The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Semi-Local Affine Parts for Object Recognition
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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
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
Matas, J., Chum, O., Urban, M., & Pajdla, T. (2002) · Procedings of the British Machine Vision Conference 2002 · doi:10.5244/c.16.36 · Cited by 1,350
Cited by
Zhang, J., Marszałek, M., Lazebnik, S., & Schmid, C. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-9794-4 · Cited by 1,923
Self-citation50 Years of object recognition: Directions forward
Andreopoulos, A., & Tsotsos, J. K. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.04.005 · Cited by 347
Automatic annotation of human actions in video
Duchenne, O., Laptev, I., Sivic, J., Bach, F., & Ponce, J. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459279 · Cited by 275
Self-citationSelf-Supervised Representation Learning by Rotation Feature Decoupling
Feng, Z., Xu, C., & Tao, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.01061 · Cited by 225
Semantic structure from motion with points, regions, and objects
Bao, S. Y., Bagra, M., Chao, Y.-W., & Savarese, S. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247992 · Cited by 107
Metadata
- Authors
- Lazebnik, S., Schmid, C., & Ponce, J.
- Venue
- Procedings of the British Machine Vision Conference 2004
- Publisher
- British Machine Vision Association
- Published
- 2004
- Pages
- 98.1-98.10
- OpenAlex
- W2157629193
- Cited by
- 223
- References
- 2
- FWCI
- 10.52
- Type
- conference paper
- Language
- en
- Open access
- green
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- Lazebnik, S., Schmid, C., & Ponce, J. (2004). Semi-Local Affine Parts for Object Recognition. Procedings of the British Machine Vision Conference 2004. https://doi.org/10.5244/c.18.98
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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.
