Yi Liu

I'm a PhD student at School of Remote Sensing and Information Enginnering, Wuhan Universty in China.

I focus on low-level computer vision, espcially image restoration in adverse weather conditions like rain, haze and snow, image super-resolution.

Research

Most of my research is about inferring the physical world (shape, motion, color, light, etc) from images. Representative papers are highlighted.

	Single Image Deraindrop Leveraging Luminance Priors and Context Aggregation Yi Liu, Zhi Gao, Tiancan Mei, Han Yi Neurocomputing, 2024 A single image raindrop removal methods with color space transformation and context aggregation.
	StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation Yi Liu, Xinyi Liu, Yi Wan, Panwang Xia, Qiong Wu, Yongjun Zhang ACM MM, 2025 An arbitrary scale stereo super-resolution method with cross-view geometry consistency.
	HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention Yi Liu, Yi Wan, Xinyi Liu, Qiong Wu, Panwang Xia, Xuejun Huang, Yongjun Zhang arXiv, 2025 An efficient remote sensing image super-resolution method with hierarchical mixture of sparse attention.

Source code is from Jon Barron.