Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors
暂无分享,去创建一个
[1] M. Pavone,et al. Motron: Multimodal Probabilistic Human Motion Forecasting , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Di-Hua Zhai,et al. DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction , 2021, ArXiv.
[3] Zhenguang Liu,et al. Learning Human Motion Prediction via Stochastic Differential Equations , 2021, ACM Multimedia.
[4] Fabio Galasso,et al. Space-Time-Separable Graph Convolutional Network for Pose Forecasting , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] Zhenguang Liu,et al. Motion Prediction using Trajectory Cues , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[6] Mathieu Salzmann,et al. Generating Smooth Pose Sequences for Diverse Human Motion Prediction , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[7] Ruben Villegas,et al. Stochastic Scene-Aware Motion Prediction , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] Yongwei Nie,et al. MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[9] T. Komura,et al. Neural animation layering for synthesizing martial arts movements , 2021, ACM Trans. Graph..
[10] Huaijiang Sun,et al. Towards Accurate 3D Human Motion Prediction from Incomplete Observations , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Alexandre Alahi,et al. Interpretable Social Anchors for Human Trajectory Forecasting in Crowds , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Bolei Zhou,et al. Multimodal Motion Prediction with Stacked Transformers , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Michael J. Black,et al. We are More than Our Joints: Predicting how 3D Bodies Move , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] D. Matteson,et al. Probabilistic Transformer For Time Series Analysis , 2021, NeurIPS.
[15] Pascal Fua,et al. Motion Prediction Using Temporal Inception Module , 2020, ACCV.
[16] Andrew Zisserman,et al. Memory-augmented Dense Predictive Coding for Video Representation Learning , 2020, ECCV.
[17] Mathieu Salzmann,et al. History Repeats Itself: Human Motion Prediction via Motion Attention , 2020, ECCV.
[18] Michiel van de Panne,et al. Character controllers using motion VAEs , 2020, ACM Trans. Graph..
[19] Minh Vo,et al. Long-term Human Motion Prediction with Scene Context , 2020, ECCV.
[20] Kris Kitani,et al. Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis , 2020, NeurIPS.
[21] Lars Petersson,et al. A Stochastic Conditioning Scheme for Diverse Human Motion Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Huaijiang Sun,et al. Learning Dynamic Relationships for 3D Human Motion Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Nicolas Usunier,et al. End-to-End Object Detection with Transformers , 2020, ECCV.
[24] Kris M. Kitani,et al. DLow: Diversifying Latent Flows for Diverse Human Motion Prediction , 2020, ECCV.
[25] Yanfeng Wang,et al. Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Freddy A. Boulton,et al. CoverNet: Multimodal Behavior Prediction Using Trajectory Sets , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Kris Kitani,et al. Diverse Trajectory Forecasting with Determinantal Point Processes , 2019, ICLR.
[28] Francesc Moreno-Noguer,et al. Context-Aware Human Motion Prediction , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[30] Benjamin Sapp,et al. MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction , 2019, CoRL.
[31] Otmar Hilliges,et al. Structured Prediction Helps 3D Human Motion Modelling , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[32] Juan Carlos Niebles,et al. Imitation Learning for Human Pose Prediction , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Hongdong Li,et al. Learning Trajectory Dependencies for Human Motion Prediction , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[34] Jitendra Malik,et al. Predicting 3D Human Dynamics From Video , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[35] Kris Kitani,et al. Ego-Pose Estimation and Forecasting As Real-Time PD Control , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[36] Francesc Moreno-Noguer,et al. Human Motion Prediction via Spatio-Temporal Inpainting , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[37] R. Venkatesh Babu,et al. BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN , 2018, AAAI.
[38] Henggang Cui,et al. Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[39] José M. F. Moura,et al. Teaching Robots to Predict Human Motion , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[40] José M. F. Moura,et al. Few-Shot Human Motion Prediction via Meta-learning , 2018, ECCV.
[41] José M. F. Moura,et al. Adversarial Geometry-Aware Human Motion Prediction , 2018, ECCV.
[42] Ersin Yumer,et al. MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics , 2018, ECCV.
[43] Bernt Schiele,et al. Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[44] Danica Kragic,et al. Anticipating Many Futures: Online Human Motion Prediction and Generation for Human-Robot Interaction , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[45] Kai Oliver Arras,et al. Joint Long-Term Prediction of Human Motion Using a Planning-Based Social Force Approach , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[46] Zhen Zhang,et al. Convolutional Sequence to Sequence Model for Human Dynamics , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[47] Xiao Lin,et al. Human Motion Modeling using DVGANs , 2018, ArXiv.
[48] Yaser Sheikh,et al. Structure from Recurrent Motion: From Rigidity to Recurrency , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[49] Vladlen Koltun,et al. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling , 2018, ArXiv.
[50] Zicheng Liu,et al. HP-GAN: Probabilistic 3D Human Motion Prediction via GAN , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[51] Zhanxing Zhu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017, IJCAI.
[52] Taku Komura,et al. Phase-functioned neural networks for character control , 2017, ACM Trans. Graph..
[53] Ravi Kiran Sarvadevabhatla,et al. DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Michael J. Black,et al. On Human Motion Prediction Using Recurrent Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Przemyslaw A. Lasota,et al. A multiple-predictor approach to human motion prediction , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[56] Martial Hebert,et al. The Pose Knows: Video Forecasting by Generating Pose Futures , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[57] Scott Cohen,et al. Forecasting Human Dynamics from Static Images , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Danica Kragic,et al. Deep Representation Learning for Human Motion Prediction and Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[60] Murray Shanahan,et al. Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders , 2016, ArXiv.
[61] Taku Komura,et al. A Deep Learning Framework for Character Motion Synthesis and Editing , 2016, ACM Trans. Graph..
[62] Emilio Frazzoli,et al. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles , 2016, IEEE Transactions on Intelligent Vehicles.
[63] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[64] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Hema Swetha Koppula,et al. Anticipating Human Activities Using Object Affordances for Reactive Robotic Response , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[66] Jitendra Malik,et al. Recurrent Network Models for Human Dynamics , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[67] Shakir Mohamed,et al. Variational Inference with Normalizing Flows , 2015, ICML.
[68] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[69] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[70] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[71] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[72] Hema Swetha Koppula,et al. Anticipating human activities for reactive robotic response , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[73] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[74] Geoffrey E. Hinton,et al. Generating Text with Recurrent Neural Networks , 2011, ICML.
[75] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[76] Kai Oliver Arras,et al. People tracking with human motion predictions from social forces , 2010, 2010 IEEE International Conference on Robotics and Automation.
[77] Michael J. Black,et al. HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.