
The EXO-POPP project aims to establish a comprehensive database comprising 300,000 marriage records from Paris and its suburbs, spanning the years 1880 to 1940, which are preserved…