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

1 paper is accepted by IEEE TPAMI!

1 paper is accepted by IJCV!

3 papers are accepted by CVPR 2018!

1 paper entitled "Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey" is published in Jan. 2018 in IEEE Signal Processing Magazine!

1 paper is accepted by ICCV 2017!

1 paper is accepted by Proceedings of the IEEE!

2 papers are accepted by CVPR 2017!

1 paper is accepted by Proceedings of the IEEE!

2 papers are accepted by IPMI 2017!

1 paper is accepted by Human Brain Mapping!
Our paper is selected as a candidate of Best Student Paper Award for ICME 2016!

1 paper is accepted by IEEE TPAMI!

2 papers are accepted by IJCV!

CV:Junwei Han (韩军伟) obtained the BS, MS, and Ph.D degrees from Northwestern Polytechnical University. He has worked in Nanyang Technological University, The Chinese University of Hong Kong, Dublin City University, and University of Dundee. He also worked in Microsoft Research Aisa and University of Surrey as a visiting researcher. From 2010, he has been working in Northwestern Polytechnical University, China, as a full professor. He has published more than 60 papers in international journals including more than 50 IEEE Transacitons papers and more than 30 papers in top conference papers, for example, CVPR, ICCV,ACM MM, IJCAI, AAAI, MICCAI, IPMI. His publications have been cited more than 6500 times by international researchers. 30+ papers are ESI highly cited papers or hot papers. Three of his papers were nominated as the best student paper award in ACM Multimedia 2010, the Young Scientist Award in MICCAI 2011, and best student paper award in ICME 2016, respectively. He received EU Marie Curie International Incoming Fellowships. He is currently an associate editor for a number of international journals such as the IEEE Trans. on Human-Machine Systems, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Circuits and Systems for Video Technology, and IEEE Trans. on Cognitive and Developmental Systems.

  1. 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
  2. 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
  3. Reinforcement Cutting-Agent Learning for Video Object Segmentation
    J. Han, L. Yang, D. Zhang, X. Chang, X. Liang. CVPR: 2018
  4. PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos
    D. Zhang, G. Guo, D. Huang, and J. Han. CVPR: 2018
  5. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
    N. Liu, J. Han, and M-H Yang. CVPR: 2018
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Updated on:2018-12-24 11:51      Total Visits:70985


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