2k citations · 6.5k across the 82 of their papers we have counts for
82 papers
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition
Cong Wu, Xiao-Jun Wu, Josef Kittler +4
Contrastive learning has achieved great success in skeleton-based action recognition. However, most existing approaches encode the skeleton sequences as entangled spatiotemporal re…
Generative-based Fusion Mechanism for Multi-Modal Tracking
Zhangyong Tang, Tianyang Xu, Xuefeng Zhu +2
Generative models (GMs) have received increasing research interest for their remarkable capacity to achieve comprehensive understanding. However, their potential application in the…
Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System
Xue-Feng Zhu, Tianyang Xu, Jian Zhao +9
Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including transportation, surveillance, and military. However, their potential for safety and privacy violation…
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Hui Li, Tianyang Xu, Xiao-Jun Wu +2
Deep learning based fusion methods have been achieving promising performance in image fusion tasks. This is attributed to the network architecture that plays a very important role…
Adaptive Log-Euclidean Metrics for SPD Matrix Learning
Ziheng Chen, Yue Song, Tianyang Xu +3
Symmetric Positive Definite (SPD) matrices have received wide attention in machine learning due to their intrinsic capacity to encode underlying structural correlation in data. Man…
SDA-Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation
Qingbei Guo, Xiao-Jun Wu, Zhiquan Feng +2
Existing multi-scale solutions lead to a risk of just increasing the receptive field sizes while neglecting small receptive fields. Thus, it is a challenging problem to effectively…
RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking
Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang +5
RGB-D object tracking has attracted considerable attention recently, achieving promising performance thanks to the symbiosis between visual and depth channels. However, given a lim…
DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification
Rui Wang, Xiao-Jun Wu, Ziheng Chen +2
Image set-based visual classification methods have achieved remarkable performance, via characterising the image set in terms of a non-singular covariance matrix on a symmetric pos…
Low-rank features based double transformation matrices learning for image classification
Yu-Hong Cai, Xiao-Jun Wu, Zhe Chen
Linear regression is a supervised method that has been widely used in classification tasks. In order to apply linear regression to classification tasks, a technique for relaxing re…
TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network
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. However, long-range de…
Unsupervised Image Fusion Method based on Feature Mutual Mapping
Dongyu Rao, Xiao-Jun Wu, Tianyang Xu +1
Deep learning-based image fusion approaches have obtained wide attention in recent years, achieving promising performance in terms of visual perception. However, the fusion module…
A Survey for Deep RGBT Tracking
Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu
Visual object tracking with the visible (RGB) and thermal infrared (TIR) electromagnetic waves, shorted in RGBT tracking, recently draws increasing attention in the tracking commun…
Face recognition via compact second order image gradient orientations
He-Feng Yin, Xiao-Jun Wu, Xiaoning Song
Conventional subspace learning approaches based on image gradient orientations only employ the first-order gradient information. However, recent researches on human vision system (…
Temporal Aggregation for Adaptive RGBT Tracking
Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu
Visual object tracking with RGB and thermal infrared (TIR) spectra available, shorted in RGBT tracking, is a novel and challenging research topic which draws increasing attention n…
Discriminative Supervised Subspace Learning for Cross-modal Retrieval
Haoming Zhang, Xiao-Jun Wu, Tianyang Xu +1
Nowadays the measure between heterogeneous data is still an open problem for cross-modal retrieval. The core of cross-modal retrieval is how to measure the similarity between diffe…
Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model
Xiaoqing Luo, Yuting Jiang, Anqi Wang +2
The traditional two-state hidden Markov model divides the high frequency coefficients only into two states (large and small states). Such scheme is prone to produce an inaccurate s…
A Joint Convolution Auto-encoder Network for Infrared and Visible Image Fusion
Zhancheng Zhang, Yuanhao Gao, Mengyu Xiong +2
Background: Leaning redundant and complementary relationships is a critical step in the human visual system. Inspired by the infrared cognition ability of crotalinae animals, we de…
Collaborative Representation for SPD Matrices with Application to Image-Set Classification
Li Chu, Rui Wang, Xiao-Jun Wu
Collaborative representation-based classification (CRC) has demonstrated remarkable progress in the past few years because of its closed-form analytical solutions. However, the exi…
Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking
Zhangyong Tang, Tianyang Xu, Hui Li +3
We address the problem of multi-modal object tracking in video and explore various options of fusing the complementary information conveyed by the visible (RGB) and thermal infrare…
Riemannian Local Mechanism for SPD Neural Networks
Ziheng Chen, Tianyang Xu, Xiao-Jun Wu +3
The Symmetric Positive Definite (SPD) matrices have received wide attention for data representation in many scientific areas. Although there are many different attempts to develop…
Visual Object Tracking on Multi-modal RGB-D Videos: A Review
Xue-Feng Zhu, Tianyang Xu, Xiao-Jun Wu
The development of visual object tracking has continued for decades. Recent years, as the wide accessibility of the low-cost RGBD sensors, the task of visual object tracking on RGB…
Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
Jianjun Liu, Zebin Wu, Liang Xiao +1
This paper focuses on hyperspectral image (HSI) super-resolution that aims to fuse a low-spatial-resolution HSI and a high-spatial-resolution multispectral image to form a high-spa…
Video Is Graph: Structured Graph Module for Video Action Recognition
Rongchang Li, Xiao-Jun Wu, Tianyang Xu
In the field of action recognition, video clips are always treated as ordered frames for subsequent processing. To achieve spatio-temporal perception, existing approaches propose t…
MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval
Donglin Zhang, Xiao-Jun Wu, He-Feng Yin +1
In recent years, cross-media hashing technique has attracted increasing attention for its high computation efficiency and low storage cost. However, the existing approaches still h…