The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Query-adaptive late fusion for image search and person re-identification
Abstract
Feature fusion has been proven effective [35, 36] in image search. Typically, it is assumed that the to-be-fused heterogeneous features work well by themselves for the query. However, in a more realistic situation, one does not know in advance whether a feature is effective or not for a given query. As a result, it is of great importance to identify feature effectiveness in a query-adaptive manner.
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Cites
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Robust Face Recognition via Sparse Representation
Wright, J., Yang, A. Y., Ganesh, A., Sastry, S. S., & Ma, Y. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.79 · Cited by 9,388
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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Score normalization in multimodal biometric systems
Jain, A., Nandakumar, K., & Ross, A. (2005) · Pattern Recognition · doi:10.1016/j.patcog.2005.01.012 · Cited by 2,154
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
Jegou, H., Douze, M., & Schmid, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_24 · Cited by 1,901 · cited 6×
“A 20k codebook is trained on Flickr60k dataset [10].”
BackgroundMethodInfluentialPerson re-identification by symmetry-driven accumulation of local features
Farenzena, M., Bazzani, L., Perina, A., Murino, V., & Cristani, M. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539926 · Cited by 1,499
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
Gray, D., & Tao, H. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_21 · Cited by 1,466
Three things everyone should know to improve object retrieval
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Cited by
Scalable Person Re-identification: A Benchmark
Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., & Tian, Q. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.133 · Cited by 4,506
Self-citationMARS: A Video Benchmark for Large-Scale Person Re-Identification
Zheng, L., Bie, Z., Sun, Y., Wang, J., Su, C., Wang, S., & Tian, Q. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46466-4_52 · Cited by 965
Self-citationPose-Driven Deep Convolutional Model for Person Re-identification
Su, C., Li, J., Zhang, S., Xing, J., Gao, W., & Tian, Q. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.427 · Cited by 832
Self-citationPerson Re-identification in the Wild
Zheng, L., Zhang, H., Sun, S., Chandraker, M., Yang, Y., & Tian, Q. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.357 · Cited by 830
Self-citationPerson Re-Identification by Camera Correlation Aware Feature Augmentation
Chen, Y.-C., Zhu, X., Zheng, W.-S., & Lai, J.-H. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2666805 · Cited by 339
Metadata
- Authors
- Zheng, L., Wang, S., Tian, L., He, F., Liu, Z., & Tian, Q.
- Venue
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2015-06
- Pages
- 1741-1750
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W1935207225
- Cited by
- 292
- References
- 38
- FWCI
- 24.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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