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  /  DBLP  /  Github

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Research

(# denotes equal contribution; * denotes corresponding author)

E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors

Jinxiu Liang#, Bohan Yu#, Yixin Yang, Yiming Han, and Boxin Shi

Technical Report, arXiv: 2407.08231, 2024


EventPS: Real-Time Photometric Stereo Using an Event Camera

Bohan Yu, Jieji Ren, Jin Han, Feishi Wang, Jinxiu Liang, and Boxin Shi

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

(Best Paper Runners-Up Award🥈)

[Project page]  /  [Code]  /  [Video]


Latency Correction for Event-guided Deblurring and Frame Interpolation

Yixin Yang, Jinxiu Liang, Bohan Yu, Yan Chen, Jimmy Ren, and Boxin Shi

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[Video]


Language-guided Image Reflection Separation

Haofeng Zhong, Yuchen Hong, Shuchen Weng, Jinxiu Liang, and Boxin Shi

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024


Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain

Hanyue Lou#, Jinxiu Liang#, Minggui Teng, Bin Fan, Yong Xu, and Boxin Shi

The 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

[Code]


Detail-Preserving Diffusion Models for Low-Light Image Enhancement

Yan Huang, Xiaoshan Liao, Jinxiu Liang*, Boxin Shi, Yong Xu, and Patrick Le Callet

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024

[Code]


L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model

Yuchen Hong, Haofeng Zhong, Shuchen Weng, Jinxiu Liang, and Boxin Shi

European Conference on Computer Vision (ECCV), 2024


Light Flickering Guided Reflection Removal

Yuchen Hong, Yakun Chang, Jinxiu Liang, Lei Ma, Tiejun Huang, and Boxin Shi

International Journal of Computer Vision (IJCV), 2024


Coherent Event Guided Low-Light Video Enhancement

Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, and Boxin Shi

IEEE/CVF International Conference on Computer Vision (ICCV), 2023

[Project page]  /  [Code]  /  [Video]


Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition

Jipeng Lv, Heng Guo, Guanying Chen, Jinxiu Liang, and Boxin Shi

International Joint Conference on Artificial Intelligence (IJCAI), 2023

[Code]


Learning Event Guided High Dynamic Range Video Reconstruction

Yixin Yang, Jin Han, Jinxiu Liang, Imari Sato, and Boxin Shi

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

[Project page]  /  [Code]  /  [Video]


Deblurring Low-Light Images with Events

Chu Zhou, Minggui Teng, Jin Han, Jinxiu Liang, Chao Xu, Gang Cao, and Boxin Shi

International Journal of Computer Vision (IJCV), 2023

[Code]


MARN: Multi-level Attentional Reconstruction Networks for Weakly Supervised Video Temporal Grounding

Yijun Song, Jingwen Wang, Lin Ma, Jun Yu, Jinxiu Liang, Liu Yuan, and Zhou Yu

Neurocomputing, 2022


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), 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), 2022

[Code]


Encoding Spatial Distribution of Convolutional Features for Texture Representation

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

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), 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), 2019

[Code]


Service
Conference Reviewer: CVPR'22, ECCV'22, AAAI'23, CVPR'23, ICCV'23, CVPR'24, ECCV'24, NeurIPS'24

Journal Reviewer: IJCV, IEEE TIP, IEEE TMM, IEEE TIM, Neurocomputing
Honors
Best Paper Runner-Up, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Top Reviewer, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

Outstanding Reviewer Award, International Journal of Computer Vision (IJCV), 2023

Second Prize of Guangdong Science and Technology Progress Award, 2020

Guangdong Outstanding Student Leader, 2011
Experience
Guest Lecturer, Computational Photography, Peking University, Spring 2022-2023

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.