1 citations · 1 across the 4 of their papers we have counts for
8 papers
CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir Allocation
Wassim Swaileh, Mohammed-En-Nadhir Zighem, Hichem Telli +4
Islamic inheritance (Ilm al-Mawarith) is a multi-stage legal reasoning task requiring the identification of eligible heirs, resolution of blocking rules (hajb), assignment of fixed…
ReWind: Understanding Long Videos with Instructed Learnable Memory
Anxhelo Diko, Tinghuai Wang, Wassim Swaileh +2
Vision-Language Models (VLMs) are crucial for applications requiring integrated understanding textual and visual information. However, existing VLMs struggle with long videos due t…
Versailles-FP dataset: Wall Detection in Ancient
Wassim Swaileh, Dimitrios Kotzinos, Suman Ghosh +3
Access to historical monuments' floor plans over a time period is necessary to understand the architectural evolution and history. Such knowledge bases also helps to rebuild the hi…
Towards Speeding up Adversarial Training in Latent Spaces
Yaguan Qian, Qiqi Shao, Tengteng Yao +5
Adversarial training is wildly considered as one of the most effective way to defend against adversarial examples. However, existing adversarial training methods consume unbearable…
TEAM: We Need More Powerful Adversarial Examples for DNNs
Yaguan Qian, Ximin Zhang, Bin Wang +4
Although deep neural networks (DNNs) have achieved success in many application fields, it is still vulnerable to imperceptible adversarial examples that can lead to misclassificati…
TEAM: An Taylor Expansion-Based Method for Generating Adversarial Examples
Ya-guan Qian, Xi-Ming Zhang, Wassim Swaileh +5
Although Deep Neural Networks(DNNs) have achieved successful applications in many fields, they are vulnerable to adversarial examples.Adversarial training is one of the most effect…