Rui Yao

Doctor

With Certificate of Graduation for Doctorate Study

Personal Information

Business Address:中国矿业大学南湖校区计算机学院A326-1
E-Mail:

VIEW MORE

Other Contact Information


Profile

       姚睿,博士、教授、研究生导师。入选江苏省"六大人才高峰"高层次人才,中国矿业大学优秀青年骨干教师。主要从事计算机视觉、模式识别、深度学习、人工智能等方面理论与应用研究。分别于2011.9-2012.10,2016.9-2017.9在澳大利亚阿德莱德大学进行合作研究。

       主持国家自然科学基金项目3项(其中面上项目2项,青年项目1项)、江苏省自然科学基金面上项目1项、中国博士后科学基金2项(特别资助项目1项,面上项目1项)等;参加国家自然科学基金面上项目5项,青年项目2项。出版专著2部,在国内外重要学术期刊、会议上发表学术论文60余篇:包括CVPR, ICCV, ECCV, IEEE TIP, IEEE TMM, IEEE TCSVT, PR等。授权发明专利5项,软件著作权6项。

       获教育部高等学校科学研究优秀成果奖1项,中国煤炭工业协会科学技术奖二等奖2项,江苏省教育科学研究成果(高校科学技术类)二等奖1项。指导多位硕士研究生获中国矿业大学优秀硕士学位论文奖。指导学生获得IEEE 国际计算机视觉与模式识别会议(CVPR)主办的“智能交通视频分析界的ImageNet 竞赛”—英伟达智慧城市挑战赛的第五名。

       中国计算机学会(CCF)高级会员,担任中国体视学会理事、中国计算机学会计算机视觉专委会会员、江苏省人工智能学会智能系统与应用专委会秘书长、中国图象图形学会成像探测与感知专委会委员等。担任IEEE TIP, IEEE TMM, IEEE TGRS, IEEE TVT, IEEE SPL, Pattern Recognition等国际期刊审稿人,担任CVPR, ICCV, ECCV, AAAI, IJCAI, ACCV, WACV, PRCV等重要国际会议PC Member。

       讲授《信息学科概论》(本科生)、《智能优化方法》(本科生)、《图像理解与视觉感知》(本科生)和《图像处理与应用》(研究生)等课程。主持校教学改革项目3项,发表教学论文3篇,获本科校级优秀毕业设计(论文)指导教师,指导多项国家、江苏省、校级大学生创新训练计划项目。

       联系方式:ruiyao@cumt.edu.cn


主持科研项目:

1. 国家自然科学基金面上项目:面向视频目标跟踪的自监督深度表观学习研究,2022.1-2025.12,主持

2. 国家自然科学基金面上项目:深度语义感知的视频目标分割与跟踪,2018.1-2021.12,主持

3. 国家自然科学基金青年项目:基于动态图模型与多元结构化在线学习的视觉目标跟踪,2015.1-2017.12,主持

4. 江苏省自然科学基金面上项目:深度部件学习的视觉目标跟踪研究,2017.7-2020.6,主持

5. 中国博士后基金特别资助项目,2016.7-2018.6,主持

6. 中国博士后基金面上项目,2014.7-2016.7,主持


发表部分期刊论文:

[1] Chongyu Liu, Rui Yao*, S. Hamid Rezatofighi, Ian Reid, Qinfeng Shi, Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference, IEEE Transactions on Image Processing, 29: 277-288, 2020. (SCI, JCR 1区)

[2] Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Video Object Segmentation and Tracking: A Survey, ACM Transactions on Intelligent Systems and Technology, 2020. (SCI, JCR 2区)

[3] Rui Yao, Cunyuan Gao, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Fuyuan Hu, GAN-based Person Search via Deep Complementary Classifier with Center-constrained Triplet Loss, Pattern Recognition, 2020. (SCI, JCR 1区)

[4] Rui Yao, Guosheng Lin, Chunhua Shen, Yanning Zhang, Qinfeng Shi, Semantics-Aware Visual Object Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 29(6), 1687-1700, 2018. (SCI, JCR 1区)

[5] Rui Yao, Guosheng Lin, Qinfeng Shi, Damith C. Ranasinghe, Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks, Pattern Recognition, 78: 252-266, 2018. (SCI, JCR 1区)

[6] Rui Yao, Shixiong Xia, Zhen Zhang, and Yanning Zhang, Real-time Correlation Filter Tracking by Efficient Dense Belief Propagation with Structure Preserving, IEEE Transactions on Multimedia, 19(4): 772-784, 2017. (SCI, JCR 1区)

[7] Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, and Anton van den hengel, Part-based Robust Tracking using Online Latent Structured Learning, IEEE Transactions on Circuits and Systems for Video Technology, 27(6): 1235-1248, 2017. (SCI, JCR 1区)

[8] Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, and Rui Yao, CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence, IEEE Transactions on Image Processing, 2021. (SCI, JCR 1区)


发表部分会议论文:

[1] Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen, Canet: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 5217-5226, 2019. (Top Conference)

[2] Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao, Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp 9587-9595, 2019. (Top Conference)

[3] Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel, Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties, Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017. (Top Conference)

[4] Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, and Anton van den Hengel, Part-based Visual Tracking with Online Latent Structural Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 25-27, pp 2363–2370, USA, 2013. (Top Conference)

[5] Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, and Anton van den Hengel, Robust Tracking with Weighted Online Structured Learning, Proceedings of the 12th European Conference on Computer Vision (ECCV), Oct. 7-13, pp158-172, Italy, 2012. (Top Conference)

[6] Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao*, Yong Zhou, Jiaqi Zhao, Vehicle Re-Identification Based on Complementary Features, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021.


No content
No content

No content

No content