24 citations · 25 across the 14 of their papers we have counts for
16 papers
ProAct-VLM: Pre-Failure Vision-Language Task Replanning with Continuous Perception Feedback
Ahmed Nader Ahmed, Omar Moured, Mughni Irfan Mohammed Abdul +2
Long-horizon robotic tasks are vulnerable to unexpected environmental changes that can render planned actions ineffective or unsafe. To address this, robots must detect such change…
Mind the Gaps: A Curated Benchmark for Form Field Detection
Iheb Brini, Omar Moured, Hamza Gbada +1
Form Field Detection (FFD) is a fundamental component of document understanding systems, enabling applications ranging from large-scale industrial digitization to accessible form i…
Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting
Amritansh Maurya, Navjot Singh, Mohammed Javed +1
Large Language Models (LLMs) have shown promising results on NLP tasks, however, their performance on tabular data still needs research attention, because Table Question-Answering…
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
Adriana Aida, Walid Amer, Katarina Bankovic +25
Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demon…
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…
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…
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…
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…
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…
ACCSAMS: Automatic Conversion of Exam Documents to Accessible Learning Material for Blind and Visually Impaired
David Wilkening, Omar Moured, Thorsten Schwarz +2
Exam documents are essential educational materials for exam preparation. However, they pose a significant academic barrier for blind and visually impaired students, as they are oft…
ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs
Omar Moured, Sara Alzalabny, Anas Osman +3
Visualizations, such as charts, are crucial for interpreting complex data. However, they are often provided as raster images, which are not compatible with assistive technologies f…
Alt4Blind: A User Interface to Simplify Charts Alt-Text Creation
Omar Moured, Shahid Ali Farooqui, Karin Muller +4
Alternative Texts (Alt-Text) for chart images are essential for making graphics accessible to people with blindness and visual impairments. Traditionally, Alt-Text is manually writ…
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…
Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion
Omar Moured, Morris Baumgarten-Egemole, Alina Roitberg +3
In a world driven by data visualization, ensuring the inclusive accessibility of charts for Blind and Visually Impaired (BVI) individuals remains a significant challenge. Charts ar…
Line Graphics Digitization: A Step Towards Full Automation
Omar Moured, Jiaming Zhang, Alina Roitberg +2
The digitization of documents allows for wider accessibility and reproducibility. While automatic digitization of document layout and text content has been a long-standing focus of…
Application of the Neural Network Dependability Kit in Real-World Environments
Amit Sahu, Noelia Vállez, Rosana Rodríguez-Bobada +3
In this paper, we provide a guideline for using the Neural Network Dependability Kit (NNDK) during the development process of NN models, and show how the algorithm is applied in tw…