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20192026
most citedVLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification

1 citations · 2 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

Amnesia by Design, Memory By Necessity: Persistent State for Document Intelligence

Souhail Bakkali, Ayoub Merimi

Modern Document AI reads contracts, extracts fields, reasons over tables, and grounds answers to page regions, then forgets everything. Processing an amendment the next day begins…

cs.CV2025

Evaluating the Impact of Khmer Font Types on Text Recognition

Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2

Text recognition is significantly influenced by font types, especially for complex scripts like Khmer. The variety of Khmer fonts, each with its unique character structure, present…

cs.CV2024

KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark

Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2

Developing effective scene text detection and recognition models hinges on extensive training data, which can be both laborious and costly to obtain, especially for low-resourced l…

cs.CV2024

Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting

Omar Hamed, Souhail Bakkali, Marie-Francine Moens +2

This work addresses the need for a balanced approach between performance and efficiency in scalable production environments for visually-rich document understanding (VDU) tasks. Cu…

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.CV2023

GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification

Souhail Bakkali, Sanket Biswas, Zuheng Ming +4

Visual document understanding (VDU) has rapidly advanced with the development of powerful multi-modal language models. However, these models typically require extensive document pr…

cs.CV2023

EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification

Souhail Bakkali, Ziheng Ming, Mickael Coustaty +1

In the recent past, complex deep neural networks have received huge interest in various document understanding tasks such as document image classification and document retrieval. A…

cs.CV2022★ 1 cited

VLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification

Souhail Bakkali, Zuheng Ming, Mickael Coustaty +2

Multimodal learning from document data has achieved great success lately as it allows to pre-train semantically meaningful features as a prior into a learnable downstream task. In…

cs.CV2019

Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions

Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman +1

Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy a…