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彭勃

Date:2020年09月14日

个人资料:

姓名彭勃

职称助理教授

学科专业信息与通信工程

通讯地址:天津大学电气自动化与信息工程学院26教学楼D

电子信箱: bpeng@tju.edu.cn

主要经历:

(1) 2020.07-至今    天津大学电气自动化与信息工程学院, 信息与通信工程专业, 助理教授

(2) 2016.09-2020.06  天津大学电气自动化与信息工程学院, 信息与通信工程专业, 博士

(3) 2019.03-2020.04  新加坡国立大学计算机科学系,联合培养博士

主要研究方向:

(1) 计算机视觉

(2) 无监督/自监督学习

(3) 视频行为聚类/图像聚类

(4) 跨模态数据分析

 

代表性论著、学术著作:

学术论文:

(1) Bo Peng, Jianjun Lei, Huazhu Fu, Ling Shao, and Qingming Huang, A Recursive Constrained Framework for Unsupervised Video Action Clustering, IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 555-565, 2020. (SCI, IF: 7.377)

(2) Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, and Xuelong Li, Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 1, pp. 131-144, 2020. (SCI, IF: 4.046)

(3) Jianjun Lei, Yuxin Song, Bo Peng*, Zhanyu Ma, Ling Shao, and Yi-Zhe Song, Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2019.2936710, 2019. (SCI, IF: 4.046)

(4) Jianjun Lei, Bo Peng, Changqing Zhang, Xuguang Mei, Xiaochun Cao, Xiaoting Fan, and Xuelong Li, Shape-Preserving Object Depth Control for Stereoscopic Images”, IEEE Transactions on Circuits and Systems for Video Technology, vol 28, no. 12, pp. 3333-3344, 2018. (SCI, IF: 4.046)

(5) Jianjun Lei, Lijie Niu, Huazhu Fu, Bo Peng, Qingming Huang, and Chunping Hou, Re-identification by Semantic Region Representation and Topology Constraint, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 8, pp. 2453-2466, 2019. (SCI, IF: 4.046)

(6) Jianjun Lei, Yalong Jia, Bo Peng*, and Qingming Huang, Channel-wise Temporal Attention Network for Video Action Recognition. IEEE International Conference on Multimedia and Expo (ICME), pp. 562-567, Oral, 2019. (CCF-B, Oral)

(7) Jianjun Lei, Yue Chen, Bo Peng, Qingming Huang, Nam Ling, and Chunping Hou, Multi-stream Region Proposal Network for Pedestrian Detection, IEEE International Conference on Multimedia and Expo Workshops, pp. 1-6, 2018. (CCF-B)

 

专利:

(1) 一种联合场景和运动多特征的视频行为聚类方法,发明专利,申请号:CN201810962264.3

(2) 一种上下文交互约束的低维子空间表达方法,发明专利,申请号:CN201810962272.8

 

主要学术成就、奖励及荣誉:

(1) 2019天津市科学技术进步奖一等奖R10

(2) 2019国家奖学金