3 papers
eess.IV2026
Quantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement
Yiquan Gao
This study provides a theoretical expansion of the recent Data Relativistic Uncertainty (DRU) framework by formalizing a physics-to-AI paradigm for image enhancement. By modeling i…
cs.CV2026
Data relativistic uncertainty framework for low-illumination anime scenery image enhancement
Yiquan Gao, John See
By contrast with the prevailing works of low-light enhancement in natural images and videos, this study copes with the low-illumination quality degradation in anime scenery images…
cs.CV2025
Out-of-distribution data supervision towards biomedical semantic segmentation
Yiquan Gao, Duohui Xu
Biomedical segmentation networks easily suffer from the unexpected misclassification between foreground and background objects when learning on limited and imperfect medical datase…