Jinxiu (Sherry) Liang

I am currently a postdoctoral researcher working with Prof. Boxin Shi at the National Engineering Research Center of Visual Technology, Peking University.
I received my Ph.D. in 2021 and B.Eng. in 2016 from South China University of Technology, where I was supervised by Prof. Yong Xu and worked with Prof. Yuhui Quan. I'm also grateful for having collaborated with these inspiring professors: Hui Ji (NUS), Haibin Ling (SBU), and Jiaying Liu (PKU), etc.
My research interests sit at the intersection of computational photography, computer vision and machine learning, with a focus on visual signals captured under low-light conditions.

Email  /  Google Scholar  /  Github

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Research
Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors

Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, and Hui Ji

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Early Access, 2022

[code]


Recurrent Exposure Generation for Low-Light Face Detection

Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, and Yong Xu

IEEE Transactions on Multimedia (TMM), vol. 24, pp. 1609–1621, 2022

[code]


Encoding Spatial Distribution of Convolutional Features for Texture Representation

Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, and Yuhui Quan

The Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021


Deep Bilateral Retinex for Low-Light Image Enhancement

Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, and Hui Ji

Technical Report, arXiv: 2007.02018, 2020


Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, ..., Jinxiu Liang, ...

IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5737–5752, 2020


Barzilai–Borwein-Based Adaptive Learning Rate for Deep Learning

Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, and Hui Ji

Pattern Recognition Letters (PRL), vol. 128, pp. 197–203, Dec. 2019

[code]


Service
Conference Reviewer: CVPR'22, ECCV'22, AAAI'23

Journal Reviewer: IJCV, IEEE TIP, IEEE TMM, IEEE TIM, Neurocomputing
Honors
Second Prize of Guangdong Science and Technology Progress Award, 2020

Guangdong Outstanding Student Leader, 2011
Experience
Teaching Assistant, Visual Computing, South China University of Technology, Spring 2017-2020

Teaching Assistant, Cryptography and Security Protocol, South China University of Technology, Fall 2016-2020

Vice President, the 36th Student Union of South China University of Technology, 2015

Thanks to Jon Barron for sharing his web design.