1 code implementation • 9 Aug 2022 • Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong
MCM builds a motif vocabulary in an unsupervised way and deploys a novel motif convolution operation to extract the local structural context of individual nodes, which is then used to learn higher-level node representations via multilayer perceptron and/or message passing in graph neural networks.
no code implementations • NeurIPS 2017 • Guobin Chen, Wongun Choi, Xiang Yu, Tony Han, Manmohan Chandraker
In this work, we propose a new framework to learn compact and fast ob- ject detection networks with improved accuracy using knowledge distillation [20] and hint learning [34].
no code implementations • 10 Dec 2014 • Xiaoyu Wang, Tianbao Yang, Guobin Chen, Yuanqing Lin
In contrast, this paper proposes an \emph{object-centric sampling} (OCS) scheme that samples image windows based on the object location information.