2k citations · 6.5k across the 82 of their papers we have counts for
23 papers · 1 filter
Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms
Yi-Xuan Wang, Xiao-Jun Wu, Xue-Feng Zhu
With the guaranteed discrimination and efficiency of spatial appearance model, Discriminative Correlation Filters (DCF-) based tracking methods have achieved outstanding performanc…
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…
Research on Clustering Performance of Sparse Subspace Clustering
Wen-Jin Fu, Xiao-Jun Wu, He-Feng Yin +1
Recently, sparse subspace clustering has been a valid tool to deal with high-dimensional data. There are two essential steps in the framework of sparse subspace clustering. One is…
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering
Kai Xu, Xiao-Jun Wu, Wen-Bo Hu
Based on further studying the low-rank subspace clustering (LRSC) and L2-graph subspace clustering algorithms, we propose a F-graph subspace clustering algorithm with a symmetric c…
Collaborative representation-based robust face recognition by discriminative low-rank representation
Wen Zhao, Xiao-Jun Wu, He-Feng Yin +1
We consider the problem of robust face recognition in which both the training and test samples might be corrupted because of disguise and occlusion. Performance of conventional sub…
Low-rank representations with incoherent dictionary for face recognition
Pei Xie, He-Feng Yin, Xiao-Jun Wu
Face recognition remains a hot topic in computer vision, and it is challenging to tackle the problem that both the training and testing images are corrupted. In this paper, we prop…
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…
Multi-focus Image Fusion Based on Similarity Characteristics
Ya-Qiong Zhang, Xiao-Jun Wu, Hui Li
A novel multi-focus image fusion algorithm performed in spatial domain based on similarity characteristics is proposed incorporating with region segmentation. In this paper, a new…
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…
Locality Constraint Dictionary Learning with Support Vector for Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Su-Gen Chen
Discriminative dictionary learning (DDL) has recently gained significant attention due to its impressive performance in various pattern classification tasks. However, the locality…
Class-specific residual constraint non-negative representation for pattern classification
He-Feng Yin, Xiao-Jun Wu
Representation based classification method (RBCM) remains one of the hottest topics in the community of pattern recognition, and the recently proposed non-negative representation 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.…
Cross-modal Subspace Learning via Kernel Correlation Maximization and Discriminative Structure Preserving
Jun Yu, Xiao-Jun Wu
The measure between heterogeneous data is still an open problem. Many research works have been developed to learn a common subspace where the similarity between different modalitie…
Unsupervised Multi-modal Hashing for Cross-modal retrieval
Jun Yu, Xiao-Jun Wu
With the advantage of low storage cost and high efficiency, hashing learning has received much attention in the domain of Big Data. In this paper, we propose a novel unsupervised h…
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…