Xingyue Zhu — accepted AI-conference papers

2026

HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution

Yang Zou, Xingyue Zhu, Kaiqi Han, Jun Ma, Xingyuan Li, Zhiying Jiang +1

AAAI 2026technical

Infrared video has been of great interest in visual tasks under challenging environments, but often suffers from severe atmospheric turbulence and compression degradation. Existing video super-resolution (VSR) methods either neglect the inherent modality gap between infrared and visible images or fa

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2026

Uncertainty-Aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images

Xingyuan Li, Haoyuan Xu, Xingyue Zhu, Jun Ma, Zhiying Jiang, Jinyuan Liu +1

IJCAI 2026

Infrared and Visible Image Fusion (IVIF) has shown promise in visual tasks under challenging environments, but fusion under unregistered conditions faces inherent misalignments. Current studies to solve them either predict the deformation parameters coarse-to-fine (i.e., coarse registration and fine

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