1.8k citations · 2.4k across the 36 of their papers we have counts for
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Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou, Jia-Nan Wu, Yuxin Wu +1
In this paper, we propose and study a technique to reduce the number of parameters and computation time in convolutional neural networks. We use Kronecker product to exploit the lo…
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
Cong Yao, Jianan Wu, Xinyu Zhou +4
Different from focused texts present in natural images, which are captured with user's intention and intervention, incidental texts usually exhibit much more diversity, variability…
Multilinear Map Layer: Prediction Regularization by Structural Constraint
Shuchang Zhou, Yuxin Wu
In this paper we propose and study a technique to impose structural constraints on the output of a neural network, which can reduce amount of computation and number of parameters b…
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou, Jia-Nan Wu
In this paper we propose and study a technique to reduce the number of parameters and computation time in fully-connected layers of neural networks using Kronecker product, at a mi…
ICDAR 2015 Text Reading in the Wild Competition
Xinyu Zhou, Shuchang Zhou, Cong Yao +2
Recently, text detection and recognition in natural scenes are becoming increasing popular in the computer vision community as well as the document analysis community. However, maj…