Weed Density Estimation Using Semantic Segmentation. - Muhammad Hamza Asad; Abdul Bais (PSIVT Workshops, 2019)

Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing. - Muhammad Hamza Asad; Abdul Bais (IEEE Access, 2020)

End to End Segmentation of Canola Field Images Using Dilated U-Net. - Hafiz Sami Ullah; Muhammad Hamza Asad; Abdul Bais (IEEE Access, 2021)

Detection and Mapping of Kochia Plants and Patches Using High-Resolution Ground Imagery and Satellite Data: Application of Machine Learning. - Muhammad Hamza Asad; Sajid Saleem; Abdul Bais (IEEE Access, 2023)

Soil Surface Texture Classification Using RGB Images Acquired Under Uncontrolled Field Conditions. - Ekunayo-Oluwabami Babalola; Muhammad Hamza Asad; Abdul Bais (IEEE Access, 2023)

Improved Crop and Weed Detection with Diverse Data Ensemble Learning in Agriculture. - Muhammad Hamza Asad; Saeed Anwar; Abdul Bais (CoRR, 2023)

Improved Crop and Weed Detection with Diverse Data Ensemble Learning. - Muhammad Hamza Asad; Saeed Anwar; Abdul Bais (CVPR Workshops, 2024)

Robust UDA for Crop and Weed Segmentation: Multi-scale Attention and Style-Adaptive Techniques. - Numair Nadeem; Muhammad Hamza Asad; Abdul Bais (ECCV Workshops (3), 2024)

MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking. - Numair Nadeem; Muhammad Hamza Asad; Saeed Anwar; Abdul Bais (CVPR Workshops, 2025)

HierVL: Semi-Supervised Segmentation leveraging Hierarchical Vision-Language Synergy with Dynamic Text-Spatial Query Alignment. - Numair Nadeem; Saeed Anwar; Muhammad Hamza Asad; Abdul Bais (CoRR, 2025)