7 citations · 7 across the 1 of their papers we have counts for
6 papers
Joint Architecture and Knowledge Distillation in CNN for Chinese Text Recognition
Zi-Rui Wang, Jun Du
The technique of distillation helps transform cumbersome neural network into compact network so that the model can be deployed on alternative hardware devices. The main advantages…
Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
Yuanyuan Zhang, Zi-Rui Wang, Jun Du
Automatic emotion recognition (AER) is a challenging task due to the abstract concept and multiple expressions of emotion. Although there is no consensus on a definition, human emo…
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
Zi-Rui Wang, Jun Du, Jia-Ming Wang
Recently, the hybrid convolutional neural network hidden Markov model (CNN-HMM) has been introduced for offline handwritten Chinese text recognition (HCTR) and has achieved state-o…
Parsimonious HMMs for Offline Handwritten Chinese Text Recognition
Wenchao Wang, Jun Du, Zi-Rui Wang
Recently, hidden Markov models (HMMs) have achieved promising results for offline handwritten Chinese text recognition. However, due to the large vocabulary of Chinese characters w…
DenseRAN for Offline Handwritten Chinese Character Recognition
Wenchao Wang, Jianshu Zhang, Jun Du +2
Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…
Attention Based Fully Convolutional Network for Speech Emotion Recognition
Yuanyuan Zhang, Jun Du, Zirui Wang +1
Speech emotion recognition is a challenging task for three main reasons: 1) human emotion is abstract, which means it is hard to distinguish; 2) in general, human emotion can only…