Yeda Wang — accepted AI-conference papers

2026

VideoFusion: A Spatio-Temporal Collaborative Network for Multi-modal Video Fusion

Linfeng Tang, Yeda Wang, Meiqi Gong, Zizhuo Li, Yuxin Deng, Xunpeng Yi +4

CVPR 2026

Compared to images, videos better reflect real-world acquisition and possess valuable temporal cues. However, existing multi-sensor fusion research predominantly integrates complementary context from multiple images rather than videos due to the scarcity of large-scale multi-sensor video datasets, l

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2025

ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts

Linfeng Tang, Yeda Wang, Zhanchuan Cai, Junjun Jiang, Jiayi Ma

NeurIPS 2025oral

Current image fusion methods struggle with real-world composite degradations and lack the flexibility to accommodate user-specific needs. To address this, we propose ControlFusion, a controllable fusion network guided by language-vision prompts that adaptively mitigates composite degradations. On th…

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