most citedMulti-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement

32 citations · 96 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV201820 cited

Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition

Jianshu Zhang, Jun Du, Lirong Dai

Handwritten mathematical expression recognition is a challenging problem due to the complicated two-dimensional structures, ambiguous handwriting input and variant scales of handwr…

cs.CV201826 cited

Sliding Line Point Regression for Shape Robust Scene Text Detection

Yixing Zhu, Jun Du

Traditional text detection methods mostly focus on quadrangle text. In this study we propose a novel method named sliding line point regression (SLPR) in order to detect arbitrary-…

cs.CV20186 cited

Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition

Jianshu Zhang, Yixing Zhu, Jun Du +1

Recently, great progress has been made for online handwritten Chinese character recognition due to the emergence of deep learning techniques. However, previous research mostly trea…

cs.CV201712 cited

A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition

Jianshu Zhang, Jun Du, Lirong Dai

In this study, we present a novel end-to-end approach based on the encoder-decoder framework with the attention mechanism for online handwritten mathematical expression recognition…

cs.SD201732 cited

Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement

Yong Xu, Jun Du, Zhen Huang +2

We propose a multi-objective framework to learn both secondary targets not directly related to the intended task of speech enhancement (SE) and the primary target of the clean log-…