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20242026
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cs.CV2026

AltChart: Enhancing VLM-based Chart Summarization Through Multi-Pretext Tasks

Omar Moured, Jiaming Zhang, M. Saquib Sarfraz +1

Chart summarization is a crucial task for blind and visually impaired individuals as it is their primary means of accessing and interpreting graphical data. Crafting high-quality d…

cs.CV2025

HybriDLA: Hybrid Generation for Document Layout Analysis

Yufan Chen, Omar Moured, Ruiping Liu +4

Conventional document layout analysis (DLA) traditionally depends on empirical priors or a fixed set of learnable queries executed in a single forward pass. While sufficient for ea…

cs.CV2025

TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection

Abdulkarim Atrash, Omar Moured, Yufan Chen +3

Infrared small target detection (IRSTD) is critical for defense and surveillance but remains challenging due to (1) target loss from minimal features, (2) false alarms in cluttered…

cs.CV2025

RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning

Alexander Vogel, Omar Moured, Yufan Chen +2

Recently, Vision Language Models (VLMs) have increasingly emphasized document visual grounding to achieve better human-computer interaction, accessibility, and detailed understandi…

cs.CV2025

SFDLA: Source-Free Document Layout Analysis

Sebastian Tewes, Yufan Chen, Omar Moured +2

Document Layout Analysis (DLA) is a fundamental task in document understanding. However, existing DLA and adaptation methods often require access to large-scale source data and tar…

cs.CV2025

CHAOS: Chart Analysis with Outlier Samples

Omar Moured, Yufan Chen, Ruiping Liu +4

Charts play a critical role in data analysis and visualization, yet real-world applications often present charts with challenging or noisy features. However, "outlier charts" pose…