7 citations · 13 across the 5 of their papers we have counts for
5 papers · 1 filter
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Rui Qiu, Ming Xu, Yuyao Yan +2
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions. Using multi-view information fusion…
Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization
Shiyang Yan, Yuan Xie, Fangyu Wu +3
Automatically generating the descriptions of an image, i.e., image captioning, is an important and fundamental topic in artificial intelligence, which bridges the gap between compu…
Hierarchical Multi-scale Attention Networks for Action Recognition
Shiyang Yan, Jeremy S. Smith, Wenjin Lu +1
Recurrent Neural Networks (RNNs) have been widely used in natural language processing and computer vision. Among them, the Hierarchical Multi-scale RNN (HM-RNN), a kind of multi-sc…
Traffic scene recognition based on deep cnn and vlad spatial pyramids
Fang-Yu Wu, Shi-Yang Yan, Jeremy S. Smith +1
Traffic scene recognition is an important and challenging issue in Intelligent Transportation Systems (ITS). Recently, Convolutional Neural Network (CNN) models have achieved great…
CHAM: action recognition using convolutional hierarchical attention model
Shiyang Yan, Jeremy S. Smith, Wenjin Lu +1
Recently, the soft attention mechanism, which was originally proposed in language processing, has been applied in computer vision tasks like image captioning. This paper presents i…