activity
20122017
most citedLatent Constrained Correlation Filter

49 citations · 55 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2017★ 49 cited

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…

cs.CV2016

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…

cs.CV2016

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…

stat.ML2015

Hierarchical learning of grids of microtopics

Nebojsa Jojic, Alessandro Perina, Dongwoo Kim

The counting grid is a grid of microtopics, sparse word/feature distributions. The generative model associated with the grid does not use these microtopics individually. Rather, it…

cs.CV2015

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…

cs.CV2014

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…

cs.CV2013★ 2 cited

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…

cs.IR2012★ 4 cited

Multidimensional counting grids: Inferring word order from disordered bags of words

Nebojsa Jojic, Alessandro Perina

Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a…