104 citations · 215 across the 9 of their papers we have counts for
Showing 2015 · cs.CVShow all
3 papers · 2 filters
cs.CV2015★ 37 cited
A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model
Jie Xu, Lianwen Jin, Lingyu Liang +2
This paper proposes a deep leaning method to address the challenging facial attractiveness prediction problem. The method constructs a convolutional neural network of facial beauty…
cs.CV2015★ 9 cited
Improved Deep Convolutional Neural Network For Online Handwritten Chinese Character Recognition using Domain-Specific Knowledge
Weixin Yang, Lianwen Jin, Zecheng Xie +1
Deep convolutional neural networks (DCNNs) have achieved great success in various computer vision and pattern recognition applications, including those for handwritten Chinese char…
cs.CV2015★ 4 cited
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition
Weixin Yang, Lianwen Jin, Dacheng Tao +2
Inspired by the theory of Leitners learning box from the field of psychology, we propose DropSample, a new method for training deep convolutional neural networks (DCNNs), and apply…