Jing Shao (邵婧)
Jing Shao (邵婧)
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Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
In this paper, we tackle the vehicle Re-identification (ReID) problem which is of great importance in urban surveillance and can be …
Zhongdao Wang
,
Luming Tang
,
Xihui Liu
,
Zhuliang Yao
,
Shuai Yi
,
Jing Shao
,
Junjie Yan
,
Shengjin Wang
,
Hongsheng Li
,
Xiaogang Wang
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DOI
Learning Scene-Independent Group Descriptors for Crowd Understanding
Groups are the primary entities that make up a crowd. Understanding group-level dynamics and properties is thus scientifically …
Jing Shao
,
Chen Change Loy
,
Xiaogang Wang
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DOI
Crowded Scene Understanding by Deeply Learned Volumetric Slices
Crowd video analysis is one of the hallmark tasks of crowded scene understanding. While we observe a tremendous progress in image-based …
Jing Shao
,
Chen Change Loy
,
Kai Kang
,
Xiaogang Wang
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DOI
Slicing Convolutional Neural Network for Crowd Video Understanding
Learning and capturing both appearance and dynamic representations are pivotal for crowd video understanding. Convolutional Neural …
Jing Shao
,
Chen Change Loy
,
Kai Kang
,
Xiaogang Wang
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