Greg Olmschenk, Jin Chen, Hao Tang, Zhigang Zhu. Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. Computer Vision Foundation / IEEE, 2019. [doi]
@inproceedings{OlmschenkCTZ19,
title = {Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks},
author = {Greg Olmschenk and Jin Chen and Hao Tang and Zhigang Zhu},
year = {2019},
url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/Weakly_Supervised_Learning_for_RealWorld_Computer_Vision_Applications/Olmschenk_Dense_Crowd_Counting_Convolutional_Neural_Networks_with_Minimal_Data_using_CVPRW_2019_paper.html},
researchr = {https://researchr.org/publication/OlmschenkCTZ19},
cites = {0},
citedby = {0},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
publisher = {Computer Vision Foundation / IEEE},
}