The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Are we ready for autonomous driving? The KITTI vision benchmark suite
Geiger, A., Lenz, P., & Urtasun, R. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6248074 · Cited by 14,897
(2010) · International Conference on Machine Learning · Cited by 13,995
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
Cited by
Deep Learning on Image Denoising: An overview
Tian, C., Fei, L., Zheng, W., Xu, Y., Zuo, W., & Lin, C.-W. (2020) · Neural Networks · doi:10.1016/j.neunet.2020.07.025 · Cited by 1,091
DEA-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
Xiao, J., Fu, X., Liu, A., Wu, F., & Zha, Z.-J. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3183612 · Cited by 389
Metadata
- Authors
- Ren, W., Pan, J., Zhang, H., Cao, X., & Yang, M.-H.
- Venue
- International Journal of Computer Vision
- Published
- 2019-09-24
- Volume
- 128
- Issue
- 1
- Pages
- 240-259
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2976715267
- Cited by
- 382
- References
- 54
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges. https://app.cochat.ai/papers/10.1007/s11263-019-01235-8
- The paper
- Ren, W., Pan, J., Zhang, H., Cao, X., & Yang, M.-H. (2020). Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges. International Journal of Computer Vision. https://doi.org/10.1007/s11263-019-01235-8
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.
