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Action prediction papers 2020

    Epstein et al., "Oops! Predicting Unintentional Action in Video", CVPR, 2020. paper arxiv code
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      Bibtex
      @InProceedings{Epstein_2020_CVPR,
          author = "Epstein, Dave and Chen, Boyuan and Vondrick, Carl",
          title = "Oops! Predicting Unintentional Action in Video",
          booktitle = "CVPR",
          year = "2020"
      }
      
    Chen et al., "Group Activity Prediction with Sequential Relational Anticipation Model", ECCV, 2020. paper arxiv
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      Bibtex
      @InProceedings{Chen_2020_ECCV,
          author = "Chen, Junwen and Bao, Wentao and Kong, Yu",
          title = "Group Activity Prediction with Sequential Relational Anticipation Model",
          booktitle = "ECCV",
          year = "2020"
      }
      
    Li et al., "HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction", ECCV, 2020. paper
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      Bibtex
      @InProceedings{Li_2020_ECCV,
          author = "Li, Tianjiao and Liu, Jun and Zhang, Wei and Duan, Lingyu",
          title = "{HARD-Net}: Hardness-AwaRe Discrimination Network for {3D} Early Activity Prediction",
          booktitle = "ECCV",
          year = "2020"
      }
      
    Liu et al., "Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video", ECCV, 2020. paper arxiv code
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      Bibtex
      @InProceedings{Liu_2020_ECCV,
          author = "Liu, Miao and Tang, Siyu and Li, Yin and Rehg, James",
          title = "Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video",
          booktitle = "ECCV",
          year = "2020"
      }
      
    Piergiovanni et al., "Adversarial Generative Grammars for Human Activity Prediction", ECCV, 2020. paper arxiv
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      Bibtex
      @InProceedings{Piergiovanni_2020_ECCV,
          author = "Piergiovanni, AJ and Angelova, Anelia and Toshev, Alexander and Ryoo, Michael S",
          title = "Adversarial Generative Grammars for Human Activity Prediction",
          booktitle = "ECCV",
          year = "2020"
      }
      
    Zhao et al., "On Diverse Asynchronous Activity Anticipation", ECCV, 2020. paper
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      Bibtex
      @InProceedings{Zhao_2020_ECCV,
          author = "Zhao, He and Wildes, Richard P.",
          title = "On Diverse Asynchronous Activity Anticipation",
          booktitle = "ECCV",
          year = "2020"
      }
      
    Morais et al., "Learning to Abstract and Predict Human Actions", BMVC, 2020. paper arxiv code
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      Bibtex
      @InProceedings{Morais_2020_BMVC,
          author = "Morais, Romero and Le, Vuong and Tran, Truyen and Venkatesh, Svetha",
          title = "Learning to Abstract and Predict Human Actions",
          booktitle = "BMVC",
          year = "2020"
      }
      
    Chaabane et al., "Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction", WACV, 2020. paper arxiv
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      Bibtex
      @InProceedings{Chaabane_2020_WACV,
          author = "Chaabane, Mohamed and Trabelsi, Ameni and Blanchard, Nathaniel and Beveridge, Ross",
          title = "Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction",
          booktitle = "WACV",
          year = "2020"
      }
      
    Driess et al., "Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image", RSS, 2020. paper arxiv
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      Bibtex
      @InProceedings{Driess_2020_RSS,
          author = "Driess, Danny and Ha, Jung-Su and Toussaint, Marc",
          title = "Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image",
          booktitle = "RSS",
          year = "2020"
      }
      
    Filatov et al., "Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds", ICRA, 2020. paper arxiv
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      Bibtex
      @InProceedings{Filatov_2020_ICRA,
          author = "Filatov, A. and Rykov, A. and Murashkin, V.",
          booktitle = "ICRA",
          title = "Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of {LiDAR} Point Clouds",
          year = "2020"
      }
      
    Ito et al., "Anticipating the Start of User Interaction for Service Robot in the Wild", ICRA, 2020. paper
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      Bibtex
      @InProceedings{Ito_2020_ICRA,
          author = "Ito, K. and Kong, Q. and Horiguchi, S. and Sumiyoshi, T. and Nagamatsu, K.",
          booktitle = "ICRA",
          title = "Anticipating the Start of User Interaction for Service Robot in the Wild",
          year = "2020"
      }
      
    Jayaraman et al., "Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions", ICRA, 2020. paper arxiv
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      Bibtex
      @InProceedings{Jayaraman_2020_ICRA,
          author = "Jayaraman, S. K. and Tilbury, D. M. and Yang, X. Jessie and Pradhan, A. K. and Robert, L. P.",
          booktitle = "ICRA",
          title = "Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions",
          year = "2020"
      }
      
    Qiao et al., "Human Driver Behavior Prediction based on UrbanFlow*", ICRA, 2020. paper arxiv
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      Bibtex
      @InProceedings{Qiao_2020_ICRA,
          author = "Qiao, Z. and Zhao, J. and Zhu, J. and Tyree, Z. and Mudalige, P. and Schneider, J. and Dolan, J. M.",
          booktitle = "ICRA",
          title = "Human Driver Behavior Prediction based on {UrbanFlow*}",
          year = "2020"
      }
      
    Zaech et al., "Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context", IROS, 2020. paper arxiv
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      Bibtex
      @InProceedings{Zaech_2020_IROS,
          author = "Zaech, J. -N. and Dai, D. and Liniger, A. and Gool, L. V.",
          booktitle = "IROS",
          title = "Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context",
          year = "2020"
      }
      
    Berlati et al., "Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models", RAL, 2020. paper arxiv
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      Bibtex
      @Article{Berlati_2020_RAL,
          author = "Berlati, A. and Scheel, O. and Stefano, L. D. and Tombari, F.",
          journal = "RAL",
          title = "Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models",
          year = "2020",
          volume = "5",
          number = "2",
          pages = "2935-2942"
      }
      
    Liu et al., "Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction", RAL, 2020. paper arxiv
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      Bibtex
      @Article{Liu_2020_RAL,
          author = "Liu, B. and Adeli, E. and Cao, Z. and Lee, K. and Shenoi, A. and Gaidon, A. and Niebles, J. C.",
          journal = "RAL",
          title = "Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction",
          year = "2020",
          volume = "5",
          number = "2",
          pages = "3485-3492"
      }