61 citations · 113 across the 14 of their papers we have counts for
3 papers · 1 filter
Output Constraint Transfer for Kernelized Correlation Filter in Tracking
Baochang Zhang, Zhigang Li, Xianbin Cao +5
Kernelized Correlation Filter (KCF) is one of the state-of-the-art object trackers. However, it does not reasonably model the distribution of correlation response during tracking p…
Object Specific Deep Learning Feature and Its Application to Face Detection
Xianxu Hou, Ke Sun, Linlin Shen +1
We present a method for discovering and exploiting object specific deep learning features and use face detection as a case study. Motivated by the observation that certain convolut…
Latent Constrained Correlation Filters for Object Localization
Shangzhen Luan, Baochang Zhang, Jungong Han +4
There is a neglected fact in the traditional machine learning methods that the data sampling can actually lead to the solution sampling. We consider this observation to be importan…