End-to-end semi-supervised approach with modulated object queries for table detection in documents

I Ehsan, T Shehzadi, D Stricker, MZ Afzal - International Journal on …, 2024 - Springer
Table detection, a pivotal task in document analysis, aims to precisely recognize and locate
tables within document images. Although deep learning has shown remarkable progress in …

Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer

T Shehzadi, S Sarode, D Stricker, MZ Afzal - arXiv preprint arXiv …, 2024 - arxiv.org
Table detection within document images is a crucial task in document processing, involving
the identification and localization of tables. Recent strides in deep learning have …

A hybrid approach for document layout analysis in document images

T Shehzadi, D Stricker, MZ Afzal - arXiv preprint arXiv:2404.17888, 2024 - arxiv.org
Document layout analysis involves understanding the arrangement of elements within a
document. This paper navigates the complexities of understanding various elements within …

UnSupDLA: Towards Unsupervised Document Layout Analysis

TU Sheikh, T Shehzadi, KA Hashmi, D Stricker… - arXiv preprint arXiv …, 2024 - arxiv.org
Document layout analysis is a key area in document research, involving techniques like text
mining and visual analysis. Despite various methods developed to tackle layout analysis, a …

Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification

MSU Khan, T Shehzadi, R Noor, D Stricker… - arXiv preprint arXiv …, 2024 - arxiv.org
Automated signature verification on bank checks is critical for fraud prevention and ensuring
transaction authenticity. This task is challenging due to the coexistence of signatures with …