暂无分享,去创建一个
Antoni B. Chan | Antoni B. Chan | Bo Liu | Yi Li | Zhirui Dai | Yuepeng Jiang | Nuno Vasconcelos | Yi Li | Yue-Ren Jiang | Bo Liu | Nuno Vasconcelos | Zhirui Dai
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Antoni B. Chan,et al. Incorporating Side Information by Adaptive Convolution , 2017, International Journal of Computer Vision.
[3] Xiaogang Wang,et al. Cross-scene crowd counting via deep convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Aaron Yelowitz,et al. Strong Social Distancing Measures In The United States Reduced The COVID-19 Growth Rate. , 2020, Health affairs.
[5] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[6] Dani Lischinski,et al. Crowds by Example , 2007, Comput. Graph. Forum.
[7] Yi Li,et al. Fully Convolutional Instance-Aware Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Bernt Schiele,et al. CityPersons: A Diverse Dataset for Pedestrian Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] 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.
[10] Greg Mori,et al. A Hierarchical Deep Temporal Model for Group Activity Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Alberto Del Bimbo,et al. Context-Aware Trajectory Prediction , 2017, 2018 24th International Conference on Pattern Recognition (ICPR).
[12] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[13] Silvio Savarese,et al. Social LSTM: Human Trajectory Prediction in Crowded Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Silvio Savarese,et al. SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Silvio Savarese,et al. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] M. Shah,et al. Abnormal crowd behavior detection using social force model , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Silvio Savarese,et al. Learning context for collective activity recognition , 2011, CVPR 2011.
[19] Luna Yue Huang,et al. The effect of large-scale anti-contagion policies on the COVID-19 pandemic , 2020, Nature.
[20] Roberto Cipolla,et al. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Abduallah A. Mohamed,et al. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] 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).
[24] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Hema Swetha Koppula,et al. Anticipating Human Activities Using Object Affordances for Reactive Robotic Response , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Jian Sun,et al. Instance-Aware Semantic Segmentation via Multi-task Network Cascades , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] 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.
[28] Luc Van Gool,et al. You'll never walk alone: Modeling social behavior for multi-target tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[29] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[30] Luc Van Gool,et al. Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings , 2010, ECCV.
[31] Simone Calderara,et al. Inter-Homines: Distance-Based Risk Estimation for Human Safety , 2020, ArXiv.
[32] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[33] Nuno Vasconcelos,et al. Cascade R-CNN: Delving Into High Quality Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[37] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[38] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[39] 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).
[40] Stan Sclaroff,et al. Learning Activity Progression in LSTMs for Activity Detection and Early Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] M. Jackson,et al. Guideline for isolation precautions: preventing transmission of infectious agents in healthcare settings 2007. , 2007 .
[42] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[43] Cewu Lu,et al. Recursive Social Behavior Graph for Trajectory Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Shiv Surya,et al. Switching Convolutional Neural Network for Crowd Counting , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Michael Goldblatt,et al. Aerobiology and Its Role in the Transmission of Infectious Diseases , 2013, Journal of pathogens.
[47] Haroon Idrees,et al. Multi-source Multi-scale Counting in Extremely Dense Crowd Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[48] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[49] W. F. Wells,et al. On Air-borne Infection. Study II. Droplets and Droplet Nuclei. , 1934 .
[50] Carmela Troncoso,et al. Decentralized Privacy-Preserving Proximity Tracing , 2020, IEEE Data Eng. Bull..
[51] Michael S. Ryoo,et al. Human activity prediction: Early recognition of ongoing activities from streaming videos , 2011, 2011 International Conference on Computer Vision.
[52] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[53] Fei Su,et al. Scale Aggregation Network for Accurate and Efficient Crowd Counting , 2018, ECCV.
[54] Frank Hutter,et al. Decoupled Weight Decay Regularization , 2017, ICLR.
[55] Nassir Navab,et al. Deeper Depth Prediction with Fully Convolutional Residual Networks , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[56] Greg Mori,et al. Social roles in hierarchical models for human activity recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[57] Martial Hebert,et al. Activity Forecasting , 2012, ECCV.
[58] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[59] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[60] Luis E. Ortiz,et al. Who are you with and where are you going? , 2011, CVPR 2011.
[61] Wei Liu,et al. High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Noel E. O'Connor,et al. Fully Convolutional Crowd Counting on Highly Congested Scenes , 2016, VISIGRAPP.
[63] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[64] Silvio Savarese,et al. Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes , 2016, ECCV.
[65] Robert C. Bolles,et al. Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching , 1977, IJCAI.
[66] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[67] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Guanbin Li,et al. Crowd Counting With Deep Structured Scale Integration Network , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[69] R. Fouchier,et al. Transmission routes of respiratory viruses among humans , 2018, Current Opinion in Virology.