The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields
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Citations
Cites
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
Flownet: Learning optical flow with convolutional networks
Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Smagt, P. V. D., Cremers, D., & Brox, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.316 · Cited by 4,313
Object scene flow for autonomous vehicles
Menze, M., & Geiger, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298925 · Cited by 2,270
A Naturalistic Open Source Movie for Optical Flow Evaluation
Butler, D. J., Wulff, J., Stanley, G. B., & Black, M. J. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33783-3_44 · Cited by 1,842
Cited by
Light Field Image Processing: An Overview
Wu, G., Masia, B., Jarabo, A., Zhang, Y., Wang, L., Dai, Q., Chai, T., & Liu, Y. (2017) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2017.2747126 · Cited by 586
Adaptive EPI-Matching Cost for Light Field Disparity Estimation
Wang, T., Sheng, H., Chen, R., Cong, R., Zhao, M., & Cui, Z. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3488147 · Cited by 348
Shin, C., Jeon, H.-G., Yoon, Y., Kweon, I. S., & Kim, S. J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00499 · Cited by 319
Metadata
- Authors
- Honauer, K., Johannsen, O., Kondermann, D., & Goldluecke, B.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 19-34
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2591697814
- Cited by
- 642
- References
- 4
- FWCI
- 14.88
- Type
- conference paper
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields. https://app.cochat.ai/papers/10.1007/978-3-319-54187-7_2
- The paper
- Honauer, K., Johannsen, O., Kondermann, D., & Goldluecke, B. (2017). A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-54187-7_2
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.
