676 citations · 694 across the 5 of their papers we have counts for
5 papers
Adaptively Connected Neural Networks
Guangrun Wang, Keze Wang, Liang Lin
This paper presents a novel adaptively connected neural network (ACNet) to improve the traditional convolutional neural networks (CNNs) {in} two aspects. First, ACNet employs a fle…
3D Human Pose Machines with Self-supervised Learning
Keze Wang, Liang Lin, Chenhan Jiang +2
Driven by recent computer vision and robotic applications, recovering 3D human poses has become increasingly important and attracted growing interests. In fact, completing this tas…
Cost-Effective Active Learning for Deep Image Classification
Keze Wang, Dongyu Zhang, Ya Li +2
Recent successes in learning-based image classification, however, heavily rely on the large number of annotated training samples, which may require considerable human efforts. In t…
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning
Keze Wang, Shengfu Zhai, Hui Cheng +2
Human pose estimation (i.e., locating the body parts / joints of a person) is a fundamental problem in human-computer interaction and multimedia applications. Significant progress…
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning
Yukai Shi, Keze Wang, Li Xu +1
Recently, machine learning based single image super resolution (SR) approaches focus on jointly learning representations for high-resolution (HR) and low-resolution (LR) image patc…