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Team | Quanshi Zhang
Ruiming Cao, Now, Ph.D. student at University of California, Berkeley
Yu Yang, Now, Ph.D. student at University of California, Los Angeles
Kerui Gu, Now, Ph.D. student at National University of Sing...
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Publications | Quanshi Zhang
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, and Song-Chun Zhu
CVPR, 2017
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, and Song-Chun Zhu...
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Interpretable Convolutional Neural Networks | Quanshi Zhang
Abstract
This paper proposes a method to modify traditional convolutional neural networks (CNNs) into interpretable CNNs, in order to clarify knowledge representations in high conv-layers of CNNs. In ...
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Visual Interpretability for Deep Learning: a Survey | Quanshi Zhang
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang and Song-Chun Zhu
Frontiers of Information Technology & Electronic Engineering, Vol.19 No.1 page 27-39, 2018
You can download the pape...
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Demo | Quanshi Zhang
2021-05-31
2021-01-12
2020-12-03
2020/10/19
2020/10/17
2020/09/26
2020/07/12
2020/06/20
2020/04/25
2020/01/09
2020/01/07
2019/12/12
2019/11/08
2019/11/08
2019/10/25
2019/10/20
2019/09/27
2019/06/16
20...
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Network Transplanting | Quanshi Zhang
Network Transplanting
Abstract
This paper focuses on a novel problem, i.e., transplanting a category-and-task specific neural network to a generic, distributed network, namely a transplant network, wi...