531 citations · 1.6k across the 49 of their papers we have counts for
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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…
AFFormer: Adaptive Feature Fusion Transformer for V2X Cooperative Perception under Channel Impairments
Xi Zhou, Tao Huang, Qing-Long Han +2
Accurate 3D object detection is essential for ensuring the safety of autonomous vehicles. Cooperative perception, which leverages vehicle-to-everything (V2X) communication to share…
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…
Advancements in Weed Mapping: A Systematic Review
Mohammad Jahanbakht, Alex Olsen, Ross Marchant +2
Weed mapping plays a critical role in precision management by providing accurate and timely data on weed distribution, enabling targeted control and reduced herbicide use. This min…
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…