王菡子

【个人简介】

王菡子，福建省“闽江学者”特聘教授（厦门大学），福建省引进高层次创新人才，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; 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引进高层次创新人才；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，视觉大数据分析与深度学习，鲁棒统计学和模型拟合，目标检测，目标与人脸识别，行人识别，视觉内容理解，运动估计与分割，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(4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60余篇，EI 收录100多篇。获得国家发明专利授权30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。

详细信息请访问个人主页：http://pami.xmu.edu.cn/hanzi_cn。

【学术兼职】

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 的大会主席、国际会议 CVRS2012 程序委员会主席、PRCV2019、ICPR2018、ACCV2016 和 DICTA2010 区域主席、VALSE2017 Tutorial主席、ICIG2015 和 IEEE 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。

【培养学生】

本人培养的研究生中有1名获中国图象图形学会优博论文奖、3名获福建省优秀博士论文和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和佛罗里达大学全额奖学金各1名。此外，培养的研究生毕业后大多数去腾讯、京东、今日头条、百度、华为等。

【发表论文】

部分特色期刊论文：

1. 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, pp. 2034-2056, 2021. (CCF A 类, JCR 1区)

2. 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. (CCF A 类, JCR 1区)

3. 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. (CCF A 类, JCR 1区)

4. 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. (CCF A 类, JCR 1区)

5. 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. (CCF A 类, JCR 1区)

6. 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. (CCF A 类, JCR 1区)

7. 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. (CCF A 类, JCR 1区)

8. 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. (CCF A 类, JCR 1区)

9. 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. (CCF A 类, JCR 1区)

10. H. Guo, Y. Lu, H. Chen, H. Luo, G. Xiao, H. Zhang, and H. Wang. Motion Consistency Guided Robust Geometric Model Fitting with Severe Outliers. IEEE Transactions on Industrial Electronics (IEEE TIE), Accepted, 2021. (JCR 1区)

11. Y. Liang, Y. Liu，Y. Yan，L. Zhang and H. Wang. Robust Visual Tracking via Spatio-Temporal Adaptive and Channel Selective Correlation Filters. Pattern Recognition (PR), Vol 112, No.9, pages 107738:1-107738:14, 2021.

12. X. Zhang, Y. Yan, J. Xue, Y. and 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.

13. Q. Wu, H. Wang, Y. Liu, L. Zhang and X. Gao. SAT: Single-shot Adversarial Tracker. IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 67, No. 11, pages 9882-9892, 2020. (JCR 1区)

14. 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), Vol 22, No. 11, pages 2792-2807, 2020.

15. 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.

16. 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), Vol.50, No.7, pages 3294-3306, 2020. (JCR 1区)

17. 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. (CCF A 类, JCR 1区)

18. 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), Vol.50, No.10, pages 4530 - 4543, 2019. (JCR 1区)

19. 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.  

20. 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.

21. 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. (JCR 1区)

22. 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.

23. 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), Vol154, pages 152 -165, 2017.

24. 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.

25. 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. (CCF A 类, JCR 1区)

26. G. Xiao, H. Wang, T. Lai and D. Suter. Hypergraph Modelling for Geometric Model Fitting. Pattern Recognition (PR), Vol 60, pages 748 - 760, 2016.

27. 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.

28. 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. (CCF A 类, JCR 1区)

29. 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.        

30. 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, 2013. (CCF A 类, JCR 1区)

31. 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.

32. 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.

33. 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.

部分特色会议论文：

34. 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), Chengdu, China, Oct.20-24, 2021. (CCF A类，27.9% acceptance rate)

35. 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), Chengdu, China, Oct. 20-24, 2021. (CCF A类，27.9% acceptance rate)

36. 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), Chengdu, China, Oct. 20-24, 2021. (CCF A类，27.9% acceptance rate)

37. 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) , pages7660--7669, June, 2021. (CCF A类，27% acceptance rate)

38. 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), pages11916-11925, June, 2021. (CCF A类，27% acceptance rate)

39. 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), Seattle, United States, Oct. 12-16, 2020. (CCF A类，27.95% acceptance rate)

40. 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), Seattle, United States, Oct. 12-16, 2020. (CCF A类，27.95% acceptance rate)

41. 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), New York, USA, Feb.7-12, 2020. (CCF A类，20.6% acceptance rate)

42. 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 Multimedia Conference (ACM MM), Nice, France, Oct.21-25, 2019. (CCF A类，26.5% acceptance rate)

43. 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), Hawaii, USA, Jan. 27-Feb.1, 2019. (CCF A类，16% acceptance rate)

44. Y. Liang, Q. Wu, Y. Liu, Y. Yan and H. Wang. Robust Correlation Filter Tracking with Shepherded Instance-Aware Proposals. The ACM Multimedia Conference (ACM MM), Seoul, Korea, Oct.22-26, 2018. (CCF A类，Oral presentation, acceptance rate: 8.5%)

45. 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

46. 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. (CCF A类)

47. 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. (CCF A类)

48. T.-J. Chin, D. Suter, and H. Wang. Multi-Structure Model Selection via Kernel Optimisation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, June 13-18, 2010. (CCF A类, 26.8% acceptance rate)

49. 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. (CCF A类, 23.8% acceptance rate)

50. 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. (CCF A类, 23.2% acceptance rate)

51. D.Mirota, H.Wang, R. Taylor, M. Ishii and G.Hager. Towards Video-based Navigation for Endoscopic Endonasal Skull Base Surgery. 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%)

52. 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. (CCF A类)

53. H. Wang, D. Suter and K. Schindler. Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking. European Conference on Computer Vision (ECCV), Graz, Austria, Volume 3953, pages 606-618, May 7-13, 2006. (Oral - 40 out of 900)

54. Konrad Schindler, James U, and H. Wang. Perspective n-view Multibody Structure-and-Motion through Model Selection. European Conference on Computer Vision (ECCV), Graz, Austria, Volume 3951, pages 606-619, May 7-13, 2006. (Oral - 40 out of 900)