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20182026
most citedLearn an Effective Lip Reading Model without Pains

51 citations · 122 across the 14 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 51 cited

Learn an Effective Lip Reading Model without Pains

Dalu Feng, Shuang Yang, Shiguang Shan +1

Lip reading, also known as visual speech recognition, aims to recognize the speech content from videos by analyzing the lip dynamics. There have been several appealing progress in…

cs.CV2020★ 5 cited

Synchronous Bidirectional Learning for Multilingual Lip Reading

Mingshuang Luo, Shuang Yang, Xilin Chen +2

Lip reading has received increasing attention in recent years. This paper focuses on the synergy of multilingual lip reading. There are about as many as 7000 languages in the world…

cs.CV2020★ 6 cited

Mutual Information Maximization for Effective Lip Reading

Xing Zhao, Shuang Yang, Shiguang Shan +1

Lip reading has received an increasing research interest in recent years due to the rapid development of deep learning and its widespread potential applications. One key point to o…

cs.CV2020★ 4 cited

Deformation Flow Based Two-Stream Network for Lip Reading

Jingyun Xiao, Shuang Yang, Yuanhang Zhang +2

Lip reading is the task of recognizing the speech content by analyzing movements in the lip region when people are speaking. Observing on the continuity in adjacent frames in the s…

cs.CV2020★ 7 cited

Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading

Mingshuang Luo, Shuang Yang, Shiguang Shan +1

Lip-reading aims to infer the speech content from the lip movement sequence and can be seen as a typical sequence-to-sequence (seq2seq) problem which translates the input image seq…

cs.CV2020★ 6 cited

Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition

Yuanhang Zhang, Shuang Yang, Jingyun Xiao +2

Recent advances in deep learning have heightened interest among researchers in the field of visual speech recognition (VSR). Currently, most existing methods equate VSR with automa…