88 citations
- Tsinghua UniversityCN9 papers
- Chinese Academy of SciencesCN7 papers
- University of Chinese Academy of SciencesCN4 papers
- Zhejiang UniversityCN4 papers
- Beijing Institute of TechnologyCN3 papers
- Institute of AutomationCN3 papers
- University of AucklandNZ3 papers
- University of Science and Technology of ChinaCN3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Chinese Institute for Brain ResearchCN2 papers
- Griffith UniversityAU2 papers
- High Magnetic Field LaboratoryCN2 papers
Showing 2020 · cs.CVShow all
3 papers · 2 filters
cs.CV2020★ 4 cited
Automated classification of stems and leaves of potted plants based on point cloud data
Zichu Liu, Qing Zhang, Pei Wang +2
The accurate classification of plant organs is a key step in monitoring the growing status and physiology of plants. A classification method was proposed to classify the leaves and…
cs.CV2020★ 2 cited
End-to-End Face Parsing via Interlinked Convolutional Neural Networks
Zi Yin, Valentin Yiu, Xiaolin Hu +1
Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.), providing a basis for further face an…
cs.CV2020
Automatic marker-free registration of tree point-cloud data based on rotating projection
Xiuxian Xu, Pei Wang, Xiaozheng Gan +6
Point-cloud data acquired using a terrestrial laser scanner (TLS) play an important role in digital forestry research. Multiple scans are generally used to overcome occlusion effec…