- 骨架提取：
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W. Ke, J. Chen, J. Jiao, G. Zhao, and Q. Ye, “SRN: Side-output Residual Network for Object Symmetry Detection”. CVPR Oral, 2017.
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W. Ke, J. Chen and Q. Ye. “Deep contour and symmetry scored object proposal”. Pattern Recognition Letter”, 2019.
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C. Liu+, W. Ke+, F. Qin, and Q. Ye, “Linear Span Network for Object Skeleton Detection ”, ECCV, 2018.
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C. Liu, F. Wan, W. Ke, et al., “Orthogonal Decomposition Network For Pixel-wise Binary Classification”, CVPR, 2019.
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C. Liu, W. Ke, J. Jiao, and Q. Ye. “RSRN: Rich Side-output Residual Network for Medial Axis Detection”. ICCV Workshop on Detecting Symmetry in the Wild (Oral), 2017.
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C. Liu , D. Luo, Y. Zhang, W. Ke, et al., Parametric Skeleton Generation via Gaussian Mixture Models. CVPR Workshop on Deep Learning for Geometric Shape Understanding (Oral), 2019.
- 目标检测：
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W. Ke, T. Zhang, Z. Huang, Q. Ye, etc., "Multiple Anchor Learning for Visual Object Detection". CVPR, 2020.
- Z. Huang, W. Ke, and D. Huang. "Improving Object Detection with Inverted Attention". WACV, 2020.
- 行人检测：
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X. Chen, P. Wei, W. Ke, Q. Ye, and J. Jiao. “Pedestrian detection with deep convolutional neural network”. In: ACCV Workshops, pp. 354–365, 2014.
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W. Ke and Y. Zhang et al. “Pedestrian detection via PCA filters based convolutional channel features”. In: ICASSP, pp. 1394–1398, 2015.
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Q. Ye, T. Zhang, and W. Ke* et al. “Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model”. In: CVPR2017.
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Q. Ye, T. Zhang, and W. Ke*. "Progressive Latent Models for Self-learning Scene-specific Pedestrian Detectors". IEEE T-ITS, 2019.
- 行为识别：
- J. Chen, J. Liu, J. Liang, T. Hu, W. Ke, W. Barrios, D. Huang and A. G Hauptmann, “Minding the Gaps in a Video Action Analysis Pipeline”, IEEE Winter Applications of Computer Vision Workshops (WACVW), 2019.