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We propose a novel network that learns a part-aligned representation for person re-identification.
Viewpoint invariant pedestrian recognition with an ensemble of localized features
Gray, D., Tao, H.: · 2008
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Visualizing data using t-sne
Maaten, L.v.d., Hinton, G.: · 2008
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Person re-identification using spatial covariance regions of human body parts
Bak, S., Corvée, E., Brémond, F., Thonnat, M.: · 2010
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Person re-identification by symmetry-driven accumulation of local features
Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: · 2010
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Understanding the difficulty of training deep feedforward neural networks
Glorot, X., Bengio, Y.: · 2010
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Custom pictorial structures for re-identification
Cheng, D.S., Cristani, M., Stoppa, M., Bazzani, L., Murino, V.: · 2011
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Sift flow: Dense correspondence across scenes and its applications
Liu, C., Yuen, J., Torralba, A.: · 2011
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Local descriptors encoded by fisher vectors for person re-identification
Ma, B., Su, Y., Jurie, F.: · 2012
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Human reidentification with transferred metric learning
Li, W., Zhao, R., Wang, X.: · 2012
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Human re-identification by matching compositional template with cluster sampling
Xu, Y., Lin, L., Zheng, W., Liu, X.: · 2013
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Appearance-based 3d upper-body pose estimation and person re-identification on mobile robots
Weinrich, C., Gross, M.V.H.M.: · 2013
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Fast and scalable polynomial kernels via explicit feature maps
Pham, N., Pagh, R.: · 2013
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Deepreid: Deep filter pairing neural network for person re-identification
Li, W., Zhao, R., Xiao, T., Wang, X.: · 2014
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Deep metric learning for person re-identification
Yi, D., Lei, Z., Liao, S., Li, S.Z.: · 2014
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Learning mid-level filters for person re-identification
Zhao, R., Ouyang, W., Wang, X.: · 2014
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Person re-identification by articulated appearance matching
Cheng, D.S., Cristani, M.: · 2014
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Microsoft coco: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
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Learning to rank in person re-identification with metric ensembles
Paisitkriangkrai, S., Shen, C., van den Hengel, A.: · 2015
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An improved deep learning architecture for person re-identification
Ahmed, E., Jones, M., Marks, T.K.: · 2015
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Person re-identification by local maximal occurrence representation and metric learning
Liao, S., Hu, Y., Zhu, X., Li, S.Z.: · 2015
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Efficient psd constrained asymmetric metric learning for person re-identification
Liao, S., Li, S.Z.: · 2015
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Multi-scale learning for low-resolution person re-identification
Li, X., Zheng, W.S., Wang, X., Xiang, T., Gong, S.: · 2015
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Super-resolution person re-identification with semi-coupled low-rank discriminant dictionary learning
Jing, X.Y., Zhu, X., Wu, F., You, X., Liu, Q., Yue, D., Hu, R., Xu, B.: · 2015
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Similarity learning on an explicit polynomial kernel feature map for person re-identification
Chen, D., Yuan, Z., Hua, G., Zheng, N., Wang, J.: · 2015
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Person re-identification with correspondence structure learning
Shen, Y., Lin, W., Yan, J., Xu, M., Wu, J., Wang, J.: · 2015
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Multi-task learning with low rank attribute embedding for person re-identification
Su, C., Yang, F., Zhang, S., Tian, Q., Davis, L.S., Gao, W.: · 2015
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Transferring a semantic representation for person re-identification and search
Shi, Z., Hospedales, T.M., Xiang, T.: · 2015
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Query-adaptive late fusion for image search and person re-identification
Zheng, L., Wang, S., Tian, L., He, F., Liu, Z., Tian, Q.: · 2015
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Person re-identification ranking optimisation by discriminant context information analysis
Garcia, J., Martinel, N., Micheloni, C., Gardel, A.: · 2015
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Partial person re-identification
Zheng, W.S., Li, X., Xiang, T., Liao, S., Lai, J., Gong, S.: · 2015
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Bilinear cnn models for fine-grained visual recognition
Lin, T.Y., RoyChowdhury, A., Maji, S.: · 2015
Cited alongside, same era.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A., et al.: · 2015
Cited alongside, same era.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: · 2015
Cited alongside, same era.
Scalable person re-identification: A benchmark
Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., Tian, Q.: · 2015
Cited alongside, same era.
Learning deep feature representations with domain guided dropout for person re-identification
Xiao, T., Li, H., Ouyang, W., Wang, X.: · 2016
Deep transfer learning for person re-identification
Geng, M., Wang, Y., Xiang, T., Tian, Y.: · 2016
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A discriminatively learned cnn embedding for person re-identification
Zheng, Z., Zheng, L., Yang, Y.: · 2016
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Recurrent convolutional network for video-based person re-identification
McLaughlin, N., Martinez del Rincon, J., Miller, P.: · 2016
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Multi people tracking with lifted multicut and person re-identification
Tang, S., Andriluka, M., Andres, B., Schiele, B.: · 2017
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Pose-driven deep convolutional model for person re-identification
Su, C., Li, J., Zhang, S., Xing, J., Gao, W., Tian, Q.: · 2017
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Cited alongside, same era.
MARS: A video benchmark for large-scale person re-identification
Zheng, L., Bie, Z., Sun, Y., Wang, J., Su, C., Wang, S., Tian, Q.: · 2016
Cited alongside, same era.
Personnet: Person re-identification with deep convolutional neural networks
Wu, L., Shen, C., van den Hengel, A.: · 2016
Cited alongside, same era.
Deep ranking for person re-identification via joint representation learning
Chen, S.Z., Guo, C.C., Lai, J.H.: · 2016
Cited alongside, same era.
End-to-end deep learning for person search
Xiao, T., Li, S., Wang, B., Lin, L., Wang, X.: · 2016
Cited alongside, same era.
Semantics-aware deep correspondence structure learning for robust person re-identification
Zhang, Y., Li, X., Zhao, L., Zhang, Z.: · 2016
Cited alongside, same era.
Person re-identification by multi-channel parts-based cnn with improved triplet loss function
Cheng, D., Gong, Y., Zhou, S., Wang, J., Zheng, N.: · 2016
Cited alongside, same era.
Zheng, L., Huang, Y., Lu, H., Yang, Y.: · 2017
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Spindle net: Person re-identification with human body region guided feature decomposition and fusion
Zhao, H., Tian, M., Sun, S., Shao, J., Yan, J., Yi, S., Wang, X., Tang, X.: · 2017
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Learning deep context-aware features over body and latent parts for person re-identification
Li, D., Chen, X., Zhang, Z., Huang, K.: · 2017
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Deeply-learned part-aligned representations for person re-identification
Zhao, L., Li, X., Zhuang, Y., Wang, J.: · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: · 2017
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Hydraplus-net: Attentive deep features for pedestrian analysis
Liu, X., Zhao, H., Tian, M., Sheng, L., Shao, J., Yi, S., Yan, J., Wang, X.: · 2017
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Hadamard product for low-rank bilinear pooling
Kim, J.H., On, K.W., Kim, J., Ha, J.W., Zhang, B.T.: · 2017
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Multiregion bilinear convolutional neural networks for person re-identification
Ustinova, E., Ganin, Y., Lempitsky, V.: · 2017
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Improving person re-identification by attribute and identity learning
Lin, Y., Zheng, L., Zheng, Z., Wu, Y., Yang, Y.: · 2017
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Re-ranking person re-identification with k-reciprocal encoding
Zhong, Z., Zheng, L., Cao, D., Li, S.: · 2017
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In defense of the triplet loss for person re-identification
Hermans, A., Beyer, L., Leibe, B.: · 2017
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Svdnet for pedestrian retrieval
Sun, Y., Zheng, L., Deng, W., Wang, S.: · 2017
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Scalable person re-identification on supervised smoothed manifold
Bai, S., Bai, X., Tian, Q.: · 2017
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Person re-identification by camera correlation aware feature augmentation
Chen, Y.C., Zhu, X., Zheng, W.S., Lai, J.H.: · 2017
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Zhang, Y., Xiang, T., Hospedales, T.M., Lu, H.: · 2017
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Random erasing data augmentation
Zhong, Z., Zheng, L., Kang, G., Shaozi, L., Yi, Y.: · 2017
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Person re-identification by deep learning multi-scale representations
Chen, Y., Zhu, X., Gong, S.: · 2017
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Unlabeled samples generated by gan improve the person re-identification baseline in vitro
Zheng, Z., Zheng, L., Yang, Y.: · 2017
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Joint detection and identification feature learning for person search
Xiao, T., Li, S., Wang, B., Lin, L., Wang, X.: · 2017
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Person re-identification by deep learning attribute-complementary information
Schumann, A., Stiefelhagen, R.: · 2017
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Jointly attentive spatial-temporal pooling networks for video-based person re-identification
Xu, S., Cheng, Y., Gu, K., Yang, Y., Chang, S., Zhou, P.: · 2017
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Video-based person re-identification with accumulative motion context
Liu, H., Jie, Z., Jayashree, K., Qi, M., Jiang, J., Yan, S.: · 2017
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See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification
Zhou, Z., Huang, Y., Wang, W., Wang, L., Tan, T.: · 2017
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Quality aware network for set to set recognition
Liu, Y., Yan, J., Ouyang, W.: · 2017
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