Yousri Kessentini — accepted AI-conference papers

2026

ORCA: Orchestrated Reasoning with Collaborative Agents for Document Visual Question Answering

Aymen Lassoued, Mohamed Ali Souibgui, Yousri Kessentini

CVPR 2026

Document Visual Question Answering (DocVQA) remains challenging for existing Vision-Language Models (VLMs), especially under complex reasoning and multi-step workflows. Current approaches struggle to decompose intricate questions into manageable sub-tasks and often fail to leverage specialized proce

Cited by 1 Source ↗code ↗Scholar ↗

2023

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement

Mohamed Ali Souibgui, Sanket Biswas, Andres Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini +3

AAAI 2023technical

In this paper, we propose a Text-Degradation Invariant Auto Encoder (Text-DIAE), a self-supervised model designed to tackle two tasks, text recognition (handwritten or scene-text) and document image enhancement. We start by employing a transformer-based architecture that incorporates three pretext…

Cited by 28 Source ↗PDF ↗code ↗Scholar ↗