The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Bounding Part Scores for Rapid Detection with Deformable Part Models
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Vector Quantization can be used for data compression and accelerating the inner product operation in object detection.
“It can be used for data compression and accelerating the inner product operation in object detection [164, 165].”
From Object Detection in 20 Years: A Survey (2023) · cites this paper as [165]
Citations
Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
Rapid object detection using a boosted cascade of simple features
Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300
Object Detection with Discriminatively Trained Part-Based Models
Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853
Vedaldi, A., & Fulkerson, B. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1874249 · Cited by 2,691
Probability and computing: randomized algorithms and probabilistic analysis
Mitzenmacher, M., & Upfal, E. (2005) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,892
Mitzenmacher, M., & Upfal, E. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511813603 · Cited by 1,739
Cascade object detection with deformable part models
Felzenszwalb, P. F., Girshick, R., & McAllester, D. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539906 · Cited by 929
Beyond sliding windows: Object localization by efficient subwindow search
Lampert, C. H., Blaschko, M. B., & Hofmann, T. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587586 · Cited by 693
Efficient matching of pictorial structures
Felzenszwalb, P. F., & Huttenlocher, D. P. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2000.854739 · Cited by 310
Fleuret, F., & Geman, D. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011113216584 · Cited by 273
Cascaded Models for Articulated Pose Estimation
Sapp, B., Toshev, A., & Taskar, B. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15552-9_30 · Cited by 223
A coarse-to-fine approach for fast deformable object detection
Pedersoli, M., Vedaldi, A., & Gonzàlez, J. (2011) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2011.5995668 · Cited by 122
Sparse kernel approximations for efficient classification and detection
Vedaldi, A., & Zisserman, A. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247943 · Cited by 85
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
Kokkinos, I. (2011) · Cited by 49
Self-citationAn efficient divide-and-conquer cascade for nonlinear object detection
Lampert, C. H. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540107 · Cited by 44
An efficient branch-and-bound algorithm for optimal human pose estimation
Sun, M., Telaprolu, M., Lee, H., et al. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247854 · Cited by 35
HOP: Hierarchical object parsing
Kokkinos, I., & Yuille, A. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206639 · Cited by 33
Self-citationDaniilidis, K., Maragos, P. A., & Paragios, N. (2011) · Cited by 3
Rapid Deformable Object Detection using Bounding-based Techniques
Kokkinos, I. (2012) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 3
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Object Detection in 20 Years: A Survey
Zou, Z., Chen, K., Shi, Z., Guo, Y., & Ye, J. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3238524 · Cited by 3,689
“It can be used for data compression and accelerating the inner product operation in object detection [164], [165].”
Metadata
- Authors
- Kokkinos, I.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Kokkinos, Iasonas
- ORCID
- Kokkinos, Iasonas
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 41-50
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2272000905
- Cited by
- 27
- References
- 19
- Citations by year
- 2023: 2 · 2020: 1 · 2018: 1 · 2017: 4 · 2016: 8 · 2015: 4 · 2014: 4 · 2013: 3
- FWCI
- 2.50
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- deformable part models, probability bounds, Chebyshev inequality, histogram of oriented gradients, codebook quantization, branch and bound, cascade detection
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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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