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DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen, Liang Lin, Lingbo Liu +2
Salient object detection increasingly receives attention as an important component or step in several pattern recognition and image processing tasks. Although a variety of powerful…
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
Jiale Cao, Yanwei Pang, Xuelong Li
The discrimination and simplicity of features are very important for effective and efficient pedestrian detection. However, most state-of-the-art methods are unable to achieve good…
Moving Object Detection in Video Using Saliency Map and Subspace Learning
Yanwei Pang, Li Ye, Xuelong Li +1
Moving object detection is a key to intelligent video analysis. On the one hand, what moves is not only interesting objects but also noise and cluttered background. On the other ha…
Cascade Learning by Optimally Partitioning
Yanwei Pang, Jiale Cao, Xuelong Li
Cascaded AdaBoost classifier is a well-known efficient object detection algorithm. The cascade structure has many parameters to be determined. Most of existing cascade learning alg…
Learning Sampling Distributions for Efficient Object Detection
Yanwei Pang, Jiale Cao, Xuelong Li
Object detection is an important task in computer vision and learning systems. Multistage particle windows (MPW), proposed by Gualdi et al., is an algorithm of fast and accurate ob…
Relay Selection for Wireless Communications Against Eavesdropping: A Security-Reliability Tradeoff Perspective
Yulong Zou, Jia Zhu, Xuelong Li +1
This article examines the secrecy coding aided wireless communications from a source to a destination in the presence of an eavesdropper from a security-reliability tradeoff (SRT)…