119 citations · 222 across the 3 of their papers we have counts for
3 papers
cs.LG2017★ 119 cited
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He +3
Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions. Despite effectiven…
cs.CV2017
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection
Lina Wei, Fangfang Wang, Xi Li +2
As an important and challenging problem in computer vision, video saliency detection is typically cast as a spatiotemporal context modeling problem over consecutive frames. As a re…
cs.CV2017★ 103 cited
Video Question Answering via Attribute-Augmented Attention Network Learning
Yunan Ye, Zhou Zhao, Yimeng Li +3
Video Question Answering is a challenging problem in visual information retrieval, which provides the answer to the referenced video content according to the question. However, the…