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Chongliang Wu
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2010 – 2019
- 2018
- [c9]Dan Liu, Junhua Liu, Wu Guo, Shifu Xiong, Zhiqiang Ma, Rui Song, Chongliang Wu, Quan Liu:
The USTC-NEL Speech Translation system at IWSLT 2018. IWSLT 2018: 70-75 - [i1]Dan Liu, Junhua Liu, Wu Guo, Shifu Xiong, Zhiqiang Ma, Rui Song, Chongliang Wu, Quan Liu:
The USTC-NEL Speech Translation system at IWSLT 2018. CoRR abs/1812.02455 (2018) - 2016
- [j2]Shangfei Wang, Chongliang Wu, Qiang Ji:
Capturing global spatial patterns for distinguishing posed and spontaneous expressions. Comput. Vis. Image Underst. 147: 69-76 (2016) - [c8]Shiyu Chen, Shangfei Wang, Chongliang Wu, Zhen Gao, Xiaoxiao Shi, Qiang Ji:
Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses. ICPR 2016: 295-300 - [c7]Tanfang Chen, Shangfei Wang, Zhen Gao, Chongliang Wu:
Emotion Recognition from EEG Signals Enhanced by User's Profile. ICMR 2016: 277-280 - [c6]Chongliang Wu, Shangfei Wang, Bowen Pan
, Huaping Chen:
Facial Expression Recognition with Deep two-view Support Vector Machine. ACM Multimedia 2016: 616-620 - [c5]Chongliang Wu, Shangfei Wang:
Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine. MMM (1) 2016: 127-137 - 2015
- [j1]Shangfei Wang, Chongliang Wu, Menghua He, Jun Wang, Qiang Ji:
Posed and spontaneous expression recognition through modeling their spatial patterns. Mach. Vis. Appl. 26(2-3): 219-231 (2015) - [c4]Quan Gan, Chongliang Wu, Shangfei Wang, Qiang Ji:
Posed and spontaneous facial expression differentiation using deep Boltzmann machines. ACII 2015: 643-648 - [c3]Chongliang Wu, Shangfei Wang, Qiang Ji:
Multi-instance Hidden Markov Model for facial expression recognition. FG 2015: 1-6 - 2014
- [c2]Zhen Gao, Shangfei Wang, Chongliang Wu, Jun Wang, Qiang Ji:
Facial Action Unit recognition by relation modeling from both qualitative knowledge and quantitative data. ICME Workshops 2014: 1-6 - [c1]Jun Wang, Shangfei Wang, Mengdi Huai, Chongliang Wu, Zhen Gao, Yue Liu, Qiang Ji:
Capture expression-dependent AU relations for expression recognition. ICME Workshops 2014: 1-6
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