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In crowd counting, each training image contains multiple people, where each person is annotated by a dot.
Estimation of number of people in crowded scenes using perspective transformation
Sheng-Fuu Lin, Jaw-Yeh Chen, and Hung-Xin Chao · 2001
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Peter L Bartlett and Shahar Mendelson · 2002
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Bayesian human segmentation in crowded situations
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Optimal transport: old and new , volume 338
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Bayesian poisson regression for crowd counting
Antoni B Chan and Nuno Vasconcelos · 2009
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Marked point processes for crowd counting
Weina Ge and Robert T Collins · 2009
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Feature mining for localised crowd counting
Ke Chen, Chen Change Loy, Shaogang Gong, and Tony Xiang · 2012
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Cumulative attribute space for age and crowd density estimation
Ke Chen, Shaogang Gong, Tao Xiang, and Chen Change Loy · 2013
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Multi-source multi-scale counting in extremely dense crowd images
Haroon Idrees, Imran Saleemi, Cody Seibert, and Mubarak Shah · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Deep people counting in extremely dense crowds
Chuan Wang, Hua Zhang, Liang Yang, Si Liu, and Xiaochun Cao · 2015
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Cross-scene crowd counting via deep convolutional neural networks
Cong Zhang, Hongsheng Li, Xiaogang Wang, and Xiaokang Yang · 2015
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Towards perspective-free object counting with deep learning
Daniel Onoro-Rubio and Roberto J López-Sastre · 2016
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Single-image crowd counting via multi-column convolutional neural network
Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, and Yi Ma · 2016
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Switching convolutional neural network for crowd counting
Deepak Babu Sam, Shiv Surya, and R. Venkatesh Babu · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Wasserstein generative adversarial networks
SC Martin Arjovsky and Leon Bottou · 2017
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Switching convolutional neural network for crowd counting
Deepak Babu Sam, Shiv Surya, and R Venkatesh Babu · 2017
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Cnn-based cascaded multi-task learning of high-level prior and density estimation for crowd counting
Vishwanath A Sindagi and Vishal M Patel · 2017
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Divide and grow: capturing huge diversity in crowd images with incrementally growing cnn
Deepak Babu, Neeraj Sajjan, VR Babu, and Mukundhan Srinivasan · 2018
Density map regression guided detection network for rgb-d crowd counting and localization
Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, and Shenghua Gao · 2019
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Bayesian loss for crowd count estimation with point supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong, and Yihong Gong · 2019
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Computational optimal transport
Gabriel Peyré, Marco Cuturi, et al · 2019
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Top-down feedback for crowd counting convolutional neural network
Deepak Babu Sam and R Venkatesh Babu · 2019
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Revisiting perspective information for efficient crowd counting
Miaojing Shi, Zhaohui Yang, Chao Xu, and Qijun Chen · 2019
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Padnet: Pan-density crowd counting
Yukun Tian, Yiming Lei, Junping Zhang, and James Z Wang · 2019
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Scale aggregation network for accurate and efficient crowd counting
Xinkun Cao, Zhipeng Wang, Yanyun Zhao, and Fei Su · 2018
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Computational optimal transport: Complexity by accelerated gradient descent is better than by sinkhorn’s algorithm
Pavel Dvurechensky, Alexander Gasnikov, and Alexey Kroshnin · 2018
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Composition loss for counting, density map estimation and localization in dense crowds
Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Maadeed, Nasir Rajpoot, and Mubarak Shah · 2018
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Where are the blobs: Counting by localization with point supervision
Issam H Laradji, Negar Rostamzadeh, Pedro O Pinheiro, David Vazquez, and Mark Schmidt · 2018
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Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes
Yuhong Li, Xiaofan Zhang, and Deming Chen · 2018
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Class-agnostic counting
Erika Lu, Weidi Xie, and Andrew Zisserman · 2018
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Adaptive density map generation for crowd counting
Jia Wan and Antoni Chan · 2019
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Residual regression with semantic prior for crowd counting
Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, and Wei Liu · 2019
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Learning from synthetic data for crowd counting in the wild
Qi Wang, Junyu Gao, Wei Lin, and Yuan Yuan · 2019
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From open set to closed set: Counting objects by spatial divide-and-conquer
Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, and Chunhua Shen · 2019
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Learn to scale: Generating multipolar normalized density maps for crowd counting
Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, and Xiang Bai · 2019
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Perspective-guided convolution networks for crowd counting
Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, and Errui Ding · 2019
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Wide-area crowd counting via ground-plane density maps and multi-view fusion cnns
Qi Zhang and Antoni B. Chan · 2019
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Leveraging heterogeneous auxiliary tasks to assist crowd counting
Muming Zhao, Jian Zhang, Chongyang Zhang, and Wenjun Zhang · 2019
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Uncertainty estimation and sample selection for crowd counting
Viresh Ranjan, Boyu Wang, Mubarak Shah, and Minh Hoai · 2020
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Nwpu-crowd: A large-scale benchmark for crowd counting
Qi Wang, Junyu Gao, Wei Lin, and Xuelong Li · 2020
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