The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Densely Connected Convolutional Networks
Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.243 · Cited by 48,566
Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460
Vlfeat: an open and portable library of computer vision algorithms
Vedaldi, A., & Fulkerson, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1874249 · Cited by 2,664
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
Image Fusion With Guided Filtering
Li, S., Kang, X., & Hu, J. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2244222 · Cited by 1,781
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-citationMulti-focus image fusion with a deep convolutional neural network
Liu, Y., Chen, X., Peng, H., & Wang, Z. (2017) · Information Fusion · doi:10.1016/j.inffus.2016.12.001 · Cited by 1,327
Cited by
DDFM: 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-citationDegradation-Resistant Unfolding Network for Heterogeneous Image Fusion
He, C., Li, K., Xu, G., Zhang, Y., Hu, R., Guo, Z., & Li, X. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01159 · Cited by 37
Metadata
- Authors
- Zhang, H., & Ma, J.
- Venue
- International Journal of Computer Vision
- Published
- 2021-07-30
- Volume
- 129
- Issue
- 10
- Pages
- 2761-2785
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W3190808861
- Cited by
- 747
- References
- 45
- FWCI
- 39.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion. https://app.cochat.ai/papers/10.1007/s11263-021-01501-8
- The paper
- Zhang, H., & Ma, J. (2021). SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion. International Journal of Computer Vision. https://doi.org/10.1007/s11263-021-01501-8
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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.
