Junwei Han (韩军伟)

Northwestern Polytechnical University (西北工业大学), Professor, Deputy Director of Key Laboratory of Information Fusion Technology, Ministry of Education
Research Interests:Computer visionMultimedia information processingBrain imaging analysisremote sensing image processing

入选2019年爱思唯尔“中国高被引学者”(计算机学科)。

1 paper is accepted by IJCAI 2020, and its acceptance rate is 12.6%.

Junwei Han is invited to serve as an area chair for ICPR 2020.

Junwei Han is invited to serve as an area chair for CVPR 2021.

Junwei Han is invited to serve as an area chair for ACCV 2020.

两篇论文入选2018年中国百篇最具影响国际学术论文。

入选2019年科睿唯安全球“高被引科学家”(工程学科)。

1 paper is accepted by TPAMI.

1 paper is accepted by TPAMI.

Junwei Han is elected as IET Fellow.

1 paper is accepted by TPAMI.

博士生张鼎文获得中国图像图形学会优秀博士论文奖(全国十位)。

1 paper is accepted by IJCV.

韩军伟,西北工业大学教授,信息融合技术教育部重点实验室副主任,陕西省科技创新团队负责人,英国工程技术学会会士(IET Fellow),科睿唯安全球“高被引科学家”,爱思唯尔“中国高被引学者”,入选了国家优青等人才计划。主要研究方向是多媒体信息处理、人工智能和脑成像分析。在领域顶级期刊如:Proceedings of the IEEE,IEEE TPAMI, IJCV, NeuroImage, Cerebral Cortex等发表学术论文70余篇,其中影响因子>10的论文20余篇,在领域顶级的国际会议如:CVPR,ICCV,MICCAI,IPMI, IJCAI等发表学术论文30余篇。论文被引用万余次,ESI高被引论文30篇,ESI热点论文18篇。获得国际会议IEEE BIBM 2018最佳论文奖,国际会议ACM Multimedia 2010,MICCAI 2011和ICME 2016最佳学生论文奖提名,两篇论文入选2018年中国百篇最具影响国际学术论文,培养多名博士生获得中国图像图形学会优秀博士论文奖(全国共10位)、ACM SIGAI(国际计算机学会人工智能分会)优秀博士论文奖以及西北工业大学优秀博士学位论文奖 。主持国家重点研发计划课题、军委科技委国防科技创新特区等十余项国家级课题。获国家授权发明专利20余项。获得陕西省科学技术一等奖(排名第一)、教育部自然科学二等奖(排名第一)、国防技术发明三等奖等5项省部级科技奖励,获ACM SIGAI(国际计算机学会人工智能分会最佳导师奖,担任国际期刊IEEE Trans. on Neural Networks and Learning Systems、IEEE Trans. on Cybernetics、IEEE Trans. on Circuits and Systems for Video Technology、IEEE Trans. on Multimedia、中国科学:信息科学(英文版)等多个国际期刊编委,担任领域权威国际会议如: CVPR,ICPR, ACCV等的领域主席。

  1. Weakly-Supervised Learning of Category-specific 3D Object Shapes
    J. Han, Y. Yang, D. Zhang, et al.. IEEE TPAMI: 2019
  2. P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization
    J. Han, X. Yao, G. Cheng, X. Feng, D. Xu. IEEE TPAMI: 2019
  3. Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation
    D. Zhang, J. Han, Y. Zhang, and D. Xu. IEEE TPAMI: 2019
  4. SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos
    D. Zhang, J. Han, L. Yang, and D. Xu. IEEE TPAMI: 2018
  5. Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework
    D. Zhang, J. Han, L. Zhao, D. Meng. IJCV: 2018
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Updated on:2020-05-09 09:42      Total Visits:37154

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