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Matti Pietikäinen

University of Oulu

Deep Learning for Scene Classification: A Survey


Feb 20, 2021
Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu


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FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond


Oct 29, 2020
Zhuo Su, Linpu Fang, Deke Guo, Duwen Hu, Matti Pietikäinen, Li Liu


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Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond


Oct 19, 2020
Zhuo Su, Linpu Fang, Deke Guo, Duwen Hu, Matti Pietikäinen, Li Liu


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Dynamic Group Convolution for Accelerating Convolutional Neural Networks


Jul 10, 2020
Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu

* 21 pages, 10 figures 

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Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition


Jul 22, 2019
Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu


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Deep Learning for Generic Object Detection: A Survey


Sep 06, 2018
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

* Submitted to IJCV, 30pages 

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Texture Classification in Extreme Scale Variations using GANet


Feb 13, 2018
Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikäinen

* submitted to IEEE Transactions on Image Processing 

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PCANet-II: When PCANet Meets the Second Order Pooling


Sep 30, 2017
Lei Tian, Xiaopeng Hong, Guoying Zhao, Chunxiao Fan, Yue Ming, Matti Pietikäinen


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Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods


Feb 08, 2017
Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen


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Two decades of local binary patterns: A survey


Jan 16, 2017
Matti Pietikäinen, Guoying Zhao

* In Advances in Independent Component Analysis and Learning Machines, Academic Press, 2015, Pages 175-210 

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Probing the Intra-Component Correlations within Fisher Vector for Material Classification


Apr 15, 2016
Xiaopeng Hong, Xianbiao Qi, Guoying Zhao, Matti Pietikäinen

* It is manuscript submitted to Neurocomputing on the end of April, 2015 (!). One year past but no review comments we received yet! 

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HEp-2 Cell Classification: The Role of Gaussian Scale Space Theory as A Pre-processing Approach


Sep 08, 2015
Xianbiao Qi, Guoying Zhao, Jie Chen, Matti Pietikäinen

* 9 pages, 6 figures 

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HEp-2 Cell Classification via Fusing Texture and Shape Information


Feb 16, 2015
Xianbiao Qi, Guoying Zhao, Chun-Guang Li, Jun Guo, Matti Pietikäinen

* 11 pages, 7 figures 

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Dynamic texture and scene classification by transferring deep image features


Feb 01, 2015
Xianbiao Qi, Chun-Guang Li, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen


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