activity
20232026
most citedW-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SkillIR: Evolving Scene-Aware Skills for Agentic Image Restoration

Jie Shao, Shengkai Hu, Xu Zhang +4

This paper studies agentic image restoration, in which multimodal agents coordinate specialized restoration tools to recover images affected by complex degradations. Existing resto…

cs.CV2026

SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning

Shengkai Hu, Jie Shao, Jiaqi Ma +5

ANN-based All-in-One image restoration (AiOIR) unifies diverse degradation handling but incurs high computational costs, limiting its real-time deployment. While Spiking Neural Net…

physics.ao-ph2024★ 1 cited

EWMoE: An effective model for global weather forecasting with mixture-of-experts

Lihao Gan, Xin Man, Chenghong Zhang +1

Weather forecasting is a crucial task for meteorologic research, with direct social and economic impacts. Recently, data-driven weather forecasting models based on deep learning ha…

cs.CV2023★ 3 cited

ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes

Minghao Fu, Xin Man, Yihan Xu +1

While scene text image super-resolution (STISR) has yielded remarkable improvements in accurately recognizing scene text, prior methodologies have placed excessive emphasis on opti…

cs.LG2023★ 10 cited

W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

Xin Man, Chenghong Zhang, Jin Feng +2

Weather forecasting is a long-standing computational challenge with direct societal and economic impacts. This task involves a large amount of continuous data collection and exhibi…