基本信息

 

柯炜  副教授，博士生导师

入选陕西省高层次人才青年项目

入选西安交通大学青年拔尖人才支持计划

入选西安交通大学“思源学者”引才计划

入选西安交通大学“小米学者”

 

研究兴趣为计算机视觉与机器学习。

 

GitHub   Google Scholar

招生信息

近三年没有博士生指标，谢谢大家厚爱！

 

每年可招收计算机科学与技术学术型硕士和软件工程专业型硕士。不定期会招收计算机科学与技术专业博士。

 

有意者请邮件联系:

wei.ke[AT] mail.xjtu.edu.cn

 

I'm sorry that there is no position for international students right now in my team.

 

我的院外合作导师每年各自有1个统考指标，欢迎大家联系他们。具体信息如下

李吉亮 教授，网安空间安全学院，jiliang.li[at]xjtu.edu.cn，研究方向：AI安全

许翔宇 教授，数学学院，xuxiangyu2014[at]gmail.com，研究方向：计算机视觉

王治国 教授，数学学院，emailwzg[at]mail.xjtu.edu.cn，研究方向：地学大数据

 

 

 

联系方式

西安交通大学(曲江校区)西四楼

西部科技创新港四号巨构

Email: wei.ke[at]mail.xjtu.edu.cn

 

学术论文

学术成果：在视觉目标感知与行为识别方向进行了长期研究。在CVPR，ECCV，IEEE Transactions等知名期刊和会议上共（合作）发表论文30余篇，其中包括CVPR Oral论文2篇(接受率分别为2.6%和5.6%)。由谷歌学术统计，其所发表论文在五年时间内H指数为15。

 

Google Scholar 查看完整列表

 

 

  1. Y. Wu, T. Zhang, W. Ke*,S. Süsstrunk, M. Salzmann. Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Poject Page]

  2. Q. Liu#, H. Liu#, W. Ke*, Y. Liang*. Automated Lesion Segmentation in Fundus Images with Many-to-Many Reassembly of Features. Pattern Recognition, 2022.  

  3. Z. Zhang#, Y. Zhu#, J. Liu, X. Liang,  W. Ke*. CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. NeurIPS, 2022.  

  4. T. Zhang, C. Qiu, W. Ke*, S. Süsstrunk, M. Salzmann. Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.  

  5. Y. He, Z. Ma, X. Wei, X. Hong, W. Ke, Y. Gong. Error-aware density isomorphism reconstruction for unsupervised cross-domain crowd counting. The AAAI Conference on Artificial Intelligence (AAAI), 2021. 

  6. X. Wei, D. Li, X. Hong, W. Ke, Y. Gong. Co-attentive lifting for infrared-visible person re-identification. ACM International Conference on Multimedia, 2020.

  7. Z. Luo, D. Guillory, B Shi, W. Ke, F. Wan, T. Darrell, H. Xu. Weakly-supervised action localization with expectation-maximization multi-instance learning. European Conference on Computer Vision (ECCV), 2020

  8. W. Ke#, T. Zhang#, Z, Huang, Q. Ye*, J. Liu, and D. Huang. Multiple Anchor Learning for Visual Object Detection.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [arXiv] [code]
  9. W. Ke, J, Chen, J. Jiao, G. Zhao, and Q. Ye*. SRN: Side-output Residual Network for Object Reflectional Symmetry Detection and Beyond. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2020. [EarlyAccess pdf]
  10. Q. Ye, T. Zhang, and W. Ke*. Progressive Latent Models for Self-learning Scene-specific Pedestrian Detectors. IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 21, no. 4, pp. 1415-1426, 2020. [pdf]
  11. Z. Huang, W. Ke, and D. Huang. Improving Object Detection with Inverted Attention. IEEE Winter Conference on Applications of Computer Vision (WACV), 1294-1302, 2020. [arXiv] [pdf]
  12. W. Ke, J, Chen, and Q. Ye. Deep Contour and Symmetry Scored Object Proposal. Pattern Recognition Letters vol. 119, pp. 172-179, 2019. [pdf]
  13. F. Wan, C. Liu, W. Ke, et al. C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR oral), 2199-2208, 2019. [pdf]
  14. C. Liu, F. Wan, W. Ke, et al. Orthogonal Decomposition Network for Pixel-Wise Binary Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6064-6073, 2019. [pdf]
  15. C. Liu#, W. Ke#, F. Qin, and Q. Ye. Linear Span Network for Object Skeleton Detection. European Conference on Computer Vision (ECCV), 133-148, 2018. [pdf]
  16. W. Ke, J, Chen, J. Jiao, G. Zhao, and Q. Ye. SRN: Side-output Residual Network for Object Symmetry Detection in the Wild. IEEE Conference on Computer Vision and Pattern Recognition (CVPR oral), 1068-1076, 2017. [pdf] [code and dataset] [video]
  17. Q. Ye, T. Zhang, W. Ke*, et al. Self-learning Scene-specific Pedestrian Detectors Using a Progressive Latent Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 509-518, 2017. [pdf] [poster]
  18. W. Ke, Y. Zhang, P. Wei, Q. Ye and J. Jiao. Pedestrian Detection via PCA Filters Based Convolutional Channel Features. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1394-1398, 2015. [pdf]

 

推荐国际期刊和会议列表（拷贝于西安电子科技大学高新波教授）

国际期刊：

Impact Factor 2019 Impact Factor 2019
IEEE Trans. Pattern Analysis and Machine Intelligence: 17.730 International Journal of Computer Vision: 6.071
IEEE Trans. Neural Networks and Learning Systems: 11.683 IEEE Trans. Cybernetics: 10.387
IEEE Trans. Image Processing: 6.790 IEEE Trans. Information Forensics and Security: 6.211
IEEE Trans. Geoscience and Remote Sensing: 5.630 IEEE Trans. Multimedia: 5.452
IEEE Trans. Circuits and Systems for Video Technology: 4.046 ACM Trans. on Intelligent Systems and Technology: 2.862
IEEE Trans. Information Technology in Biomedicine: 1.978 IEEE Trans. on Aerospace and Electronic Systems: 2.797
IEEE Transactions on Systems Man Cybernetics-Systems: 7.351 IEEE Multimedia: 3.556
IEEE Signal Processing Letters: 3.268 Information Science: 4.832
Pattern Recognition: 5.898 Pattern Recognition Letters: 2.810
Optics Express: 3.561 Pattern Analysis and Applications: 1.410
Neurocomputing: 4.072 Signal Processing: 4.086
International Journal of Fuzzy Systems: 3.085 Journal of Biomedical Optics: 2.555
IEEE Trans. Consume Electronics: 1.694 Computerized Medical Imaging and Graphics: 3.298
Computer Vision and Image Understanding: 2.645 Theoretical Computer Science: 0.718

 

 国际会议：

 Level A Level B
CVPR: IEEE Conference on Computer Vision and Pattern Recognition ICMR: ACM SIGMM International Conference on Multimedia Retrieval
ICCV: International Conference on Computer Vision ICME: IEEE International Conference on Multimedia &Expo
ACM MM: ACM International Conference on Multimedia ECCV: European Conference on Computer Vision
IJCAI: International Joint Conference on Artificial Intelligence ICDM: IEEE International Conference on Data Mining
ICML: International Conference on Machine Learning WWW: International World Wide Web Conferences
AAAI: AAAI Conference on Artificial Intelligence NIPS: Annual Conference on Neural Information Processing Systems
SIGKDD: ACM Knowledge Discovery and Data Mining COLT: Annual Conference on Computational Learning Theory