Search Results for author: Liangyan Li

Found 5 papers, 2 papers with code

A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer

1 code implementation16 Apr 2023 Yangyi Liu, Huan Liu, Liangyan Li, Zijun Wu, Jun Chen

Although it is possible to augment the NH-HAZE23 dataset by leveraging other non-homogeneous dehazing datasets, we observe that it is necessary to design a proper data-preprocessing approach that reduces the distribution gaps between the target dataset and the augmented one.

Image Dehazing

Towards Multi-Domain Single Image Dehazing via Test-Time Training

no code implementations CVPR 2022 Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang

Motivated by this observation, we propose a test-time training method which leverages a helper network to assist the dehazing model in better adapting to a domain of interest.

Image Dehazing Meta-Learning +1

SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge

no code implementations25 Apr 2023 Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen

Stereo Image Super-Resolution (stereoSR) has attracted significant attention in recent years due to the extensive deployment of dual cameras in mobile phones, autonomous vehicles and robots.

Autonomous Vehicles Image Restoration +1

Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory

no code implementations21 Mar 2024 Li Xie, Liangyan Li, Jun Chen, Zhongshan Zhang

The distortion-rate function of output-constrained lossy source coding with limited common randomness is analyzed for the special case of squared error distortion measure.

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