4 citations · 6 across the 27 of their papers we have counts for
13 papers · 1 filter
Program-Verified Self-Evolution for Vision-Language Models
Ahmed Heakl, Sungik Choi, Moontae Lee +1
Self-evolving vision-language models train on questions they generate from unlabeled images. Since these questions have no gold answers, prior methods label them by majority vote o…
WorldCache: Content-Aware Caching for Accelerated Video World Models
Umair Nawaz, Ahmed Heakl, Ufaq Khan +3
Diffusion Transformers (DiTs) power high-fidelity video world models but remain computationally expensive due to sequential denoising and costly spatio-temporal attention. Training…
Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device
Abdelrahman Shaker, Ahmed Heakl, Jaseel Muhammad +8
Unified multimodal models can both understand and generate visual content within a single architecture. Existing models, however, remain data-hungry and too heavy for deployment on…
How Good are Foundation Models in Step-by-Step Embodied Reasoning?
Dinura Dissanayake, Ahmed Heakl, Omkar Thawakar +9
Embodied agents operating in the physical world must make decisions that are not only effective but also safe, spatially coherent, and grounded in context. While recent advances in…
VideoMolmo: Spatio-Temporal Grounding Meets Pointing
Ghazi Shazan Ahmad, Ahmed Heakl, Hanan Gani +4
Spatio-temporal localization is vital for precise interactions across diverse domains, from biological research to autonomous navigation and interactive interfaces. Current video-b…
AIN: The Arabic INclusive Large Multimodal Model
Ahmed Heakl, Sara Ghaboura, Omkar Thawkar +4
Amid the swift progress of large language models (LLMs) and their evolution into large multimodal models (LMMs), significant strides have been made in high-resource languages such…
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding
Ahmed Heakl, Abdullah Sohail, Mukul Ranjan +7
With the growing adoption of Retrieval-Augmented Generation (RAG) in document processing, robust text recognition has become increasingly critical for knowledge extraction. While O…
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Omkar Thawakar, Dinura Dissanayake, Ketan More +12
Reasoning is a fundamental capability for solving complex multi-step problems, particularly in visual contexts where sequential step-wise understanding is essential. Existing appro…
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
Sara Ghaboura, Ahmed Heakl, Omkar Thawakar +7
Recent years have witnessed a significant interest in developing large multimodal models (LMMs) capable of performing various visual reasoning and understanding tasks. This has led…
Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
Rania Hossam, Ahmed Heakl, Walid Gomaa
Traditional fish farming practices often lead to inefficient feeding, resulting in environmental issues and reduced productivity. We developed an innovative system combining comput…
DroneVis: Versatile Computer Vision Library for Drones
Ahmed Heakl, Fatma Youssef, Victor Parque +1
This paper introduces DroneVis, a novel library designed to automate computer vision algorithms on Parrot drones. DroneVis offers a versatile set of features and provides a diverse…
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach
Mazen Balat, Youssef Mohamed, Ahmed Heakl +1
This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures…
Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning
Youssef Mohamed, Zeyad Youssef, Ahmed Heakl +1
Biometric identification is a reliable method to verify individuals based on their unique physical or behavioral traits, offering a secure alternative to traditional methods like p…