collaborators

5 papers

cs.MM2026

LangRetrieval: Language-Guided Self-Evolving Satellite-to-Radar Retrieval via CSI-Driven Reward

Chunlei Shi, Junming Hou, Yi-Lin Wei +5

Satellite-to-radar (S2R) retrieval estimates ground radar precipitation from geostationary satellite observations, providing a critical solution for precipitation monitoring in rad…

cs.CV2026

Semi-Supervised Flow Matching for Mosaiced and Panchromatic Fusion Imaging

Peiming Luo, Nan Wang, Litong Liu +4

Fusing a low resolution (LR) mosaiced hyperspectral image (HSI) with a high resolution (HR) panchromatic (PAN) image offers a promising avenue for video-rate HR-HSI imaging via sin…

cs.CV2026

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

Xiaofeng Cong, Yu Zhao, Jie Gui +2

Underwater image enhancement (UIE) presents a significant challenge within computer vision research. Despite the development of numerous UIE algorithms, a thorough and systematic r…

astro-ph.IM2025

Segmentation and Celestial Mapping of Unobservable Regions in Nighttime All-sky Images for the Mephisto Observations

Jian Cui, Guo-Wang Du, Xin-Zhong Er +5

Accurate identification of unobservable regions in nighttime is essential for autonomous scheduling and data quality control in observations.Traditional methods-such as infrared se…

cs.CV2025

The Devil is in the Darkness: Diffusion-Based Nighttime Dehazing Anchored in Brightness Perception

Xiaofeng Cong, Yu-Xin Zhang, Haoran Wei +5

While nighttime image dehazing has been extensively studied, converting nighttime hazy images to daytime-equivalent brightness remains largely unaddressed. Existing methods face tw…