output
20132025
most citedDynamic Multi-Task Learning for Face Recognition with Facial Expression

23 citations

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5 papers · 1 filter

cs.CV2025

RAPTOR: Refined Approach for Product Table Object Recognition

Eliott Thomas, Mickael Coustaty, Aurelie Joseph +4

Extracting tables from documents is a critical task across various industries, especially on business documents like invoices and reports. Existing systems based on DEtection TRans…

cs.CV2025

Scalable Framework for Classifying AI-Generated Content Across Modalities

Anh-Kiet Duong, Petra Gomez-Krämer

The rapid growth of generative AI technologies has heightened the importance of effectively distinguishing between human and AI-generated content, as well as classifying outputs fr…

cs.CV2024

IDTrust: Deep Identity Document Quality Detection with Bandpass Filtering

Musab Al-Ghadi, Joris Voerman, Souhail Bakkali +3

The increasing use of digital technologies and mobile-based registration procedures highlights the vital role of personal identity documents (IDs) in verifying users and safeguardi…

cs.CV2019★ 23 cited

Dynamic Multi-Task Learning for Face Recognition with Facial Expression

Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2

Benefiting from the joint learning of the multiple tasks in the deep multi-task networks, many applications have shown the promising performance comparing to single-task learning.…

cs.CV2013★ 10 cited

Text recognition in both ancient and cartographic documents

Nizar Zaghden, Badreddine Khelifi, Adel M. Alimi +1

This paper deals with the recognition and matching of text in both cartographic maps and ancient documents. The purpose of this work is to find similar text regions based on statis…