Search Results for author: Jie Xiao

Found 8 papers, 0 papers with code

Improving De-Raining Generalization via Neural Reorganization

no code implementations ICCV 2021 Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha

Equipped with our NR algorithm, the deep model can be trained on a list of synthetic rainy datasets by overcoming catastrophic forgetting, making it a general-version de-raining network.

Knowledge Distillation

Integrated Age Estimation Mechanism

no code implementations11 Mar 2021 Fan Li, Yongming Li, Pin Wang, Jie Xiao, Fang Yan, Xinke Li

Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation between the estimated age and real age due to disease.

Age Estimation

Image De-Raining via Continual Learning

no code implementations CVPR 2021 Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha

The proposed model is capable of achieving superior performance on both inhomogeneous and incremental datasets, and is promising for highly compact systems to gradually learn myriad regularities of the different types of rain streaks.

Continual Learning

Principled Knowledge Extrapolation with GANs

no code implementations21 May 2022 Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha

Human can extrapolate well, generalize daily knowledge into unseen scenarios, raise and answer counterfactual questions.

counterfactual

Learning Sample Relationship for Exposure Correction

no code implementations CVPR 2023 Jie Huang, Feng Zhao, Man Zhou, Jie Xiao, Naishan Zheng, Kaiwen Zheng, Zhiwei Xiong

Exposure correction task aims to correct the underexposure and its adverse overexposure images to the normal exposure in a single network.

Task 2

CCM: Adding Conditional Controls to Text-to-Image Consistency Models

no code implementations12 Dec 2023 Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Yu Liu, Xueyang Fu, Zheng-Jun Zha

Consistency Models (CMs) have showed a promise in creating visual content efficiently and with high quality.

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