Hao Zhang
Orcid: 0000-0001-5467-3428Affiliations:
- Wuhan University, Electronic Information School, Wuhan, China
According to our database1,
Hao Zhang
authored at least 36 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CRetinex: A Progressive Color-Shift Aware Retinex Model for Low-Light Image Enhancement.
Int. J. Comput. Vis., September, 2024
More Than Lightening: A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations.
IEEE CAA J. Autom. Sinica, March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation.
Inf. Fusion, January, 2024
OFPF-MEF: An Optical Flow Guided Dynamic Multi-Exposure Image Fusion Network With Progressive Frequencies Learning.
IEEE Trans. Multim., 2024
MERF: A Practical HDR-Like Image Generator via Mutual-Guided Learning Between Multi-Exposure Registration and Fusion.
IEEE Trans. Image Process., 2024
Diff-IF: Multi-modality image fusion via diffusion model with fusion knowledge prior.
Inf. Fusion, 2024
Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model.
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Dispel Darkness for Better Fusion: A Controllable Visual Enhancer Based on Cross-Modal Conditional Adversarial Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
STP-SOM: Scale-Transfer Learning for Pansharpening via Estimating Spectral Observation Model.
Int. J. Comput. Vis., December, 2023
Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity.
Inf. Fusion, November, 2023
Inf. Fusion, July, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Inf. Fusion, 2023
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Pattern Recognit., 2022
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware.
Inf. Fusion, 2022
2021
GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion.
IEEE Trans. Instrum. Meas., 2021
STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Geosci. Remote. Sens., 2021
GAN-FM: Infrared and Visible Image Fusion Using GAN With Full-Scale Skip Connection and Dual Markovian Discriminators.
IEEE Trans. Computational Imaging, 2021
IEEE Trans. Computational Imaging, 2021
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion.
Inf. Fusion, 2021
Int. J. Comput. Vis., 2021
2020
SCSCN: A Separated Channel-Spatial Convolution Net With Attention for Single-View Reconstruction.
IEEE Trans. Ind. Electron., 2020
IEEE Access, 2020
MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network.
IEEE Access, 2020
Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020