Yakun Ju

Yakun Ju is a Lecturer in Computer Science at the University of Leicester's School of Computing and Mathematical Sciences. His research develops AI-driven methods for 3D reconstruction in challenging environments including underwater and medical imaging contexts.

Research focuses on photometric stereo techniques combining physics-based vision with deep learning for dense geometry recovery. Applications include ocean exploration, HDR imaging, and spine segmentation for medical assessment. Recent work improves efficiency in text-to-3D generation through Fourier-based neural operators.

Key recognitions include national scholarships and best paper awards. He holds multiple patents for deep learning-based 3D reconstruction systems with industrial applications.