Search Results for author: Xiao-Jun Wu

Found 84 papers, 26 papers with code

NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition

no code implementations12 May 2022 Shuang Wu, Xiaoning Song, ZhenHua Feng, Xiao-Jun Wu

To deal with this issue, we advocate a novel lexical enhancement method, InterFormer, that effectively reduces the amount of computational and memory costs by constructing non-flat lattices.

Chinese Named Entity Recognition NER

Low-rank features based double transformation matrices learning for image classification

no code implementations28 Jan 2022 Yu-Hong Cai, Xiao-Jun Wu, Zhe Chen

However, methods based on this technique ignore the pressure on a single transformation matrix due to the complex information contained in the data.

Classification Image Classification

Discriminative Supervised Subspace Learning for Cross-modal Retrieval

no code implementations26 Jan 2022 Haoming Zhang, Xiao-Jun Wu, Tianyang Xu, Donglin Zhang

Thirdly, we introduce a similarity preservation term, thus our model can compensate for the shortcomings of insufficient use of discriminative data and better preserve the semantically structural information within each modality.

Cross-Modal Retrieval Semantic Similarity +1

Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model

no code implementations26 Jan 2022 Xiaoqing Luo, Yuting Jiang, Anqi Wang, Zhancheng Zhang, Xiao-Jun Wu

The traditional two-state hidden Markov model divides the high frequency coefficients only into two states (large and small states).

Infrared And Visible Image Fusion

TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network

no code implementations25 Jan 2022 Dongyu Rao, Xiao-Jun Wu, Tianyang Xu

The end-to-end image fusion framework has achieved promising performance, with dedicated convolutional networks aggregating the multi-modal local appearance.

Infrared And Visible Image Fusion

Unsupervised Image Fusion Method based on Feature Mutual Mapping

no code implementations25 Jan 2022 Dongyu Rao, Xiao-Jun Wu, Tianyang Xu, Guoyang Chen

We propose a feature mutual mapping fusion module and dual-branch multi-scale autoencoder.

Face recognition via compact second order image gradient orientations

1 code implementation23 Jan 2022 He-Feng Yin, Xiao-Jun Wu, Xiaoning Song

The second order image gradient orientations (SOIGO) can mitigate the adverse effect of noises in face images.

Face Recognition

A Survey for Deep RGBT Tracking

no code implementations23 Jan 2022 Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu

This survey can be treated as a look-up-table for researchers who are concerned about RGBT tracking.

Visual Object Tracking

Collaborative Representation for SPD Matrices with Application to Image-Set Classification

no code implementations22 Jan 2022 Li Chu, Rui Wang, Xiao-Jun Wu

Recent advances illustrate that how to effectively model these nonlinear variational information and learn invariant representations is an open challenge in the community of computer vision and pattern recognition To this end, we try to design a new algorithm to handle this problem.

Temporal Aggregation for Adaptive RGBT Tracking

1 code implementation22 Jan 2022 Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu

Specifically, different from traditional Siamese trackers, which only obtain one search image during the process of picking up template-search image pairs, an extra search sample adjacent to the original one is selected to predict the temporal transformation, resulting in improved robustness of tracking performance. As for multi-modal tracking, constrained to the limited RGBT datasets, the adaptive fusion sub-network is appended to our method at the decision level to reflect the complementary characteristics contained in two modalities.

Visual Object Tracking

Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking

no code implementations21 Jan 2022 Zhangyong Tang, Tianyang Xu, Hui Li, Xiao-Jun Wu, XueFeng Zhu, Josef Kittler

The effectiveness of the proposed decision-level fusion strategy owes to a number of innovative contributions, including a dynamic weighting of the RGB and TIR contributions and a linear template update operation.

Visual Object Tracking

Res2NetFuse: A Fusion Method for Infrared and Visible Images

no code implementations29 Dec 2021 Xu Song, Xiao-Jun Wu, Hui Li, Jun Sun, Vasile Palade

The Res2Net-based encoder is used to extract multi-scale features of source images, the paper introducing a new training strategy for training a Res2Net-based encoder that uses only a single image.

Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution

no code implementations22 Oct 2021 Jianjun Liu, Zebin Wu, Liang Xiao, Xiao-Jun Wu

Inspired by the specific properties of model, we make the first attempt to design a model inspired deep network for HSI super-resolution in an unsupervised manner.

Hyperspectral Image Super-Resolution Image Super-Resolution

Video Is Graph: Structured Graph Module for Video Action Recognition

no code implementations12 Oct 2021 Rongchang Li, Xiao-Jun Wu, Tianyang Xu

In this paper, we first propose to transform a video sequence into a graph to obtain direct long-term dependencies among temporal frames.

Action Recognition

MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval

no code implementations17 Aug 2021 Donglin Zhang, Xiao-Jun Wu, He-Feng Yin, Josef Kittler

To this end, we develop a novel Multiple hash cOdes jOint learNing method (MOON) for cross-media retrieval.

RFN-Nest: An end-to-end residual fusion network for infrared and visible images

1 code implementation7 Mar 2021 Hui Li, Xiao-Jun Wu, Josef Kittler

The most difficult part of the design is to choose an appropriate strategy to generate the fused image for a specific task in hand.

Infrared And Visible Image Fusion

Differentiable Neural Architecture Learning for Efficient Neural Network Design

1 code implementation3 Mar 2021 Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng

To address this computational complexity issue, we introduce a novel \emph{architecture parameterisation} based on scaled sigmoid function, and propose a general \emph{Differentiable Neural Architecture Learning} (DNAL) method to optimize the neural architecture without the need to evaluate candidate neural networks.

Neural Architecture Search

A Dual-branch Network for Infrared and Visible Image Fusion

2 code implementations24 Jan 2021 Yu Fu, Xiao-Jun Wu

Deep learning is a rapidly developing approach in the field of infrared and visible image fusion.

Infrared And Visible Image Fusion SSIM

Self-grouping Convolutional Neural Networks

1 code implementation29 Sep 2020 Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng

To tackle this issue, we propose a novel method of designing self-grouping convolutional neural networks, called SG-CNN, in which the filters of each convolutional layer group themselves based on the similarity of their importance vectors.

Domain Adaptation Object Detection +1

NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models

1 code implementation1 Jul 2020 Hui Li, Xiao-Jun Wu, Tariq Durrani

In our proposed fusion strategy, spatial attention models and channel attention models are developed that describe the importance of each spatial position and of each channel with deep features.

Infrared And Visible Image Fusion

AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking

no code implementations27 May 2020 Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler

To this end, we propose a failure-aware system, realised by a Quality Prediction Network (QPN), based on convolutional and LSTM modules in the decision stage, enabling online reporting of potential tracking failures.

Frame One-Shot Learning +1

Peeking into occluded joints: A novel framework for crowd pose estimation

1 code implementation ECCV 2020 Lingteng Qiu, Xuanye Zhang, Yan-ran Li, Guanbin Li, Xiao-Jun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui

Although occlusion widely exists in nature and remains a fundamental challenge for pose estimation, existing heatmap-based approaches suffer serious degradation on occlusions.

Pose Estimation

Learning efficient structured dictionary for image classification

no code implementations9 Feb 2020 Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin

Recent years have witnessed the success of dictionary learning (DL) based approaches in the domain of pattern classification.

Classification Dictionary Learning +2

Improved dual channel pulse coupled neural network and its application to multi-focus image fusion

no code implementations4 Feb 2020 Huai-Shui Tong, Xiao-Jun Wu, Hui Li

This paper presents an improved dual channel pulse coupled neural network (IDC-PCNN) model for image fusion.

Face Verification via learning the kernel matrix

no code implementations21 Jan 2020 Ning Yuan, Xiao-Jun Wu, He-Feng Yin

The method CSKDA needs to choose a proper kernel function through many experiments, while the new method could learn the kernel from data automatically which could save a lot of time and have the robust performance.

Face Verification

Adaptive Distraction Context Aware Tracking Based on Correlation Filter

no code implementations24 Dec 2019 Fei Feng, Xiao-Jun Wu, Tianyang Xu, Josef Kittler, Xue-Feng Zhu

In the response map obtained for the previous frame by the CF algorithm, we adaptively find the image blocks that are similar to the target and use them as negative samples.

Frame

Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms

no code implementations24 Dec 2019 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 performance recently.

Visual Tracking

A Compared Study Between Some Subspace Based Algorithms

no code implementations23 Dec 2019 Xing Liu, Xiao-Jun Wu, Zhen Liu, He-Feng Yin

The technology of face recognition has made some progress in recent years.

Face Recognition

2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm

no code implementations23 Dec 2019 Xing Liu, Xiao-Jun Wu, Zi-Qi Li

In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for face recognition.

Face Recognition

Research on Clustering Performance of Sparse Subspace Clustering

no code implementations21 Dec 2019 Wen-Jin Fu, Xiao-Jun Wu, He-Feng Yin, Wen-Bo Hu

Recently, sparse subspace clustering has been a valid tool to deal with high-dimensional data.

Collaborative representation-based robust face recognition by discriminative low-rank representation

no code implementations17 Dec 2019 Wen Zhao, Xiao-Jun Wu, He-Feng Yin, Zi-Qi Li

Collaborative representation based classification (CRC) method is exploited in our proposed method which has closed-form solution.

Face Recognition General Classification +2

Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering

no code implementations17 Dec 2019 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 constraint (FSSC), which constructs a new objective function with a symmetric constraint basing on F-norm, whose the most significant advantage is to obtain a closed-form solution of the coefficient matrix.

Face Clustering Motion Segmentation

Multi-focus Image Fusion Based on Similarity Characteristics

no code implementations17 Dec 2019 Ya-Qiong Zhang, Xiao-Jun Wu, Hui Li

For three source images, a joint region segmentation method based on segmentation of two images is used to obtain the final segmentation result.

Semantic Segmentation SSIM

Low-rank representations with incoherent dictionary for face recognition

no code implementations10 Dec 2019 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.

Face Recognition

Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning

1 code implementation6 Dec 2019 He-Feng Yin, Xiao-Jun Wu, Josef Kittler

First, a low-rank representation is introduced to handle the possible contamination of the training as well as test data.

Dictionary Learning Face Recognition +1

An Accelerated Correlation Filter Tracker

no code implementations5 Dec 2019 Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler

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 robust deep neural network features.

Visual Object Tracking

Learning a Representation with the Block-Diagonal Structure for Pattern Classification

no code implementations23 Nov 2019 He-Feng Yin, Xiao-Jun Wu, Josef Kittler, Zhen-Hua Feng

To counteract this problem, we propose an approach that learns Representation with Block-Diagonal Structure (RBDS) for robust image recognition.

Classification General Classification +1

Locality Constraint Dictionary Learning with Support Vector for Pattern Classification

1 code implementation22 Nov 2019 He-Feng Yin, Xiao-Jun Wu, Su-Gen Chen

In this paper, we propose a locality constraint dictionary learning with support vector discriminative term (LCDL-SV), in which the locality information is preserved by employing the graph Laplacian matrix of the learned dictionary.

Classification Dictionary Learning +1

Class-specific residual constraint non-negative representation for pattern classification

1 code implementation22 Nov 2019 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 based classification (NRC) achieved impressive recognition results in various classification tasks.

Classification General Classification

Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning

no code implementations19 Sep 2019 Cong Hu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler

To be more specific, the encoder-decoder structured generator is used to learn a pose disentangled face representation, and the encoder-decoder structured discriminator is tasked to perform real/fake classification, face reconstruction, determining identity and estimating face pose.

Face Generation Face Recognition +4

More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation

2 code implementations16 Sep 2019 Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler

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 type of Riemannian manifolds.

Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning

no code implementations6 Aug 2019 Rui Wang, Xiao-Jun Wu, Josef Kittler

Specifically, the covariance matrix, linear subspace, and Gaussian distribution are applied for set representation simultaneously.

Classification Emotion Recognition +5

2D Attentional Irregular Scene Text Recognizer

no code implementations13 Jun 2019 Pengyuan Lyu, Zhicheng Yang, Xinhang Leng, Xiao-Jun Wu, Ruiyu Li, Xiaoyong Shen

Irregular scene text, which has complex layout in 2D space, is challenging to most previous scene text recognizers.

Transition Subspace Learning based Least Squares Regression for Image Classification

no code implementations14 May 2019 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.

Classification General Classification +1

Unsupervised Multi-modal Hashing for Cross-modal retrieval

no code implementations26 Mar 2019 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.

Content-Based Image Retrieval Cross-Modal Retrieval +1

Cross-modal Subspace Learning via Kernel Correlation Maximization and Discriminative Structure Preserving

no code implementations26 Mar 2019 Jun Yu, Xiao-Jun Wu

Our model not only considers the inter-modality correlation by maximizing the kernel correlation but also preserves the semantically structural information within each modality.

Semantic Similarity Semantic Textual Similarity

Low-Rank Discriminative Least Squares Regression for Image Classification

no code implementations19 Mar 2019 Zhe Chen, Xiao-Jun Wu, Josef Kittler

To solve above problems, we propose a low-rank discriminative least squares regression model (LRDLSR) for multi-class image classification.

Classification General Classification +1

Fisher Discriminative Least Squares Regression for Image Classification

1 code implementation19 Mar 2019 Zhe Chen, Xiao-Jun Wu, Josef Kittler

On one hand, the Fisher criterion improves the intra-class compactness of the relaxed labels during relaxation learning.

Classification Face Recognition +2

Non-negative representation based discriminative dictionary learning for face recognition

no code implementations19 Mar 2019 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.

Dictionary Learning Face Recognition +1

Discriminative Supervised Hashing for Cross-Modal similarity Search

no code implementations6 Dec 2018 Jun Yu, Xiao-Jun Wu, Josef Kittler

With the advantage of low storage cost and high retrieval efficiency, hashing techniques have recently been an emerging topic in cross-modal similarity search.

Cross-Modal Retrieval

Pose Invariant 3D Face Reconstruction

no code implementations13 Nov 2018 Lei Jiang, Xiao-Jun Wu, Josef Kittler

Our method solves the problem of face reconstruction of a single image of a traditional method in a large pose, works on arbitrary Pose and Expressions, greatly improves the accuracy of reconstruction.

3D Face Reconstruction

MDLatLRR: A novel decomposition method for infrared and visible image fusion

2 code implementations6 Nov 2018 Hui Li, Xiao-Jun Wu, Josef Kittler

We develop a novel image fusion framework based on MDLatLRR, which is used to decompose source images into detail parts(salient features) and base parts.

Infrared And Visible Image Fusion

Landmark Weighting for 3DMM Shape Fitting

no code implementations16 Aug 2018 Yu Yanga, Xiao-Jun Wu, Josef Kittler

In this paper we show that landmark weighting is instrumental to improve the accuracy of shape reconstruction and propose a novel 3D Morphable Model Fitting method.

3D Face Reconstruction

Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking

1 code implementation30 Jul 2018 Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler

The key innovations of the proposed method include adaptive spatial feature selection and temporal consistent constraints, with which the new tracker enables joint spatial-temporal filter learning in a lower dimensional discriminative manifold.

feature selection Video Object Tracking +1

Semi-supervised Hashing for Semi-Paired Cross-View Retrieval

no code implementations19 Jun 2018 Jun Yu, Xiao-Jun Wu, Josef Kittler

Recently, hashing techniques have gained importance in large-scale retrieval tasks because of their retrieval speed.

Infrared and Visible Image Fusion with ResNet and zero-phase component analysis

2 code implementations19 Jun 2018 Hui Li, Xiao-Jun Wu, Tariq S. Durrani

Feature extraction and processing tasks play a key role in Image Fusion, and the fusion performance is directly affected by the different features and processing methods undertaken.

Infrared And Visible Image Fusion

Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification

no code implementations16 Jun 2018 Kai-Xuan Chen, Xiao-Jun Wu

In the domain of pattern recognition, using the SPD (Symmetric Positive Definite) matrices to represent data and taking the metrics of resulting Riemannian manifold into account have been widely used for the task of image set classification.

General Classification

Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification

1 code implementation16 Jun 2018 Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler

We propose a novel framework for representing image sets by approximating infinite-dimensional CovDs in the paradigm of the Nystr\"om method based on a Riemannian kernel.

General Classification

Multiple Manifolds Metric Learning with Application to Image Set Classification

no code implementations30 May 2018 Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler

In image set classification, a considerable advance has been made by modeling the original image sets by second order statistics or linear subspace, which typically lie on the Riemannian manifold.

Classification Face Recognition +3

A Simple Riemannian Manifold Network for Image Set Classification

no code implementations27 May 2018 Rui Wang, Xiao-Jun Wu, Josef Kittler

The proposed RieMNet and DRieMNet are evaluated on three tasks: video-based face recognition, set-based object categorization, and set-based cell identification.

Classification Face Recognition +2

L1-(2D)2PCANet: A Deep Learning Network for Face Recognition

no code implementations26 May 2018 YunKun Li, Xiao-Jun Wu, Josef Kittler

In our network, the role of L1-(2D)2PCA is to learn the filters of multiple convolution layers.

Face Recognition

Multi-focus Noisy Image Fusion using Low-Rank Representation

2 code implementations25 Apr 2018 Hui Li, Xiao-Jun Wu, Tariq Durrani

Multi-focus noisy image fusion represents an important task in the field of image fusion which generates a single, clear and focused image from all source images.

Representation Learning

Infrared and visible image fusion using Latent Low-Rank Representation

2 code implementations24 Apr 2018 Hui Li, Xiao-Jun Wu

Then, the low-rank parts are fused by weighted-average strategy to preserve more contour information.

Infrared And Visible Image Fusion

DenseFuse: A Fusion Approach to Infrared and Visible Images

4 code implementations23 Apr 2018 Hui Li, Xiao-Jun Wu

In this paper, we present a novel deep learning architecture for infrared and visible images fusion problem.

Multi-focus Image Fusion using dictionary learning and Low-Rank Representation

2 code implementations23 Apr 2018 Hui Li, Xiao-Jun Wu

In this paper, we propose a novel multi-focus image fusion method based on dictionary learning and LRR to get a better performance in both global and local structure.

Dictionary Learning Representation Learning

Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild

no code implementations14 Mar 2018 Zhen-Hua Feng, Patrik Huber, Josef Kittler, Peter JB Hancock, Xiao-Jun Wu, Qijun Zhao, Paul Koppen, Matthias Rätsch

To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as well as their 3D ground truth face scans.

3D Face Reconstruction 3D Reconstruction +1

Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

6 code implementations CVPR 2018 Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao-Jun Wu

We present a new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs).

 Ranked #1 on Face Alignment on 300W (NME_inter-pupil (%, Common) metric)

Data Augmentation Face Alignment

A Unified Tensor-based Active Appearance Face Model

no code implementations30 Dec 2016 Zhen-Hua Feng, Josef Kittler, William Christmas, Xiao-Jun Wu

To deal with this challenge, we present a Unified Tensor-based Active Appearance Model (UT-AAM) for jointly modelling the geometry and texture information of 2D faces.

Face Model

Dictionary Integration using 3D Morphable Face Models for Pose-invariant Collaborative-representation-based Classification

no code implementations1 Nov 2016 Xiaoning Song, Zhen-Hua Feng, Guosheng Hu, Josef Kittler, William Christmas, Xiao-Jun Wu

The paper presents a dictionary integration algorithm using 3D morphable face models (3DMM) for pose-invariant collaborative-representation-based face classification.

Classification General Classification

Random Drift Particle Swarm Optimization

no code implementations12 Jun 2013 Jun Sun, Xiao-Jun Wu, Vasile Palade, Wei Fang, Yuhui Shi

The free electron model considers that electrons have both a thermal and a drift motion in a conductor that is placed in an external electric field.

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