activity
20172020
most citedAge Group and Gender Estimation in the Wild with Deep RoR Architecture

13 citations · 18 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20202 cited

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…

eess.IV20203 cited

Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines

Zhenbing Zhao, Hongyu Qi, Yincheng Qi +3

Bolts are the most numerous fasteners in transmission lines and are prone to losing their split pins. How to realize the automatic pin-missing defect detection for bolts in transmi…

cs.CV2019

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…

cs.CV2018

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…

cs.CV201713 cited

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…

cs.CV2017

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…