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[1] Shaogang Gong,et al. Feature Mining for Localised Crowd Counting , 2012, BMVC.
[2] Jitendra Malik,et al. Learning a Multi-View Stereo Machine , 2017, NIPS.
[3] Antoni B. Chan,et al. Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid , 2018, BMVC.
[4] Shenghua Gao,et al. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Shiv Surya,et al. Switching Convolutional Neural Network for Crowd Counting , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Haroon Idrees,et al. Multi-source Multi-scale Counting in Extremely Dense Crowd Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Lei Huang,et al. People Counting across Multiple Cameras for Intelligent Video Surveillance , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.
[8] Xiaogang Wang,et al. Cross-scene crowd counting via deep convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Silvio Savarese,et al. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction , 2016, ECCV.
[10] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Antoni B. Chan,et al. Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Charles X. Ling,et al. A Reliable People Counting System via Multiple Cameras , 2012, TIST.
[13] Yadong Mu,et al. Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Qijun Chen,et al. Revisiting Perspective Information for Efficient Crowd Counting , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Hong-Yuan Mark Liao,et al. Cross-Camera Knowledge Transfer for Multiview People Counting , 2015, IEEE Transactions on Image Processing.
[16] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[17] Luiz Eduardo Soares de Oliveira,et al. People Counting in Crowded and Outdoor Scenes using an Hybrid Multi-Camera Approach , 2017, ArXiv.
[18] Pascal Fua,et al. Context-Aware Crowd Counting , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Srinivas S. Kruthiventi,et al. CrowdNet: A Deep Convolutional Network for Dense Crowd Counting , 2016, ACM Multimedia.
[20] Robert T. Collins,et al. Crowd Detection with a Multiview Sampler , 2010, ECCV.
[21] Sridha Sridharan,et al. Scene invariant multi camera crowd counting , 2014, Pattern Recognit. Lett..
[22] Yuhong Li,et al. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Honglak Lee,et al. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision , 2016, NIPS.
[24] Shenghua Gao,et al. Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Wei Lin,et al. Learning From Synthetic Data for Crowd Counting in the Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Lucia Maddalena,et al. People counting by learning their appearance in a multi-view camera environment , 2014, Pattern Recognit. Lett..
[27] Antonio Torralba,et al. Parsing IKEA Objects: Fine Pose Estimation , 2013, 2013 IEEE International Conference on Computer Vision.
[28] Abhinav Gupta,et al. Learning a Predictable and Generative Vector Representation for Objects , 2016, ECCV.
[29] Narendra Ahuja,et al. DeepMVS: Learning Multi-view Stereopsis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[30] Haroon Idrees,et al. Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds , 2018, ECCV.
[31] J. Ferryman,et al. PETS2009: Dataset and challenge , 2009, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.
[32] Fei Su,et al. Scale Aggregation Network for Accurate and Efficient Crowd Counting , 2018, ECCV.
[33] Shengcai Liao,et al. Person re-identification by Local Maximal Occurrence representation and metric learning , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Hieu Le,et al. Iterative Crowd Counting , 2018, ECCV.
[35] Nuno Vasconcelos,et al. Privacy preserving crowd monitoring: Counting people without people models or tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Victor Lempitsky,et al. Learnable Triangulation of Human Pose , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[37] Ling Shao,et al. Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Deyu Meng,et al. DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[39] Antoni B. Chan,et al. Incorporating Side Information by Adaptive Convolution , 2017, International Journal of Computer Vision.
[40] Bingbing Ni,et al. Crowd Counting via Adversarial Cross-Scale Consistency Pursuit , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Vishal M. Patel,et al. Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[43] Daniel Oñoro-Rubio,et al. Towards Perspective-Free Object Counting with Deep Learning , 2016, ECCV.
[44] Francesco Solera,et al. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking , 2016, ECCV Workshops.