2 citations · 4 across the 10 of their papers we have counts for
11 papers
Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
Lyes Saad Saoud, Irfan Hussain
Biomimetic intelligence and robotics are transforming field ecology by enabling lifelike robotic surrogates that interact naturally with animals under real world conditions. Studyi…
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…
Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer
Asim Khan, Umair Nawaz, Lochan Kshetrimayum +2
Tomato leaf diseases pose a significant challenge for tomato farmers, resulting in substantial reductions in crop productivity. The timely and precise identification of tomato leaf…
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…
MARS: Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization
Lyes Saad Saoud, Lakmal Seneviratne, Irfan Hussain
Underwater robotic vision encounters significant challenges, necessitating advanced solutions to enhance performance and adaptability. This paper presents MARS (Multi-Scale Adaptiv…
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…
Marine: Design and Implementation of Unmanned Surface Vessel for Vision Guided Navigation
Muhayy Ud Din, Ahmed Humais, Waseem Akram +5
Marine robots, particularly Unmanned Surface Vessels (USVs), have gained considerable attention for their diverse applications in maritime tasks, including search and rescue, envir…
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control
Lyes Saad Saoud, Irfan Hussain
In the realm of exoskeleton control, achieving precise control poses challenges due to the mechanical delay of exoskeletons. To address this, incorporating future gait trajectories…
Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
Zhenwei Niu, Lyes Saad Saoud, Irfan Hussain
Ensuring safety is paramount in the field of collaborative robotics to mitigate the risks of human injury and environmental damage. Apart from collision avoidance, it is crucial fo…