activity
20182023
most citedSG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection

74 citations · 90 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CV2023★ 2 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020★ 2 cited

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…

cs.CV2020★ 1 cited

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…

cs.CV2019★ 4 cited

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…

cs.CV2019★ 7 cited

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…

cs.CV2018★ 74 cited

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…