Keli Deng — accepted AI-conference papers

2026

HierUQ: Hierarchical Uncertainty Quantification with Adaptive Granularity Reconciliation for Degraded Image Classification

Yang Chu, Xiaomeng Yang, Keli Deng, Yuntao Qian

CVPR 2026

Hierarchical classification (HC) on degraded images presents challenges due to feature corruption, unreliable confidence estimation, and fine-grained misclassification. Existing methods often struggle to balance semantic consistency and adaptive decision paths under low-quality visual conditions. To

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2024

RGB Images Enhancing Hyperspectral Image Denoising with Diffusion Model

Keli Deng, Peng Wang, Yuntao Qian

ICASSP 2024accepted

Deep learning (DL)-based hyperspectral image (HSI) denoising has achieved remarkable accomplishments but is still limited by insufficient training data of noisy-clean pairs. This paper proposes a novel approach to enhance the diffusion model (DM)-based HSI denoising by leveraging abundant RGB images…

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