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Other Prediction Papers

Mohajerin et al., "Multi-Step Prediction Of Occupancy Grid Maps With Recurrent Neural Networks", CVPR, 2019. paper arxiv
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    Bibtex
    @InProceedings{Mohajerin_2019_CVPR,
        author = "Mohajerin, Nima and Rohani, Mohsen",
        title = "Multi-Step Prediction Of Occupancy Grid Maps With Recurrent Neural Networks",
        booktitle = "CVPR",
        year = "2019"
    }
    
Guizilini et al., "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments", ICRA, 2019. paper arxiv code
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    Bibtex
    @InProceedings{Guizilini_2019_ICRA,
        author = "Guizilini, V. and Senanayake, R. and Ramos, F.",
        booktitle = "ICRA",
        title = "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments",
        year = "2019"
    }
    
Katyal et al., "Uncertainty-Aware Occupancy Map Prediction Using Generative Networks For Robot Navigation", ICRA, 2019. paper
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    @InProceedings{Katyal_2019_ICRA,
        author = "Katyal, K. and Popek, K. and Paxton, C. and Burlina, P. and Hager, G. D.",
        booktitle = "ICRA",
        title = "Uncertainty-Aware Occupancy Map Prediction Using Generative Networks For Robot Navigation",
        year = "2019"
    }
    
Schreiber et al., "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks", ICRA, 2019. paper arxiv
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    @InProceedings{Schreiber_2019_ICRA,
        author = "Schreiber, M. and Hoermann, S. and Dietmayer, K.",
        booktitle = "ICRA",
        title = "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks",
        year = "2019"
    }
    
Hoermann et al., "Dynamic Occupancy Grid Prediction For Urban Autonomous Driving: A Deep Learning Approach With Fully Automatic Labeling", ICRA, 2018. paper arxiv
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    @InProceedings{Hoermann_2018_ICRA,
        author = "Hoermann, S. and Bach, M. and Dietmayer, K.",
        booktitle = "ICRA",
        title = "Dynamic Occupancy Grid Prediction For Urban Autonomous Driving: A Deep Learning Approach With Fully Automatic Labeling",
        year = "2018"
    }
    
Afolabi et al., "People As Sensors: Imputing Maps From Human Actions", IROS, 2018. paper arxiv
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    @InProceedings{Afolabi_2018_IROS,
        author = "Afolabi, O. and Driggs–Campbell, K. and Dong, R. and Kochenderfer, M. J. and Sastry, S. S.",
        booktitle = "IROS",
        title = "People As Sensors: Imputing Maps From Human Actions",
        year = "2018"
    }
    
Choi et al., "Robust Modeling And Prediction In Dynamic Environments Using Recurrent Flow Networks", IROS, 2016. paper
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    @InProceedings{Choi_2016_IROS,
        author = "Choi, S. and Lee, K. and Oh, S.",
        booktitle = "IROS",
        title = "Robust Modeling And Prediction In Dynamic Environments Using Recurrent Flow Networks",
        year = "2016"
    }
    
Graves et al., "Perception As Prediction Using General Value Functions In Autonomous Driving Applications", IROS, 2019. paper arxiv
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    @InProceedings{Graves_2019_IROS,
        author = "Graves, Daniel and Rezaee, Kasra and Scheideman, Sean",
        booktitle = "IROS",
        title = "Perception As Prediction Using General Value Functions In Autonomous Driving Applications",
        year = "2019"
    }
    
Zapf et al., "Pedestrian Density Prediction For Efficient Mobile Robot Exploration", IROS, 2019. paper
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    @InProceedings{Zapf_2019_IROS,
        author = "Zapf, Marc Patrick and Kawanabe, Motoaki and Morales Saiki, Luis Yoichi",
        booktitle = "IROS",
        title = "Pedestrian Density Prediction For Efficient Mobile Robot Exploration",
        year = "2019"
    }
    
Kim et al., "Deep-Hurricane-Tracker: Tracking And Forecasting Extreme Climate Events", WACV, 2019. paper
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    @InProceedings{Kim_2019_WACV,
        author = "Kim, S. and Kim, H. and Lee, J. and Yoon, S. and Kahou, S. E. and Kashinath, K. and Prabhat, M.",
        booktitle = "WACV",
        title = "Deep-Hurricane-Tracker: Tracking And Forecasting Extreme Climate Events",
        year = "2019"
    }
    
Siddiqui et al., "A Deep Learning Approach To Solar-Irradiance Forecasting In Sky-Videos", WACV, 2019. paper arxiv
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    @InProceedings{Siddiqui_2019_WACV,
        author = "Siddiqui, T. A. and Bharadwaj, S. and Kalyanaraman, S.",
        booktitle = "WACV",
        title = "A Deep Learning Approach To Solar-Irradiance Forecasting In Sky-Videos",
        year = "2019"
    }
    
Terwilliger et al., "Recurrent Flow-Guided Semantic Forecasting", WACV, 2019. paper arxiv
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    @InProceedings{Terwilliger_2019_WACV,
        author = "Terwilliger, A. and Brazil, G. and Liu, X.",
        booktitle = "WACV",
        title = "Recurrent Flow-Guided Semantic Forecasting",
        year = "2019"
    }
    
Luc et al., "Predicting Future Instance Segmentation By Forecasting Convolutional Features", ECCV, 2018. paper arxiv
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    Bibtex
    @InProceedings{Luc_2018_ECCV,
        author = "Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob",
        title = "Predicting Future Instance Segmentation By Forecasting Convolutional Features",
        booktitle = "ECCV",
        year = "2018"
    }
    
Chu et al., "Visual Weather Temperature Prediction", WACV, 2018. paper arxiv
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    @InProceedings{Chu_2018_WACV,
        author = "Chu, W. and Ho, K. and Borji, A.",
        booktitle = "WACV",
        title = "Visual Weather Temperature Prediction",
        year = "2018"
    }
    
Wang et al., "Retweet Wars: Tweet Popularity Prediction Via Dynamic Multimodal Regression", WACV, 2018. paper
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    Bibtex
    @InProceedings{Wang_2018_WACV,
        author = "Wang, K. and Bansal, M. and Frahm, J.",
        booktitle = "WACV",
        title = "Retweet Wars: Tweet Popularity Prediction Via Dynamic Multimodal Regression",
        year = "2018"
    }
    
He et al., "Aggregated Sparse Attention For Steering Angle Prediction", ICPR, 2018. paper arxiv
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    Bibtex
    @InProceedings{He_2018_ICPR,
        author = "He, S. and Kangin, D. and Mi, Y. and Pugeault, N.",
        booktitle = "ICPR",
        title = "Aggregated Sparse Attention For Steering Angle Prediction",
        year = "2018"
    }
    
Al-Halah et al., "Fashion Forward: Forecasting Visual Style In Fashion", ICCV, 2017. paper arxiv
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    @InProceedings{Al-Halah_2017_ICCV,
        author = "Al-Halah, Ziad and Stiefelhagen, Rainer and Grauman, Kristen",
        title = "Fashion Forward: Forecasting Visual Style In Fashion",
        booktitle = "ICCV",
        year = "2017"
    }
    
Luc et al., "Predicting Deeper Into The Future Of Semantic Segmentation", ICCV, 2017. paper arxiv code
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    Bibtex
    @InProceedings{Luc_2017_ICCV,
        author = "Luc, Pauline and Neverova, Natalia and Couprie, Camille and Verbeek, Jakob and LeCun, Yann",
        title = "Predicting Deeper Into The Future Of Semantic Segmentation",
        booktitle = "ICCV",
        year = "2017"
    }
    
Zeng et al., "Visual Forecasting By Imitating Dynamics In Natural Sequences", ICCV, 2017. paper arxiv
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    @InProceedings{Zeng_2017_ICCV,
        author = "Zeng, Kuo-Hao and Shen, William B. and Huang, De-An and Sun, Min and Carlos Niebles, Juan",
        title = "Visual Forecasting By Imitating Dynamics In Natural Sequences",
        booktitle = "ICCV",
        year = "2017"
    }
    
Jin et al., "Predicting Scene Parsing And Motion Dynamics In The Future", NeurIPS, 2017. paper arxiv
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    Bibtex
    @InProceedings{Jin_2017_NeurIPS,
        author = "Jin, Xiaojie and Xiao, Huaxin and Shen, Xiaohui and Yang, Jimei and Lin, Zhe and Chen, Yunpeng and Jie, Zequn and Feng, Jiashi and Yan, Shuicheng",
        title = "Predicting Scene Parsing And Motion Dynamics In The Future",
        booktitle = "NeurIPS",
        year = "2017"
    }
    
Sur et al., "Robots That Anticipate Pain: Anticipating Physical Perturbations From Visual Cues Through Deep Predictive Models", IROS, 2017. paper
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    @InProceedings{Sur_2017_IROS,
        author = "Sur, I. and Ben Amor, H.",
        booktitle = "IROS",
        title = "Robots That Anticipate Pain: Anticipating Physical Perturbations From Visual Cues Through Deep Predictive Models",
        year = "2017"
    }
    
Mottaghi et al., "What Happens If... Learning To Predict The Effect Of Forces In Images", ECCV, 2016. paper arxiv
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    Bibtex
    @InProceedings{Mottaghi_2016_ECCV,
        author = "Mottaghi, Roozbeh and Rastegari, Mohammad and Gupta, Abhinav and Farhadi, Ali",
        editor = "Leibe, Bastian and Matas, Jiri and Sebe, Nicu and Welling, Max",
        title = "What Happens If... Learning To Predict The Effect Of Forces In Images",
        booktitle = "ECCV",
        year = "2016"
    }
    
Carvajal et al., "Towards Miss Universe Automatic Prediction: The Evening Gown Competition", ICPR, 2016. paper arxiv
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    Bibtex
    @InProceedings{Carvajal_2016_ICPR,
        author = "Carvajal, J. and Wiliem, A. and Sanderson, C. and Lovell, B.",
        booktitle = "ICPR",
        title = "Towards Miss Universe Automatic Prediction: The Evening Gown Competition",
        year = "2016"
    }
    
Joo et al., "Automated Facial Trait Judgment And Election Outcome Prediction: Social Dimensions Of Face", ICCV, 2015. paper arxiv
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    @InProceedings{Joo_2015_ICCV,
        author = "Joo, Jungseock and Steen, Francis F. and Zhu, Song-Chun",
        title = "Automated Facial Trait Judgment And Election Outcome Prediction: Social Dimensions Of Face",
        booktitle = "ICCV",
        year = "2015"
    }
    
Wilson et al., "Vehicle State Prediction For Outdoor Autonomous High-Speed Off-Road Ugvs", ICRA, 2015. paper
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    @InProceedings{Wilson_2015_ICRA,
        author = "Wilson, G. N. and Ramirez-Serrano, A. and Sun, Q.",
        booktitle = "ICRA",
        title = "Vehicle State Prediction For Outdoor Autonomous High-Speed Off-Road Ugvs",
        year = "2015"
    }