Search Results for author: Jingyan Qin

Found 3 papers, 2 papers with code

Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution

1 code implementation ICCV 2023 Hongyang Zhou, Xiaobin Zhu, Jianqing Zhu, Zheng Han, Shi-Xue Zhang, Jingyan Qin, Xu-Cheng Yin

Instead of assuming degradation are spatially invariant across the whole image, we learn correction filters to adjust degradations to known degradations in a spatially variant way by a novel linearly-assembled pixel degradation-adaptive regression module (DARM).

Image Super-Resolution regression

Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification

no code implementations24 Dec 2021 Zhiyu Fang, Xiaobin Zhu, Chun Yang, Zheng Han, Jingyan Qin, Xu-Cheng Yin

Learning a common latent embedding by aligning the latent spaces of cross-modal autoencoders is an effective strategy for Generalized Zero-Shot Classification (GZSC).

Classification Zero-Shot Learning

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