3 citations · 3 across the 4 of their papers we have counts for
4 papers
LARE: Low-Attention Region Encoding for Text-Image Retrieval
Abdulmalik Alquwayfili, Faisal Almeshal, Jumanah Almajnouni +8
Image retrieval in crowded scenes is particularly challenging due to the salience bias of conventional visual encoders, which tend to focus on dominant objects while neglecting low…
Look Beyond Saliency: Low-Attention Guided Dual Encoding for Video Semantic Search
Faisal Aljehrai, Mohammed A. Alkhrashi, Alreem Almuhrij +6
Video semantic search in densely crowded scenes remains a challenging task due to visual encoders tendency to prioritize salient foreground regions while neglecting contextually im…
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Hasan Abed Al Kader Hammoud, Shuming Liu, Mohammed Alkhrashi +2
Deep neural networks (DNNs) are vulnerable to a class of attacks called "backdoor attacks", which create an association between a backdoor trigger and a target label the attacker i…
On Robust Learning from Noisy Labels: A Permutation Layer Approach
Salman Alsubaihi, Mohammed Alkhrashi, Raied Aljadaany +2
The existence of label noise imposes significant challenges (e.g., poor generalization) on the training process of deep neural networks (DNN). As a remedy, this paper introduces a…