547 citations · 846 across the 24 of their papers we have counts for
4 papers · 1 filter
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng +1
In skeleton-based action recognition, graph convolutional networks (GCNs), which model the human body skeletons as spatiotemporal graphs, have achieved remarkable performance. Howe…
PCN: Part and Context Information for Pedestrian Detection with CNNs
Shiguang Wang, Jian Cheng, Haijun Liu +1
Pedestrian detection has achieved great improvements in recent years, while complex occlusion handling is still one of the most important problems. To take advantage of the body pa…
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
Jian Cheng, Peisong Wang, Gang Li +2
Deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems. At the same time, the computational c…
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
Qinghao Hu, Peisong Wang, Jian Cheng
Deep convolutional neural networks (CNNs) have shown appealing performance on various computer vision tasks in recent years. This motivates people to deploy CNNs to realworld appli…