Funder
national natural science foundation of beijing
national natural science foundation of china
innovation fund for industry, education and research, science and technology development center, ministry of education
Publisher
Springer Science and Business Media LLC
Reference48 articles.
1. Bahmanyar R, Vig E, Reinartz P (2019) Mrcnet: Crowd counting and density map estimation in aerial and ground imagery. arXiv preprint arXiv:1909.12743
2. Chen X, Bin Y, Gao C, Sang N, Tang H (2020) Relevant region prediction for crowd counting. Neurocomputing
3. Sindagi V, Yasarla R, Patel VM (2020) Jhu-crowd++: Large-scale crowd counting dataset and a benchmark method. IEEE Trans Patt Anal Mach Intell
4. Wang Q, Gao J, Lin W, Yuan Y (2021) Pixel-wise crowd understanding via synthetic data. Int J Comput Vis 129(1):225–245
5. Fang Y, Gao S, Li J, Luo W, He L, Hu B (2020) Multi-level feature fusion based locality-constrained spatial transformer network for video crowd counting. Neurocomputing 392:98–107
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献