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20212025
most citedMachine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats

154 citations · 292 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images

Bin Xiao, Murat Simsek, Burak Kantarci +1

Table Structure Recognition (TSR) is a widely discussed task aiming at transforming unstructured table images into structured formats, such as HTML sequences, to make text-only mod…

cs.CV2023★ 12 cited

Table Detection for Visually Rich Document Images

Bin Xiao, Murat Simsek, Burak Kantarci +1

Table Detection (TD) is a fundamental task to enable visually rich document understanding, which requires the model to extract information without information loss. However, popula…

cs.CV2022

Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition

Bin Xiao, Yakup Akkaya, Murat Simsek +2

The global Information and Communications Technology (ICT) supply chain is a complex network consisting of all types of participants. It is often formulated as a Social Network to…

cs.CV2022★ 3 cited

Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach

Bin Xiao, Murat Simsek, Burak Kantarci +1

Due to the characteristics of Information and Communications Technology (ICT) products, the critical information of ICT devices is often summarized in big tabular data shared acros…

cs.CV2022★ 9 cited

Table Structure Recognition with Conditional Attention

Bin Xiao, Murat Simsek, Burak Kantarci +1

Tabular data in digital documents is widely used to express compact and important information for readers. However, it is challenging to parse tables from unstructured digital docu…

cs.CV2021★ 1 cited

On Cropped versus Uncropped Training Sets in Tabular Structure Detection

Yakup Akkaya, Murat Simsek, Burak Kantarci +1

Automated document processing for tabular information extraction is highly desired in many organizations, from industry to government. Prior works have addressed this problem under…