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What can computational models learn from human selective attention? A
  review from an audiovisual crossmodal perspective

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective

5 September 2019
Di Fu
C. Weber
Guochun Yang
Matthias Kerzel
Weizhi Nan
Pablo V. A. Barros
Haiyan Wu
Xun Liu
S. Wermter
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Papers citing "What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective"

2 / 2 papers shown
Title
Lip Reading Sentences in the Wild
Lip Reading Sentences in the Wild
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
162
784
0
16 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
216
7,923
0
17 Aug 2015
1