49 citations · 55 across the 8 of their papers we have counts for
6 papers · 1 filter
Latent Constrained Correlation Filter
Baochang Zhang, Shangzhen Luan, Chen Chen +4
Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a s…
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…
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…
3D Pose from Detections
Cosimo Rubino, Marco Crocco, Alessandro Perina +2
We present a novel method to infer, in closed-form, a general 3D spatial occupancy and orientation of a collection of rigid objects given 2D image detections from a sequence of ima…
Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features
Alessandro Perina, Nebojsa Jojic
In recent scene recognition research images or large image regions are often represented as disorganized "bags" of features which can then be analyzed using models originally devel…
In the sight of my wearable camera: Classifying my visual experience
Alessandro Perina, Nebojsa Jojic
We introduce and we analyze a new dataset which resembles the input to biological vision systems much more than most previously published ones. Our analysis leaded to several impor…