A Visual Navigation System for UAV under Diverse Illumination Conditions. - Jiang Hai 006; Yutong Hao; Fengzhu Zou; Fang Lin; Songchen Han (Appl. Artif. Intell., 2021)

Combining Spatial and Frequency Information for Image Deblurring. - Jiang Hai 006; Ren Yang; Yaqi Yu; Songchen Han (IEEE Signal Process. Lett., 2022)

Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. - Hai Jiang 006; Haipeng Li 001; Yuhang Lu; Songchen Han; Shuaicheng Liu (AAAI, 2023)

Supervised Homography Learning with Realistic Dataset Generation. - Hai Jiang 006; Haipeng Li 001; Songchen Han; Haoqiang Fan; Bing Zeng; Shuaicheng Liu (ICCV, 2023)

R2RNet: Low-light image enhancement via Real-low to Real-normal Network. - Jiang Hai 006; Zhu Xuan; Ren Yang; Yutong Hao; Fengzhu Zou; Fang Lin; Songchen Han (J. Vis. Commun. Image Represent., 2023)

Advanced RetinexNet: A fully convolutional network for low-light image enhancement. - Jiang Hai 006; Yutong Hao; Fengzhu Zou; Fang Lin; Songchen Han (Signal Process. Image Commun., 2023)

Unsupervised Global and Local Homography Estimation With Motion Basis Learning. - Shuaicheng Liu; Yuhang Lu; Hai Jiang 006; Nianjin Ye; Chuan Wang 001; Bing Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Low-Light Image Enhancement with Wavelet-Based Diffusion Models. - Hai Jiang 006; Ao Luo; Haoqiang Fan; Songchen Han; Shuaicheng Liu (ACM Trans. Graph., 2023)

LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models. - Hai Jiang 006; Ao Luo; Xiaohong Liu 001; Songchen Han; Shuaicheng Liu (ECCV (48), 2024)

DMHomo: Learning Homography with Diffusion Models. - Haipeng Li 001; Hai Jiang 006; Ao Luo; Ping Tan; Haoqiang Fan; Bing Zeng; Shuaicheng Liu (ACM Trans. Graph., 2024)

ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency. - Yang Ren; Hai Jiang 006; Menglong Yang; Wei Li 075; Shuaicheng Liu (AAAI, 2025)

ISPFormer: Learning RAW-to-sRGB mappings with wavelet-based self-attention. - Yang Ren; Xinhan Niu; Hai Jiang 006; Zhen Liu 022; Ting Jiang; Guanghui Liu 001; Shuaicheng Liu (Neurocomputing, 2025)

Incorporating Fourier Transformation With Diffusion Models for Low-Light Image Enhancement. - Ailin Ma; Hai Jiang 006; Binbin Liang; Songchen Han (IEEE Signal Process. Lett., 2025)

StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation. - Ziyi Wang; Haipeng Li 001; Lin Sui; Tianhao Zhou; Hai Jiang 006; Lang Nie; Shuaicheng Liu (CoRR, 2025)

Learning to See in the Extremely Dark. - Hai Jiang 006; Binhao Guan; Zhen Liu 022; Xiaohong Liu 001; Jian Yu; Zheng Liu; Songchen Han; Shuaicheng Liu (CoRR, 2025)

Learning Arbitrary-Scale RAW Image Downscaling with Wavelet-based Recurrent Reconstruction. - Yang Ren; Hai Jiang 006; Wei Li 075; Menglong Yang; Heng Zhang; Zehua Sheng; Qingsheng Ye; Shuaicheng Liu (CoRR, 2025)