The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Single Image Dehazing via Multi-scale Convolutional Neural Networks
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Cites
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Single image haze removal using dark channel prior
He, K., Sun, J., & Tang, X. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.168 · Cited by 7,601
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740
Indoor segmentation and support inference from rgbd images
Silberman, N., Hoiem, D., Kohli, P., & Fergus, R. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33715-4_54 · Cited by 5,760
He, K., Sun, J., & Tang, X. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.213 · Cited by 5,546
Learning a Deep Convolutional Network for Image Super-Resolution
Dong, C., Loy, C. C., He, K., & Tang, X. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10593-2_13 · Cited by 5,494
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Eigen, D., Puhrsch, C., & Fergus, R. (2014) · arXiv · doi:10.48550/arxiv.1406.2283 · Cited by 3,442
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
Zhu, Q., Mai, J., & Shao, L. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2446191 · Cited by 2,469
Visibility in bad weather from a single image
Tan, R. T. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587643 · Cited by 2,280
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Cited by
An Underwater Image Enhancement Benchmark Dataset and Beyond
Li, C., Guo, C., Ren, W., Cong, R., Hou, J., Kwong, S., & Tao, D. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2955241 · Cited by 2,373
Self-citationDensity-Aware Single Image De-raining Using a Multi-stream Dense Network
Zhang, H., & Patel, V. M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00079 · Cited by 1,066
Self-citationDEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention
Chen, Z., He, Z., & Lu, Z.-M. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3354108 · Cited by 938
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
Qian, R., Tan, R. T., Yang, W., Su, J., & Liu, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00263 · Cited by 821
Low-Light Image Enhancement via a Deep Hybrid Network
Ren, W., Liu, S., Ma, L., Xu, Q., Xu, X., Cao, X., Du, J., & Yang, M.-H. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2910412 · Cited by 508
Self-citation
Metadata
- Authors
- Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., & Yang, M.-H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 154-169
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2519481857
- Cited by
- 1,759
- References
- 37
- FWCI
- 39.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Single Image Dehazing via Multi-scale Convolutional Neural Networks. https://app.cochat.ai/papers/10.1007/978-3-319-46475-6_10
- The paper
- Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., & Yang, M.-H. (2016). Single Image Dehazing via Multi-scale Convolutional Neural Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-46475-6_10
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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.
