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Video-based person reID is an important task, which has received much attention in recent years due to the increasing demand in surveillance and camera networks.
Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Recurrent convolutional network for video-based person re-identification
Niall McLaughlin, Jesus Martinez del Rincon, and Paul Miller · 2016
Earlier work this paper cites.
Temporal action localization in untrimmed videos via multi-stage cnns
Zheng Shou, Dongang Wang, and Shih-Fu Chang · 2016
Earlier work this paper cites.
MARS: A Video Benchmark for Large-Scale Person Re-identification , 2016. Springer
2016
Cited alongside, same era.
Person re-identification via recurrent feature aggregation
Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, and Xiaokang Yang · 2016
Cited alongside, same era.
A two stream siamese convolutional neural network for person re-identification
Dahjung Chung, Khalid Tahboub, and Edward J Delp · 2017
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Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2017
Cited alongside, same era.
In defense of the triplet loss for person re-identification
Alexander Hermans, Lucas Beyer, and Bastian Leibe · 2017
Cited alongside, same era.
Learning deep context-aware features over body and latent parts for person re-identification
Dangwei Li, Xiaotang Chen, Zhang Zhang, and Kaiqi Huang · 2017
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Quality aware network for set to set recognition
Yu Liu, Junjie Yan, and Wanli Ouyang · 2017
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Jointly attentive spatial-temporal pooling networks for video-based person re-identification
Kang Gu Yang Yang Shiyu Chang Shuangjie Xu, Yu Cheng and Pan Zhou · 2017
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Pose-driven deep convolutional model for person re-identification
Chi Su, Jianing Li, Shiliang Zhang, Junliang Xing, Wen Gao, and Qi Tian · 2017
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Re-ranking person re-identification with k-reciprocal encoding
Zhun Zhong, Liang Zheng, Donglin Cao, and Shaozi Li · 2017
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Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
Cited alongside, same era.
Cascaded boundary regression for temporal action detection
Jiyang Gao, Zhenheng Yang, and Ram Nevatia
Cited in the paper.
Red: Reinforced encoder-decoder networks for action anticipation
Jiyang Gao, Zhenheng Yang, and Ram Nevatia
Cited in the paper.
Turn tap: Temporal unit regression network for temporal action proposals
Jiyang Gao, Zhenheng Yang, Chen Sun, Kan Chen, and Ram Nevatia
Cited in the paper.
Spindle net: Person re-identification with human body region guided feature decomposition and fusion
Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, and Xiaoou Tang
Cited in the paper.
Deeply-learned part-aligned representations for person re-identification
Liming Zhao, Xi Li, Yueting Zhuang, and Jingdong Wang
Cited in the paper.
Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, and Tieniu Tan · 2017
Later among the works it cites.