Computer Vision Applications

These papers represent research contributions across agricultural image analysis, medical and industrial computer vision, and interpretable deep learning. My work includes building large-scale datasets (e.g., GrainSpace, MANTA), developing image quality inspection systems for cereal grains, advancing anomaly detection and multimodal fusion methods, and contributing to interpretable AI research. These publications span top venues such as CVPR, IEEE TII, TGRS, RA-L, Scientific Data, and ECAI.