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😄 Hi there, I'm Linfeng Tang (唐霖峰 in Chinese)!

Linfeng's github stats

💬 I am a PhD student at Wuhan University, School of Electronic Information.

🔭 Reseach-wise, I mainly focus on:

  • Information Fusion
  • Image Enhancement

⚡Publications:

  1. Linfeng Tang, Jiteng Yuan, and Jiayi Ma*. "Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network", Information Fusion, 82, pp. 28-42, 2022. 【Paper】【Code
  2. Jiayi Ma, Linfeng Tang, Fan Fan, Jun Huang, Xiaoguang Mei, and Yong Ma. "SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer", IEEE/CAA Journal of Automatica Sinica, 9(7), pp. 1200-1217, 2022. 【Paper】【Code
  3. Linfeng Tang, Yuxin Deng, Yong Ma, Jun Huang, and Jiayi Ma. "SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness", IEEE/CAA Journal of Automatica Sinica, 9(12), pp. 2121-2137, 2022. 【Paper】【Code
  4. Linfeng Tang, Hao Zhang, Han Xu, and Jiayi Ma. "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", Information Fusion, 99, pp. 101870, 2023.【Paper】 【Code
  5. Linfeng Tang, Xinyu Xiang, Hao Zhang, Meiqi Gong, and Jiayi Ma. "DIVFusion: Darkness-free infrared and visible image fusion", Information Fusion, 91, pp. 477-493, 2023.【Paper】 【Code
  6. Linfeng Tang, Jiteng Yuan, Hao Zhang, Xingyu Jiang, and Jiayi Ma. "PIAFusion: A progressive infrared and visible image fusion network based on illumination aware", Information Fusion, 83-84, pp. 79-92, 2022.【Paper】【Code
  7. Linfeng Tang, Jiayi Ma, Hao Zhang, and Xiaojie Guo. "DRLIE: Flexible Low-light Image Enhancement via Disentangled Representations", IEEE Transactions on Neural Networks and Learning Systems, In Press.【Paper】【Code
  8. Jiayi Ma, Linfeng Tang, Meilong Xu, Hao Zhang, and Guobao Xiao. "STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection", IEEE Transactions on Instrumentation and Measurement, 70, pp. 5009513, 2021.【Paper】 【Code
  9. Meilong Xu, Linfeng Tang, Hao Zhang, and Jiayi Ma. "Infrared and visible image fusion via parallel scene and texture learning", Pattern Recognition, 132, pp. 108929, 2022.【Paper】【Code
  10. Linfeng Tang, Ziang Chen, Jun Huang, and Jiayi Ma. "CAMF: An Interpretable Infrared and Visible Image Fusion Network Based on Class Activation Mapping", IEEE Transactions on Multimedia, In Press.【Paper】【Code
  11. 唐霖峰, 张浩, 徐涵, 马佳义*. 基于深度学习的图像融合方法综述. **图象图形学报, 28(1), pp. 3-36, 2023.【Paper】【Code

Linfeng Tang's Projects

c2-matching icon c2-matching

Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.

camf icon camf

CAMF: An Interpretable Infrared and Visible Image Fusion Network Based on Class Activation Mapping

divfusion icon divfusion

DIVFusion: Darkness-free infrared and visible image fusion

drit icon drit

Learning diverse image-to-image translation from unpaired data

drit-tensorflow icon drit-tensorflow

Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)

drlie icon drlie

The code for “DRLIE: Unsupervised Domain-Specific Low-Light Image Enhancement via Disentangled Representations”

drmf icon drmf

This is official Pytorch implementation of ""

msrs icon msrs

MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion

piafusion icon piafusion

This is official tensorflow implementation of “PIAFusion: A Progressive Infrared and Visible Image Fusion Network Based on Illumination Aware”

psfusion icon psfusion

This is official Pytorch implementation of "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"

pstlfusion icon pstlfusion

Source Code for paper "Infrared and Visible Image Fusion via Parallel Scene and Texture Learning".

seafusion icon seafusion

The code of " Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network"

superfusion icon superfusion

This is official Pytorch implementation of "SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness"

swinfusion icon swinfusion

This is official Pytorch implementation of "SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer"

umf-cmgr icon umf-cmgr

[IJCAI2022 Oral] Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

utils icon utils

Code of creating *.h5 file, dealing with RGB input, etc.

vif-benchmark icon vif-benchmark

All deep learning-based infrared and visible image fusion algorithms in a whole framework

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