371 citations · 779 across the 19 of their papers we have counts for
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cs.CV2016★ 18 cited
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He +5
A Semantic Compositional Network (SCN) is developed for image captioning, in which semantic concepts (i.e., tags) are detected from the image, and the probability of each tag is us…
cs.CV2016★ 5 cited
Adaptive Feature Abstraction for Translating Video to Text
Yunchen Pu, Martin Renqiang Min, Zhe Gan +1
Previous models for video captioning often use the output from a specific layer of a Convolutional Neural Network (CNN) as video features. However, the variable context-dependent s…
cs.CV2015★ 13 cited
A Deep Generative Deconvolutional Image Model
Yunchen Pu, Xin Yuan, Andrew Stevens +2
A deep generative model is developed for representation and analysis of images, based on a hierarchical convolutional dictionary-learning framework. Stochastic {\em unpooling} is e…