17 citations · 35 across the 7 of their papers we have counts for
6 papers · 1 filter
MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
Ke Zhang, Yukun Su, Xiwang Guo +2
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute…
Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Yurong Guo, Xinsheng Wang +4
The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. Many image classification studies use dee…
Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Xinsheng Wang, Yurong Guo +3
The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. A lot of studies of image classification…
Fine-Grained Age Estimation in the wild with Attention LSTM Networks
Ke Zhang, Na Liu, Xingfang Yuan +4
Age estimation from a single face image has been an essential task in the field of human-computer interaction and computer vision, which has a wide range of practical application v…
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Ke Zhang, Ce Gao, Liru Guo +5
Automatically predicting age group and gender from face images acquired in unconstrained conditions is an important and challenging task in many real-world applications. Neverthele…
Pyramidal RoR for Image Classification
Ke Zhang, Liru Guo, Ce Gao +1
The Residual Networks of Residual Networks (RoR) exhibits excellent performance in the image classification task, but sharply increasing the number of feature map channels makes th…