http://blog.csdn.net/column/details/17456.html
1、2015CVPR：Cong Zhang, Hongsheng Li, Xiaogang Wang, and Xiaokang Yang. Cross-scene crowd counting via deep convolutional neural networks. InProceedings of the IEEE Conference on Computer Vision and Pattern
Recognition, pages 833–841, 2015.
2、2016CVPR:Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, and Yi Ma. Single-image crowd counting via multi-column convolutional neural network. InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 589–597, 2016.
3\2016 ECCV:Daniel Onoro-Rubio and Roberto J Lopez-Sastre. To-wards perspective-free object counting with deep learning. InEuropean Conference on Computer Vision, pages 615–629. Springer, 2016
4\2016ACM: Lokesh Boominathan, Srinivas SS Kruthiventi, and R Venkatesh Babu. Crowdnet: A deep convolutional
network for dense crowd counting. In Proceedings of the 2016 ACM on Multimedia Conference, pages 640– 644. ACM, 2016.
5\2016ICIP:Shang C, Ai H, Bai B. End-to-end crowd counting via joint learning local and global count[C]// IEEE International Conference on Image Processing. IEEE, 2016:1215-1219.
6\2016ECCV :Elad Walach and Lior Wolf. Learning to count with cnn boosting. InEuropean Conference on Computer Vision, pages 660–676. Springer, 2016.
7\2016ECCV :Zhao Z, Li H, Zhao R, et al. Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks[J]. 2016.
8.2017CVPR:Switching Convolutional Neural Network for Crowd Counting
iccv2017: Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
9.2017：Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks
10ARVIX:Multi-scale Convolutional Neural Networks for Crowd Counting
11\VISAPP 2017:Fully Convolutional Crowd Counting On Highly Congested Scenes
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
ResnetCrowd: A Residual Deep Learning Architecture
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
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