Xue-Feng Zhu 朱学峰
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Xue-Feng Zhu

School of Artificial Intelligence and Computer Science, Jiangnan University

I am currently a Lecturer with the School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China. I received my Ph.D. degree from Jiangnan University in 2024 under the supervision of Prof. Xiao-Jun Wu and Prof. Josef Kittler. I was a visiting student at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, United Kingdom, from 2022 to 2023. My research interests include computer vision and pattern recognition, e.g., visual object tracking, and multi-modal learning.

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Email: xuefeng.zhu@jiangnan.edu.cn

Research Output

Publications

2026

MICTracker: Modality Informativeness Controlled Multi-modal Fusion for Adaptive RGB-D Visual Tracking

Xue-Feng Zhu, Tianyang Xu, Yifan Pan, Xiao-Jun Wu, Josef Kittler

International Journal of Computer Vision, 2026

Paper

Adaptive Continual Learning for Online Visual Object Tracking via Dynamic Grassmannian Appearance Modelling

Jinglin Zhou, Tianyang Xu, Xue-Feng Zhu, Xiao-Jun Wu, Josef Kittler

IEEE Transactions on Circuits and Systems for Video Technology, 2026

Paper Code
2025

Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm

Xue-Feng Zhu, Tianyang Xu, Yifan Pan, Jinjie Gu, Xi Li, Jiwen Lu, Xiao-Jun Wu, Josef Kittler

Advances in Neural Information Processing Systems 38 (NeurIPS 2025)

Paper Code Project Bibtex

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

Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu, Xue-Feng Zhu, Chunyang Cheng, Zhenhua Feng, Josef Kittler

IEEE Transactions on Image Processing, 2025

Paper Code

Serial Over Parallel: Learning Continual Unification for Multi-Modal Visual Object Tracking and Benchmarking

Zhangyong Tang, Tianyang Xu, Xue-Feng Zhu, Chunyang Cheng, Tao Zhou, Xiaojun Wu, Josef Kittler

Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025

Paper Code

SPD-Updater: Symmetric Positive Definite Manifold Geometry Based Temporal Updating for Visual Object Tracking

Jinglin Zhou, Tianyang Xu, Xue-Feng Zhu, Xiao-Jun Wu, Josef Kittler

Neural Networks, 2025

Paper

Learning Adaptive Detection and Tracking Collaborations with Augmented UAV Synthesis for Accurate Anti-UAV System

Shihan Liu, Tianyang Xu, Xue-Feng Zhu, Xiao-Jun Wu, Josef Kittler

Expert Systems with Applications, 2025

Paper Code
2024

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

Xue-Feng Zhu, Tianyang Xu, Zongtao Liu, Zhangyong Tang, Xiao-Jun Wu & Josef Kittler

International Journal of Computer Vision, 2024

Paper Code

Self-Supervised Learning for RGB-D Object Tracking

Xue-Feng Zhu, Tianyang Xu, Sara Atito, Muhammad Awais, Xiao-Jun Wu, Zhenhua Feng, Josef Kittler

Pattern Recognition, 2024

Paper

Learning Feature Restoration Transformer for Robust Dehazing Visual Object Tracking

Tianyang Xu, Yifan Pan, Zhenhua Feng, Xue-Feng Zhu, Chunyang Cheng, Xiao-Jun Wu, Josef Kittler

International Journal of Computer Vision, 2024

Paper

Learning Adaptive Spatio-Temporal Inference Transformer for Coarse-to-Fine Animal Visual Tracking: Algorithm and Benchmark

Tianyang Xu, Ze Kang, Xue-Feng Zhu, Xiao-Jun Wu

International Journal of Computer Vision, 2024

Paper Code

Towards Accurate Unsupervised Video Captioning with Implicit Visual Feature Injection and Explicit

Yunjie Zhang, Tianyang Xu, Xiaoning Song, Xue-Feng Zhu, Zhenghua Feng, Xiao-Jun Wu

International Journal of Computer Vision, 2024

Paper

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Zhangyong Tang, Tianyang Xu, Xiaojun Wu, Xue-Feng Zhu, Josef Kittler

AAAI Conference on Artificial Intelligence (AAAI), 2024

Paper Code

Memory Prompt for Spatiotemporal Transformer Visual Object Tracking

Tianyang Xu, Xiao-Jun Wu, Xue-Feng Zhu, Josef Kittler

IEEE Transactions on Artificial Intelligence, 2024

Paper
2023

RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking

Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Oral, 2023

Paper Code

Learning Spatio-Temporal Discriminative Model for Affine Subspace Based Visual Object Tracking

Tianyang Xu, Xue-Feng Zhu, Xiao-Jun Wu

Visual Intelligence, 2023

Paper

Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking

Zhangyong Tang, Tianyang Xu, Hui Li, Xiao-Jun Wu, Xue-Feng Zhu, Josef Kittler

Information Fusion, 2023

Paper Code
2022

Robust Visual Object Tracking via Adaptive Attribute-Aware Discriminative Correlation Filters

Xue-Feng Zhu, Xiao-Jun Wu, Tianyang Xu, Zhen-Hua Feng, Josef Kittler

IEEE Transactions on Multimedia, 2022

Paper Code
2021

Complementary Discriminative Correlation Filters Based on Collaborative Representation for Visual Object Tracking

Xue-Feng Zhu, Xiao-Jun Wu, Tianyang Xu, Zhen-Hua Feng, Josef Kittler

IEEE Transactions on Circuits and Systems for Video Technology, 2021

Paper

Adaptive Feature Fusion for Visual Object Tracking

Shaochuan Zhao, Tianyang Xu, Xiao-Jun Wu, Xue-Feng Zhu

Pattern Recognition, 2021

Paper

Recognition

Honors & Awards

2026

1st-Place Award, Visual Object Tracking and Segmentation Challenge (ECCV 2026) VOTSr2026-referring segmentation

2026

1st-Place Award, URVIS 2026 Modality-Missing RGBT Tracking Challenge (CVPR 2026)

2025

3rd-Place Award, Visual Object Tracking and Segmentation Challenge (ICCV 2025)

2023

2nd-Place Award, Perception Test Challenge - Point Tracking (ICCV 2023)

2023

Most Novel Submission, Perception Test Challenge (ICCV 2023)

2022

2nd-Place Award, VOT-D2022 Challenge (ECCV2022)

2021

3rd-Place Award, Anti-UAV2021 Challenge (CVPR 2021)

2020

1st-Place Award, VOT-RGBT2020 Challenge (ECCV 2020)

Background

Education & Experience

Education

2017–2024

M.S. / Ph.D.

Jiangnan University, Wuxi, 214122, China

Supervisor: Prof. Xiao-Jun Wu and Prof. Josef Kittler.
I was a visiting PhD student at the CVSSP, University of Surrey, Guildford, U.K. from 2022 to 2023.

Research Experience

2024–Present

Lecturer

School of Artificial Intelligence and Computer Science, Jiangnan Unversity

Laboratory: Josef Kittler Institute of Artificial Intelligence; MOST China–UK Joint Laboratory of Artificial Intelligence; MOE Joint International Research Laboratory of Artificial Intelligence

Get in Touch

Contact

I am open to research collaboration and academic discussion related to my research interests.

Email
xuefeng.zhu@jiangnan.edu.cn

Address
No.1800 Lihu Avenue, Wuxi, 214122, China

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