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State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density.
Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors
Bo Wu and Ram Nevatia · 2005
Earlier work this paper cites.
Unsupervised Bayesian Detection of Independent Motion in Crowds
Gabriel J. Brostow and Roberto Cipolla · 2006
Earlier work this paper cites.
Counting Crowded Moving Objects
Vincent Rabaud and Serge Belongie · 2006
Earlier work this paper cites.
Privacy Preserving Crowd Monitoring: Counting People Without People Models or Tracking
Antoni B. Chan, Zhang-Sheng John Liang, and Nuno Vasconcelos · 2008
Earlier work this paper cites.
Bayesian Poisson Regression for Crowd Counting
Antoni B. Chan and Nuno Vasconcelos · 2009
Earlier work this paper cites.
Learning to Count Objects in Images
Victor Lempitsky and Andrew Zisserman · 2010
Earlier work this paper cites.
Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching
Zhe Lin and Larry S. Davis · 2010
Earlier work this paper cites.
Airport Detection in Remote Sensing Images Based on Visual Attention
Xin Wang, Bin Wang, and Liming Zhang · 2011
Earlier work this paper cites.
Feature Mining for Localised Crowd Counting
Ke Chen, Chen Change Loy, Shaogang Gong, and Tao Xiang · 2012
Earlier work this paper cites.
Learning to Count with Regression Forest and Structured Labels
Luca Fiaschi, Rahul Nair, Ullrich Koethe, and Fred A. Hamprecht · 2012
Earlier work this paper cites.
Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images
Haroon Idrees, Imran Saleemi, Cody Seibert, and Mubarak Shah · 2013
Earlier work this paper cites.
Interactive Object Counting
Carlos Arteta, Victor Lempitsky, J.Alison Noble, and Andrew Zisserman · 2014
Earlier work this paper cites.
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2014
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Segnet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2015
Earlier work this paper cites.
Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2015
Cited alongside, same era.
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks
Cong Zhang, Hongsheng Li, Xiaogang Wang, and Xiaokang Yang · 2015
Cited alongside, same era.
Counting in the Wild
Carlos Arteta, Victor Lempitsky, and Andrew Zisserman · 2016
Cited alongside, same era.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs
Vishwanath A. Sindagi and Vishal M. Patel · 2017
Later among the works it cites.
Spatiotemporal Modeling for Crowd Counting in Videos
Feng Xiong, Xinjian Shi, and Dit-Yan Yeung · 2017
Later among the works it cites.
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Later among the works it cites.
Scale Aggregation Network for Accurate and Efficient Crowd Counting
Xinkun Cao, Zhipeng Wang, Yanyun Zhao, and Fei Su · 2018
Closest in time.
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
Closest in time.
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SSD: Single Shot Multibox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, and Alexander C. Berg · 2016
Cited alongside, same era.
Towards Perspective-Free Object Counting with Deep Learning
Daniel Onoro-Rubio and Roberto J. López-Sastre · 2016
Cited alongside, same era.
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, and Yi Ma · 2016
Cited alongside, same era.
Counting Everyday Objects in Everyday Scenes
Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaju, Dhruv Batra, and Devi Parikh · 2017
Cited alongside, same era.
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger · 2017
Cited alongside, same era.
Incorporating Side Information by Adaptive Convolution
Di Kang, Debarun Dhar, and Antoni B. Chan · 2017
Cited alongside, same era.
Di Kang and Antoni B. Chan · 2018
Closest in time.
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li, Xiaofan Zhang, and Deming Chen · 2018
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Decidenet: Counting Varying Density Crowds through Attention Guided Detection and Density Estimation
Jiang Liu, Chenqiang Gao, Deyu Meng, and Alexander G. Hauptmann1 · 2018
Closest in time.
Crowd Counting Using Deep Recurrent Spatial-Aware Network
Linbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, and Liang Lin · 2018
Closest in time.
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Xialei Liu, Joost van de Weijer, and Andrew D. Bagdanov · 2018
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Iterative Crowd Counting
Viresh Ranjan, Hieu Le, and Minh Hoai · 2018
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Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, and Mukundhan Srinivasan · 2018
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Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, and Xiaokang Yang · 2018
Closest in time.
Crowd Counting with Deep Negative Correlation Learning
Zenglin Shi, Le Zhang, Yun Liu, and Xiaofeng Cao · 2018
Closest in time.