536 citations · 1.3k across the 27 of their papers we have counts for
3 papers · 1 filter
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection
Qingshan Liu, Jing Yang, Kaihua Zhang +1
Recently, the compressive tracking (CT) method has attracted much attention due to its high efficiency, but it cannot well deal with the large scale target appearance variations du…
Joint Active Learning with Feature Selection via CUR Matrix Decomposition
Changsheng Li, Xiangfeng Wang, Weishan Dong +3
This paper presents an unsupervised learning approach for simultaneous sample and feature selection, which is in contrast to existing works which mainly tackle these two problems s…
Robust Visual Tracking via Convolutional Networks
Kaihua Zhang, Qingshan Liu, Yi Wu +1
Deep networks have been successfully applied to visual tracking by learning a generic representation offline from numerous training images. However the offline training is time-con…