2 citations · 4 across the 9 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CV2021
Learning Single/Multi-Attribute of Object with Symmetry and Group
Yong-Lu Li, Yue Xu, Xinyu Xu +2
Attributes and objects can compose diverse compositions. To model the compositional nature of these concepts, it is a good choice to learn them as transformations, e.g., coupling a…
cs.LG2021
Non-Recursive Graph Convolutional Networks
Hao Chen, Zengde Deng, Yue Xu +1
Graph Convolutional Networks (GCNs) are powerful models for node representation learning tasks. However, the node representation in existing GCN models is usually generated by perf…