Convolutional Sequence to Sequence Model for Human Dynamics

Li, Chen, Zhang, Zhen, Lee, Wee Sun, Lee, Gim Hee·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Cited by (364)

Items 101–200 of 364

  1. Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints
    Jia-Chen Li, Xin Shi, Feiyu Chen, Jonathan C. Stroud, Zhishuai Zhang, Tian Lan, Jun-Hua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang et al. · 2023 · IEEE International Conference on Robotics and Automation
  2. Joint-Relation Transformer for Multi-Person Motion Prediction
    Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  3. Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis
    Adrian Derungs, Oliver Amft · 2020 · Scientific Reports
  4. Recent advances in deterministic human motion prediction: A review
    Tenghao Deng, Yan Sun · 2024 · Image and Vision Computing
  5. Laying the Foundations of Deep Long-Term Crowd Flow Prediction
    Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlović, Mubbasir Kapadia · 2020 · Lecture notes in computer science
  6. A dual attention model based on probabilistically mask for 3D human motion prediction
    Wenming Cao, Shuangshuang Li, Jianqi Zhong · 2022 · Neurocomputing
  7. Skeleton-Based Human Motion Prediction With Privileged Supervision
    Minjing Dong, Chang Xu · 2022 · IEEE Transactions on Neural Networks and Learning Systems
  8. Predicting human poses via recurrent attention network
    Jianwei Tang, Jieming Wang, Jian–Fang Hu · 2023 · Visual Intelligence
  9. 3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks
    Mayank Lovanshi, Vivek Tiwari, Swati Jain · 2023 · IEEE Transactions on Emerging Topics in Computational Intelligence
  10. Machine Learning Approaches for Motor Learning: A Short Review
    Baptiste Caramiaux, Jules Françoise, Wanyu Liu, Téo Sanchez, Frederic P. Bevilacqua · 2020 · Frontiers in Computer Science
  11. Perpetual Motion: Generating Unbounded Human Motion
    Yan Zhang, Michael J. Black, Siyu Tang · 2020 · arXiv (Cornell University)
  12. Human motion modeling with deep learning: A survey
    Zijie Ye, Haozhe Wu, Jia Jia · 2021 · AI Open
  13. Transformer based network for Open Information Extraction
    Jiabao Han, Hongzhi Wang · 2021 · Engineering Applications of Artificial Intelligence
  14. Learning Multiscale Correlations for Human Motion Prediction
    Honghong Zhou, Caili Guo, Hao Zhang, Yanjun Wang · 2021 · IEEE International Conference on Development and Learning (ICDL)
  15. HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction
    Omar Medjaouri, Kevin Desai · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  16. STTG-net: a Spatio-temporal network for human motion prediction based on transformer and graph convolution network
    Lujing Chen, Rui Liu, Xin She Yang, Dongsheng Zhou, Qiang Zhang, Xiaopeng Wei · 2022 · Visual Computing for Industry Biomedicine and Art
  17. Class-guided human motion prediction via multi-spatial-temporal supervision
    Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu · 2023 · Neural Computing and Applications
  18. Dynamic Future Net
    Wenheng Chen, He Wang, Yi Yuan, Tianjia Shao, Kun Zhou · 2020 · ACM International Conference on Multimedia (ACM MM)
  19. Trajevae: Controllable Human Motion Generation from Trajectories
    Kacper Kania, Marek Kowalski, T. P. Trzcinski · 2022 · SSRN Electronic Journal
  20. DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback
    Xiaoning Sun, Huaijiang Sun, Bin Li, Wei Fu Dong, Weiqing Li, Jianfeng Lu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  21. Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
    Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  22. CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
    Jiarui Sun, Girish Vinayak Chowdhary · 2024 · Lecture notes in computer science
  23. Learning disentangled representations for controllable human motion prediction
    Chunzhi Gu, Jun Yu, Chao Zhang · 2023 · Pattern Recognition
  24. Semantic Correlation Attention-Based Multiorder Multiscale Feature Fusion Network for Human Motion Prediction
    Qin Li, Yong Wang, Fanbing Lv · 2022 · IEEE Transactions on Cybernetics
  25. 3-D Skeleton-Based Human Motion Prediction With Manifold-Aware GAN
    Baptiste Chopin, Naima Otberdout, Mohamed Daoudi, Angela Bartolo · 2022 · IEEE Transactions on Biometrics Behavior and Identity Science
  26. A Spatio-Temporal Prediction and Planning Framework for Proactive Human–Robot Collaboration
    Jared T. Flowers, Gloria J. Wiens · 2023 · Journal of Manufacturing Science and Engineering
  27. DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles
    Kareem Eltouny, Wansong Liu, Sibo Tian, Minghui Zheng, Xiao Ping Liang · 2024 · IEEE Robotics and Automation Letters
  28. Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression
    Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan, Niall L. Williams, Trisha Mittal, Aniket Bera, Dinesh Manocha · 2020 · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR
  29. A Multimodal Predictive Agent Model for Human Interaction Generation
    Murchana Baruah, Bonny Banerjee · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  30. Robust Human Motion Forecasting using Transformer-based Model
    Esteve Valls Mascaro, Shuo Ma, Hyemin Ahn, Dongheui Lee · 2022 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  31. Learning Human Motion Prediction via Stochastic Differential Equations
    Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, Yuyu Yin · 2021 · ACM International Conference on Multimedia (ACM MM)
  32. Intention-based Long-Term Human Motion Anticipation
    Julian Tanke, Chintan Zaveri, Jüergen Gall · 2021 · International Conference on 3D Vision (3DV)
  33. QMEDNet: A quaternion-based multi-order differential encoder–decoder model for 3D human motion prediction
    Wenming Cao, Shuangshuang Li, Jianqi Zhong · 2022 · Neural Networks
  34. Human Motion Prediction Using Manifold-Aware Wasserstein GAN
    Baptiste Chopin, Naima Otberdout, Mohamed Daoudi, Angela Bartolo · 2021 · International Conference on Automatic Face and Gesture Recognition
  35. Skip-attention encoder–decoder framework for human motion prediction
    Zhang, Ruipeng, Shu, Xiangbo, Yan, Rui, Zhang, Jiachao, Song, Yan · 2022 · Multimedia Systems
  36. Stochastic human motion prediction using a quantized conditional diffusion model
    Biaozhang Huang, Xinde Li, Chuanfei Hu, Heqing Li · 2024 · Knowledge-Based Systems
  37. Lightweight Multiscale Spatiotemporal Locally Connected Graph Convolutional Networks for Single Human Motion Forecasting
    Di‐Hua Zhai, Zigeng Yan, Yuanqing Xia · 2023 · IEEE Transactions on Automation Science and Engineering
  38. Falls Prediction Based on Body Keypoints and Seq2Seq Architecture
    Minjie Hua, Yibing Nan, Shiguo Lian · 2019 · IEEE International Conference on Computer Vision Workshops
  39. A human-like action learning process: Progressive pose generation for motion prediction
    Jinkai Li, Jinghua Wang, Ciwei Kuang, Lian Wu, Xin Wang, Yong Sheng Xu · 2023 · Knowledge-Based Systems
  40. DeformMLP: Dynamic Large-Scale Receptive Field MLP Networks for Human Motion Prediction
    Haitao Huang, Chi‐Man Pun, Haolun Li, Mengqi Liu, Jian Xiong, Hao Gao · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  41. Spatio-Temporal Articulation & Coordination Co-attention Graph Network for human motion prediction
    Shuang Zhu, Jin Chen, Yong R. Su · 2024 · Signal Processing
  42. Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction
    Jianqi Zhong, Jiang Tao Huang, Wenming Cao · 2024 · Expert Systems with Applications
  43. Human Motion Prediction Via Pattern Completion in Latent Representation Space
    Yi Tian Xu, Yaqiao Li, David Meger · 2019 · Canadian Conference on Computer and Robot Vision
  44. Deep Learning for 3D Human Motion Prediction: State-of-the-Art and Future Trends
    Matthew Marchellus, In Kyu Park · 2022 · IEEE Access
  45. A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps
    Ze-Cha Dan, C. Eggert, Moritz Einfalt, Stephan Brehm, R. Lienhart · 2018 · MMSports@MM
  46. Efficient human motion recovery using bidirectional attention network
    Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong · 2019 · Neural Computing and Applications
  47. Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
    Moritz Einfalt, Rainer W. Lienhart · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  48. Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks
    Kun Su, Eli Shlizerman · 2020 · Frontiers in Artificial Intelligence
  49. Spatio-Temporal Branching for Motion Prediction using Motion Increments
    Wang, Jiexin, Zhou, Yujie, Qiang, Wenwen, Ba, Ying, Su, Bing, Wen, Ji-Rong · 2023 · Proceedings of the 31st ACM International Conference on Multimedia
  50. Velocity-to-velocity human motion forecasting
    Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou · 2021 · Pattern Recognition
  51. Parametric Shape Estimation of Human Body Under Wide Clothing
    Yucheng Lu, Jin-Hyuck Cha, Sekyoung Youm, Seung‐Won Jung · 2020 · IEEE Transactions on Multimedia
  52. Fusion learning-based recurrent neural network for human motion prediction
    Chongyang Guo, Rui Liu, Chao Che, Dongsheng Zhou, Qiang Zhang, Xiaopeng Wei · 2022 · Intelligent Service Robotics
  53. What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging
    Zitian Tang, Wenjie Ye, Wei-Chiu Ma, Hang Zhao · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  54. Human Digital Healthcare Engineering for Enhancing the Health and Well-Being of Seafarers and Offshore Workers: A Comprehensive Review
    Meng-Xuan Cui, Kunhou He, Fang Wang, Jeom Kee Paik · 2025 · Systems
  55. Multi-Granularity Interaction for Multi-Person 3D Motion Prediction
    Chenchen Liu, Yadong Mu · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
  56. Toward Reliable Human Pose Forecasting With Uncertainty
    Saeed Saadatnejad, Mehrshad Mirmohammadi, Matin Daghyani, Parham Saremi, Yashar Zoroofchi Benisi, Amirhossein Alimohammadi, Zahra TehraniNasab, Taylor Mordan, Alexandre Alahi · 2024 · IEEE Robotics and Automation Letters
  57. Human motion prediction with gated recurrent unit model of multi-dimensional input
    Yue Yu, Niehao Tian, Xiangyu Hao, Tao Ma, Chunguang Yang · 2021 · Applied Intelligence
  58. Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction
    Chen, Shijia, Peng, Chang, Yang, Bao, Lin, Jiaxiang, Zhou, Licheng, Jiang, Zhenyu, Liu, Zejia, Liu, Yiping, Tang, Liqun · 2026 · npj Artificial Intelligence
  59. 3D skeleton-based human motion prediction using spatial–temporal graph convolutional network
    Jianying Huang, Hoon Kang · 2024 · International Journal of Multimedia Information Retrieval
  60. An imitation learning framework for generating multi-modal trajectories from unstructured demonstrations
    Jian-Wei Peng, Min‐Chun Hu, Wei-Ta Chu · 2022 · Neurocomputing
  61. Learning to predict diverse human motions from a single image via mixture density networks
    Chunzhi Gu, Yan Fang Zhao, Chao Zhang · 2022 · Knowledge-Based Systems
  62. Utility-Based Route Choice Behavior Modeling Using Deep Sequential Models
    Guimin Dong, Yonghyeon Kweon, Byungkyu Park, Mehdi Boukhechba · 2022 · Journal of Big Data Analytics in Transportation
  63. Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
    Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu · 2022 · Lecture notes in computer science
  64. Self-Supervised Pretraining Based on Noise-Free Motion Reconstruction and Semantic-Aware Contrastive Learning for Human Motion Prediction
    Qin Li, Yong Wang · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
  65. Positional Label for Self-Supervised Vision Transformer
    Zhemin Zhang, Xun Gong · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  66. Best Practices for 2-Body Pose Forecasting
    Muhammad Rameez Ur Rahman, Luca Scofano, Edoardo De Matteis, Alessandro Flaborea, Alessio Sampieri, Fabio Galasso · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  67. Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios
    Sumin Zhang, Ri Bai, Rui He, Zhiwei Meng, Yupeng Chang, Yongshuai Zhi, Ning Sun · 2024 · IEEE Transactions on Intelligent Transportation Systems
  68. Inverse Kinematics and Temporal Convolutional Networks for Sequential Pose Analysis in VR
    David C. Jeong, Jackie Jingyi Xu, Lynn Carol Miller · 2020 · IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
  69. Graph-based motion prediction for abnormal action detection
    Yao Tang, Lin Zhao, Zhaoliang Yao, Chen Gong, Jian Jun Yang · 2021 · ACM International Conference on Multimedia in Asia (MMAsia)
  70. Spatio-temporal aggregation of skeletal motion features for human motion prediction
    Itsuki Ueda, Hidehiko Shishido, Itaru Kitahara · 2022 · Array
  71. ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
    Fatemeh Sadat Saleh, Sadegh Aliakbarian, Mathieu Salzmann, Stephen Jay Gould · 2020 · arXiv (Cornell University)
  72. Multimodal Sense-Informed Forecasting of 3D Human Motions
    Zhenyu Lou, Qiongjie Cui, Haofan Wang, Xu Tang, Hong Zhou · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  73. On Retrospecting Human Dynamics with Attention
    Minjing Dong, Chang Xu · 2019 · International Joint Conference on Artificial Intelligence
  74. Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction
    Jianqi Zhong, Wenming Cao · 2023 · Applied Intelligence
  75. Human Motion Prediction Based on a Multi-Scale Hypergraph for Intangible Cultural Heritage Dance Videos
    Xingquan Cai, Pengyan Cheng, Shike Liu, Haoyu Zhang, Haiyan Sun · 2023 · Electronics
  76. CHAMP: A Large-Scale Dataset for Skeleton-Based Composite HumAn Motion Prediction
    W. Zhang, Mengyuan Liu, Xinshun Wang, Shen Zhao, Can Wang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
  77. Multi-granularity spatial temporal graph convolution network with consecutive attention for human motion prediction
    Jinli Ma, Yumei Zhang, Hanghang Zhou, Honghong Yang, Xiaojun Wu · 2024 · Applied Soft Computing
  78. Forecasting of 3D Whole-Body Human Poses with Grasping Objects
    Haitao Yan, Qiongjie Cui, Jiexin Xie, Shijie Guo · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  79. An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls
    Yan Zhang, Heiko Neumann B · 2019 · Lecture notes in computer science
  80. Adversarial Refinement Network for Human Motion Prediction
    Xianjin Chao, Yanrui Bin, Wenqing Chu, Xuan Cao, Yanhao Ge, Chengjie Wang, Jilin Li, Feiyue Huang, Howard W. H. Leung · 2021 · Lecture notes in computer science
  81. Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction
    Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán McLoone · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  82. Exploring Versatile Prior for Human Motion via Motion Frequency Guidance
    Jiachen Xu, Min Wang, Jingyu Gong, Wentao Liu, Chen Qian, Yuan Xie, Lizhuang Ma · 2021 · International Conference on 3D Vision (3DV)
  83. Generative adversarial networks for open information extraction
    Jiabao Han, Hongzhi Wang · 2021 · Advances in Computational Intelligence
  84. Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
    Adrian Spurr, Pavlo A. Molchanov, Umar Iqbal, Jan Kautz, Otmar Hilliges · 2021 · arXiv (Cornell University)
  85. MTAN: Multi-degree Tail-aware Attention Network for human motion prediction
    Junyi Tang, Jin Chen, Yong R. Su, Meng Xing, Shuang Zhu · 2024 · Internet of Things
  86. ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency
    Dong Wei, Xiaoning Sun, Xizhan Gao, Shengxiang Hu, Huaijiang Sun · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  87. Test-time Personalizable Forecasting of 3D Human Poses
    Qiong-Jie Cui, Huaijiang Sun, Jian-Zhou Lu, Wei-Qing Li, Bin Li, Hong-Wei Yi, Haofan Wang · 2023 · IEEE International Conference on Computer Vision
  88. Few-shot human motion prediction using deformable spatio-temporal CNN with parameter generation
    Chuanqi Zang, Menghao Li, Mingtao Pei · 2022 · Neurocomputing
  89. An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction
    Zhiquan He, Lujun Zhang, Hengyou Wang · 2023 · Frontiers in Computational Neuroscience
  90. Human Motion Prediction via Dual-Attention and Multi-Granularity Temporal Convolutional Networks
    Biaozhang Huang, Xinde Li · 2023 · Sensors
  91. Densely connected GCN model for motion prediction
    Yanran Li, Lingteng Qiu, Li Wang, Fangde Liu, Zhao Wang, Sebastian Iulian Poiana, Xiaosong Yang, Jianjun Zhang · 2020 · Computer Animation and Virtual Worlds
  92. Skeleton-Aware Representation of Spatio-Temporal Kinematics for 3D Human Motion Prediction
    Сонглин Ду, Zhihan Zhuang, Zenghui Wang, Yuan Li, Takeshi Ikenaga · 2025 · IEEE Transactions on Automation Science and Engineering
  93. Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series
    Matteo Salis, Abdourrahmane Mahamane Atto, Stefano Ferraris, Rosa Meo · 2025 · Environmental Modelling & Software
  94. Recognition to weightlifting postures using convolutional neural networks with evaluation mechanism
    Quantao He, Wenjuan Li, Wenquan Tang, Baoguan Xu · 2023 · Measurement and Control
  95. Neural ordinary differential equation for irregular human motion prediction
    Y. Frank Chen, Hong Liu, Pinhao Song, Wenhao Li · 2023 · Pattern Recognition Letters
  96. Prompting Future Driven Diffusion Model for Hand Motion Prediction
    Bowen Tang, Kaihao Zhang, Wenhan Luo, Wei Liu, Hongdong Li · 2024 · Lecture notes in computer science
  97. NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction
    Adeyemi Ademola, David Sinclair, Babis Koniaris, Samantha Hannah, Kenny Mitchell · 2025 · Computers & Graphics
  98. Conditional Temporal Variational AutoEncoder for Action Video Prediction
    Xiaogang Xu, Yi Wang, Liwei Wang, Bei Yu, Jiaya Jia · 2023 · International Journal of Computer Vision
  99. Using Eye Gaze to Forecast Human Pose in Everyday Pick and Place Actions
    Haziq Razali, Yiannis Demiris · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  100. MSTP-Net: Multiscale Spatio-Temporal Parallel Networks for Human Motion Prediction
    Lujing Chen, Rui Liu, Wei Zhang, Yaqing Hou, Qiang Zhang, Dongsheng Zhou · 2023 · IEEE Transactions on Consumer Electronics