刘东

导师介绍

姓名

刘东


 
工作单位

威尼斯888手机版-威尼斯app官方正版/威尼斯888手机版信息科学技术学院

学位/职称

副教授

办公室电话

0551-63600281

Email

dongeliu@ustc.edu.cn

教育背景

 

2004/09~2009/06,威尼斯888手机版, 微软亚洲研究院学习,  博士

2000/09~2004/06,威尼斯888手机版, 电子科学与技术系学习, 学士

研究方向

互联网数据挖掘、多媒体信息处理、图像与视频压缩

任职经历

2012/12~至今,   威尼斯888手机版, 副教授,博士生导师

2009/07~2012/08,   诺基亚研究院,     研究员

获得荣誉、奖项

拥有16项授权专利和1项AVS采用的技术方案。

获得2009年IEEE视频技术电路和系统最佳论文奖和VCIP 2016年最佳10%论文奖。

分别在ACM MM 2018,ECCV 2018,CVPR 2018和ICME 2016中赢得了4项技术挑战。

IEEE和CSIG的高级成员,ACM和CCF的成员,IEEE CAS Society的MSA TC当选成员。

曾担任ICME 2019的注册联合主席,以及WCSP 2014的研讨会联合主席。

主持、参与项目

l 国家自然科学基金面上项目:面向视觉质量优化的深度学习视频编码,批准号:61772483。负责人。

l 国家重点基础研究发展计划(973计划)课题:与视感知一致的视觉信息编码理论,课题编号:2015CB351803。课题组成员。

l (已结题) 国家自然科学基金青年基金项目:云环境中基于三维世界模型的图像表示与压缩,批准号:61303149。负责人。

l (已结题) 国家自然科学基金重大项目课题:群体化图像视频编码理论与方法,批准号:61390512。子课题负责人。

l (已结题) 国家自然科学基金重点项目:高分辨率SAR成像要素影响与集成化处理平台,批准号:61331017。子课题负责人。

l (已结题) 中科院先导B课题:深海超高清三维/全景视频实时低损压缩存储系统,课题编号:XDB06040900。课题组成员。

l 华为公司合作项目:基于机器学习的下一代视频压缩编码技术研究。

l (已结题) Intel CMC Project, sponsored by Intel ICRI MNC.

l (已结题) 威尼斯888手机版重要方向项目培育基金:光谱压缩成像,编号:WK3490000001。负责人。

l (已结题) 威尼斯888手机版创新团队培育基金:面向智慧城市的多媒体关键技术研究,编号:WK2100060011。团队成员。

论文、著作

1. (Early Access) Dong Liu, Ke Sun, Zhangyang Wang, Runsheng Liu, Zheng-Jun Zha*. Frank-Wolfe network: An interpretable deep structure for non-sparse coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [DOI]

2. (Early Access) Changyue Ma, Dong Liu, Xiulian Peng, Li Li, Feng Wu*. Convolutional neural network-based arithmetic coding for HEVC intra-predicted residues. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [DOI]

3. (Early Access) Li Li, Zhu Li*, Bin Li, Dong Liu, Houqiang Li. Quadtree-based coding framework for high density camera array based light field image. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [DOI]

4. (Early Access) Zhen Cheng, Zhiwei Xiong*, Dong Liu. Light field super-resolution by jointly exploiting internal and external similarities. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [DOI]

5. (Early Access) Jianping Lin, Dong Liu*, Haitao Yang, Houqiang Li, Feng Wu. Convolutional neural network-based block up-sampling for HEVC. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [DOI]

6. Ning Yan, Dong Liu*, Houqiang Li, Bin Li, Li Li, Feng Wu. Invertibility-driven interpolation filter for video coding. IEEE Transactions on Image Processing (TIP). vol 28, no 10, pp 4912-4925. Oct 2019. [DOI]

7. Jiaying Liu, Sifeng Xia, Wenhan Yang*, Mading Li, Dong Liu. One-for-all: Grouped variation network-based fractional interpolation in video coding. IEEE Transactions on Image Processing (TIP). vol 28, no 5, pp 2140-2151. May 2019. [DOI]

8. Changyue Ma, Dong Liu*, Xiulian Peng, Li Li, Feng Wu. Traffic surveillance video coding with libraries of vehicles and background. Journal of Visual Communication and Image Representation. vol 60, pp 426-440. Apr 2019. [DOI]

9. Yue Li, Dong Liu*, Houqiang Li, Li Li, Zhu Li, Feng Wu. Learning a convolutional neural network for image compact-resolution. IEEE Transactions on Image Processing (TIP). vol 28, no 3, pp 1092-1107. Mar 2019. [DOI]

10. Ning Yan, Dong Liu*, Houqiang Li, Bin Li, Li Li, Feng Wu. Convolutional neural network-based fractional-pixel motion compensation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 29, no 3, pp 840-853. Mar 2019. [DOI]

11. Yefei Wang, Dong Liu*, Siwei Ma, Feng Wu, Wen Gao. Spherical coordinates transform-based motion model for panoramic video coding. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). vol 9, no 1, pp 98-109. Mar 2019. [DOI]

12. Changyue Ma, Dong Liu*, Xiulian Peng, Feng Wu, Houqiang Li, Tingting Wang. Reference clip for inter prediction in video coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 29, no 1, pp 130-143. Jan 2019. [DOI]

13. Hangfan Liu, Ruiqin Xiong*, Dong Liu, Siwei Ma, Feng Wu, Wen Gao. Image denoising via low rank regularization exploiting intra and inter patch correlation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 28, no 12, pp 3321-3332. Dec 2018. [DOI]

14. Yue Li, Dong Liu*, Houqiang Li, Li Li, Feng Wu, Hong Zhang, Haitao Yang. Convolutional neural network-based block up-sampling for intra frame coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 28, no 9, pp 2316-2330. Sep 2018. [DOI]

15. Li Li, Houqiang Li*, Dong Liu, Zhu Li, Haitao Yang, Sixin Lin, Huanbang Chen, Feng Wu. An efficient four-parameter affine motion model for video coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 28, no 8, pp 1934-1948. Aug 2018. [DOI]

16. Qiang Song, Ruiqin Xiong*, Dong Liu, Zhiwei Xiong, Feng Wu, Wen Gao. Fast image super-resolution via local adaptive gradient field sharpening transform. IEEE Transactions on Image Processing (TIP). vol 27, no 4, pp 1966-1980. Apr 2018. [DOI]

17. Fangdong Chen, Houqiang Li*, Li Li, Dong Liu, Feng Wu. Block-composed background reference for high efficiency video coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 27, no 12, pp 2639-2651. Dec 2017. [DOI]

18. Dong Liu*, Dandan Wang, Houqiang Li. Recognizable or not: Towards image semantic quality assessment for compression. Sensing and Imaging. vol 18, no 1, pp 1-20. Dec 2017. [DOI]

19. Li Li, Zhu Li*, Bin Li, Dong Liu, Houqiang Li. Pseudo-sequence-based 2-D hierarchical coding structure for light-field image compression. IEEE Journal of Selected Topics in Signal Processing (J-STSP). vol 11, no 7, pp 1107-1119. Oct 2017. [DOI]

20. Dong Liu, Xiaoyan Sun, Feng Wu, Shipeng Li, Ya-Qin Zhang. Image compression with edge-based inpainting. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 17, no 10, pp 1273-1287. Oct 2007. (2009 TCSVT Best Paper Award) [DOI]

 


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