R2RNet: Low-Light Image Enhancement via Real-low to Real-normal Network J Hai, Z Xuan, R Yang, Y Hao, F Zou, F Lin, S Han Journal of Visual Communication and Image Representation (JVCIR), 2023 | 177 | 2023 |
Low-Light Image Enhancement with Wavelet-based Diffusion Models H Jiang, A Luo, S Han, H Fan, S Liu ACM Transactions on Graphics (ToG), In Proc. SIGGRAPH Asia, 2023 | 61 | 2023 |
A Visual Navigation System for UAV Under Diverse Illumination Conditions J Hai, Y Hao, F Zou, F Lin, S Han Applied Artificial Intelligence (UAAI), 2021 | 15 | 2021 |
Advanced RetinexNet: A Fully Convolutional Network for Low-light Image Enhancement J Hai, Y Hao, F Zou, F Lin, S Han Signal Processing: Image Communication (SPIC), 2023 | 14 | 2023 |
Semi-Supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint H Jiang, H Li, Y Lu, S Han, S Liu AAAI Conference on Artificial Intelligence (AAAI), 2023 | 12 | 2023 |
Unsupervised Global and Local Homography Estimation With Motion Basis Learning S Liu, Y Lu, H Jiang, N Ye, C Wang, B Zeng IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 12 | 2023 |
Combining Spatial and Frequency Information for Image Deblurring J Hai, R Yang, Y Yu, S Han IEEE Signal Processing Letters (SPL), 2022 | 10 | 2022 |
DMHomo: Learning Homography with Diffusion Models H Li, H Jiang, A Luo, P Tan, H Fan, B Zeng, S Liu ACM Transactions on Graphics (ToG), 2024 | 7 | 2024 |
Supervised Homography Learning with Realistic Dataset Generation H Jiang, H Li, S Han, H Fan, B Zeng, S Liu IEEE International Conference on Computer Vision (ICCV), 2023 | 6 | 2023 |
Revisiting coarse-to-fine strategy for low-light image enhancement with deep decomposition guided training H Jiang, Y Ren, S Han Computer Vision and Image Understanding (CVIU), 2024 | 1 | 2024 |
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models H Jiang, A Luo, X Liu, S Han, S Liu European Conference on Computer Vision (ECCV), 2024 | | 2024 |