暂无分享,去创建一个
[1] Guoyan Zheng,et al. Crowd Counting with Deep Negative Correlation Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] 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).
[3] Shiv Surya,et al. Switching Convolutional Neural Network for Crowd Counting , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Michel Bierlaire,et al. Discrete Choice Models for Pedestrian Walking Behavior , 2006 .
[5] Xiaogang Wang,et al. Cross-scene crowd counting via deep convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Silvio Savarese,et al. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Silvio Savarese,et al. Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Yann LeCun,et al. Deep multi-scale video prediction beyond mean square error , 2015, ICLR.
[9] Xiaogang Wang,et al. L0 Regularized Stationary Time Estimation for Crowd Group Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Dinesh Manocha,et al. Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking , 2014, IEEE Transactions on Circuits and Systems for Video Technology.
[11] Sergey Levine,et al. Stochastic Variational Video Prediction , 2017, ICLR.
[12] Nanning Zheng,et al. SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Dinesh Manocha,et al. Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.
[14] Roberto Cipolla,et al. Unsupervised Bayesian Detection of Independent Motion in Crowds , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[15] Fei Su,et al. Scale Aggregation Network for Accurate and Efficient Crowd Counting , 2018, ECCV.
[16] Xiaogang Wang,et al. Pedestrian Behavior Understanding and Prediction with Deep Neural Networks , 2016, ECCV.
[17] Xiaogang Wang,et al. Understanding pedestrian behaviors from stationary crowd groups , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[19] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[20] Serge J. Belongie,et al. Counting Crowded Moving Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[21] Alexei A. Efros,et al. Time-Agnostic Prediction: Predicting Predictable Video Frames , 2018, ICLR.
[22] Luis E. Ortiz,et al. Who are you with and where are you going? , 2011, CVPR 2011.
[23] Thomas Brox,et al. Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Haroon Idrees,et al. Multi-source Multi-scale Counting in Extremely Dense Crowd Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Bernhard Schölkopf,et al. Flexible Spatio-Temporal Networks for Video Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Yihong Gong,et al. Bayesian Loss for Crowd Count Estimation With Point Supervision , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[27] Dinesh Manocha,et al. BRVO: Predicting pedestrian trajectories using velocity-space reasoning , 2015, Int. J. Robotics Res..
[28] Eric P. Xing,et al. Dual Motion GAN for Future-Flow Embedded Video Prediction , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[29] Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
[30] Shaogang Gong,et al. Cumulative Attribute Space for Age and Crowd Density Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Kris M. Kitani,et al. Forecasting Interactive Dynamics of Pedestrians with Fictitious Play , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Andrew Zisserman,et al. Learning To Count Objects in Images , 2010, NIPS.
[33] Gabriel Kreiman,et al. Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning , 2016, ICLR.
[34] 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.
[35] Shenghua Gao,et al. Future Frame Prediction for Anomaly Detection - A New Baseline , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Martial Hebert,et al. The Pose Knows: Video Forecasting by Generating Pose Futures , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[37] Xiaogang Wang,et al. Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[39] Shaogang Gong,et al. Feature Mining for Localised Crowd Counting , 2012, BMVC.
[40] Ramakant Nevatia,et al. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[41] Bernt Schiele,et al. Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[42] 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.
[43] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[44] 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).
[45] Qijun Zhao,et al. Point in, Box Out: Beyond Counting Persons in Crowds , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Antoni B. Chan,et al. Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Counting, Detection, and Tracking , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[47] Xiaogang Wang,et al. Deeply learned attributes for crowded scene understanding , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Andrew Zisserman,et al. Interactive Object Counting , 2014, ECCV.
[49] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Xiaogang Wang,et al. Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories , 2016, IEEE Transactions on Multimedia.
[51] Jia Pan,et al. Deep-Learned Collision Avoidance Policy for Distributed Multiagent Navigation , 2016, IEEE Robotics and Automation Letters.
[52] 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.
[53] Xiaogang Wang,et al. Coherent Filtering: Detecting Coherent Motions from Crowd Clutters , 2012, ECCV.
[54] Xiaogang Wang,et al. Measuring Crowd Collectiveness , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Silvio Savarese,et al. Social LSTM: Human Trajectory Prediction in Crowded Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Ying Nian Wu,et al. Multi-Agent Tensor Fusion for Contextual Trajectory Prediction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).