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Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance.
A. Plantinga, “Things and persons,” The Review of Metaphysics , pp. 493–519, 1961
1961
Earlier work this paper cites.
A. O. Rorty, “The transformations of persons,” Philosophy , vol. 48, no. 185, pp. 261–275, 1973
1973
Earlier work this paper cites.
N. B. Cocchiarella, “Sortals, natural kinds and re-identification,” Logique et analyse , vol. 80, pp. 439–474, 1977
1977
Earlier work this paper cites.
X. Zhou, N. Cui, Z. Li, F. Liang, and T. S. Huang, “Hierarchical gaussianization for image classification,” in 2009 IEEE 12th International Conference on Computer Vision . IEEE, 2009, pp. 1971–1977
1977
Earlier work this paper cites.
J. Bromley, J. W. Bentz, L. Bottou, I. Guyon, Y. LeCun, C. Moore, E. Säckinger, and R. Shah, “Signature verification using a ¡°siamese¡± time delay neural network,” International Journal of Pattern Recognition and Artificial Intelligence , vol. 7, no. 04, pp. 669–688, 1993
1993
Earlier work this paper cites.
C. C. Loy, T. Xiang, and S. Gong, “Multi-camera activity correlation analysis,” in IEEE Conference on Computer Vision and Pattern Recognition , 2009, pp. 1988–1995
1995
Earlier work this paper cites.
T. Huang and S. Russell, “Object identification in a bayesian context,” in IJCAI , vol. 97, 1997, pp. 1276–1282
1997
Earlier work this paper cites.
B. Scholkopft and K.-R. Mullert, “Fisher discriminant analysis with kernels,” Neural networks for signal processing IX , vol. 1, no. 1, p. 1, 1999
1999
Earlier work this paper cites.
E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, “Distance metric learning with application to clustering with side-information,” Advances in neural information processing systems , vol. 15, pp. 505–512, 2003
2003
Earlier work this paper cites.
K. Q. Weinberger, J. Blitzer, and L. K. Saul, “Distance metric learning for large margin nearest neighbor classification,” in Advances in neural information processing systems , 2005, pp. 1473–1480
2005
Earlier work this paper cites.
N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” in IEEE Conference on Computer Vision and Pattern Recognition , 2005, pp. 886–893
2005
Earlier work this paper cites.
N. Gheissari, T. B. Sebastian, and R. Hartley, “Person reidentification using spatiotemporal appearance,” in 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06) , vol. 2. IEEE, 2006, pp. 1528–1535
2006
Earlier work this paper cites.
L. Yang and R. Jin, “Distance metric learning: A comprehensive survey,” Michigan State Universiy , vol. 2, p. 78, 2006
2006
Earlier work this paper cites.
J. Man and B. Bhanu, “Individual recognition using gait energy image,” IEEE transactions on pattern analysis and machine intelligence , vol. 28, no. 2, pp. 316–322, 2006
2006
Earlier work this paper cites.
D. Nister and H. Stewenius, “Scalable recognition with a vocabulary tree,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2006, pp. 2161–2168
2006
Earlier work this paper cites.
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, “Object retrieval with large vocabularies and fast spatial matching,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2007, pp. 1–8
2007
Earlier work this paper cites.
J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon, “Information-theoretic metric learning,” in Proceedings of the 24th international conference on Machine learning . ACM, 2007, pp. 209–216
2007
Earlier work this paper cites.
D. Gray, S. Brennan, and H. Tao, “Evaluating appearance models for recognition, reacquisition, and tracking,” in Proc. IEEE International Workshop on Performance Evaluation for Tracking and Surveillance (PETS) , vol. 3, no. 5. Citeseer, 2007
2007
Earlier work this paper cites.
A. Ess, B. Leibe, and L. Van Gool, “Depth and appearance for mobile scene analysis,” in IEEE International Conference on Computer Vision . IEEE, 2007, pp. 1–8
2007
Earlier work this paper cites.
D. Gray and H. Tao, “Viewpoint invariant pedestrian recognition with an ensemble of localized features,” in European conference on computer vision . Springer, 2008, pp. 262–275
2008
Earlier work this paper cites.
O. Hamdoun, F. Moutarde, B. Stanciulescu, and B. Steux, “Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences,” in ACM/IEEE International Conference on Distributed Smart Cameras , 2008, pp. 1–6
2008
Earlier work this paper cites.
A. Klaser, M. Marszałek, and C. Schmid, “A spatio-temporal descriptor based on 3d-gradients,” in BMVC 2008-19th British Machine Vision Conference . British Machine Vision Association, 2008, pp. 275–1
2008
Earlier work this paper cites.
K. Bernardin and R. Stiefelhagen, “Evaluating multiple object tracking performance: the clear mot metrics,” EURASIP Journal on Image and Video Processing , vol. 2008, no. 1, pp. 1–10, 2008
2008
Earlier work this paper cites.
H. Jegou, M. Douze, and C. Schmid, “Hamming embedding and weak geometric consistency for large scale image search,” in European conference on computer vision , 2008, pp. 304–317
2008
Earlier work this paper cites.
J. Van De Weijer, C. Schmid, J. Verbeek, and D. Larlus, “Learning color names for real-world applications,” IEEE Transactions on Image Processing , vol. 18, no. 7, pp. 1512–1523, 2009
2009
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2009, pp. 248–255
2009
Earlier work this paper cites.
W.-S. Zheng, S. Gong, and T. Xiang, “Associating groups of people,” in Proceedings of the British Machine Vision Conference , 2009, pp. 23.1–23.11
2009
Earlier work this paper cites.
D. N. T. Cong, C. Achard, L. Khoudour, and L. Douadi, “Video sequences association for people re-identification across multiple non-overlapping cameras,” in International Conference on Image Analysis and Processing . Springer, 2009, pp. 179–189
2009
Earlier work this paper cites.
Y. Weiss, A. Torralba, and R. Fergus, “Spectral hashing,” in Advances in neural information processing systems , 2009, pp. 1753–1760
2009
Earlier work this paper cites.
A. Krizhevsky and G. Hinton, “Learning multiple layers of features from tiny images,” 2009
2009
Earlier work this paper cites.
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y. Zheng, “Nus-wide: a real-world web image database from national university of singapore,” in Proceedings of the ACM international conference on image and video retrieval , 2009, p. 48
2009
Earlier work this paper cites.
L. Bazzani, M. Cristani, A. Perina, M. Farenzena, and V. Murino, “Multiple-shot person re-identification by hpe signature,” in Pattern Recognition (ICPR), 2010 20th International Conference on . IEEE, 2010, pp. 1413–1416
2010
Earlier work this paper cites.
M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, “Person re-identification by symmetry-driven accumulation of local features,” in Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on . IEEE, 2010, pp. 2360–2367
2010
Earlier work this paper cites.
B. Prosser, W.-S. Zheng, S. Gong, T. Xiang, and Q. Mary, “Person re-identification by support vector ranking.” in BMVC , vol. 2, no. 5, 2010, p. 6
2010
Earlier work this paper cites.
F. Perronnin, J. Sánchez, and T. Mensink, “Improving the fisher kernel for large-scale image classification,” in European Conference on Computer Vision , 2010, pp. 143–156
2010
Earlier work this paper cites.
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan, “Object detection with discriminatively trained part-based models,” IEEE transactions on pattern analysis and machine intelligence , vol. 32, no. 9, pp. 1627–1645, 2010
2010
Earlier work this paper cites.
H. Jégou, M. Douze, C. Schmid, and P. Pérez, “Aggregating local descriptors into a compact image representation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2010, pp. 3304–3311
2010
Earlier work this paper cites.
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman, “The pascal visual object classes (voc) challenge,” International journal of computer vision , vol. 88, no. 2, pp. 303–338, 2010
2010
Earlier work this paper cites.
L. Deng, M. L. Seltzer, D. Yu, A. Acero, A.-r. Mohamed, and G. E. Hinton, “Binary coding of speech spectrograms using a deep auto-encoder.” in Interspeech . Citeseer, 2010, pp. 1692–1695
2010
Earlier work this paper cites.
D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino, “Custom pictorial structures for re-identification,” in British Machine Vision Conference , 2011
2011
Earlier work this paper cites.
M. Hirzer, C. Beleznai, P. M. Roth, and H. Bischof, “Person re-identification by descriptive and discriminative classification,” in Scandinavian conference on Image analysis , 2011, pp. 91–102
2011
Earlier work this paper cites.
D. Baltieri, R. Vezzani, and R. Cucchiara, “3dpes: 3d people dataset for surveillance and forensics,” in Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding . ACM, 2011, pp. 59–64
2011
Earlier work this paper cites.
J. Berclaz, F. Fleuret, E. Turetken, and P. Fua, “Multiple object tracking using k-shortest paths optimization,” IEEE transactions on pattern analysis and machine intelligence , vol. 33, no. 9, pp. 1806–1819, 2011
2011
Earlier work this paper cites.
Y. Zhang, Z. Jia, and T. Chen, “Image retrieval with geometry-preserving visual phrases,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2011, pp. 809–816
2011
Earlier work this paper cites.
Y. Gong and S. Lazebnik, “Iterative quantization: A procrustean approach to learning binary codes,” in IEEE Conference on Computer Vision and Pattern Recognition , 2011, pp. 817–824
2011
Earlier work this paper cites.
D. Qin, S. Gammeter, L. Bossard, T. Quack, and L. Van Gool, “Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2011, pp. 777–784
2011
Earlier work this paper cites.
T. D’Orazio and G. Cicirelli, “People re-identification and tracking from multiple cameras: a review,” in 2012 19th IEEE International Conference on Image Processing . IEEE, 2012, pp. 1601–1604
2012
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems , 2012, pp. 1097–1105
2012
Earlier work this paper cites.
A. Mignon and F. Jurie, “Pcca: A new approach for distance learning from sparse pairwise constraints,” in IEEE Conference on Computer Vision and Pattern Recognition . IEEE, 2012, pp. 2666–2672
2012
Earlier work this paper cites.
R. Layne, T. M. Hospedales, S. Gong, and Q. Mary, “Person re-identification by attributes.” in BMVC , vol. 2, no. 3, 2012, p. 8
2012
Earlier work this paper cites.
X. Liu, M. Song, Q. Zhao, D. Tao, C. Chen, and J. Bu, “Attribute-restricted latent topic model for person re-identification,” Pattern recognition , vol. 45, no. 12, pp. 4204–4213, 2012
2012
Earlier work this paper cites.
C. Liu, S. Gong, C. C. Loy, and X. Lin, “Person re-identification: What features are important?” in European Conference on Computer Vision Workshops . Springer, 2012, pp. 391–401
2012
Earlier work this paper cites.
M. Köstinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof, “Large scale metric learning from equivalence constraints,” in IEEE Conference on Computer Vision and Pattern Recognition , 2012, pp. 2288–2295
2012
Earlier work this paper cites.
M. Hirzer, P. M. Roth, M. Köstinger, and H. Bischof, “Relaxed pairwise learned metric for person re-identification,” in European Conference on Computer Vision . Springer, 2012, pp. 780–793
2012
Earlier work this paper cites.
N. Martinel and C. Micheloni, “Re-identify people in wide area camera network,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2012, pp. 31–36
2012
Earlier work this paper cites.
W. Li, R. Zhao, and X. Wang, “Human reidentification with transferred metric learning,” in Asian Conference on Computer Vision , 2012, pp. 31–44
2012
Earlier work this paper cites.
B. Ma, Y. Su, and F. Jurie, “Bicov: a novel image representation for person re-identification and face verification,” in British Machive Vision Conference , 2012, p. 11
2012
Earlier work this paper cites.
——, “Local descriptors encoded by fisher vectors for person re-identification,” in European Conference on Computer Vision . Springer, 2012, pp. 413–422
2012
Earlier work this paper cites.
S. Karaman and A. D. Bagdanov, “Identity inference: generalizing person re-identification scenarios,” in European Conference on Computer Vision . Springer, 2012, pp. 443–452
2012
Cited alongside, same era.
A. Bedagkar-Gala and S. K. Shah, “Part-based spatio-temporal model for multi-person re-identification,” Pattern Recognition Letters , vol. 33, no. 14, pp. 1908–1915, 2012
2012
Cited alongside, same era.
W.-S. Zheng, S. Gong, and T. Xiang, “Transfer re-identification: From person to set-based verification,” in IEEE Conference on Computer Vision and Pattern Recognition , 2012, pp. 2650–2657
2012
Cited alongside, same era.
P. Dollar, C. Wojek, B. Schiele, and P. Perona, “Pedestrian detection: An evaluation of the state of the art,” IEEE transactions on pattern analysis and machine intelligence , vol. 34, no. 4, pp. 743–761, 2012
2012
Cited alongside, same era.
Z. Wu, X. Wang, Y.-G. Jiang, H. Ye, and X. Xue, “Modeling spatial-temporal clues in a hybrid deep learning framework for video classification,” in Proceedings of the 23rd ACM international conference on Multimedia . ACM, 2015, pp. 461–470
2015
Later among the works it cites.
G. Lisanti, I. Masi, A. D. Bagdanov, and A. Del Bimbo, “Person re-identification by iterative re-weighted sparse ranking,” IEEE transactions on pattern analysis and machine intelligence , vol. 37, no. 8, pp. 1629–1642, 2015
2015
Later among the works it cites.
A. Dehghan, S. Modiri Assari, and M. Shah, “Gmmcp tracker: Globally optimal generalized maximum multi clique problem for multiple object tracking,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 4091–4099
2015
Later among the works it cites.
N. Martinel, A. Das, C. Micheloni, and A. K. Roy-Chowdhury, “Re-identification in the function space of feature warps,” IEEE transactions on pattern analysis and machine intelligence , vol. 37, no. 8, pp. 1656–1669, 2015
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A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the kitti vision benchmark suite,” in IEEE Conference on Computer Vision and Pattern Recognition , 2012, pp. 3354–3361
2012
Cited alongside, same era.
J. Wang and S. Li, “Query-driven iterated neighborhood graph search for large scale indexing,” in Proceedings of the 20th ACM international conference on Multimedia . ACM, 2012, pp. 179–188
2012
Cited alongside, same era.
X. Shen, Z. Lin, J. Brandt, S. Avidan, and Y. Wu, “Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2012, pp. 3013–3020
2012
Cited alongside, same era.
R. Arandjelović and A. Zisserman, “Three things everyone should know to improve object retrieval,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2012, pp. 2911–2918
2012
Cited alongside, same era.
2013
Cited alongside, same era.
X. Wang, “Intelligent multi-camera video surveillance: A review,” Pattern recognition letters , vol. 34, no. 1, pp. 3–19, 2013
2013
Cited alongside, same era.
W.-S. Zheng, S. Gong, and T. Xiang, “Reidentification by relative distance comparison,” IEEE transactions on pattern analysis and machine intelligence , vol. 35, no. 3, pp. 653–668, 2013
2013
Cited alongside, same era.
A. J. Ma, P. C. Yuen, and J. Li, “Domain transfer support vector ranking for person re-identification without target camera label information,” in Proceedings of the IEEE International Conference on Computer Vision , 2013, pp. 3567–3574
2013
Cited alongside, same era.
2015
Later among the works it cites.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster r-cnn: Towards real-time object detection with region proposal networks,” in Advances in Neural Information Processing Systems , 2015, pp. 91–99
2015
Later among the works it cites.
2015
Later among the works it cites.
R. Girshick, “Fast r-cnn,” in Proceedings of the IEEE International Conference on Computer Vision , 2015, pp. 1440–1448
2015
Later among the works it cites.
F. Zhao, Y. Huang, L. Wang, and T. Tan, “Deep semantic ranking based hashing for multi-label image retrieval,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 1556–1564
2015
Later among the works it cites.
V. Erin Liong, J. Lu, G. Wang, P. Moulin, and J. Zhou, “Deep hashing for compact binary codes learning,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 2475–2483
2015
Later among the works it cites.
R. Zhang, L. Lin, R. Zhang, W. Zuo, and L. Zhang, “Bit-scalable deep hashing with regularized similarity learning for image retrieval and person re-identification,” IEEE Transactions on Image Processing , vol. 24, no. 12, pp. 4766–4779, 2015
2015
Later among the works it cites.
X. Wang, W.-S. Zheng, X. Li, and J. Zhang, “Cross-scenario transfer person re-identification,” 2015
2015
Later among the works it cites.
A. J. Ma, J. Li, P. C. Yuen, and P. Li, “Cross-domain person reidentification using domain adaptation ranking svms,” IEEE Transactions on Image Processing , vol. 24, no. 5, pp. 1599–1613, 2015
2015
Later among the works it cites.
L. Zheng, S. Wang, L. Tian, F. He, Z. Liu, and Q. Tian, “Query-adaptive late fusion for image search and person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 1741–1750
2015
Later among the works it cites.
Q. Leng, R. Hu, C. Liang, Y. Wang, and J. Chen, “Person re-identification with content and context re-ranking,” Multimedia Tools and Applications , vol. 74, no. 17, pp. 6989–7014, 2015
2015
Later among the works it cites.
B. DeCann and A. Ross, “Modelling errors in a biometric re-identification system,” IET Biometrics , vol. 4, no. 4, pp. 209–219, 2015
2015
Later among the works it cites.
2016
Closest in time.
L. Zheng, Z. Bie, Y. Sun, J. Wang, C. Su, S. Wang, and Q. Tian, “Mars: A video benchmark for large-scale person re-identification,” in European Conference on Computer Vision , 2016
2016
Closest in time.
2016
Closest in time.
D. Chen, Z. Yuan, B. Chen, and N. Zheng, “Similarity learning with spatial constraints for person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 1268–1277
2016
Closest in time.
L. Zhang, T. Xiang, and S. Gong, “Learning a discriminative null space for person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
T. Matsukawa, T. Okabe, E. Suzuki, and Y. Sato, “Hierarchical gaussian descriptor for person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 1363–1372
2016
Closest in time.
2016
Closest in time.
Y. Yang, S. Liao, Z. Lei, and S. Z. Li, “Large scale similarity learning using similar pairs for person verification,” in Thirtieth AAAI Conference on Artificial Intelligence , 2016
2016
Closest in time.
2016
Closest in time.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
2016
Closest in time.
R. R. Varior, B. Shuai, J. Lu, D. Xu, and G. Wang, “A siamese long short-term memory architecture for human re-identification,” in European Conference on Computer Vision , 2016
2016
Closest in time.
R. R. Varior, M. Haloi, and G. Wang, “Gated siamese convolutional neural network architecture for human re-identification,” in European Conference on Computer Vision , 2016
2016
Closest in time.
2016
Closest in time.
D. Cheng, Y. Gong, S. Zhou, J. Wang, and N. Zheng, “Person re-identification by multi-channel parts-based cnn with improved triplet loss function,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 1335–1344
2016
Closest in time.
C. Su, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Deep attributes driven multi-camera person re-identification,” in European Conference on Computer Vision , 2016
2016
Closest in time.
T. Xiao, H. Li, W. Ouyang, and X. Wang, “Learning deep feature representations with domain guided dropout for person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
2016
Closest in time.
2016
Closest in time.
S. Wu, Y.-C. Chen, X. Li, A.-C. Wu, J.-J. You, and W.-S. Zheng, “An enhanced deep feature representation for person re-identification,” in 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) . IEEE, 2016, pp. 1–8
2016
Closest in time.
W. Huang, R. Hu, C. Liang, Y. Yu, Z. Wang, X. Zhong, and C. Zhang, “Camera network based person re-identification by leveraging spatial-temporal constraint and multiple cameras relations,” in International Conference on Multimedia Modeling . Springer, 2016, pp. 174–186
2016
Closest in time.
H. Wang, S. Gong, X. Zhu, and T. Xiang, “Human-in-the-loop person re-identification,” in European Conference on Computer Vision , 2016
2016
Closest in time.
Y.-J. Cho and K.-J. Yoon, “Improving person re-identification via pose-aware multi-shot matching,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 1354–1362
2016
Closest in time.
C. Gao, J. Wang, L. Liu, J.-G. Yu, and N. Sang, “Temporally aligned pooling representation for video-based person re-identification,” in IEEE International Conference on Image Processing (ICIP) , 2016, pp. 4284–4288
2016
Closest in time.
Z. Liu, J. Chen, and Y. Wang, “A fast adaptive spatio-temporal 3d feature for video-based person re-identification,” in 2016 IEEE International Conference on Image Processing (ICIP) . IEEE, 2016, pp. 4294–4298
2016
Closest in time.
X. Zhu, X.-Y. Jing, F. Wu, and H. Feng, “Video-based person re-identification by simultaneously learning intra-video and inter-video distance metrics,” in IJCAI , 2016
2016
Closest in time.
J. You, A. Wu, X. Li, and W.-S. Zheng, “Top-push video-based person re-identification,” in IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
N. McLaughlin, J. Martinez del Rincon, and P. Miller, “Recurrent convolutional network for video-based person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
Y. Yan, B. Ni, Z. Song, C. Ma, Y. Yan, and X. Yang, “Person re-identification via recurrent feature aggregation,” in European Conference on Computer Vision , 2016
2016
Closest in time.
B. Fernando, E. Gavves, J. Oramas, A. Ghodrati, and T. Tuytelaars, “Rank pooling for action recognition,” IEEE transactions on pattern analysis and machine intelligence , 2016
2016
Closest in time.
2016
Closest in time.
Y. Zhang, B. Li, H. Lu, A. Irie, and X. Ruan, “Sample-specific svm learning for person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
2016
Closest in time.
S. Zhang, R. Benenson, M. Omran, J. Hosang, and B. Schiele, “How far are we from solving pedestrian detection?” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
J. Hosang, R. Benenson, P. Dollár, and B. Schiele, “What makes for effective detection proposals?” IEEE transactions on pattern analysis and machine intelligence , vol. 38, no. 4, pp. 814–830, 2016
2016
Closest in time.
X. Liu, X. Fan, C. Deng, Z. Li, H. Su, and D. Tao, “Multilinear hyperplane hashing,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 5119–5127
2016
Closest in time.
Z. Zhang, Y. Chen, and V. Saligrama, “Efficient training of very deep neural networks for supervised hashing,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 1487–1495
2016
Closest in time.
L. Xie, J. Wang, Z. Wei, M. Wang, and Q. Tian, “Disturblabel: Regularizing cnn on the loss layer,” in IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
P. Peng, T. Xiang, Y. Wang, M. Pontil, S. Gong, T. Huang, and Y. Tian, “Unsupervised cross-dataset transfer learning for person re-identification,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
Closest in time.
N. Martinel, A. Das, C. Micheloni, and A. K. Roy-Chowdhury, “Temporal model adaptation for person re-identification,” in European Conference on Computer Vision , 2016
2016
Closest in time.
W.-S. Zheng, S. Gong, and T. Xiang, “Towards open-world person re-identification by one-shot group-based verification,” IEEE transactions on pattern analysis and machine intelligence , vol. 38, no. 3, pp. 591–606, 2016
2016
Closest in time.
W. Zajdel, Z. Zivkovic, and B. Krose, “Keeping track of humans: Have i seen this person before?” in Proceedings of the 2005 IEEE International Conference on Robotics and Automation . IEEE, 2005, pp. 2081–2086
2086
Closest in time.