Jinxiu Liang

According to our database, Jinxiu Liang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language-guided Image Reflection Separation.

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

CoRR, 2024

2023

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

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

Neurocomputing, October, 2023

Deblurring Low-Light Images with Events.

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

Int. J. Comput. Vis., May, 2023

Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition.

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Coherent Event Guided Low-Light Video Enhancement.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Event Guided High Dynamic Range Video Reconstruction.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Recurrent Exposure Generation for Low-Light Face Detection.

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

IEEE Trans. Multim., 2022

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

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

IEEE Trans. Circuits Syst. Video Technol., 2022

NeuralMPS: Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition.

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

CoRR, 2022

2021

Encoding Spatial Distribution of Convolutional Features for Texture Representation.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin

IEEE Trans. Image Process., 2020

Deep Bilateral Retinex for Low-Light Image Enhancement.

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

CoRR, 2020

2019

Barzilai-Borwein-based adaptive learning rate for deep learning.

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

Pattern Recognit. Lett., 2019