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20242026
most citedTowards an end-to-end artificial intelligence driven global weather forecasting system

10 citations · 15 across the 13 of their papers we have counts for

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21 papers · 1 filter

cs.CV2026

Earth-o1: A Grid-free Observation-native Atmospheric World Model

Junchao Gong, Kaiyi Xu, Wangxu Wei +22

Despite the unprecedented volume of multimodal data provided by modern Earth observation systems, our ability to model atmospheric dynamics remains constrained. Traditional modelin…

cs.CV2025

A Renaissance of Explicit Motion Information Mining from Transformers for Action Recognition

Peiqin Zhuang, Lei Bai, Yichao Wu +4

Recently, action recognition has been dominated by transformer-based methods, thanks to their spatiotemporal contextual aggregation capacities. However, despite the significant pro…

cs.CV2025

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Xiaoyu Yue, Zidong Wang, Yuqing Wang +5

Recent studies have demonstrated the importance of high-quality visual representations in image generation and have highlighted the limitations of generative models in image unders…

cs.CV2025

Hulk: A Universal Knowledge Translator for Human-Centric Tasks

Yizhou Wang, Yixuan Wu, Weizhen He +8

Human-centric perception tasks, e.g., pedestrian detection, skeleton-based action recognition, and pose estimation, have wide industrial applications, such as metaverse and sports…

cs.CV2025

Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering

Jiayi Song, Zihan Ye, Qingyuan Zhou +5

Accurately rendering scenes with reflective surfaces remains a significant challenge in novel view synthesis, as existing methods like Neural Radiance Fields (NeRF) and 3D Gaussian…

cs.CV2025

ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion

Yuanyi Song, Pumeng Lyu, Ben Fei +3

Accurate reconstruction of ocean is essential for reflecting global climate dynamics and supporting marine meteorological research. Conventional methods face challenges due to spar…