Fei Qin — accepted AI-conference papers

2018

Linear Span Network for Object Skeleton Detection

ECCV 2018poster

Robust object skeleton detection requires to explore rich representative visual features and effective feature fusion strategies. In this paper, we first re-visit the implementation of HED, the essential principle of which can be ideally described with a linear reconstruction model. Hinted by this,…

Cited by 45 Source ↗PDF ↗Scholar ↗

2017

A scalable convolutional neural network for task-specified scenarios via knowledge distillation

Mengnan Shi, Fei Qin, Qixiang Ye, Zhenjun Han, Jianbin Jiao

ICASSP 2017accepted

In this paper, we explore the redundancy in convolutional neural network, which scales with the complexity of vision tasks. Considering that many front-end visual systems are interested in only a limited range of visual targets, the removing of task-specified network redundancy can promote a wide ra…

Cited by 0 Source ↗Scholar ↗