2 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
Real-Time Threaded Houbara Detection and Segmentation for Wildlife Conservation using Mobile Platforms
Lyes Saad Saoud, Loic Lesobre, Enrico Sorato +1
Real-time animal detection and segmentation in natural environments are vital for wildlife conservation, enabling non-invasive monitoring through remote camera streams. However, th…
FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domains
Muayad Abujabal, Lyes Saad Saoud, Irfan Hussain
Accurate fish detection in underwater imagery is essential for ecological monitoring, aquaculture automation, and robotic perception. However, practical deployment remains limited…
EBA-AI: Ethics-Guided Bias-Aware AI for Efficient Underwater Image Enhancement and Coral Reef Monitoring
Lyes Saad Saoud, Irfan Hussain
Underwater image enhancement is vital for marine conservation, particularly coral reef monitoring. However, AI-based enhancement models often face dataset bias, high computational…
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility
Ahsan Baidar Bakht, Zikai Jia, Muhayy ud Din +6
The underwater environment presents unique challenges, including color distortions, reduced contrast, and blurriness, hindering accurate analysis. In this work, we introduce MuLA-G…
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
Lyes Saad Saoud, Zhenwei Niu, Atif Sultan +2
This research presents ADOD, a novel approach to address domain generalization in underwater object detection. Our method enhances the model's ability to generalize across diverse…