
Person video alignment with human pose registration
Yu ZHANG, Zihua WANG, Jingyang ZHOU, Siya MI
Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (4) : 174324.
Person video alignment with human pose registration
[1] |
Gao C, Chen Y, Yu J G, Sang N . Pose-guided spatiotemporal alignment for video-based person re-identification. Information Sciences, 2020, 527: 176–190
|
[2] |
Sun J J, Zhao J, Chen L C, Schroff F, Adam H, Liu T. View-invariant probabilistic embedding for human pose. In: Proceedings of the 16th European Conference on Computer Vision. 2020, 53−70
|
[3] |
Dwibedi D, Aytar Y, Tompson J, Sermanet P, Zisserman A. Temporal cycle-consistency learning. In: Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019, 1801−1810
|
[4] |
Chen Y, Huang T, Niu Y, Ke X, Lin Y . Pose-guided spatial alignment and key frame selection for one-shot video-based person re-identification. IEEE Access, 2019, 7: 78991–79004
|
[5] |
Petric Maretic H, El Gheche M, Chierchia G, Frossard P. GOT: an optimal transport framework for graph comparison. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems. 2019, 1245
|
[6] |
Zhu L, Fan H, Luo Y, Xu M, Yang Y . Few-shot common-object reasoning using common-centric localization network. IEEE Transactions on Image Processing, 2021, 30: 4253–4262
|
[7] |
Wu L, Wang Y, Shao L . Cycle-consistent deep generative hashing for cross-modal retrieval. IEEE Transactions on Image Processing, 2019, 28( 4): 1602–1612
|
[8] |
Wang X, Jabri A, Efros A A. Learning correspondence from the cycle-consistency of time. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019, 2561−2571
|
[9] |
Zhi Y, Tong Z, Wang L, Wu G. MGSampler: an explainable sampling strategy for video action recognition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021, 1513−1522
|
[10] |
Fang H S, Xie S, Tai Y W, Lu C. RMPE: regional multi-person pose estimation. In: Proceedings of the IEEE International Conference on Computer Vision. 2017, 2353−2362
|
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|
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