3 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
The Solution for the CVPR2023 NICE Image Captioning Challenge
Xiangyu Wu, Yi Gao, Hailiang Zhang +3
In this paper, we present our solution to the New frontiers for Zero-shot Image Captioning Challenge. Different from the traditional image captioning datasets, this challenge inclu…
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
Taehoon Kim, Pyunghwan Ahn, Sangyun Kim +39
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed t…