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16 papers · 1 filter
Adaptive Distraction Context Aware Tracking Based on Correlation Filter
Fei Feng, Xiao-Jun Wu, Tianyang Xu +2
The Discriminative Correlation Filter (CF) uses a circulant convolution operation to provide several training samples for the design of a classifier that can distinguish the target…
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning
He-Feng Yin, Xiao-Jun Wu, Josef Kittler
Face recognition has been widely studied due to its importance in smart cities applications. However, the case when both training and test images are corrupted is not well solved.…
An Accelerated Correlation Filter Tracker
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu +1
Recent visual object tracking methods have witnessed a continuous improvement in the state-of-the-art with the development of efficient discriminative correlation filters (DCF) and…
Learning a Representation with the Block-Diagonal Structure for Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Josef Kittler +1
Sparse-representation-based classification (SRC) has been widely studied and developed for various practical signal classification applications. However, the performance of a SRC-b…
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation
Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren +2
We consider a family of structural descriptors for visual data, namely covariance descriptors (CovDs) that lie on a non-linear symmetric positive definite (SPD) manifold, a special…
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
Cong Hu, Zhen-Hua Feng, Xiao-Jun Wu +1
To learn disentangled representations of facial images, we present a Dual Encoder-Decoder based Generative Adversarial Network (DED-GAN). In the proposed method, both the generator…
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
Lei Jiang Xiao-Jun Wu Josef Kittler
3D face alignment of monocular images is a crucial process in the recognition of faces with disguise.3D face reconstruction facilitated by alignment can restore the face structure…
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning
Rui Wang, XiaoJun Wu, Josef Kittler
The importance of wild video based image set recognition is becoming monotonically increasing. However, the contents of these collected videos are often complicated, and how to eff…
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu +1
We propose a new Group Feature Selection method for Discriminative Correlation Filters (GFS-DCF) based visual object tracking. The key innovation of the proposed method is to perfo…
Transition Subspace Learning based Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Only learning one projection matrix from original samples to the corresponding binary labels is too strict and will consequentlly lose some intrinsic geometric structures of data.…
Multi-Task Kernel Null-Space for One-Class Classification
Shervin Rahimzadeh Arashloo, Josef Kittler
The one-class kernel spectral regression (OC-KSR), the regression-based formulation of the kernel null-space approach has been found to be an effective Fisher criterion-based metho…
Visual Semantic Information Pursuit: A Survey
Daqi Liu, Miroslaw Bober, Josef Kittler
Visual semantic information comprises two important parts: the meaning of each visual semantic unit and the coherent visual semantic relation conveyed by these visual semantic unit…
Non-negative representation based discriminative dictionary learning for face recognition
Zhe Chen, Xiao-Jun Wu, Josef Kittler
In this paper, we propose a non-negative representation based discriminative dictionary learning algorithm (NRDL) for multicategory face classification. In contrast to traditional…
Fisher Discriminative Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Discriminative least squares regression (DLSR) has been shown to achieve promising performance in multi-class image classification tasks. Its key idea is to force the regression la…
Low-Rank Discriminative Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Latest least squares regression (LSR) methods mainly try to learn slack regression targets to replace strict zero-one labels. However, the difference of intra-class targets can als…
Robust One-Class Kernel Spectral Regression
Shervin Rahimzadeh Arashloo, Josef Kittler
The kernel null-space technique and its regression-based formulation (called one-class kernel spectral regression, a.k.a. OC-KSR) is known to be an effective and computationally at…