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We present a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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Evaluating appearance models for recognition, reacquisition, and tracking
D. Gray, S. Brennan, and H. Tao · 2007
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Poselets: Body part detectors trained using 3d human pose annotations
L. Bourdev and J. Malik · 2009
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Associating groups of people
W.-S. Zheng, S. Gong, and T. Xiang · 2009
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Person re-identification by symmetry-driven accumulation of local features
M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani · 2010
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Multiple object tracking using k-shortest paths optimization
J. Berclaz, F. Fleuret, E. Türetken, and P. Fua · 2011
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Segmentation as selective search for object recognition
K. E. Van de Sande, J. R. Uijlings, T. Gevers, and A. W. Smeulders · 2011
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Pedestrian detection: An evaluation of the state of the art
P. Dollar, C. Wojek, B. Schiele, and P. Perona · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Large scale metric learning from equivalence constraints
M. Kostinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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A discriminative deep model for pedestrian detection with occlusion handling
W. Ouyang and X. Wang · 2012
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Locally aligned feature transforms across views
W. Li and X. Wang · 2013
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Joint deep learning for pedestrian detection
W. Ouyang and X. Wang · 2013
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Modeling mutual visibility relationship in pedestrian detection
W. Ouyang, X. Zeng, and X. Wang · 2013
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Human re-identification by matching compositional template with cluster sampling
Y. Xu, L. Lin, W.-S. Zheng, and X. Liu · 2013
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Consistent re-identification in a camera network
A. Das, A. Chakraborty, and A. K. Roy-Chowdhury · 2014
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Fast feature pyramids for object detection
P. Dollár, R. Appel, S. Belongie, and P. Perona · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Deepreid: Deep filter pairing neural network for person re-identification
W. Li, R. Zhao, T. Xiao, and X. Wang · 2014
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Open-set person re-identification
S. Liao, Z. Mo, Y. Hu, and S. Z. Li · 2014
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Switchable deep network for pedestrian detection
P. Luo, Y. Tian, X. Wang, and X. Tang · 2014
Person re-identification by local maximal occurrence representation and metric learning
S. Liao, Y. Hu, X. Zhu, and S. Z. Li · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Deep learning strong parts for pedestrian detection
Y. Tian, P. Luo, X. Wang, and X. Tang · 2015
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Beyond frontal faces: Improving person recognition using multiple cues
N. Zhang, M. Paluri, Y. Taigman, R. Fergus, and L. Bourdev · 2015
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Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
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Query-adaptive late fusion for image search and person re-identification
L. Zheng, S. Wang, L. Tian, F. He, Z. Liu, and Q. Tian · 2015
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Covariance descriptor based on bio-inspired features for person re-identification and face verification
B. Ma, Y. Su, and F. Jurie · 2014
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Local decorrelation for improved pedestrian detection
W. Nam, P. Dollár, and J. H. Han · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Person re-identification by video ranking
T. Wang, S. Gong, X. Zhu, and S. Wang · 2014
Cited alongside, same era.
Person re-identification using kernel-based metric learning methods
F. Xiong, M. Gou, O. Camps, and M. Sznaier · 2014
Cited alongside, same era.
Person search in a scene by jointly modeling people commonness and person uniqueness
Y. Xu, B. Ma, R. Huang, and L. Lin · 2014
Cited alongside, same era.
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Partial person re-identification
W.-S. Zheng, X. Li, T. Xiang, S. Liao, J. Lai, and S. Gong · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Learning deep feature representations with domain guided dropout for person re-identification
T. Xiao, H. Li, W. Ouyang, and X. Wang · 2016
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Learning a discriminative null space for person re-identification
L. Zhang, T. Xiang, and S. Gong · 2016
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How far are we from solving pedestrian detection?
S. Zhang, R. Benenson, M. Omran, J. Hosang, and B. Schiele · 2016
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Mars: A video benchmark for large-scale person re-identification
L. Zheng, Z. Bie, Y. Sun, J. Wang, C. Su, S. Wang, and Q. Tian · 2016
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Person re-identification: Past, present and future
L. Zheng, Y. Yang, and A. G. Hauptmann · 2016
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Scalable person re-identification on supervised smoothed manifold
S. Bai, X. Bai, and Q. Tian · 2017
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Joint detection and identification feature learning for person search
T. Xiao, S. Li, B. Wang, L. Lin, and X. Wang · 2017
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Unlabeled samples generated by gan improve the person re-identification baseline in vitro
Z. Zheng, L. Zheng, and Y. Yang · 2017
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Re-ranking person re-identification with k-reciprocal encoding
Z. Zhong, L. Zheng, D. Cao, and S. Li · 2017
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