Jing Shao (邵婧)
Jing Shao (邵婧)
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BlockQNN: Efficient Block-Wise Neural Network Architecture Generation
Convolutional neural networks have gained a remarkable success in computer vision. However, most popular network architectures are …
Zhao Zhong
,
Zichen Yang
,
Boyang Deng
,
Junjie Yan
,
Wei Wu
,
Jing Shao
,
Cheng-Lin Liu
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DOI
High-Quality Video Generation from Static Structural Annotations
This paper proposes a novel unsupervised video generation that is conditioned on a single structural annotation map, which in contrast …
Lu Sheng
,
Junting Pan
,
Jiaming Guo
,
Jing Shao
,
Chen Change Loy
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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
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