Scholar
Linfeng TANG
Google Scholar ID: PyRqpAsAAAAJ
Wuhan University, School of Electronic Information
Citations & Impact
Citations
5,050
H-index
16
i10-index
18
Publications
20
Co-authors
6
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Paper 'SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer', IEEE/CAA Journal of Automatica Sinica, 2022, cited 1095 times
- Paper 'Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network', Information Fusion, 2022, cited 873 times
- Paper 'PIAFusion: A progressive infrared and visible image fusion network based on illumination aware', Information Fusion, 2022, cited 862 times
- Paper 'STDFusionNet: An infrared and visible image fusion network based on salient target detection', IEEE Transactions on Instrumentation and Measurement, 2021, cited 546 times
- Paper 'DIVFusion: Darkness-free infrared and visible image fusion', Information Fusion, 2022, cited 383 times
- Paper 'SuperFusion: A versatile image registration and fusion network with semantic awareness', IEEE/CAA Journal of Automatica Sinica, 2022, cited 369 times
- Paper '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', Information Fusion, 2023, cited 261 times
- Paper 'Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model', Proceedings of the IEEE/CVF international conference on computer vision, 2023, cited 260 times
- Paper 'Text-if: Leveraging semantic text guidance for degradation-aware and interactive image fusion', Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern, 2024, cited 138 times
- Paper 'Diff-IF: Multi-modality image fusion via diffusion model with fusion knowledge prior', Information Fusion, 2024, cited 101 times
- Paper 'Deep learning-based image fusion: A survey', Journal of Image and Graphics, 2023, cited 82 times
- Paper 'Infrared and visible image fusion via parallel scene and texture learning', Pattern Recognition, 2022, cited 59 times
Research Experience
- Involved in multiple research projects on image fusion and enhancement, such as SwinFusion, PIAFusion, etc.
Education
- Wuhan University, School of Electronic Information (specific degree, time, and advisor information not provided)
Background
- Research Interests: Computer Vision, Information Fusion, Image Fusion, Image Enhancement; Professional Field: Electronic Information Technology
