The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance
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Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
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
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298594 · Cited by 48,562
Self-citationGirshick, R. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.169 · Cited by 28,105
Caffe: Convolutional Architecture for Fast Feature Embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654889 · Cited by 11,077
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367
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
Learning a Similarity Metric Discriminatively, with Application to Face Verification
Chopra, S., Hadsell, R., & LeCun, Y. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.202 · Cited by 4,036
DeViSE: A Deep Visual-Semantic Embedding Model
Frome, A., Corrado, G. S., Shlens, J., Samy Bengio, A., Dean, J., Ranzato, M., & Mikolov, T. (2013) · Cited by 2,308
Person re-identification by Local Maximal Occurrence representation and metric learning
Liao, S., Hu, Y., Zhu, X., & Li, S. Z. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298832 · Cited by 2,091
Cited by
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System
Chen, C., Liu, B., Wan, S., Qiao, P., & Pei, Q. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3025687 · Cited by 429
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Rao, Y., Chen, G., Lu, J., & Zhou, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00106 · Cited by 380
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals
Shen, Y., Xiao, T., Li, H., Yi, S., & Wang, X. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.210 · Cited by 303
Task-Oriented Communication for Multidevice Cooperative Edge Inference
Shao, J., Mao, Y., & Zhang, J. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3191118 · Cited by 209
Machine learning for next-generation intelligent transportation systems: A survey
Yuan, T., Da Rocha Neto, W., Rothenberg, C. E., Obraczka, K., Barakat, C., & Turletti, T. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4427 · Cited by 179
Metadata
- Authors
- Liu, X., Liu, W., Mei, T., & Ma, H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 869-884
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2519904008
- Cited by
- 641
- References
- 27
- FWCI
- 12.22
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance. https://app.cochat.ai/papers/10.1007/978-3-319-46475-6_53
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- Liu, X., Liu, W., Mei, T., & Ma, H. (2016). A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-46475-6_53
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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.
