547 citations · 846 across the 24 of their papers we have counts for
5 papers · 1 filter
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
Ming Qian, Congyu Qiao, Jiamin Lin +4
A photo captured with bokeh effect often means objects in focus are sharp while the out-of-focus areas are all blurred. DSLR can easily render this kind of effect naturally. Howeve…
Faster Person Re-Identification
Guan'an Wang, Shaogang Gong, Jian Cheng +1
Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact b…
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng +1
Dynamic skeletal data, represented as the 2D/3D coordinates of human joints, has been widely studied for human action recognition due to its high-level semantic information and env…
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng +1
Skeleton data, which consists of only the 2D/3D coordinates of the human joints, has been widely studied for human action recognition. Existing methods take the semantics as prior…
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
Guan-An Wang, Tianzhu Zhang. Yang Yang, Jian Cheng +3
RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. The key solution is to learn aligned features t…