Author:
Wu Wenhao,Wu Si,Wong Hau-San
Publisher
Springer Nature Switzerland
Reference44 articles.
1. Brazil, G., Yin, X., Liu, X.: Illuminating pedestrians via simultaneous detection & segmentation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4950–4959 (2017)
2. Lecture Notes in Computer Science;Z Cai,2016
3. Chen, Z., Ouyang, W., Liu, T., Tao, D.: A shape transformation-based dataset augmentation framework for pedestrian detection. Int. J. Comput. Vis. 129(4), 1121–1138 (2021)
4. Cheung, E., Wong, A., Bera, A., Manocha, D.: Mixedpeds: Pedestrian detection in unannotated videos using synthetically generated human-agents for training. Proc. AAAI Conf. Artif. Intell. 32(1) (2018)
5. Chi, C., Zhang, S., Xing, J., Lei, Z., Li, S.Z., Zou, X.: PedHunter: occlusion robust pedestrian detector in crowded scenes. Proc. AAAI Conf. Artif. Intell. 34(07), 10639–10646 (2020)