夏桂松，男，武汉大学计算机学院教授，博士生导师，国家优秀青年科学基金获得者，ieee资深会员（senior member）。2005年和2007年先后在武汉大学获得学士（电子信息工程）和硕士学位（信号信息处理），2011年3月获得博士学位。2011-2012在从事博士后研究工作，2018年10-12月在法国巴黎高师（ens-paris）担任访问学者。 长期从事计算机视觉、模式识别、对地观测图像解译等领域的研究工作，近5年主持和参与相关科研项目30余项，出版专著2部，在包括, , , , , 等国际权威期刊和cvpr、eccv、bmvc、icip、icpr等相关国际会议上发表学术论文140余篇。 现担任国际期刊 , 和 副编辑 (associate editor)，以及, pattern recognition letter等国际期刊客座编委 (guest editor)。 获中国科协优秀科技论文，湖北省自然科学奖二等奖等奖励。
n. xue, s. bai, f.-d. wang, g.-s. xia, t. wu, l. zhang, p. torr. learning regional attraction for line segment detection, [],[].
ieee trans. on pattern analysis and machine intelligence (tpami), in press, 2020.
f.-d. wang, n. xue, y. zhang, g.-s. xia, m. pelillo. a functional representation for graph matching [].
ieee trans. on pattern analysis and machine intelligence (tpami), in press, 2020.
y. xu, m. fu, q.wang, y. wang, k. chen, g.-s. xia, x. bai. gliding vertex on the horizontal bounding box for multi-oriented object detection [].
ieee trans. on pattern analysis and machine intelligence (tpami), in press, 2020.
f.-d. wang, n. xue, j.-g. yu, g.-s. xia. zero-assignment constraint for graph matching with outliers [].
ieee conference on computer vision and pattern recognition (cvpr), 2020.
n. xue, t. wu, s. bai, f.-d. wang, g.-s. xia, l. zhang, p.h.s torr. holistically-attracted wireframe parsing [].
ieee conference on computer vision and pattern recognition (cvpr), 2020.
z. fan, j.-g. yu, z. liang, j. ou, c. gao, g.-s. xia, y. li. fgn: fully guided network for few-shot instance segmentation [].
ieee conference on computer vision and pattern recognition (cvpr), 2020.
x.-y. tong, g.-s. xia, q. lu, h. shen, s. li, s. you, l. zhang. land-cover classification with high-resolution rs images using transferable deep models [], [].
remote sensing of environment (rse), 2019.
n. xue, s. bai, f.-d. wang, g.-s. xia, t. wu, l. zhang. learning attraction field representation for robust line segment detection [].
ieee conference on computer vision and pattern recognition (cvpr), 2019.
j. ding, n. xue, y. long, g.-s. xia, q. lu. learning roi transformer for detecting oriented objects in aerial images [].
ieee conference on computer vision and pattern recognition (cvpr), 2019.
z.-c xue, n. xue, g.-s. xia, w. shen. learning to calibrate straight lines for fisheye image rectification [].
ieee conference on computer vision and pattern recognition (cvpr), 2019.
f.-d. wang, n. xue, y.-p. zhang, x. bai, g.-s. xia. adaptively transforming graph matching [].
european conference on computer vision (eccv), 2018.
g.-s. xia et. al. dota: a large-scale dataset for object detection in aerial images [], [], [].
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. [].
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 . []
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 [].
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. []
ieee trans. on image processing (tip), vol.26, no. 10, pp.5005 - 5018, 2017.
g.-s. xia, et. al. aid: a benchmark dataset for performance evaluation of aerial scene classification . [] []
ieee trans. on geoscience and remote sensing (tgrs), vol. 55, no.7, pp.3965 - 3981, 2017.
j.-g. yu, g.-s. xia, et. al. globally consistent correspondence of multiple feature sets using proximal gauss-seidel relaxation. []
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. []
ieee trans. on multimedia (tmm), vol.18, no.2, pp.273-286, 2016.
g.-s. xia, s. ferradans, g. peyre, j-f. aujol. synthesizing and mixing stationary gaussian texture models. []
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. []
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.[]
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. []
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. []
international journal of computer vision (ijcv), vol.88, no.3, pp.382-403, 2010.