The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Depth Matters: Influence of Depth Cues on Visual Saliency
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Citations
Cites
A model of saliency-based visual attention for rapid scene analysis
Itti, L., Koch, C., & Niebur, E. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.730558 · Cited by 11,271
Frequency-tuned salient region detection
Achanta, R., Hemami, S., Estrada, F., & Susstrunk, S. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206596 · Cited by 4,167
Harel, J., Koch, C., & Perona, P. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0073 · Cited by 3,439
Learning to predict where humans look
Judd, T., Ehinger, K., Durand, F., & Torralba, A. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459462 · Cited by 2,016
What attributes guide the deployment of visual attention and how do they do it?
Wolfe, J. M., & Horowitz, T. S. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1411 · Cited by 1,766 · cited 1×
“humans in the understanding of their surrounding and play an important role in visual attention [10].”
BackgroundModeling visual attention via selective tuning
Tsotsos, J. K., Culhane, S. M., Kei Wai, W. Y., Lai, Y., Davis, N., & Nuflo, F. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(95)00025-9 · Cited by 1,143
Saliency Based on Information Maximization
Bruce, N. D. B., & Tsotsos, J. K. (2005) · neural information processing systems · Cited by 1,134
ClassCut for Unsupervised Class Segmentation
Alexe, B., Deselaers, T., & Ferrari, V. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15555-0_28 · Cited by 993
Serial and parallel processing of visual feature conjunctions
Nakayama, K., & Silverman, G. H. (1986) · Nature · doi:10.1038/320264a0 · Cited by 863
Static and space-time visual saliency detection by self-resemblance
Seo, H. J., & Milanfar, P. (2009) · Journal of Vision · doi:10.1167/9.12.15 · Cited by 633
Cited by
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Jiang, H., Wang, J., Yuan, Z., Wu, Y., Zheng, N., & Li, S. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.271 · Cited by 1,147
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations
Kruthiventi, S. S. S., Ayush, K., & Babu, R. V. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2710620 · Cited by 478
Review of Visual Saliency Detection With Comprehensive Information
Cong, R., Lei, J., Fu, H., Cheng, M.-M., Lin, W., & Huang, Q. (2019) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2018.2870832 · Cited by 419
Specificity-preserving RGB-D saliency detection
Zhou, T., Fan, D.-P., Chen, G., Zhou, Y., & Fu, H. (2023) · Computational Visual Media · doi:10.1007/s41095-022-0268-6 · Cited by 259
MobileSal: Extremely Efficient RGB-D Salient Object Detection
Wu, Y.-H., Liu, Y., Xu, J., Bian, J.-W., Gu, Y.-C., & Cheng, M.-M. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3134684 · Cited by 176
Metadata
- Authors
- Lang, C., Nguyen, T. V., Katti, H., Yadati, K., Kankanhalli, M., & Yan, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 101-115
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1497443722
- Cited by
- 264
- References
- 26
- FWCI
- 12.99
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Depth Matters: Influence of Depth Cues on Visual Saliency. https://app.cochat.ai/papers/10.1007/978-3-642-33709-3_8
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- Lang, C., Nguyen, T. V., Katti, H., Yadati, K., Kankanhalli, M., & Yan, S. (2012). Depth Matters: Influence of Depth Cues on Visual Saliency. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-33709-3_8
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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.
