P Jonathon Phillips,Patrick J Flynn,Kevin W Bowyer
P Jonathon Phillips
Over the past decade, independent evaluations have become commonplace in many areas of experimental computer science, including face and gesture recognition. A key attribute of many successful independent evaluations is a curated data set. ...
A survey on computer vision based human analysis in the COVID-19 era [0.03%]
基于计算机视觉的COVID-19时代人物分析研究综述
Fevziye Irem Eyiokur,Alperen Kantarcı,Mustafa Ekrem Erakın et al.
Fevziye Irem Eyiokur et al.
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced around the world to limit the transmission of the disease, inc...
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children [0.03%]
用于儿童大规模动态和自发性面部行为分析的渐近式浅层网络
Abdul Qayyum,Imran Razzak,Nour Moustafa et al.
Abdul Qayyum et al.
COVID-19 has severely disrupted every aspect of society and left negative impact on our life. Resisting the temptation in engaging face-to-face social connection is not as easy as we imagine. Breaking ties within social circle makes us lone...
FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public [0.03%]
FMD-YOLO：一种用于COVID-19公共预防和控制的口罩检测方法
Peishu Wu,Han Li,Nianyin Zeng et al.
Peishu Wu et al.
Coronavirus disease 2019 (COVID-19) is a world-wide epidemic and efficient prevention and control of this disease has become the focus of global scientific communities. In this paper, a novel face mask detection framework FMD-Yolo is propos...
Postnatal gestational age estimation of newborns using Small Sample Deep Learning [0.03%]
基于小样本深度学习的新生儿出生后胎龄估算方法研究
Mercedes Torres Torres,Michel Valstar,Caroline Henry et al.
Mercedes Torres Torres et al.
A baby's gestational age determines whether or not they are premature, which helps clinicians decide on suitable post-natal treatment. The most accurate dating methods use Ultrasound Scan (USS) machines, but these are expensive, require tra...
Learning Facial Action Units with Spatiotemporal Cues and Multi-label Sampling [0.03%]
基于时空线索和多标签采样的面部动作单元学习
Wen-Sheng Chu,Fernando De la Torre,Jeffrey F Cohn
Wen-Sheng Chu
Facial action units (AUs) may be represented spatially, temporally, and in terms of their correlation. Previous research focuses on one or another of these aspects or addresses them disjointly. We propose a hybrid network architecture that ...
László A Jeni,Jeffrey F Cohn,Takeo Kanade
László A Jeni
To enable real-time, person-independent 3D registration from 2D video, we developed a 3D cascade regression approach in which facial landmarks remain invariant across pose over a range of approximately 60 degrees. From a single 2D image of ...
Multiview stereo and silhouette fusion via minimizing generalized reprojection error [0.03%]
基于广义重投影误差最小化的多视图立体匹配与轮廓融合方法
Zhaoxin Li,Kuanquan Wang,Wenyan Jia et al.
Zhaoxin Li et al.
Accurate reconstruction of 3D geometrical shape from a set of calibrated 2D multiview images is an active yet challenging task in computer vision. The existing multiview stereo methods usually perform poorly in recovering deeply concave and...
Nonverbal Social Withdrawal in Depression: Evidence from manual and automatic analysis [0.03%]
抑郁症中的非言语社会退缩：来自手动和自动分析的证据
Jeffrey M Girard,Jeffrey F Cohn,Mohammad H Mahoor et al.
Jeffrey M Girard et al.
The relationship between nonverbal behavior and severity of depression was investigated by following depressed participants over the course of treatment and video recording a series of clinical interviews. Facial expressions and head pose w...
Classification and Weakly Supervised Pain Localization using Multiple Segment Representation [0.03%]
基于多尺度分割表示的疼痛分类与弱监督定位方法
Karan Sikka,Abhinav Dhall,Marian Stewart Bartlett
Karan Sikka
Automatic pain recognition from videos is a vital clinical application and, owing to its spontaneous nature, poses interesting challenges to automatic facial expression recognition (AFER) research. Previous pain vs no-pain systems have high...