Towards video-based injury risk assessment: predicting lifting loads from body pose trajectories [0.03%]
基于视频的伤害风险评估：从身体姿态轨迹预测抬举负荷
Zihao Zhu,Fangzhou Mu,Robert Radwin et al.
Zihao Zhu et al.
Manual material handling tasks, such as lifting and lowering, are ubiquitous across industry sectors. Overexertion during these tasks is among the leading causes of workplace injuries. Previous studies have shown that lifting load is a key ...
Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping [0.03%]
基于多光谱和多时态图像的灾害制图的概率子空间无监督学习
Azubuike Okorie,Chandra Kambhamettu,Sokratis Makrogiannnis
Azubuike Okorie
Accurate and timely identification of regions damaged by a natural disaster is critical for assessing the damages and reducing the human life cost. The increasing availability of satellite imagery and other remote sensing data has triggered...
Michael P J Camilleri,Li Zhang,Rasneer S Bains et al.
Michael P J Camilleri et al.
Our objective is to locate and provide a unique identifier for each mouse in a cluttered home-cage environment through time, as a precursor to automated behaviour recognition for biological research. This is a very challenging problem due t...
Arsal Syed,Brendan Tran Morris
Arsal Syed
Understanding pedestrian motion is critical for many real-world applications, e.g., autonomous driving and social robot navigation. It is a challenging problem since autonomous agents require complete understanding of its surroundings inclu...
Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition [0.03%]
时尚搭配补全商品检索：VISUM夏校竞赛
Eduardo Castro,Pedro M Ferreira,Ana Rebelo et al.
Eduardo Castro et al.
Every year, the VISion Understanding and Machine intelligence (VISUM) summer school runs a competition where participants can learn and share knowledge about Computer Vision and Machine Learning in a vibrant environment. 2021 VISUM's focuse...
Real-time pedestrian pose estimation, tracking and localization for social distancing [0.03%]
实时行人姿态估计、跟踪和定位，以保持社交距离
Bilal Abdulrahman,Zhigang Zhu
Bilal Abdulrahman
The corona virus pandemic has introduced limitations which were previously not a cause for concern. Chief among them are wearing face masks in public and constraints on the physical distance between people as an effective measure to reduce ...
Lei Liao,Yu Zhu,Bingbing Zheng et al.
Lei Liao et al.
Due to the problems of occlusion, pose change, illumination change, and image blur in the wild facial expression dataset, it is a challenging computer vision problem to recognize facial expressions in a complex environment. To solve this pr...
Teacher-student training and triplet loss to reduce the effect of drastic face occlusion: Application to emotion recognition, gender identification and age estimation [0.03%]
遮挡情况下教师-学生训练和三元组损失的面部表情、性别及年龄判断任务中的作用研究
Mariana-Iuliana Georgescu,Georgian-Emilian Duţǎ,Radu Tudor Ionescu
Mariana-Iuliana Georgescu
We study a series of recognition tasks in two realistic scenarios requiring the analysis of faces under strong occlusion. On the one hand, we aim to recognize facial expressions of people wearing virtual reality headsets. On the other hand,...
Images denoising for COVID-19 chest X-ray based on multi-resolution parallel residual CNN [0.03%]
基于多分辨率残差CNN的COVID-19胸部X光图像去噪方法
Xiaoben Jiang,Yu Zhu,Bingbing Zheng et al.
Xiaoben Jiang et al.
Chest X-ray (CXR) is a medical imaging technology that is common and economical to use in clinical. Recently, coronavirus (COVID-19) has spread worldwide, and the second wave is rebounding strongly now with the coming winter that has a detr...
Deep learning-based object recognition in multispectral satellite imagery for real-time applications [0.03%]
面向实时应用的多光谱卫星图像深层学习目标识别方法研究
Povilas Gudžius,Olga Kurasova,Vytenis Darulis et al.
Povilas Gudžius et al.
Satellite imagery is changing the way we understand and predict economic activity in the world. Advancements in satellite hardware and low-cost rocket launches have enabled near-real-time, high-resolution images covering the entire Earth. I...