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Yaxin Wang, Qi Liu, Jie Yang, Guihong Ren, Wenqi Wang, Wuping Zhang and Fuzhong Li
To address the current problem of the difficulty of extracting the phenotypic parameters of tomato plants in a non-destructive and accurate way, we proposed a method of stem and leaf segmentation and phenotypic extraction of tomato plants based on skelet...
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Ji Zhang, Xiangze Jia, Zhen Wang, Yonglong Luo, Fulong Chen, Gaoming Yang and Lihui Zhao
Skeleton-based action recognition depends on skeleton sequences to detect categories of human actions. In skeleton-based action recognition, the recognition of action scenes with more than one subject is named as interaction recognition. Different from t...
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Yihu Hu, Xinying Luo, Zicheng Gao, Ao Du, Hao Guo, Alexey Ruchay, Francesco Marinello and Andrea Pezzuolo
As consumer-grade depth sensors provide an efficient and low-cost way to obtain point cloud data, an increasing number of applications regarding the acquisition and processing of livestock point clouds have been proposed. Curve skeletons are abstract rep...
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Xiaolei Diao, Xiaoqiang Li and Chen Huang
The same action takes different time in different cases. This difference will affect the accuracy of action recognition to a certain extent. We propose an end-to-end deep neural network called ?Multi-Term Attention Networks? (MTANs), which solves the abo...
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Wang Xi, Guillaume Devineau, Fabien Moutarde and Jie Yang
Generative models for images, audio, text, and other low-dimension data have achieved great success in recent years. Generating artificial human movements can also be useful for many applications, including improvement of data augmentation methods for hu...
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