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。

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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）

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