71 citations · 234 across the 20 of their papers we have counts for
6 papers · 1 filter
Voiceprint recognition of Parkinson patients based on deep learning
Zhijing Xu, Juan Wang, Ying Zhang +1
More than 90% of the Parkinson Disease (PD) patients suffer from vocal disorders. Speech impairment is already indicator of PD. This study focuses on PD diagnosis through voiceprin…
A-CCNN: adaptive ccnn for density estimation and crowd counting
Saeed Amirgholipour Kasmani, Xiangjian He, Wenjing Jia +2
Crowd counting, for estimating the number of people in a crowd using vision-based computer techniques, has attracted much interest in the research community. Although many attempts…
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection
Yue Xi, Jiangbin Zheng, Xiangjian He +2
Tiny face detection aims to find faces with high degrees of variability in scale, resolution and occlusion in cluttered scenes. Due to the very little information available on tiny…
A Structural Correlation Filter Combined with A Multi-task Gaussian Particle Filter for Visual Tracking
Manna Dai, Shuying Cheng, Xiangjian He +1
In this paper, we propose a novel structural correlation filter combined with a multi-task Gaussian particle filter (KCF-GPF) model for robust visual tracking. We first present an…
Structured Inhomogeneous Density Map Learning for Crowd Counting
Hanhui Li, Xiangjian He, Hefeng Wu +4
In this paper, we aim at tackling the problem of crowd counting in extremely high-density scenes, which contain hundreds, or even thousands of people. We begin by a comprehensive a…
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition
Cigdem Turan, Kin-Man Lam, Xiangjian He
For image recognition, an extensive number of methods have been proposed to overcome the high-dimensionality problem of feature vectors being used. These methods vary from unsuperv…