74 citations · 90 across the 9 of their papers we have counts for
9 papers
Surface Geometry Processing: An Efficient Normal-based Detail Representation
Wuyuan Xie, Miaohui Wang, Di Lin +2
With the rapid development of high-resolution 3D vision applications, the traditional way of manipulating surface detail requires considerable memory and computing time. To address…
SA-Net: A deep spectral analysis network for image clustering
Jinghua Wang, Jianmin Jiang
Although supervised deep representation learning has attracted enormous attentions across areas of pattern recognition and computer vision, little progress has been made towards un…
Spectral Analysis Network for Deep Representation Learning and Image Clustering
Jinghua Wang, Adrian Hilton, Jianmin Jiang
Deep representation learning is a crucial procedure in multimedia analysis and attracts increasing attention. Most of the popular techniques rely on convolutional neural network an…
An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling
Jinghua Wang, Jianmin Jiang
While supervised deep learning has achieved great success in a range of applications, relatively little work has studied the discovery of knowledge from unlabeled data. In this pap…
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Jinghua Wang, Jianmin Jiang
Machine learning models trained in one domain perform poorly in the other domains due to the existence of domain shift. Domain adaptation techniques solve this problem by training…
Adversarial Learning for Zero-shot Domain Adaptation
Jinghua Wang, Jianmin Jiang
Zero-shot domain adaptation (ZSDA) is a category of domain adaptation problems where neither data sample nor label is available for parameter learning in the target domain. With th…
A Simple Pooling-Based Design for Real-Time Salient Object Detection
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng +2
We solve the problem of salient object detection by investigating how to expand the role of pooling in convolutional neural networks. Based on the U-shape architecture, we first bu…
GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network
Bin Sun, Chen Chen, Yingying Zhu +1
The task of cross-view image geo-localization aims to determine the geo-location (GPS coordinates) of a query ground-view image by matching it with the GPS-tagged aerial (satellite…
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Meijun Sun, Ziqi Zhou, QinGhua Hu +2
Data-driven saliency detection has attracted strong interest as a result of applying convolutional neural networks to the detection of eye fixations. Although a number of imagebase…