434 citations · 2.1k across the 88 of their papers we have counts for
6 papers · 1 filter
HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation
Qianqian Xu, Jiechao Xiong, Xi Chen +2
Recently, crowdsourcing has emerged as an effective paradigm for human-powered large scale problem solving in various domains. However, task requester usually has a limited amount…
An Iterative Co-Saliency Framework for RGBD Images
Runmin Cong, Jianjun Lei, Huazhu Fu +4
As a newly emerging and significant topic in computer vision community, co-saliency detection aims at discovering the common salient objects in multiple related images. The existin…
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions
Zhiyong Yang, Qianqian Xu, Xiaochun Cao +1
Visual attributes, which refer to human-labeled semantic annotations, have gained increasing popularity in a wide range of real world applications. Generally, the existing attribut…
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion
Runmin Cong, Jianjun Lei, Changqing Zhang +3
Stereoscopic perception is an important part of human visual system that allows the brain to perceive depth. However, depth information has not been well explored in existing salie…
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation
Runmin Cong, Jianjun Lei, Huazhu Fu +3
Co-saliency detection aims at extracting the common salient regions from an image group containing two or more relevant images. It is a newly emerging topic in computer vision comm…
Exploring Outliers in Crowdsourced Ranking for QoE
Qianqian Xu, Ming Yan, Chendi Huang +3
Outlier detection is a crucial part of robust evaluation for crowdsourceable assessment of Quality of Experience (QoE) and has attracted much attention in recent years. In this pap…