10 papers
How many labels do you need? A decision framework for cross-habitat marine species recognition
Alzayat Saleh, Mostafa Rahimi Azghadi
Automated image recognition is increasingly used to scale ecological monitoring beyond manual annotation, yet ecologists lack evidence-based guidance on how much labelling effort r…
Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks
Alzayat Saleh, Mostafa Rahimi Azghadi
Satellite sea surface temperature (SST) products underpin global coral bleaching monitoring, yet they measure only the ocean skin. Corals inhabit depths from the shallows to beyond…
Multi-label Instance-level Generalised Visual Grounding in Agriculture
Mohammadreza Haghighat, Alzayat Saleh, Mostafa Rahimi Azghadi
Understanding field imagery such as detecting plants and distinguishing individual crop and weed instances is a central challenge in precision agriculture. Despite progress in visi…
Weed Detection in Challenging Field Conditions: A Semi-Supervised Framework for Overcoming Shadow Bias and Data Scarcity
Alzayat Saleh, Shunsuke Hatano, Mostafa Rahimi Azghadi
The automated management of invasive weeds is critical for sustainable agriculture, yet the performance of deep learning models in real-world fields is often compromised by two fac…
A Practical Approach to Underwater Depth and Surface Normals Estimation
Alzayat Saleh, Melanie Olsen, Bouchra Senadji +1
Monocular Depth and Surface Normals Estimation (MDSNE) is crucial for tasks such as 3D reconstruction, autonomous navigation, and underwater exploration. Current methods rely eithe…
FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics
Alzayat Saleh, Alex Olsen, Jake Wood +2
Shadows significantly hinder computer vision tasks in outdoor environments, particularly in field robotics, where varying lighting conditions complicate object detection and locali…