1 citations · 1 across the 5 of their papers we have counts for
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Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement
Yaozi Zhong, Xingxing Yang, Shaohui Mei +1
Restoring high-fidelity remote sensing imagery from extreme low-light degradation is indispensable for reliable Earth observation and downstream machine vision. However, under seve…
Rethinking Occlusion in FER: A Semantic-Aware Perspective and Go Beyond
Huiyu Zhai, Xingxing Yang, Yalan Ye +3
Facial expression recognition (FER) is a challenging task due to pervasive occlusion and dataset biases. Especially when facial information is partially occluded, existing FER mode…
DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal Learning
Jialang Lu, Huayu Zhao, Huiyu Zhai +2
There has long been a belief that high-level semantics learning can benefit various downstream computer vision tasks. However, in the low-light image enhancement (LLIE) community,…
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
Huiyu Zhai, Guang Jin, Xingxing Yang +1
Translating NIR to the visible spectrum is challenging due to cross-domain complexities. Current models struggle to balance a broad receptive field with computational efficiency, l…
Multi-scale HSV Color Feature Embedding for High-fidelity NIR-to-RGB Spectrum Translation
Huiyu Zhai, Mo Chen, Xingxing Yang +1
The NIR-to-RGB spectral domain translation is a formidable task due to the inherent spectral mapping ambiguities within NIR inputs and RGB outputs. Thus, existing methods fail to r…