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Action prediction papers 2018

    Abu et al., "When Will You Do What? - Anticipating Temporal Occurrences Of Activities", CVPR, 2018. paper arxiv code
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      Bibtex
      @InProceedings{Farha_2018_CVPR,
          author = "Abu Farha, Yazan and Richard, Alexander and Gall, Juergen",
          title = "When Will You Do What? - Anticipating Temporal Occurrences Of Activities",
          booktitle = "CVPR",
          year = "2018"
      }
      
    Suzuki et al., "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db", CVPR, 2018. paper arxiv
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      Bibtex
      @InProceedings{Suzuki_2018_CVPR,
          author = "Suzuki, Tomoyuki and Kataoka, Hirokatsu and Aoki, Yoshimitsu and Satoh, Yutaka",
          title = "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db",
          booktitle = "CVPR",
          year = "2018"
      }
      
    Yao et al., "Multiple Granularity Group Interaction Prediction", CVPR, 2018. paper
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      Bibtex
      @InProceedings{Yao_2018_CVPR,
          author = "Yao, Taiping and Wang, Minsi and Ni, Bingbing and Wei, Huawei and Yang, Xiaokang",
          title = "Multiple Granularity Group Interaction Prediction",
          booktitle = "CVPR",
          year = "2018"
      }
      
    Liu et al., "SSNet: Scale Selection Network For Online 3D Action Prediction", CVPR, 2018. paper
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      Bibtex
      @InProceedings{Liu_2018_CVPR_ssnet,
          author = "Liu, Jun and Shahroudy, Amir and Wang, Gang and Duan, Ling-Yu and Kot, Alex C.",
          title = "{SSNet}: Scale Selection Network For Online {3D} Action Prediction",
          booktitle = "CVPR",
          year = "2018"
      }
      
    Chen et al., "Part-Activated Deep Reinforcement Learning For Action Prediction", ECCV, 2018. paper
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      Bibtex
      @InProceedings{Chen_2018_ECCV,
          author = "Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie",
          title = "Part-Activated Deep Reinforcement Learning For Action Prediction",
          booktitle = "ECCV",
          year = "2018"
      }
      
    Shen et al., "Egocentric Activity Prediction Via Event Modulated Attention", ECCV, 2018. paper
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      Bibtex
      @InProceedings{Shen_2018_ECCV,
          author = "Shen, Yang and Ni, Bingbing and Li, Zefan and Zhuang, Ning",
          title = "Egocentric Activity Prediction Via Event Modulated Attention",
          booktitle = "ECCV",
          year = "2018"
      }
      
    Shi et al., "Action Anticipation With RBF Kernelized Feature Mapping RNN", ECCV, 2018. paper arxiv
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      Bibtex
      @InProceedings{Shi_2018_ECCV,
          author = "Shi, Yuge and Fernando, Basura and Hartley, Richard",
          title = "Action Anticipation With {RBF} Kernelized Feature Mapping {RNN}",
          booktitle = "ECCV",
          year = "2018"
      }
      
    Aliakbarian et al., "VIENA2: A Driving Anticipation Dataset", ACCV, 2018. paper arxiv
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      Bibtex
      @InProceedings{Aliakbarian_2018_ACCV,
          author = "Aliakbarian, Mohammad Sadegh and Saleh, Fatemeh Sadat and Salzmann, Mathieu and Fernando, Basura and Petersson, Lars and Andersson, Lars",
          editor = "Jawahar, C. V. and Li, Hongdong and Mori, Greg and Schindler, Konrad",
          title = "{VIENA2}: A Driving Anticipation Dataset",
          booktitle = "ACCV",
          year = "2018"
      }
      
    Bütepage et al., "Anticipating Many Futures: Online Human Motion Prediction And Generation For Human-Robot Interaction", ICRA, 2018. paper arxiv
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      Bibtex
      @InProceedings{Butepage_2018_ICRA,
          author = "Bütepage, J. and Kjellström, H. and Kragic, D.",
          booktitle = "ICRA",
          title = "Anticipating Many Futures: Online Human Motion Prediction And Generation For Human-Robot Interaction",
          year = "2018"
      }
      
    Scheel et al., "Situation Assessment For Planning Lane Changes: Combining Recurrent Models And Prediction", ICRA, 2018. paper arxiv
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      Bibtex
      @InProceedings{Scheel_2018_ICRA,
          author = "Scheel, O. and Schwarz, L. and Navab, N. and Tombari, F.",
          booktitle = "ICRA",
          title = "Situation Assessment For Planning Lane Changes: Combining Recurrent Models And Prediction",
          year = "2018"
      }
      
    Strickland et al., "Deep Predictive Models For Collision Risk Assessment In Autonomous Driving", ICRA, 2018. paper arxiv
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      Bibtex
      @InProceedings{Strickland_2018_ICRA,
          author = "Strickland, M. and Fainekos, G. and Amor, H. B.",
          booktitle = "ICRA",
          title = "Deep Predictive Models For Collision Risk Assessment In Autonomous Driving",
          year = "2018"
      }
      
    Schydlo et al., "Anticipation In Human-Robot Cooperation: A Recurrent Neural Network Approach For Multiple Action Sequences Prediction", ICRA, 2018. paper arxiv
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      Bibtex
      @InProceedings{Schydlo_2018_ICRA_2,
          author = "Schydlo, P. and Rakovic, M. and Jamone, L. and Santos-Victor, J.",
          booktitle = "ICRA",
          title = "Anticipation In Human-Robot Cooperation: A Recurrent Neural Network Approach For Multiple Action Sequences Prediction",
          year = "2018"
      }
      
    Ziaeetabar et al., "Prediction Of Manipulation Action Classes Using Semantic Spatial Reasoning", IROS, 2018. paper
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      Bibtex
      @InProceedings{Ziaeetabar_2018_IROS,
          author = "Ziaeetabar, F. and Kulvicius, T. and Tamosiunaite, M. and Wörgötter, F.",
          booktitle = "IROS",
          title = "Prediction Of Manipulation Action Classes Using Semantic Spatial Reasoning",
          year = "2018"
      }
      
    Cho et al., "A Temporal Sequence Learning For Action Recognition And Prediction", WACV, 2018. paper arxiv
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      Bibtex
      @InProceedings{Cho_2018_WACV,
          author = "Cho, S. and Foroosh, H.",
          booktitle = "WACV",
          title = "A Temporal Sequence Learning For Action Recognition And Prediction",
          year = "2018"
      }
      
    Zyner et al., "A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections", RAL, 2018. paper
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      Bibtex
      @Article{Zyner_2018_RAL,
          author = "Zyner, A. and Worrall, S. and Nebot, E.",
          journal = "RAL",
          title = "A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections",
          year = "2018",
          volume = "3",
          number = "3",
          pages = "1759-1764"
      }
      
    Casas et al., "IntentNet: Learning To Predict Intention From Raw Sensor Data", CoRL, 2018. paper
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      Bibtex
      @InProceedings{Casas_2018_CORL,
          author = "Casas, Sergio and Luo, Wenjie and Urtasun, Raquel",
          title = "{IntentNet}: Learning To Predict Intention From Raw Sensor Data",
          booktitle = "CoRL",
          year = "2018"
      }
      
    Zhong et al., "Unsupervised Learning For Forecasting Action Representations", ICIP, 2018. paper
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      Bibtex
      @InProceedings{Zhong_2018_ICIP,
          author = "Zhong, Y. and Zheng, W.",
          booktitle = "ICIP",
          title = "Unsupervised Learning For Forecasting Action Representations",
          year = "2018"
      }