Video Action Trajectory Motion Other
Mohajerin et al., "Multi-Step Prediction Of Occupancy Grid Maps With Recurrent Neural Networks", CVPR, 2019. paper arxiv
Guizilini et al., "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments", ICRA, 2019. paper arxiv code
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
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" }
Choi et al., "Robust Modeling And Prediction In Dynamic Environments Using Recurrent Flow Networks", IROS, 2016. paper
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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@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" }
Wang et al., "Retweet Wars: Tweet Popularity Prediction Via Dynamic Multimodal Regression", WACV, 2018. paper
Luc et al., "Predicting Deeper Into The Future Of Semantic Segmentation", ICCV, 2017. paper arxiv code
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@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
Jin et al., "Predicting Scene Parsing And Motion Dynamics In The Future", NeurIPS, 2017. paper arxiv
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@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
Mottaghi et al., "What Happens If... Learning To Predict The Effect Of Forces In Images", ECCV, 2016. paper arxiv
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@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
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" }