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      My E-mail Address: 

Wang.Hanzi@gmail.com

Hanzi.Wang@xmu.edu.cn 

 2027年招收计算机系博士和硕士研究生(注:研究方向为计算机视觉): 欢迎优秀的学生联系另外,招收优秀博士后,欢迎优秀学子加盟。                 

 招聘信息: 厦门大学模式分析与机器智能研究中心长期面向海内外诚聘教授/副教授/助理教授数名,欢迎优秀学者加盟。

关于本人 (English Version):                          

王菡子,现任福建省“闽江学者”特聘教授(厦门大学),福建省高层次人才,博士生导师厦门大学模式分析与机器智能研究中心主任,福建省“智慧城市感知与计算”重点实验室副主任,教育部“多媒体可信感知与高效计算”重点实验室副主任2004年获澳大利亚MONASH大学博士学位,并荣获Douglas Lampard最佳博士论文奖。2004至2006年在澳大利亚MONASH大学电子计算机系统工程系工作,任该系研究员(Research Fellow);2006至2008年在美国JOHNS HOPKINS大学计算机科学系工作,先后任该系博士后研究员(Postdoctoral Fellow)和助理研究科学家(Assistant Research Scientist);2008至2010年在澳大利亚Adelaide大学计算机学院工作,任职高级研究员(Senior Research Fellow);2010至2012年在澳大利亚Adelaide大学计算机学院任兼职教授(Adjunct Professor)。2010-2013年分别入选(获得)福建省“闽江学者”特聘教授、厦门市杰出青年科技人才创新计划项目、厦门市重点引进人才和福建省高层次人才;2014年获得厦门大学厦航奖教金(科研类),2018年和2025年两次获得厦门大学萨本栋讲座教授奖教金(全校4名),2022年获得厦门大学曹德旺奖教金,2020-2025年入选斯坦福大学公布的全球前2%终身科学影响力顶尖科学家。主要研究方向:计算机视觉和模式识别,图像和视频处理,视频跟踪与监控,目标检测,目标与人脸识别,多模态融合,小样本学习, 鲁棒统计学和模型拟合等。在国内外重要学术期刊和国际学术会议上已发表论文200余篇,其中,多篇发表在国际顶级期刊IEEE TPAMI(9篇)、IJCV(11篇)和国际权威期刊如IEEE TIP、IEEE TMI、IEEE TCSVT、IEEE TMM等上,以及国际权威会议如ICCV,CVPR,ECCV,NeurIPS,AAAI,ACM MM等上。获得国家发明专利授权40余项。主持科技部科技创新2030“新一代人工智能”重大项目课题、国家自然科学基金联合基金(重点支持)项目(3项)、面上项目(3项)、福厦泉国家自主创新示范区协同创新平台项目、厦门科技计划(未来产业领域)重大项目以及其他省部级项目等十余项。荣获2021年度福建省科技进步奖一等奖、2022年度福建省自然科学优秀学术论文一等奖、2023年国家教学成果二等奖等。培养的研究生中有1名获中国图象图形学会优博论文奖、4名获福建省优秀博士论文、1名获福建省优秀硕士论文;指导的本科生中获得美国约翰霍普金斯大学、南加州大学和佛罗里达大学全额奖学金各1名。毕业的学生分别到 百度、腾讯、阿里、京东、华为、今日头条、滴滴、高德、美团、海康威视、国家电网 等单位工作(部分毕业学生的信息见:这里

现为IEEE高级会员(Senior Member)和中国图象图形学会机器视觉专委会副主任(2018-2024),曾担任国际权威SCI期刊《IEEE Transactions on Circuits and Systems for Video Technology》编委(Associate Editor, 2010-2015)和国际SCI期刊《Pattern Recognition Letters》特邀编辑(Guest Editor-2009年)。担任美国、葡萄牙和中国国家自然科学基金会的会评专家或特邀评审专家。担任国际会议IEEE未来媒体技术2018大会主席和ACM国际会议ICIMCS2014大会主席、国内外会议PRCV2023、CVRS2012程序委员会主席、PRCV2020、PRCV2019、ICPR2018ACCV2016DICTA2010区域主席、VALSE2017 Tutorial主席、ICIG2015IEEE NAS2012宣传主席,以及国际会议ICCV,CVPR,PAKDD,ACCV的程序委员会委员。还担任二十余种国际权威期刊如IEEE TPAMI,IEEE TIP,IEEE TCSVT,IJCV,IEEE T. SMC-B,CVIU,IVC等和二十余种国际权威会议如SIGGRAPH,ICCV, ECCV,CVPR,AAAI,ICIP,ICPR等的特邀审稿人。

For Prospective Researchers and Students
I'm always interested in recruiting talent Researchers, Postdoctors,PhD and Master students - send me an email (Wang.Hanzi@gmail.com or Hanzi.Wang@xmu.edu.cn) and a Resume (in Pdf NOT word format) if you think you have Outstanding Potential, Good Skills at Programming and English, and Strong Motivation in doing research at international level.

最新更新:

  • 2026-Jul: 一篇论文被IJCV接受,恭喜雪婷!
  • 2026-Jul: 两篇论文被ACM MM接受,恭喜怡萱和乐滢!
  • 2026-Jul: 一论文被IEEE TIP接受,恭喜恺云!
  • 2026-Jun: 一篇论文被IEEE TPAMI接受,恭喜文玉!
  • 2026-Mar: 两论文被IEEE TIP接受,恭喜光耀和静凌!
  • 2026-Feb: 一论文被CVPR接受,恭喜汉涛!
  • 2025-Nov: 两论文被AAAI接受,恭喜玉康和洋凯
  • 2025-Sept: 一论文被IEEE TIFS接受,恭喜玉康!
  • 2025-Jul: 四论文被ACM MM接受,恭喜文玉、涵宇、智鸿、赫昭
  • 2025-Jun: 两论文被ICCV接受,恭喜光耀、珊珊
  • 2025-May: 一论文被IEEE TCSVT接受,恭喜思萍!
  • 2025-May: 一论文被IEEE TNNLS接受,恭喜晓琳!
  • 2025-Apr: 一论文被IEEE TIFS接受,恭喜玉康!
  • 2025-Mar: 一论文被IEEE TIP接受,恭喜齐强!
  • 2025-Feb: 一论文被IEEE TIFS接受,恭喜辰洋!
  • 2024-Nov: 一论文被IEEE TIFS接受,恭喜睿康!
  • 2024-Oct: 一论文被IJCV接受,恭喜玉康!
  • 2024-Jul: 一论文被IJCV接受,恭喜齐强!
  • 2024-Jul: 三论文被ACM MM接受,恭喜希颖、文玉、光耀
  • 2024-Mar: 一篇IEEE TCSVT论文被接受,恭喜王晓!
  • 2024-Feb: 一篇IEEE TIP一篇IEEE TMM论文被接受,恭喜源玲!
  • 2024-Jan: 一篇IJCV论文被接受,恭喜舒源!

Archived ...

视频演示:

  • We propose a novel CNN based correlation filter tracker with shepherded instance-aware proposals to automatically estimates the
    target scale in each frame and re-detects the target when distortion happens.(See our ACM MM'18 paper)

研究兴趣:

  • 多模态融合与识别、协同学习等;
  • 小样本学习、对比学习等;
  • 视频跟踪与监控(包括多目标跟踪、目标表观建模等);
  • 视频和图像中的目标检测、视频分割;
  • 视觉大数据分析与深度学习; 
  • 跨模态行人重识别与行人属性识别; 
  • 行为识别与视觉内容理解; 
  • 鲁棒统计学、鲁棒特征提取、模型拟合(包括在高噪声环境下的参数模型拟合)、模型选择;
  • 多体运动估计和运动分割等。
团队成员:(相片2023相片2019相片2017相片2014)

当前团队包括:教授2名,助理教授1名,科研助理1名,博士后1名,博士生6名,硕士生30余名.

部分已毕业的学生.

出版物 (Copyright Statement)

特色期刊论文:

  •  W. Yin, H. Wang, S. Lin, Y. Yan, Y. Lu, D. Suter

Robust Model Fitting via Motion-Aware Pyramid Transformer-Guided Preference Filtering and Consensus Smoothing

‌IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), pages 1-13, 2026.

  •  X. Chen, X. Zou, Y. Yan, X. Gao, H. Wang

VCD-Net: Visual-Textual Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition

International Journal of Computer Vision (IJCV),134:373, 2026.

  •  Y. Zhang, Y. Yan, Y. Lu, H. Wang

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-identification

International Journal of Computer Vision (IJCV), pages 2176-2196, 2025.

  •  Q. Qi, Z. Qiu, Y. Yan, Y. Lu, H. Wang

IMC-Det: Intra-Inter Modality Contrastive Learning for Video Object Detection

International Journal of Computer Vision (IJCV), pages 890-909, 2025.

  •  Y.Zhou, B. Li, H. Hu, X. Zhang, D. Zhang, H. Wang

Heterogeneous Feature Re-Sampling for Balanced Pedestrian Attribute Recognition.

‌IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), pages 2706-2722, 2025.

  •  Y. Zhou, H. Hu, J. Yu, H. Wu, S. Pu, H. Wang

A Solution to Co-occurrence Bias in Pedestrian Attribute Recognition: Theory, Algorithms, and Improvements

International Journal of Computer Vision (IJCV), pages 4712-4726, 2025.

  • S. Lin, F. Huang, T. Lai, J. Lai, H. Wang, J. Weng

Robust Heterogeneous Model Fitting for Multi-source Image Correspondences

International Journal of Computer Vision (IJCV), pages 1-26, 2024.

  • Y. Yan, Y. Shu, S. Chen, J. Xue, C. Shen, H. Wang

SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data

International Journal of Computer Vision (IJCV), Vol 131, No. 8, pages 2097-2121, 2023.

  • D. Ruan, R. Mo, Y. Yan, S. Chen, J. Xue, H. Wang

Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition

International Journal of Computer Vision (IJCV), Vol 130, No. 2, pages 455-477, 2022.

  • G. Xiao, H. Wang, J. Ma, D. Suter.

Segmentation by Continuous Latent Semantic Analysis for Multi-structure Model Fitting.

International Journal of Computer Vision (IJCV), Vol 129, No. 7, pages 2034-2056, 2021.

  • H. Wang, G. Xiao, Y. Yan, and D. Suter

Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol 41, No. 3, pages 697-711, 2019.

  • G. Xiao, H. Wang, Y. Yan, and D. Suter

Superpixel-guided Two-view Deterministic Geometric Model Fitting

International Journal of Computer Vision (IJCV), Vol 127, No. 4, pages 323-339, 2019.

  • X. Li, A. Dick, C. Shen, A. van den Hengel,and H. Wang

Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol 35, No. 64, pages 863 - 881, Apr. 2013.

  • H. Wang, T.-J. Chin, and D. Suter

Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers

IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 34, No. 6, pages 1177 - 1192, June 2012.

  • C. Shen, P. Wang, F. Shen and H. Wang

UBoost: Boosting with the Universum

IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 34, No. 4, pages 825 - 832, June 2012.

  • H. Wang, D. Mirota and G. Hager

A Generalized Kernel Consensus Based Robust Estimator.

IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 32, No. 1, pages 178-184, 2010.

  • K. Schindler, D. Suter and H. Wang

A Model-selection Framework for Multibody Structure-and-Motion of Image Sequences.

International Journal of Computer Vision (IJCV), Vol 79, No. 2, pages 159-177, 2008.

  • H. Wang, D. Suter, K. Schindler and C. Shen

Adaptive Object Tracking Based on an Effective Appearance Filter.

IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 29, No. 9, pages 1661-1667, 2007.

[Featured article from the September issue 2007]

  • H. Wang and D. Suter

Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.

IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol. 26, No.11, pages 1459-1474, 2004.

  • H. Wang and D. Suter

MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation.

International Journal of Computer Vision (IJCV), Vol. 59, No.2, pages 139-166, 2004.

部分期刊论文:

  •  G. Li, S. Zhuang, Y. Jian, Y. Yan, H. Wang

Spatial-Temporal Scene Graph Generation for Open-Vocabulary Multiple Object Tracking

IEEE Transactions on Image Processing (IEEE TIP), Vol 35, pages 3437-3450, 2026.

  •  J. Huang, H. Wang, Q. Wu, J. Li, X. Gao

DPENet: A Dual Prototype-Enhanced Network for Few-Shot Object Detection

IEEE Transactions on Image Processing (IEEE TIP), Vol 35, pages 3633-3646, 2026.

  •  H. Ding, Y. Yan, Y. Lu, J. Xue, H. Wang

Global-Local Disturbance Decoupling for Federated Facial Expression Recognition

IEEE Transactions on Affective Computing (IEEE TAC), Vol 17, No. 2, pages 1985-1998, 2026.

  •  G. Du, H. Wang, X. Xu, Y. Yan, X. Li

TCFF-Adapter: Text-Driven Adaption of CLIP for Few-Shot Image Classification

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 36, No. 2, pages 2332-2343, 2026.

  •  S. Que, H. Guo, K. Du, Y. Yan, Y. Pang, H. Wang

Vision-Language Enhancement Network Based on Decoupling-Joint Adaptation for Few-Shot Action Recognition

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 36, No. 4, pages 4316-4329, 2026.

  •  Q. Qi, H. Wang, Y. Yan, X. Li

DGC-Net: Dynamic Graph Contrastive Network for Video Object Detection

IEEE Transactions on Image Processing (IEEE TIP), Vol 34, pages 2269-2284, 2025.

  •  X. Chen, Y. Yan, J. Xue, C. Shu, H. Wang

Hyperbolic Self-Paced Multi-Expert Network for Cross-Domain Few-Shot Facial Expression Recognition

IEEE Transactions on Image Processing (IEEE TIP), Vol 34, pages 6273-6285, 2025.

  •  Y. Zhang, H. Wang, Y. Lu, Y. Yan, X. Li

Frequency Domain Nuances Mining for Visible-Infrared Person Re-Identification

IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol 20, pages 5411-5424, 2025.

  •  Y. Zhang, X. Fan, Y. Yang, Y. Lu, H. Wang

Image-Attribute and Frequency-Spatial Dual Collaborative Learning for Pedestrian Attribute Recognition

IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol 20, pages 11715-11727, 2025.

  •  X. Chen, Y. Yan, J. Xue, N. Wang, H. Wang

Consistency-driven feature scoring and regularization network for visible-infrared person re-identification

Pattern Recognition (PR), Vol 159, Article 111131, 2025.

  •  H. Ding, Y. Yan, Y. Lu, J. Xue, H. Wang

Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 35, No. 5, pages 4675-4685, 2025.

  •  K. Du, W. Ye, H. Guo, Y. Yan, H. Wang

Edge Guided Network With Motion Enhancement for Few-Shot Action Recognition

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 35, No. 6, pages 5331-5342, 2025.

  •  Y. Liang, L. Xiong, Y. Shan, H. Wang

Learning Multi-Task Target-Specific Correlation Filters for Robust Tracking

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 35, No. 7, pages 6698-6711, 2025.

  •  S. Zhuang, G. Li, Q. Wu, Y. Lu, H. Hu, H. Wang

CGATracker: Correlation-Aware Graph Alignment for Referring Multi-Object Tracking

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 35, No. 11, pages 11337-11349, 2025.

  •  R. Chen, Y. Yan, J. Xue, Y. Lu, H. Wang

Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection Under Noisy Annotations

IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol 20, pages 234-248, 2025.

  •  C. Wang, Y. Yan, J. Xue, H. Wang

I2OL-Net: Intra-Inter Objectness Learning Network for Point-Supervised X-Ray Prohibited Item Detection

IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol 20, pages 3045-3059, 2025.

  •  R. Jiang, Y. Yan, J. Xue, S. Chen, N. Wang, H. Wang

Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol 36, No. 1, pages 939-952, 2025.

  •  Y. Lu, X. Huang, Y. Chen, M. Li, Y. Yan, C. Gong, H. Wang

MOOD: Leveraging Out-of-Distribution Data to Enhance Imbalanced Semi-Supervised Learning

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol 36, No. 10, pages 18545-18557, 2025.

  •  X. Wang, Y. Yan, H. Hu, B. Li, H. Wang

Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition

IEEE Transactions on Image Processing (IEEE TIP), Vol 33, pages 1257-1271, 2024.

  •  X. Fan, Y. Zhang, Y. Lu, H. Wang

PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No. 1, pages 411-423, 2024.

  •  S. Lin, A. Yang, T. Lai, J. Weng, H. Wang

Multi-Motion Segmentation via Co-Attention-Induced Heterogeneous Model Fitting

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No. 3, pages 1786-1798, 2024.

  •  Y. Xu, Y. Yan, J. Xue, Y. Hua, H. Wang

Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No. 7, pages 5693-5703, 2024.

  •  X. Wang, Y. Lu, W. Yu, Y. Pang, H. Wang

Few-Shot Action Recognition via Multi-View Representation Learning

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No. 9, pages 8522-8535, 2024.

  •  H. Guo, G. Xiao, L. Su, T. Li, D. Wang, H. Wang

Second-Order Proximity Guided Sampling Consensus for Robust Model Fitting

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No. 11, pages 10704-10717, 2024.

  •  F. Yang, R. Jiang, Y. Yan, J. Xue, B. Wang, H. Wang

Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection

IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol 19, pages 3510-3524, 2024.

  •  Y. Lv, Y. Yan, J. Xue, S. Chen, H. Wang

Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition

IEEE Transactions on Image Processing (IEEE TIP), Vol 33, pages 2293-2304, 2024.

  •  S. Lin, X. Chen, G. Xiao, H. Wang, F. Huang, J. Weng

Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning

IEEE Transactions on Image Processing (IEEE TIP), Vol 33, pages 3031-3046, 2024.

  •  W. Lu, H. Hu, J. Yu, S. Zhang, H. Wang

Explicit State Representation Guided Video-Based Pedestrian Attribute Recognition

ACM Transactions on Intelligent Systems and Technology (ACM TIST), Vol 15, No. 1, pages 1-24, 2024.

  •  W. Lu, H. Hu, J. Yu, Y. Zhou, H. Wang, B. Li

Orientation-Aware Pedestrian Attribute Recognition Based on Graph Convolution Network

IEEE Transactions on Multimedia (IEEE TMM), Vol 26, pages 28-40, 2024.

  •  Q. Qi, Y. Yan, H. Wang

Class-Aware Dual-Supervised Aggregation Network for Video Object Detection

IEEE Transactions on Multimedia (IEEE TMM), Vol 26, pages 2109-2123, 2024.

  •  Y. Lv, G. Huang, Y. Yan, J. Xue, S. Chen, H. Wang

Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition

IEEE Transactions on Multimedia (IEEE TMM), Vol 26, pages 8038-8051, 2024.

  •  R. Jiang, Y. Yan, J. Xue, B. Wang, H. Wang

When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol 35, No. 2, pages 2208-2222, 2024.

  • X. Wang, W. Ye, Z. Qi, G. Wang, J. Wu, Y. Shan, X. Qie, H. Wang

Task-Aware Dual-Representation Network for Few-Shot Action Recognition

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 33, No. 10, pages 5932-5946, 2023.

  • Q. Qi, T. Hou, Y. Yan, Y. Lu, H. Wang

TCNet: A Novel Triple-Cooperative Network for Video Object Detection

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 33, No. 8, pages 3649-3662, 2023.

  • Q. Qi, T. Hou, Y. Lu, Y. Yan, H. Wang

DGRNet: A Dual-Level Graph Relation Network for Video Object Detection

IEEE Transactions on Image Processing (IEEE TIP), Vol 32, pages 4128-4141, 2023.

  • Y. Yan, Y. Xu, J. Xue, Y. Lu, H. Wang, W. Zhu

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples

IEEE Transactions on Cybernetics (IEEE TCYB), Vol 53, No. 11, pages 7071-7084, 2023.

  • T. Lai, A. Sadri, S. Lin, Z. Li, R. Chen, H. Wang

Efficient Sampling Using Feature Matching and Variable Minimal Structure Size

Pattern Recognition (PR), Vol 137, No. 3, 2023.

  • L. Cheng, P. Fang, Y. Liang, L. Zhang, C. Shen, H. Wang

TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency

IEEE Transactions on Image Processing (IEEE TIP), Vol 31, pages 2529-2540, 2022.

  • H. Guo, Y. Lu, H. Chen, H. Luo, G. Xiao, H. Zhang, H. Wang

Motion Consistency Guided Robust Geometric Model Fitting with Severe Outliers

IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 69, No. 4, pages 4065-4075, 2022.

  • Q. Qi, X. Wang, T. Hou, Y. Yan, H. Wang

FastVOD-Net: A Real-Time and High-Accuracy Video Object Detector

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 23, No. 11, pages 20926-20942, 2022.

  • Y. Liang, Q. Wu, Y. Liu, Y. Yan, H. Wang

Deep Correlation Filter Tracking With Shepherded Instance-Aware Proposals

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 23, No. 8, pages 11408-11421, 2022.

  • S. Lin, H. Luo, Y. Yan, G. Xiao, H. Wang

Co-Clustering on Bipartite Graphs for Robust Model Fitting

IEEE Transactions on Image Processing (IEEE TIP), Vol 31, pages 6605-6620, 2022.

  • X. Weng, Y. Yan, G. Dong, C. Shu, B. Wang, H. Wang, J. Zhang

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 23, No. 10, pages 17224-17240, 2022.

  • X. Weng, Y. Yan, S. Chen, J. Xue, H. Wang

Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 32, No. 7, pages 4444-4459, 2022.

  • X. Zhang, Y. Yan, J. Xue, Y. Hua, H. Wang

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 31, No. 7, pages 2764-2778, 2021.

  • B. Pan, L. Zhang, H. Wang

Multi-Stage Feature Pyramid Stereo Network-Based Disparity Estimation Approach for Two to Three-Dimensional Video Conversion

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 31, No. 5, pages 1862-1875, 2021.

  • Y. Liang, Y. Liu, Y. Yan, L. Zhang, H. Wang

Robust Visual Tracking via Spatio-temporal Adaptive and Channel Selective Correlation Filters

Pattern Recognition (PR), Vol 112, 2021.

  • S. Lin, X. Wang, G. Xiao, Y. Yan, H. Wang

Hierarchical Representation Via Message Propagation for Robust Model Fitting

IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 68, No. 9, pages 8582-8592, 2021.

  • Y. Liu, L. Zhang, Z. Chen, Y. Yan, H. Wang

Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 22, No. 11, pages 7279-7292, 2021.

  • G. Dong, Y. Yan, C. Shen, H. Wang

Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 22, No. 6, pages 3258-3274, 2021.

  • L. Mao, Y. Yan, J. Xue, H. Wang

Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification

IEEE Transactions on Affective Computing (IEEE TAC), Vol 13, No. 2, pages 818-828, 2020.

  • Q. Wu, H. Wang, Y. Liu, L. Zhang, X. Gao

SAT: Single-Shot Adversarial Tracker

IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 67, No. 11, pages 9882-9892, 2020.

  • G. Guo, H. Wang, Y. Yan, L. Zhang, B. Li

Large Margin Deep Embedding for Aesthetic Image Classification

Science China Information Sciences (SCIS), Vol 63, No. 1, 2020.

  • Y. Yan, Y. Huang, S. Chen, C. Shen, H. Wang

Joint Deep Learning of Facial Expression Synthesis and Recognition

IEEE Transactions on Multimedia (IEEE TMM), Vol 22, No. 11, pages 2792-2807, 2020.

  • T. Lai, R. Chen, C. Yang, Q. Li, H. Fujita, A. Sadri, H. Wang

Efficient Robust Model Fitting for Multistructure Data Using Global Greedy Search

IEEE Transactions on Cybernetics (IEEE TCYB), Vol 50, No. 7, pages 3294-3306, 2020.

  • T. Lai, H. Wang, Y. Yan, TJ. Chin, J. Zheng, B. Li

Accelerated Guided Sampling for Multistructure Model Fitting

IEEE Transactions on Cybernetics (IEEE TCYB), Vol 50, No. 10, pages 4530-4543, 2020.

  • J. Zheng, Y. Wang, H. Wang, B. Li, H. Hu

A Novel Projective-Consistent Plane Based Image Stitching Method

IEEE Transactions on Multimedia (IEEE TMM), Vol 21, No. 10, pages 2561-2575, 2019.

  • H. Hu, Q. Guo, J. Zheng, H. Wang, B. Li

Single Image Defogging Based on Illumination Decomposition for Visual Maritime Surveillance

IEEE Transactions on Image Processing (IEEE TIP), Vol 28, No. 6, pages 2882-2897, 2019.

  • G. Guo, H. Wang, C. Shen, Y. Yan, H. Liao

Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression

IEEE Transactions on Multimedia (IEEE TMM), Vol 20, No. 8, pages 2073-2085, 2018.

  • G. Guo, H. Wang, W. Zhao, Y. Yan, X. Li

Object Discovery via Cohesion Measurement

IEEE Transactions on Cybernetics (IEEE TCYB), Vol 48, No. 3, pages 862-875, 2018.

  • Z. Zhang, F. Xing, H. Wang, Y. Yan, Y. Huang, X. Shi, L. Yang

Revisiting Graph Construction for Fast Image Segmentation

Pattern Recognition (PR), Vol 78, pages 344-357, 2018.

  • N. Zhuang, Y. Yan, S. Chen, H. Wang, C. Shen

Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification

Pattern Recognition (PR), Vol 80, pages 225-240, 2018.

  • J. Wang, Y. Wang, H. Wang

Adaptive Appearance Modeling with Point-to-Set Metric Learning for Visual Tracking

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 27, No. 9, pages 1987-2000, 2017.

  • Q. Li, H. Wang, Y. Yan, B. Li, C. Chen

Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 18, No. 6, pages 1549-1558, 2017.

  • T. Lai, H. Wang, Y. Yan, TJ. Chin, W. Zhao

Motion Segmentation Via a Sparsity Constraint

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 18, No. 4, pages 973-983, 2017.

  • Y. Yan, H. Wang, S. Chen, X. Cao, D. Zhang

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

Pattern Recognition (PR), Vol 56, pages 40-49, 2016.

  • G. Xiao, H. Wang, T. Lai, D. Suter

Hypergraph Modelling For Geometric Model Fitting

Pattern Recognition (PR), Vol 60, pages 748-760, 2016.

  • W. Zhao, C. Ngo, H. Wang

Fast Covariant VLAD for Image Search

IEEE Transactions on Multimedia (IEEE TMM), Vol 18, No. 9, pages 1843-1854, 2016.

  • Q. Li, Y. Yan, H. Wang

Discriminative Weighted Sparse Partial Least Squares for Human Detection

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 17, No. 4, pages 1062-1071, 2016.

  • Y. Xie, W. Zhang, D. Tao, W. Hu, Y. Qu, H. Wang

Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression

IEEE Transactions on Image Processing (IEEE TIP), Vol 25, No. 10, pages 4943-4958, 2016.

  • Y. Yan, H. Wang, D. Suter

Multi-subregion Based Correlation Filter Bank for Robust Face Recognition

Pattern Recognition (PR), Vol 47, No. 11, pages 3487-3501, 2014.

  • Y. Yan, C. Shen, H. Wang

Efficient Semidefinite Spectral Clustering via Lagrange Duality

IEEE Transactions on Image Processing (IEEE TIP), Vol 23, No. 8, pages 3522-3534, 2014.

  • X. Li, A. Dick, C. Shen, Z. Zhang, A. van den Hengel, H. Wang

Visual Tracking with Spatio-temporal Dempster-shafer Information Fusion

IEEE Transactions on Image Processing (IEEE TIP), Vol 22, No. 8, pages 3028-3040, 2013.

  • DJ. Mirota, H. Wang, RH. Taylor, M. Ishii, GL. Gallia, GD. Hager

A System for Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery

IEEE Transactions on Medical Imaging (IEEE TMI), Vol 31, No. 4, pages 963-976, 2012.

  • C. Shen, J. Kim, H. Wang

Generalized Kernel-based Visual Tracking

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 20, No. 1, pages 119-130, 2010.

  • H. Wang, D. Suter

A Consensus-based Method for Tracking: Modelling Background Scenario and Foreground Appearance

Pattern Recognition (PR), Vol 40, No. 3, pages 1091-1105, 2007.

部分会议论文:

  •  L. Jiang, X. Li, Y. Yan, J. Xue, K. Dai, H. Wang

Adaptive Semantic Topological Alignment for Class-Incremental Facial Expression Recognition

The ACM International Conference on Multimedia (ACM MM), Rio de Janeiro, Brazil, November 10-14, 2026

  •  Y. Wang, Y. Zhang, J. Gao, H. Wang

LLM-Guided Attribute Attention for Unsupervised Visible-Infrared Person Re-Identification

The ACM International Conference on Multimedia (ACM MM), Rio de Janeiro, Brazil, November 10-14, 2026

  •  H. Qi, Y. Yan, J. Gao, H. Wang

Protect to Adapt: Orthogonal Subspace Control with Ranked Negative-Prompt Curriculum for Few-Shot Action Recognition

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Pages 20160-20169, Denver, Colorado, USA, June 3-7, 2026

  •  Y. Chen, Q. Wu, G. Li, J. Gao, G. Niu, H. Wang

SAM2-OV: A Novel Detection-Only Tuning Paradigm for Open-Vocabulary Multi-Object Tracking

The AAAI Conference on Artificial Intelligence (AAAI), Vol 40, Pages 3083-3091, Singapore, January 20-27, 2026

  •  Y. Zhang, L. Tan, Y. Lu, Y. Yan, H. Wang

Joint Implicit and Explicit Language Learning for Pedestrian Attribute Recognition

The AAAI Conference on Artificial Intelligence (AAAI), Vol 40, Pages 12970-12978, Singapore, January 20-27, 2026

  •  H. Liu, Y. Lu, M. Li, Y. Zhang, S. Gowda, C. Gong, H. Wang

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data

The ACM International Conference on Multimedia (ACM MM), Pages 3153-3162, Dublin, Ireland, October 27-31, 2025

  •  Z. Zheng, Y. Cao, J. Gao, H. Wang

OV-VOD: Open-Vocabulary Video Object Detection

The ACM International Conference on Multimedia (ACM MM), Pages 489-498, Dublin, Ireland, October 27-31, 2025

  •  H. Guo, S. Que, J. Gao, H. Wang

TFPA: Text Features Guided Dynamic Parameter Adjustment for Few Shot Action Recognition

The ACM International Conference on Multimedia (ACM MM), Pages 402-411, Dublin, Ireland, October 27-31, 2025

  •  W. Yin, S. Lin, D. Suter, H. Wang

Adaptive Graph Attention-Guided Parallel Sampling and Embedded Selection for Multi-Model Fitting

The ACM International Conference on Multimedia (ACM MM), Pages 10896-10904, Dublin, Ireland, October 27-31, 2025

  •  G. Li, S. Zhuang, Y. Jian, Y. Yan, H. Wang

Language Decoupling with Fine-Grained Knowledge Guidance for Referring Multi-Object Tracking

IEEE International Conference on Computer Vision (ICCV), Pages 23626-23635, Honolulu, Hawaii, USA, October 19-23, 2025

  •  S. Yan, Z. Li, C. Wu, M. Pang, Y. Lu, Y. Yan, H. Wang

You Are Your Own Best Teacher: Achieving Centralized-Level Performance in Federated Learning Under Heterogeneous and Long-Tailed Data

IEEE International Conference on Computer Vision (ICCV), Pages 2750-2759, Honolulu, Hawaii, USA, October 19-23, 2025

  •  Y. Liu, X. Shang, Y. Zhang, Y. Lu, C. Gong, J. Xue, H. Wang

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Pages 10173-10182, Nashville, Tennessee, USA, June 11-15, 2025

  •  X. Zheng, Y. Zhang, Y. Lu, H. Wang

Semi-Supervised Visible-Infrared Person Re-Identification via Modality Unification and Confidence Guidance

The ACM International Conference on Multimedia (ACM MM), Pages 5761-5770, Melbourne, Australia, October 28-November 1, 2024

  •  G. Li, Y. Jian, Y. Yan, H. Wang

GLATrack: Global and Local Awareness for Open-Vocabulary Multiple Object Tracking

The ACM International Conference on Multimedia (ACM MM), Pages 2457-2466, Melbourne, Australia, October 28-November 1, 2024

  •  W. Yin, S. Lin, Y. Lu, H. Wang

Diverse Consensuses Paired with Motion Estimation-Based Multi-Model Fitting

The ACM International Conference on Multimedia (ACM MM), Pages 9281-9290, Melbourne, Australia, October 28-November 1, 2024

  •  Y. Lu, L. Chen, Y. Zhang, Y. Zhang, B. Han, Y. Cheung, H. Wang

Federated Learning with Extremely Noisy Clients via Negative Distillation

The AAAI Conference on Artificial Intelligence (AAAI), Vol 38, Pages 14184-14192, Vancouver, Canada, February 20-27, 2024

  •  Z. Zhang, Y. Yan, J. Xue, H. Wang

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

The AAAI Conference on Artificial Intelligence (AAAI), Vol 38, Pages 7432-7440, Vancouver, Canada, February 20-27, 2024

  • Y. Lu, Y. Zhang, B. Han, Y. Cheung, H. Wang

Label-Noise Learning with Intrinsically Long-Tailed Data

IEEE International Conference on Computer Vision (ICCV), Pages 1369-1378, Paris, France, October 1-6, 2023

  • Y. Zhang, H. Wang

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Pages 2153-2162, Vancouver, Canada, June 18-22, 2023

  • Y. Jin, M. Li, Y. Lu, Y. Cheung, H. Wang

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Pages 23695-23704, Vancouver, Canada, June 18-22, 2023

  • Y. Zhang, Y. Yan, J. Li, H. Wang

MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-Identification

The AAAI Conference on Artificial Intelligence (AAAI), Vol 37, Pages 3498-3506, Washington, DC, USA, February 7-14, 2023

  • X. Zou, Y. Yan, J. Xue, S. Chen, H. Wang

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition

European Conference on Computer Vision (ECCV), Pages 683-700, Tel-Aviv, Israel, October 23-27, 2022

  • X. Shang, Y. Lu, G. Huang, H. Wang

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

International Joint Conference on Artificial Intelligence (IJCAI), Pages 2218-2224, Vienna, Austria, July 23-29, 2022

  • X. Zou, Y. Yan, J. Xue, S. Chen, H. Wang

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
The AAAI Conference on Artificial Intelligence (AAAI), Vol 36, Pages 5367-5375, Virtual Event, February 22-March 1, 2022

  • R. Mo, Y. Yan, J. Xue, S. Chen, and H. Wang

D³Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition

The ACM International Conference on Multimedia (ACM MM), Pages 779-787, Virtual Event, China, October 20-24, 2021

  • X. Wang, W. Ye, Z. Qi, X. Zhao, G. Wang, Y. Shan and H. Wang

Semantic-Guided Relation Propagation Network for Few-Shot Action Recognition
The ACM International Conference on Multimedia (ACM MM), Pages 816-825, Virtual Event, China, October 20-24, 2021

  • Y. Zhang, Y. Yan, Y. Lu and H. Wang

Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification

The ACM International Conference on Multimedia (ACM MM), Pages 788-796, Virtual Event, China, October 20-24, 2021

  • D. Ruan, Y. Yan, S. Lai, Z. Chai, C. Shen and H. Wang

Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Pages 7660-7669, Virtual Event, June 19-25, 2021

  • Y. Shu, Y. Yan, S. Chen, J. Xue, C. Shen and H. Wang

Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Pages 11916-11925, Virtual Event, June 19-25, 2021

  • D. Ruan, Y. Yan, S. Chen, J. Xue and H. Wang

Deep Disturbance-Disentangled Learning for Facial Expression Recognition

The ACM International Conference on Multimedia (ACM MM), Pages 2833-2841, Seattle, United States, October 12-16, 2020.

  • L. Lin, H. Chen, H. Zhang, J. Liang, Y. Li, Y. Shan, and H. Wang

Dual Semantic Fusion Network for Video Object Detection

The ACM International Conference on Multimedia (ACM MM), Pages 1855-1863, Seattle, United States, October 12-16, 2020.

  • H. Chen, D. Suter, Q. Wu and H. Wang

End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking

The AAAI Conference on Artificial Intelligence (AAAI), Vol 34, Pages 10534-10541, New York, USA, February 7-12, 2020

  • H. Chen, Q. Wu, Y. Liang, X. Gao and H. Wang

Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-Based Object Tracking

The ACM International Conference on Multimedia (ACM MM), Pages 473-481, Nice, France, October 21-25, 2019

  • S. Lin, G. Xiao, Y. Yan, D. Suter and H. Wang

Hypergraph Optimization for Multi-Structural Geometric Model Fitting
The AAAI Conference on Artificial Intelligence (AAAI), Vol 33, Pages 8730-8737, Honolulu, Hawaii, USA, January 27-February 1, 2019

  • Y. Liang, Q. Wu, Y. Liu, Y. Yan and H. Wang

Robust Correlation Filter Tracking with Shepherded Instance-Aware Proposals
The ACM International Conference on Multimedia (ACM MM), Pages 420-428, Seoul, Korea, October 22-26, 2018

  • G. Xiao, H. Wang, Y. Yan and D. Suter

Superpixel-Based Two-View Deterministic Fitting for Multiple-Structure Data
European Conference on Computer Vision (ECCV), Pages 517-533, Amsterdam, Netherlands,October 8-16, 2016

  • H. Wang, G. Xiao, Y. Yan and D. Suter

Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
IEEE International Conference on Computer Vision (ICCV), Pages 2902-2910, Santiago, Chile, December 13-16, 2015

  • X. Li, A. Dick, H. Wang, C. Shen and A. Hengel

Graph Mode-Based Contextual Kernels for Robust SVM Tracking
IEEE International Conference on Computer Vision (ICCV), Pages 1156-1163, Barcelona, Spain, November 6-13, 2011

  • T. Chin, D. Suter, and H. Wang

Multi-Structure Model Selection via Kernel Optimisation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 3586-3593, San Francisco, CA, USA, June 13-18, 2010.

  • T. Chin, H. Wang and D. Suter

The Ordered Residual Kernel for Robust Motion Subspace Clustering

Advances in Neural Information Processing Systems (NIPS), Pages 333-341, Vancouver, British Columbia, Canada, December 7-10, 2009

  • T. Chin, H. Wang and D. Suter

Robust Fitting of Multiple Structures: The Statistical Learning Approach

IEEE International Conference on Computer Vision (ICCV), Pages 413-420, Kyoto, Japan, September 29-October 2, 2009

  • H. Wang, D. Mirota, M. Ishii and G. Hager

Robust Motion Estimation and Structure Recovery from Endoscopic Image Sequences with an Adaptive Scale Kernel Consensus Estimator

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 1-7, Anchorage, Alaska, USA, June 23-28, 2008

  • H. Wang, D. Suter and K. Schindler

Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking

Lecture Notes in Computer Science, European Conference on Computer Vision (ECCV), Graz, Austria, Vol 3953, Pages 606-618, May 7-13, 2006.

  • K. Schindler, J. U, and H. Wang

Perspective n-View Multibody Structure-and-Motion Through Model Selection

Lecture Notes in Computer Science, European Conference on Computer Vision (ECCV), Graz, Austria, Vol 3951, Pages 606-619, May 7-13, 2006.

  • H. Wang and D. Suter

Robust Fitting by Adaptive-Scale Residual Consensus

Lecture Notes in Computer Science, European Conference on Computer Vision (ECCV), Prague, Czech Republic, Vol 3023, Pages 107-118, May 11-14, 2004.

  • H. Wang and D. Suter

Variable Bandwidth QMDPE and Its Application in Robust Optical Flow Estimation

IEEE International Conference on Computer Vision (ICCV), Vol 1, Pages 178-183, Nice, France, October 13-16, 2003

国家专利:

图书章节:

博士论文:
  • H. Wang

  • Robust Statistics for Computer Vision: Model Fitting, Image Segmentation and Visual Analysis.
    Ph.D. Thesis, Monash University, Department of Electrical and Computer Systems Engineering, 2004.
    Douglas Lampard Electrical Engineering Research Prize and Medal
    (pdf), (abstract)
    其他出版物:

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    School of Informatics
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    Email: Hanzi.Wang@xmu.edu.cn; Hanzi.Wang@ieee.org

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