The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
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Cites
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.244 · Cited by 23,602
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
Choi, Y., Choi, M., Kim, M., Ha, J.-W., Kim, S., & Choo, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00916 · Cited by 4,163
Single image haze removal using dark channel prior
He, K., Sun, J., & Tang, X. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206515 · Cited by 2,414
FusionGAN: A generative adversarial network for infrared and visible image fusion
Ma, J., Yu, W., Liang, P., Li, C., & Jiang, J. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.09.004 · Cited by 2,267
Self-citationU2Fusion: A Unified Unsupervised Image Fusion Network
Xu, H., Ma, J., Jiang, J., Guo, X., & Ling, H. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3012548 · Cited by 2,127
Self-citationDenseFuse: A Fusion Approach to Infrared and Visible Images
Li, H., & Wu, X.-J. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2887342 · Cited by 2,032
IFCNN: A general image fusion framework based on convolutional neural network
Zhang, Y., Liu, Y., Sun, P., Yan, H., Zhao, X., & Zhang, L. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.07.011 · Cited by 1,550
Information measure for performance of image fusion
Qu, G., Zhang, D., & Yan, P. (2002) · Electronics Letters · doi:10.1049/el:20020212 · Cited by 1,427
Ma, J., Xu, H., Jiang, J., Mei, X., & Zhang, X.-P. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.2977573 · Cited by 1,343
Self-citationPixel-level image fusion: A survey of the state of the art
Li, S., Kang, X., Fang, L., Hu, J., & Yin, H. (2017) · Information Fusion · doi:10.1016/j.inffus.2016.05.004 · Cited by 1,276
Cited by
SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer
Ma, J., Tang, L., Fan, F., Huang, J., Mei, X., & Ma, Y. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105686 · Cited by 1,526
Self-citationDDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Zhao, Z., Bai, H., Zhu, Y., Zhang, J., Xu, S., Zhang, Y., Zhang, K., Meng, D., Timofte, R., & Van Gool, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00742 · Cited by 431
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models
Yue, J., Fang, L., Xia, S., Deng, Y., & Ma, J. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3322046 · Cited by 304
Self-citationMetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection
Zhao, W., Xie, S., Zhao, F., He, Y., & Lu, H. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.01341 · Cited by 259
Triple Robustness Augmentation Local Features for multi-source image registration
Wang, C., Xu, L., Xu, R., Xu, S., Meng, W., Wang, R., & Zhang, X. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.03.023 · Cited by 22
Metadata
- Authors
- Tang, L., Yuan, J., Zhang, H., Jiang, X., & Ma, J.
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2022-07
- Volume
- 83-84
- Pages
- 79-92
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W4220893768
- Cited by
- 1,161
- References
- 50
- FWCI
- 77.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: PIAFusion: A progressive infrared and visible image fusion network based on illumination aware. https://app.cochat.ai/papers/10.1016/j.inffus.2022.03.007
- The paper
- Tang, L., Yuan, J., Zhang, H., Jiang, X., & Ma, J. (2022). PIAFusion: A progressive infrared and visible image fusion network based on illumination aware. Information Fusion. https://doi.org/10.1016/j.inffus.2022.03.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
