collaborators

9 papers

cs.CV2026

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

Xingyuan Li, Haoyuan Xu, Xingyue Zhu +4

Infrared and Visible Image Fusion (IVIF) has shown promise in visual tasks under challenging environments, but fusion under unregistered conditions faces inherent misalignments. Cu…

eess.IV2026

Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling

Songcheng Du, Yang Zou, Zixu Wang +4

Fusion-based hyperspectral image super-resolution aims to fuse low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) to reconstruct high…

cs.CV2026

Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset

Songcheng Du, Yang Zou, Jiaxin Li +4

Pansharpening under thin cloudy conditions is a practically significant yet rarely addressed task, challenged by simultaneous spatial resolution degradation and cloud-induced spect…

cs.CV2026

UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation

Xingyuan Li, Songcheng Du, Yang Zou +3

Image fusion aims to integrate complementary information from multiple source images to produce a more informative and visually consistent representation, benefiting both human per…

cs.CV2026

Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset

Yang Zou, Jun Ma, Zhidong Jiao +3

Infrared image super-resolution (IISR) under real-world conditions is a practically significant yet rarely addressed task. Pioneering works are often trained and evaluated on simul…

cs.CV2026

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

Yang Zou, Xingyue Zhu, Kaiqi Han +4

Infrared video has been of great interest in visual tasks under challenging environments, but often suffers from severe atmospheric turbulence and compression degradation. Existing…