English Version

      My E-mail Address: 

Wang.Hanzi@gmail.com

Hanzi.Wang@xmu.edu.cn 

New 2020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):  2020博士生1-2名(注:今年厦大信院实行申请制), 硕士生4-6名;另外,招收博士后和海外博士生数名,欢迎优秀学子加盟。                

New  招聘信息: 厦门大学计算机科学系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

New  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,现任厦门大学计算机科学系主任,福建省“闽江学者”特聘教授(厦门大学),福建省“百人计划”,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; 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“百人计划”;2014年获得厦门大学厦航奖教金(科研类),2018年获得厦门大学萨本栋讲座教授奖教金。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,鲁棒统计学和模型拟合,目标检测,目标与人脸识别,运动估计与分割,光流计算,多视几何学,三维重构等。在国内外重要学术期刊和国际学术会议上已发表论文100余篇,其中,多篇发表在国际顶级期刊IEEE TPAMI(7篇)、IJCV(3篇)和国际权威期刊如IEEE TIP、IEEE TMI、IEEE TCSVT、IEEE TMM、IEEE T-ITS、PR等上,以及国际权威会议如ICCV,ECCV,CVPR,NIPS,AAAI,MICCAI等上。被SCI收录50余篇,EI收录100多篇。获得国家发明专利授权20余项。主持国家自然科学基金联合基金(重点支持)项目、面上项目以及省部级项目等十余项。培养的研究生中有3名获福建省优秀博士论文、1名获中国图象图形学会优博论文奖;指导的本科生中获得美国约翰霍普金斯大学和佛罗里达大学全额奖学金各1名。

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,厦门市计算机学会副理事长,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、国际会议CVRS2012程序委员会主席、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,ICIG, ADMA,CISP,CW和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.

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团队成员:(相片2019相片2017相片2014)

当前团队包括副教授2名,博士后1名,博士生10名,硕士生十余名.

部分已毕业的学生.

出版物 (Copyright Statement)

特色期刊论文:

  • New 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.
(pdf)
(Early version appeared in ICCV'15)

  • New 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.
(pdf)
(Early version appeared in ECCV'16)

  • 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 Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol 34, No. 6, pages 1177 - 1192, June 2012.
(pdf) (Partial data and ground truth are available: here)
  • C. Shen, P. Wang, F. Shen and H. Wang
UBoost: Boosting with the Universum
IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol 34, No. 4, pages 825 - 832, June 2012.
(pdf)
  • H. Wang, D. Mirota and G. Hager

  • A Generalized Kernel Consensus Based Robust Estimator.
    IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol 32, No. 1, pages 178 - 184, 2010.
    (pdf)
  • 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.
    (pdf)
  • H. Wang, David Suter, Konrad Schindler and Chunhua Shen

  • Adaptive Object Tracking Based on an Effective Appearance Filter.
    IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol 29, No. 9, pages 1661 - 1667, 2007.
    [Featured article from the September issue 2007]
    (Early version appeared in ECCV'06)
    (pdf)
  • H. Wang and D. Suter

  • Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.
    IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 26, No.11, pages 1459 - 1474, 2004.
    (pdf), (abstract)
     
  • 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.
    (pdf), (abstract)

期刊论文:

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

SAT: Single-shot Adversarial Tracker.
IEEE Transactions on Industrial Electronics (IEEE TIE), Accepted, 2019.
(pdf)

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

Joint Deep Learning of Facial Expression Synthesis and Recognition.
IEEE Transactions on Multimedia (IEEE TMM), Accepted, 2019.
(pdf)

  • New L. Mao, Y. Yan, Y. Huang, J. Xue and H. Wang

Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification.
IEEE Transactions on Affective Computing (IEEE TMM), Accepted, 2019.
(pdf)

  • New Y. Yan, Z. Zhang, S. Chen and H. Wang

Low-resolution Facial Expression Recognition: A Filter Learning Perspective.
Signal Processing (SP), Vol.169, 2020.
(pdf)

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

Large Margin Deep Embedding for Aesthetic Image Classification.
Science China-Information Sceinces, Vol.63, No.1, 2020.
(pdf)

  • New J. Zheng, Y. Wang, H. Wang, B. Li and 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.

  • New L. Zhang, Y. Yan, L. Cheng and H. Wang

Learning Object Scale With Click Supervision for Object Detection.
IEEE Signal Processing Letters (IEEE SPL), Vol.26, No.11, pages 1618 - 1622, 2019.
(pdf)

  • New T. Lai, R. Chen, Q. Li, H. Fujita, A. Sadri and H. Wang

Efficient Robust Model Fitting for Multi-Structure Data Using Global Greedy Search.
IEEE Transactions on Cybernetics (IEEE T-Cyber), accepted, 2019.

  • New H. Hu, Q. Guo, J. Zheng, H. Wang and 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.

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

Accelerated Guided Sampling for Multi-Structure Model Fitting.
IEEE Transactions on Cybernetics (IEEE T-Cyber), accepted, 2018.
(pdf)

  • New N. Zhuang, Y. Yan, H. Wang and C. Shen

Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification.
Pattern Recognition (PR),Vol. 80, pages 225-240, 2018.

  • New G. Guo,H. Wang,C. Shen, Y. Yan and H.M. 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.
(pdf)

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

Object Discovery via Cohesion Measurement.
IEEE Transactions on Cybernetics (IEEE T-Cyber), Vol. 48, No.3, pages 862 - 875, 2018.
(pdf)

  • New 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.
(pdf)

  • New G. Xiao, H. Wang, Y. Yan and L. Zhang

Robust Geometric Model Fitting Based on Iterative Hypergraph Construction and Partition.
Neurocomputing (Elsevier),accepted, 2018.
(pdf)

  • New G. Xiao, X. Zhou, Y. Yan and H. Wang

A Two-Step Hypergraph Reduction based Fitting Method for Unbalanced Data.
Pattern Recognition Letters (PRL),accepted, 2018.
(pdf)

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

Large Margin Deep Embedding for Aesthetic Image Classification.
Science China: Information Sciences (letter),accepted, 2018.
(pdf)

  • New G. Xiao, X. Wang, H. Luo, J. Zheng, B. Li, Y. Yan and H. Wang

Conceptual space based model fitting for multi-structure data.
Neurocomputing (Elsevier), Vol 315, pages 115 - 127, 2018.
(pdf)

  • New Y. Huang, Y. Yan, S. Chen and H. Wang

Expression-Targeted Feature Learning for Effective Facial Expression Recognition.
Journal of Visual Communication and Image Representation (JVCI), Vol 55, pages 677 - 687, 2018.
(pdf)

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

Local Co-occurrence Selection via Partial Least Squares for Pedestrian Detection.
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Vol 18, No. 6, pages 1549 - 1558, 2017.
(pdf)

  • 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.
(pdf)

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

Motion Segmentation via a Sparsity Constraint.
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Vol 18, No. 4, pages 973 - 983, 2017.
(pdf)

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

Efficient Guided Hypothesis Generation for Multi-structure Epipolar Geometry Estimation.
Computer Vision and Image Understanding (CVIU), Vol 154, pages 152 - 165, 2017.
(pdf)

  • T. Lai,H. Wang,Y. Yan and L. Zhang

A Unified Hypothesis Generation Framework for Multi-structure Model Fitting.
Neurocomputing  (Elsevier), Vol 222, pages 144 - 154, 2017.

  • W. Zhao,C. Ngo and H. Wang

Fast Covariant VLAD for Image Search.
IEEE Transactions on Multimedia (IEEE TMM), Vol 18, No. 9, pages 1843 - 1854, 2016.
(pdf)

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

Removing Turbulence Effect via Hybrid Total Variation and Deformation-guided Kernel Regression.
IEEE Transactions on Image Processing (TIP), Vol 25, No. 10, pages 4943 - 4958, 2016.

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

Hypergraph modelling for geometric model fitting.
Pattern Recognition (PR),Vol 60, pages 748 - 760, 2016.
(pdf)

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

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition.
Pattern Recognition (PR),Vol 56, pages 40 - 49, 2016.
(pdf)

  • Q. Li,Y. Yan and H. Wang

Discriminative Weighted Sparse Partial Least Squares for Human Detection.
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Vol 17, No. 4, pages 1062 - 1071, 2016.
(pdf)

  • Z. Chen,H. Wang,L. Zhang,Y. Yan and H-Y M. Liao

Visual Saliency Detection Based on Homology Similarity and An Experimental Evaluation.
Journal of Visual Communication and Image Representation (JVCI), Vol 40, pages 251 - 264, 2016.
(pdf)

  • G. Xiao,H. Wang,Y. Yan and L. Zhang

Mode Seeking on Graphs for Geometric Model Fitting via Preference Analysis.
Pattern Recognition Letters (PRL), Vol 83, pages 294 - 302, 2016.

  • T. Lai,H. Wang,Y. Yan,D. Wang and G. Xiao

Rapid Hypothesis Generation by Combining Residual Sorting with Local Constraints.
Multimedia Tools and Applications, (MTA), Vol 75, No. 12, pages 7445 - 7464, 2016.

  • J. Tang, H. Wang, and Y. Yan

Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection.
Neurocomputing  (Elsevier), Vol 152, pages 236 - 249, 2015.
(pdf)

  • J. Wang,H. Wang and W. Zhao

Affine Hull Based Target Representation for Visual Tracking.
Journal of Visual Communication and Image Representation (JVCI), Vol 30, pages 266 - 276, 2015.
(pdf)

  • J. Wang, H. Wang, and Y. Yan
Robust Visual Tracking by Metric Learning with Weighted Histogram Representations.
Neurocomputing  (Elsevier), Vol 153, pages 77-88, 2015.
  • Y. Yan, C. Shen and H. Wang

Efficient Semidefinite Spectral Clustering via Lagrange Duality.
IEEE Transactions on Image Processing (TIP), Vol 23, No. 8, pages 3522 - 3534, 2014.
(pdf)

  • Y. Yan, H. Wang and D. Suter

Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition
Pattern Recognition (PR),Vol 47, pages 3487 - 3501, 2014.
(pdf)

  • B. Zhong, H. Yao, S. Chen, R. Ji, T. Chin and H. Wang 
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles. 
Pattern Recognition (PR), Vol 47, pages 1395–1410, 2014.
  • Y. Qu, S. Wu, H. Liu, Y. Xie and H. Wang
Evaluation of local features and classifiers in BOW Model for Image Classification.
Multimedia Tools and Applications, Vol 70, No. 2, pages 605 - 624, 2014.
  • X. Li, A. Dick, C. Shen, Z. Zhang, A. van den Hengel and H. Wang
Visual tracking with spatio-temporal Dempster-Shafer information fusion.
IEEE Transactions on Image Processing (TIP),
Vol 22, No. 8, pages 3028 - 3040, Aug. 2013.
  • Y. Yan, H. Wang, C. Li, C.Yang, and B. Zhong
An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition
Neurocomputing  (Elsevier), Vol 119, pages 201– 211, Nov. 2013.
  • Y. Qu, H. Liu, X. Yang, S. Fang and H. Wang
Weakly-supervised object localization in unlabeled image collection.
Multimedia Systems, Vol 19, No. 1, pages 51-63, Feb. 2013.
  • B. Zhong, Y. Chen, Y. Chen, R. Ji, Y. Chen, D. Chen and H. Wang
Background Subtraction Driven Seeds Selection for Moving Objects Segmentation and Matting
Neurocomputing (Elsevier), Vol 103, pages 132- 142, Mar. 2013.
  • D.J.Mirota, H. Wang, R.H. Taylor, M. Ishii, G.L. Gallia, and G.D. Hager, 
A System for Video-based Navigation for Endoscopic Endonasal Skull Base Surgery
IEEE Trans. on Medical Imaging (TMI), Vol 31, No. 4, pages 963 - 976, June 2012.
(pdf)
  • T.-J. Chin, D. Suter and H. Wang
Boosting Histograms of Descriptor Distances for Scalable Multiclass Specific Scene Recognition.
Image and Vision Computing (IVC), Vol 29, No. 4, pages 241-250, Mar. 2011.
  • X. Li, W. Hu,  H. Wang, and Z. Zhang

  • Linear Discriminant Analysis Using Rotational Invariant L1 Norm.
    Neurocomputing  (Elsevier), Vol.73, No.13-15, pages 2571-2579, 2010.
    (pdf)
     
  • X. Li, W. Hu,  H. Wang, and Z. Zhang

  • Robust Object Tracking Using A Spatial Pyramid Heat Kernel Structural Information Representation.
    Neurocomputing  (Elsevier), Vol. 73, No. 16-18, pages 3179-3190, 2010.
    (pdf)
     
  • C. Shen, J. Kim and H. Wang

  • Generalized Kernel-based Visual Tracking.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol 20, No. 1, pages 119-130, 2010.
    (pdf) (Code is available: here)
     
  • X. Li, W. Hu, Z. Zhang and H. Wang

  • Heat Kernel Based Local Binary Pattern for Face Representation and Classification.
    IEEE Signal Processing Letters (SPL), Vol 17, No. 3, pages 308-311, 2010.
    (pdf)
     
  • H. Wang, D. Mirota, M. Ishii and G. Hager.

  • Anatomical Reconstruction from Endoscopic Images: Progress and Prognosis of Quantitative Endoscopy.
    American Journal of Rhinology (AJR), Vol 22, No. 1, pages 47-51, January-February 2008.
     
  • H. Wang and 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.
    (pdf), (abstract)
     
  • H. Wang and D. Suter

  • Using Symmetry in Robust Model Fitting.
    Pattern Recognition Letters (PRL), Vol. 24, No.16, pages 2953-2966, 2003.
    (pdf), (abstract), (URL)
     

会议论文:

  

·       Haosheng Chen, David Suter, Qiangqiang Wu and Hanzi Wang

End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking.

The AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb.7-12, 2020. (20.6% acceptance rate)

(pdf)

 

·     Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao and Hanzi Wang

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

The ACM Multimedia Conference (ACM MM), Nice, France, Oct.21-25, 2019. (26.5% acceptance rate)

(pdf)  

 

·       Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter and Hanzi Wang

Hypergraph Optimization for Multi-structural Geometric Model Fitting.
The AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, Jan. 27-Feb.1, 2019. (16% acceptance rate)
(pdf)  

 

·       Yanjie Liang, Qiangqiang Wu, Yi Liu, Yan Yan and Hanzi Wang

Robust Correlation Filter Tracking with Shepherded Instance-Aware Proposals.
The ACM Multimedia Conference (ACM MM), Seoul, Korea, Oct.22-26, 2018. (
Oral presentation, acceptance rate: 8.5%)
(pdf)  

 

·       Qiangqiang Wu, Yan Yan, Yanjie Liang, Yi Liu and Hanzi Wang

DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking.
Asian Conference on Computer Vision (ACCV), Perth, Australia, Dec.2-6, 2018.
(pdf)

 

·       Hailing Luo, Guobao Xiao and Hanzi Wang

Simple Iterative Clustering on Graphs for Robust Model Fitting.
IEEE International Conference on Visual Communications and Image Processing (VCIP), Taiwan, Dec.9-12,2018.

 

·       Chunguang Qie, Guanjun Guo, Yan Yan, Liming Zhang and Hanzi Wang

Improved Correlation Filter Tracking with Hard Negative Mining.
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug. 20-24, 2018.

 

·       Ni Zhuang, Yan Yan, Si Chen and Hanzi Wang

Multi-Task Learning of Cascaded CNN for Facial Attribute Classification.
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug. 20-24, 2018.

 

·       Yihan Du, Yan Yan, Si Chen, Yang Hua and Hanzi Wang

Object-Adaptive LSTM Network for Visual Tracking.
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug. 20-24, 2018.

 

·       Xiong Zhou, Hanzi Wang, Guobao Xiao, Xing Wang, Yan Yan and Liming Zhang

Weighted Median-Shift on Graphs for Geometric Model Fitting.
IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017.

 

·       Canping Su, Yan Yan, Si Chen and Hanzi Wang

An Efficient Deep Neural Networks Training Framework for Robust Face Recognition.
IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017.

 

·       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), Amsterdam, Netherlands,Oct.8-16, 2016
(pdf)

 

·       X. Wang, G. Xiao, Y. Yan and H. Wang

Message Passing on the Two-layer Network for Geometric Model Fitting.
Asian Conference on Computer Vision (ACCV), Taibei, Nov.20-24, 2016.(Oral - about 5% acceptance rate)
(pdf)

 

·       Y. Fang, Y. Yan, S. Chen, H. Wang and C. Shu

Sparse Similarity Metric Learning for Kinship Verification.
IEEE International Conference on Visual Communications and Image Processing (VCIP), Chengdu, China, Nov.23-30, 2016. (Top 10% award)
(pdf)

 

·       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), Santiago, Chile, Dec.13-16, 2015
(pdf)

 

·       D. Zhang, D. Wang and H. Wang

Scene Text Recognition Using Sparse Coding Based Features. 
IEEE International Conference on Image Processing (ICIP), Paris, France, Oct.27-30, 2014. (Top 10% award

 

·       H. Wang, J. Cai and J. Tang

AMSAC: An Adaptive Robust Estimator for Model Fitting. 
IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept.15-18, 2013. (Top 10% of accepted papers
 

·       Z. Zhang, Y. Yan and H. Wang

Discriminative Filter Based Regression Learning for Facial Expression Recognition. 
IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept.15-18, 2013. 
 

·       J. Cai and H. Wang

Adaptive Scale Based Entropy-like Estimator for Robust Fitting. 
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013. (Oral)

 

·       T. Qin, B. Zhong and H. Wang

Online Structured Hough Forests for Visual Tracking. 
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.

 

·       C. Li, L. Le, G. Hager, J. Tang and H. Wang

Robust Object Tracking in Crowd Dynamic Scenes using Explicit Stereo Depth.   
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Daejeon, Korea, November 5-9, 2012. (about 26% acceptance rate
 

·       C. LV, Y. Yan, and H. Wang

Robust Visual Tracking with the Cross-bin Metric. 
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. (Oral - about 15% acceptance rate)

 

·       Y. Gu, Y. Qu, T. Fang, C. Li, and H. Wang

Image Super-Resolution Based on Multi kernel Regression.   
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. (Oral - about 15% acceptance rate
 

·       J. Tang and H. Wang

Semantic Hough Transform Based Object Detection with Partial Least Squares.   
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.  
 

·       G. Liu, Y. Yan, and H. Wang

Accelerated Robust Sparse Coding for Fast Face Recognition. 
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. 
 

·       T. Qin, B. Zhong, T.-J. Chin, and H. Wang

Matting-Driven Online Learning of Hough Forests for Object Tracking.   
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. 
 

·       Y. Yan, H. Wang, C. Li, C. Yang, and B. Zhong

A Novel Unconstrained Correlation Filter and Its Application in Face Recognition.     
LECTURE NOTES IN COMPUTER SCIENCE, Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering (ISCIDE), Nanjing, China, Oct. 15-17, 2012.

 

·       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), Barcelona, Spain, 2011. 

 

·      T.-J. Chin, D. Suter, and H. Wang

Multi-StructureModel Selection via Kernel Optimisation. 

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, June 13-18,2010.(Acceptance rate: 26.8%)

 

·      H.Wang, T.-J. Chin and D. Suter

Visual Localization and Segmentation Based on Foreground/Background Modeling. 

IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), Dallas, Texas, USA, March 14-19, 2010.

 

·      W. Li, B. Li, X.Zhang, W. Hu, H. Wang and G. Luo

Occlusion Handling with 1-Regularized Sparse Reconstruction.
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision(ACCV),2010.

 

·      T.-J. Chin, H. Wang and D. Suter

The Ordered Residual Kernel for Robust Motion Subspace Clustering.

Advances of Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, pages 333-341, 2009. (Acceptance rate: 23.8%)

 

·      T.-J. Chin, H. Wang and D.Suter

Robust Fitting of Multiple Structures: The Statistical Learning Approach.

IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, pages 413-420, 2009. (Acceptance rate:23.2%)

 

Ÿ   D.Mirota, H.Wang, R. Taylor, M. Ishii and G.Hager

Towards Video-based Navigation for Endoscopic Endonasal Skull Base Surgery.

LECTURE NOTES IN COMPUTER SCIENCE, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK,Sept. 20-24, Volume 5761, pages 91-99,2009. (Oral presentation, acceptance rate: 5%)

 

·      K. Yu, W. Hu, X. Zhang, H. Wang and Y. Jia

Learning Group Activity in Soccer Videos from Local Motion.

LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Xi'An, China, 2009. (Oral - 36 out of 670).

 

·      C. Yuan, X. Li, W. Hu and H. Wang

Human Action Recognition Using Pyramid Vocabulary Tree.

LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Xi'An, China, 2009.

 

·      O. Wu, H.Zuo, M. Zhu, W. Hu, J. Gao and H. Wang

Rank Aggregation Based Text Feature Selection.

IEEE/WIC/ACM International Conference on Web Intelligence (WI), Milan, Italy, pages 165-172, 2009. (Acceptance rate: 16%)

 

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

Robust Motion Estimation and Structure Recoveryfrom Endoscopic Image Sequences With an Adaptive Scale Kernel Consensus Estimator.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Alaska, U.S.A., June 24-26, 2008.

 

·      H. Wang

Maximum Kernel Density Estimator for Robust Fitting.

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, U.S.A., pages 3385-3388, March 30-April 4, 2008. (Oral - 400 out of 2800).

 

·      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, Volume 3953, pages 606-618, May 7-13, 2006. (Oral - 40 out of 900)

 

·      Konrad Schindler, James 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, Volume 3951, pages 606-619, May 7-13, 2006. (Oral - 40 out of 900)

 

·      H. Wang and D.Suter

Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues.

International Conference on PatternRecognition (ICPR), Hong Kong, China, Volume 4, pages 892-895, August 20-24, 2006.

 

·       H. Wang and D. Suter

Background Subtraction Based on a Robust Consensus Method.

International Conference on Pattern Recognition (ICPR), Hong Kong, China, Volume 1, pages 223-226, August 20-24, 2006.

 

·       H. Wang and D. Suter

A Novel Robust Statistical Method for Background Initialization and Visual Surveillance.

LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Hyderabad, India, Volume 3851, pages 328-337, January13-16, 2006.

 

·       K. Schindler and H. Wang

Smooth Foreground-Background Segmentation for Video Processing.

LECTURE NOTES IN COMPUTERSCIENCE, Asian Conference on Computer Vision (ACCV), Hyderabad, India, Volume 3852, pages 581-590, January 13-16, 2006.

 

·       H. Wang and D. Suter

Background Initialization with A New Robust Statistical Approach.

IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS'05) in conjunction with ICCV, Beijing, China, pages 153-159, Oct. 15-21, 2005.

 

·       H. Wang and D. Suter

Tracking and Segmenting People with Occlusions by a Sample Consensus Based Method.

IEEE International Conference on Image Processing (ICIP), Genova, Italy, pages 410-413, Sept. 11-14, 2005.

 

·       H. Wang and D. Suter

A Re-Evaluation of Mixture-of-Gaussian Background Modeling.

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, USA, pages 1017-1020, March 19-23, 2005.

 

·       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, Volume 3023, pages 107-118, May 11-14, 2004.

 

·       H. Wang and D.Suter

False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation.

7th International Conference on DigitalImage Computing: Techniques and Applications (DICTA'03),Sydney, pages 581-590, December 10-12, 2003.

 

·       H. Wang and D. Suter

Color Image Segmentation Using Global Information and Local Homogeneity.

7th International Conference on Digital Image Computing: Techniques and Applications (DICTA'03),Sydney, pages 9-98, December 10-12, 2003.

 

·       H. Wang and D.Suter

Variable Bandwidth QMDPE and Its Application in Robust Optic Flow Estimation.

9th IEEE International Conference on Computer Vision (ICCV), Nice, France, pages178-183, October 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:

    联系方式:


    Computer Science Department
    School of Information Science and Technology
    Haiyun Campus, Xiamen University
    Xiamen, Fujian
    P.R.China, 361005

    Telephone: +86-592-2580063 (Office)
    Email: Hanzi.Wang@xmu.edu.cn; Hanzi.Wang@ieee.org

    Website: http://pami.xmu.edu.cn