427 citations · 1.1k across the 82 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…
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
Qixiang Ye, Tianliang Zhang, Qiang Qiu +3
In this paper, a self-learning approach is proposed towards solving scene-specific pedestrian detection problem without any human' annotation involved. The self-learning approach i…
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…