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1、Neural Person Search Machines
Hao Liu, Jiashi Feng,Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan
2、Cross-View Asymmetric Metric Learning for Unsupervised PersonRe-Identification
Hong-Xing Yu, Ancong Wu,Wei-Shi Zheng
3、SHaPE: A Novel Graph Theoretic Algorithm for MakingConsensus-Based Decisions in Person Re-Identification Systems
Arko Barman, Shishir K.Shah
4、A Two Stream Siamese Convolutional Neural Network for PersonRe-Identification
Dahjung Chung, KhalidTahboub, Edward J. Delp
5、Efficient Online Local Metric Adaptation via Negative Samplesfor Person Re-Identification
Jiahuan Zhou, Pei Yu, WeiTang, Ying Wu
6、Learning View-Invariant Features for Person Identification inTemporally Synchronized Videos Taken by Wearable Cameras
Kang Zheng, XiaochuanFan, Yuewei Lin, Hao Guo, Hongkai Yu, Dazhou Guo, Song Wang
7、Deeply-Learned Part-Aligned Representations for PersonRe-Identification
Liming Zhao, Xi Li,Yueting Zhuang, Jingdong Wang
8、Unlabeled Samples Generated by GAN Improve the PersonRe-Identification Baseline in Vitro
Zhedong Zheng, LiangZheng, Yi Yang
9、Pose-Driven Deep Convolutional Model for PersonRe-Identification
Chi Su, Jianing Li,Shiliang Zhang, Junliang Xing, Wen Gao, Qi Tian
10、Jointly Attentive Spatial-Temporal Pooling Networks forVideo-Based Person Re-Identification
Shuangjie Xu, Yu Cheng,Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou
11、RGB-Infrared Cross-Modality Person Re-Identification
Ancong Wu, Wei-Shi Zheng,Hong-Xing Yu, Shaogang Gong, Jianhuang Lai
12、Multi-Scale Deep Learning Architectures for PersonRe-Identification
Xuelin Qian, Yanwei Fu,Yu-Gang Jiang, Tao Xiang, Xiangyang Xue
13、Stepwise Metric Promotion forUnsupervised Video PersonRe-Identification
Zimo Liu;Dong Wang;Huchuan Lu
14、Dynamic Label Graph Matching forUnsupervised VideoRe-Identification
Mang Ye; AndyJ. Ma; LiangZheng; Jiawei Li; Pong C. Yuen
15、Jointly Attentive Spatial-TemporalPooling Networks forVideo-Based Person Re-Identification
Shuangjie Xu;Yu Cheng;Kang Gu; Yang Yang; Shiyu Chang; Pan Zhou
1、SBGAR: Semantics BasedGroup ActivityRecognition
XinLi, MooiChoo Chuah
2、R-C3D: RegionConvolutional 3D Network for Temporal ActivityDetection
HuijuanXu, Abir Das, Kate Saenko
3、Learning Long-TermDependenciesfor Action Recognition With a Biologically-Inspired Deep Network
YeminShi, YonghongTian, Yaowei Wang, Wei Zeng, Tiejun Huang
4、Ensemble Deep Learningfor Skeleton-Based ActionRecognition Using Temporal Sliding LSTM Networks
InwoongLee, Doyoung Kim,Seoungyoon Kang
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