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康雷

职称:讲师


联系方式:lkang@stu.edu.cn


个人主页:leitro.github.io


办公地址:工科楼工南207


康雷,计算机博士,汕头大学工学院计算机系教师。2012,2015和2021年分别毕业于吉林大学(本科),中国科学技术大学(硕士)和巴塞罗那自治大学(博士)。研究方向为多语种手写文字识别,多模态图像语义理解,手写文字图像生成等。研究成果主要发表在TPAMI, PR, ECCV等国际主流学术期刊和会议。


获奖情况:

Best Paper Award of International Conference on Frontiers of Handwriting Recognition (ICFHR), Dortmund, 2020.

Intel物联网黑客马拉松竞赛亚军,上海,2016.

全国“电脑鼠走迷宫”竞赛吉林赛区三等奖,长春,2010.


科研项目:

CONCORDIA: CONtextualising the COntents in the Recognition of Document Images from ArchivesName. Ministry of Economy, Industry and Competitiveness, 85.680€, 2016.04-2018.09. (参与)

Digitus II: Automatic Indexation Service for Handwritten Archives. Catalan Agency for Management of University and Research, 20.000€, 2017.06-2018.02. (参与)


代表性论文:

L. Kang, P. Riba, M. Rusiñol, A. Fornés, M. Villegas. Content and Style Aware Generation of Text-line Images for Handwriting Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. (IF:16.389, 中科院一区)

L. Kang, P. Riba, M. Villegas, A. Fornés, M. Rusiñol. Candidate fusion: Integrating language modelling into a sequence-to-sequence handwritten word recognition architecture. Pattern Recognition, 2021. (IF: 7.740, 中科院一区)

L. Kang, P. Riba, Y. Wang, M. Rusiñol, A. Fornés, M. Villegas. GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images. European Conference on Computer Vision, 2020. (国际会议)

L. Kang, M. Rusiñol, A. Fornés, P. Riba, M. Villegas. Unsupervised writer adaptation for synthetic-to-real handwritten word recognition. IEEE/CVF Winter Conference on Applications of Computer Vision, 2020. (国际会议)

L. Kang, P. Riba, M. Rusiñol, A. Fornés, M. Villegas. Distilling Content from Style for Handwritten Word Recognition. International Conference on Frontiers in Handwriting Recognition, 2020. (国际会议,最佳论文奖)

L. Kang, J.I. Toledo, P. Riba, M. Villegas, A. Fornés, M. Rusiñol. Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition, 2018. (国际会议)

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