Multi-stage architectures have exhibited efficacy in image dehazing, whi...
In image denoising networks, feature scaling is widely used to enlarge t...
Due to the noises in crowdsourced labels, label aggregation (LA) has eme...
Although deep convolution neural networks (DCNN) have achieved excellent...
Due to object detection's close relationship with video analysis and ima...
This paper studies the subspace segmentation problem which aims to segme...