no code implementations • 6 Apr 2023 • Zhixuan Xu, Kechun Xu, Yue Wang, Rong Xiong
We focus on the task of language-conditioned object placement, in which a robot should generate placements that satisfy all the spatial relational constraints in language instructions.
no code implementations • 10 Sep 2020 • Zhixuan Xu, Minghui Qian, Xiaowei Huang, Jie Meng
In this paper, we propose a novel deep learning architecture for cascade growth prediction, called CasGCN, which employs the graph convolutional network to extract structural features from a graphical input, followed by the application of the attention mechanism on both the extracted features and the temporal information before conducting cascade size prediction.