35 citations · 141 across the 18 of their papers we have counts for
7 papers · 1 filter
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
Pengfei Zhang, Jianru Xue, Cuiling Lan +3
Recurrent neural networks (RNNs) are capable of modeling temporal dependencies of complex sequential data. In general, current available structures of RNNs tend to concentrate on c…
Semantics-Aligned Representation Learning for Person Re-identification
Xin Jin, Cuiling Lan, Wenjun Zeng +2
Person re-identification (reID) aims to match person images to retrieve the ones with the same identity. This is a challenging task, as the images to be matched are generally seman…
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing
Xin Jin, Cuiling Lan, Wenjun Zeng +2
Objects at different spatial positions in an image exhibit different scales. Adaptive receptive fields are expected to capture suitable ranges of context for accurate pixel level s…
Relation-Aware Global Attention for Person Re-identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng +2
For person re-identification (re-id), attention mechanisms have become attractive as they aim at strengthening discriminative features and suppressing irrelevant ones, which matche…
Target-Tailored Source-Transformation for Scene Graph Generation
Wentong Liao, Cuiling Lan, Wenjun Zeng +2
Scene graph generation aims to provide a semantic and structural description of an image, denoting the objects (with nodes) and their relationships (with edges). The best performin…
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Pengfei Zhang, Cuiling Lan, Wenjun Zeng +3
Skeleton-based human action recognition has attracted great interest thanks to the easy accessibility of the human skeleton data. Recently, there is a trend of using very deep feed…