Xiao-Jun Wu

About Xiao-Jun Wu

Xiao-Jun Wu, With an exceptional h-index of 59 and a recent h-index of 49 (since 2020), a distinguished researcher at Jiangnan University, specializes in the field of artificial intelligence, pattern recognition, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Method

Self-supervised learning for RGB-D object tracking

An Improved Graph Pooling Network for Skeleton-Based Action Recognition

Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach

Chinese Ancient Paintings Inpainting Based on Edge Guidance and Multi-Scale Residual Blocks

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition

Generative-Based Fusion Mechanism for Multi-Modal Tracking

FC-TFS-CGRU: A Temporal–Frequency–Spatial Electroencephalography Emotion Recognition Model Based on Functional Connectivity and a Convolutional Gated Recurrent Unit Hybrid …

Xiao-Jun Wu Information

University

Position

School of Artificial Intelligence and Computer Science

Citations(all)

17246

Citations(since 2020)

12600

Cited By

8127

hIndex(all)

59

hIndex(since 2020)

49

i10Index(all)

249

i10Index(since 2020)

185

Email

University Profile Page

Google Scholar

Xiao-Jun Wu Skills & Research Interests

artificial intelligence

pattern recognition

machine learning

Top articles of Xiao-Jun Wu

Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Method

arXiv preprint arXiv:2405.00168

2024/4/30

Self-supervised learning for RGB-D object tracking

Pattern Recognition

2024/4/28

An Improved Graph Pooling Network for Skeleton-Based Action Recognition

arXiv preprint arXiv:2404.16359

2024/4/25

Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach

Neural Computing and Applications

2024/4

Chinese Ancient Paintings Inpainting Based on Edge Guidance and Multi-Scale Residual Blocks

Electronics

2024/3/26

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

FC-TFS-CGRU: A Temporal–Frequency–Spatial Electroencephalography Emotion Recognition Model Based on Functional Connectivity and a Convolutional Gated Recurrent Unit Hybrid …

Sensors

2024/3/20

Adaptive Colour-Depth Aware Attention for RGB-D Object Tracking

IEEE Signal Processing Letters

2024/3/13

Spd manifold deep metric learning for image set classification

IEEE Transactions on Neural Networks and Learning Systems

2024/3/12

UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning

International Journal of Computer Vision

2024/2/22

Feature enhancement and coarse-to-fine detection for RGB-D tracking

Pattern Recognition Letters

2024/2/10

Paint-CUT: A Generative Model for Chinese Landscape Painting Based on Shuffle Attentional Residual Block and Edge Enhancement

Applied Sciences

2024/2/9

An automatic music generation method based on RSCLN_Transformer network

Multimedia Systems

2024/2

HFA-GTNet: Hierarchical Fusion Adaptive Graph Transformer network for dance action recognition

Journal of Visual Communication and Image Representation

2024/2/1

Memory Prompt for Spatio-Temporal Transformer Visual Object Tracking

IEEE Transactions on Artificial Intelligence

2024/1/15

Perceiving Actions via Temporal Video Frame Pairs

ACM Transactions on Intelligent Systems and Technology

2024

Robust online hashing with label semantic enhancement for cross-modal retrieval

Pattern Recognition

2024/1/1

Li Li
Li Li

H-Index: 15

Xiao-Jun Wu
Xiao-Jun Wu

H-Index: 36

Scene adaptive mechanism for action recognition

Computer Vision and Image Understanding

2024/1/1

Riemannian Self-Attention Mechanism for SPD Networks

arXiv preprint arXiv:2311.16738

2023/11/28

See List of Professors in Xiao-Jun Wu University(Jiangnan University)

Co-Authors

academic-engine