325 citations · 399 across the 8 of their papers we have counts for
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cs.CV2016★ 12 cited
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Jinghua Wang, Zhenhua Wang, Dacheng Tao +2
In this paper, we tackle the problem of RGB-D semantic segmentation of indoor images. We take advantage of deconvolutional networks which can predict pixel-wise class labels, and d…
cs.CV2016★ 51 cited
Recurrent Attentional Networks for Saliency Detection
Jason Kuen, Zhenhua Wang, Gang Wang
Convolutional-deconvolution networks can be adopted to perform end-to-end saliency detection. But, they do not work well with objects of multiple scales. To overcome such a limitat…