Hai Jiang

According to our database, Hai Jiang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Learning Arbitrary-Scale RAW Image Downscaling with Wavelet-based Recurrent Reconstruction.

Yang Ren, Hai Jiang, Wei Li, Menglong Yang, Heng Zhang, Zehua Sheng, Qingsheng Ye, Shuaicheng Liu

CoRR, July, 2025

Learning to See in the Extremely Dark.

Hai Jiang, Binhao Guan, Zhen Liu, Xiaohong Liu, Jian Yu, Zheng Liu, Songchen Han, Shuaicheng Liu

CoRR, June, 2025

StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation.

Ziyi Wang, Haipeng Li, Lin Sui, Tianhao Zhou, Hai Jiang, Lang Nie, Shuaicheng Liu

CoRR, May, 2025

Incorporating Fourier Transformation With Diffusion Models for Low-Light Image Enhancement.

Ailin Ma, Hai Jiang, Binbin Liang, Songchen Han

IEEE Signal Process. Lett., 2025

ISPFormer: Learning RAW-to-sRGB mappings with wavelet-based self-attention.

Yang Ren, Xinhan Niu, Hai Jiang, Zhen Liu, Ting Jiang, Guanghui Liu, Shuaicheng Liu

Neurocomputing, 2025

ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency.

Yang Ren, Hai Jiang, Menglong Yang, Wei Li, Shuaicheng Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DMHomo: Learning Homography with Diffusion Models.

Haipeng Li, Hai Jiang, Ao Luo, Ping Tan, Haoqiang Fan, Bing Zeng, Shuaicheng Liu

ACM Trans. Graph., June, 2024

LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models.

Hai Jiang, Ao Luo, Xiaohong Liu, Songchen Han, Shuaicheng Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Low-Light Image Enhancement with Wavelet-Based Diffusion Models.

Hai Jiang, Ao Luo, Haoqiang Fan, Songchen Han, Shuaicheng Liu

ACM Trans. Graph., December, 2023

Unsupervised Global and Local Homography Estimation With Motion Basis Learning.

Shuaicheng Liu, Yuhang Lu, Hai Jiang, Nianjin Ye, Chuan Wang, Bing Zeng

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Advanced RetinexNet: A fully convolutional network for low-light image enhancement.

Jiang Hai, Yutong Hao, Fengzhu Zou, Fang Lin, Songchen Han

Signal Process. Image Commun., March, 2023

R2RNet: Low-light image enhancement via Real-low to Real-normal Network.

Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu Zou, Fang Lin, Songchen Han

J. Vis. Commun. Image Represent., February, 2023

Supervised Homography Learning with Realistic Dataset Generation.

Hai Jiang, Haipeng Li, Songchen Han, Haoqiang Fan, Bing Zeng, Shuaicheng Liu

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

Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint.

Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Combining Spatial and Frequency Information for Image Deblurring.

Jiang Hai, Ren Yang, Yaqi Yu, Songchen Han

IEEE Signal Process. Lett., 2022

2021

A Visual Navigation System for UAV under Diverse Illumination Conditions.

Jiang Hai, Yutong Hao, Fengzhu Zou, Fang Lin, Songchen Han

Appl. Artif. Intell., 2021