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Gui-Song Xia is currently a professor at the State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. He receieved his B.Sc. and M.Sc. degree from Wuhan University in 2005 and 2007, respectively, and got a Ph.D. degree with speciality in Signal and Images from Telecom ParisTech in March 2011. Since April 2011, he had worked as a postdoctoral researcher at CNRS ( LTCI and CEREMADE) for about 1.5 years. In December 2012, he joined State Key Lab. LIESMARS, Wuhan University.

His current research concentrates on mathematical modeling of images, computer vision, pattern recognition and their applications in remote sensing imaging. On those topics, he has co-/authored more than 90 articles on international journals/conferences, such as International Journal of Computer Vision (IJCV), IEEE Trans. on Image Processing (TIP), SIAM Journal on Imaging Science (SIIMS), Pattern Recognition (PR), IEEE Trans. on Geoscience and Remote Sensing (TGRS), CVPR, BMVC, ICIP and ICPR. He serves currently as Associate Editors of EURASIP Journal on Image and Video Processing and Signal Processing: Image Communications , and Guest Editor of IEEE Trans. on Big Data , Pattern Recognition Letter, Geo-Spatial Information Science, etc. He is a senior member of IEEE. For more information, please refer to a detail Curriculum Vitate.

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News


Educations

  • 2007.10-2011.03: Ph.D. in Signal and Images, Telecom ParisTech, Paris, France.
  • 2005.10-2007.06: M.Sc. in Signal and Images Processing, Wuhan University, Wuhan, China.
  • 2001.09-2005.06: B.Sc. in Electronic Engineering, Wuhan University, China.

Working Experiences


Research Interests

  • Structural analysis and mathematical modeling of images
  • Machine learning in computer vision and earth vision
  • 3D reconstruction of large-scale visual scenes
  • Data mining of big remote sensing images
  • Scene cognition based on UAV platform

Representative research

  • F.-D. Wang, N. Xue, Y.-P. Zhang, X. Bai, G.-S. Xia. Adaptively Transforming Graph Matching [PDF].
    European Conference on Computer Vision (ECCV), 2018.
  • G.-S. Xia et. al. DOTA: A Large-scale dataset for object detection in aerial images [PDF], [Project Page], [gitHub].
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  • T. Xiang, G.-S. Xia, X.Bai, L. Zhang. Image stitching by line-guided local warping with global similarity constraint. [PDF].
    Pattern Recognition (PR), Vol.83, pp.481–497, 2018.
  • N. Xue, G.-S. Xia, X. Bai, L. Zhang, W. Shen. Anisotropic-scale junction detection and matching for indoor images . [PDF]
    IEEE Trans. on Image Processing (TIP), Vol.27, No.1, pp.78-91, 2018.
  • X. Zhang, G.-S. Xia, Q. Lu, W. Shen, L. Zhang. Visual object tracking by correlation filters and online learning [PDF].
    ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS J.P&RS), Vol. 140, pp. 77-89, 2018.
  • G.-S. Xia, G. Liu, X. Bai, L. Zhang. Texture characterization using shape co-occurrence patterns. [PDF]
    IEEE Trans. on Image Processing (TIP), Vol.26, No. 10, pp.5005 - 5018, 2017.
  • G.-S. Xia, J. Hu, F. Hu, et. al. AID: A benchmark dataset for performance evaluation of aerial scene classification . [PDF] [project-page]
    IEEE Trans. on Geoscience and Remote Sensing (TGRS), Vol. 55, No.7, pp.3965 - 3981, 2017.
  • G.-S. Xia, G. Liu, W. Yang, L. Zhang. Meaningful object segmentation from SAR images via a multi-scale NLAC model. [PDF]
    IEEE Trans. on Geoscience and Remote Sensing (TGRS), Vol.54, No.4, pp.2108-2123, 2016.
  • J.-G. Yu, G.-S. Xia, A. Samal. Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation. [PDF]
    Pattern Recognition (PR), Vol.51, pp.255–267, 2016.
  • J.-G. Yu, G.-S. Xia, C. Gao. A computational model for object-based visual saliency: spreading attention along Gestalt cues. [PDF]
    IEEE Trans. on Multimedia (TMM), Vol.18, No.2, pp.273-286, 2016.
  • F. Hu, G.-S. Xia, J. Hu, L. Zhang. Transferring deep CNNs for the scene classification of high-resolution remote sensing imagery. [PDF]
    Remote Sensing (RS), Vol.7, No.11, pp.14680-14707, 2015.
  • G.-S. Xia, S. Ferradans, G. Peyre, J-F. Aujol. Synthesizing and mixing stationary Gaussian texture models. [PDF]
    SIAM Journal on Imaging Science (SIIMS), Vol.7, No.1, pp.476-508, 2014.
  • G.-S. Xia, J. Delon, Y. Gousseau. Accurate junction detection and characterization in natural images. [PDF]
    International Journal of Computer Vision (IJCV), Vol.106, No.1, pp.31-56, 2014.
  • F. Yuan, G.-S. Xia, H. Sahbib, V. Prinet. Mid-level features and spatio-temporal context for activity recognition.[PDF]
    Pattern Recognition (PR), Vol.45, No.12, pp.4182-4191, 2012.
  • W. Yang, D. Dai, B. Triggs, G.-S. Xia. SAR-based terrain classification using weakly supervised hierarchical Markov aspect models. [PDF]
    IEEE Trans. on Image Processing (TIP), Vol.21, No.9, pp.4232-4243, 2012.
  • G.-S. Xia, J. Delon, Y. Gousseau. Shape-based invariant texture indexing. [PDF]
    International Journal of Computer Vision (IJCV), Vol.88, No.3, pp.382-403, 2010.