Full Professor, University of Science and Technology of China
1 paper at NeurIPS 2025
We propose XLFM-Former, a physics-guided and self-supervised Transformer framework for efficient volumetric reconstruction in light field microscopy, achieving state-of-the-art performance with minimal supervision.
