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Chen et al., "Group Activity Prediction with Sequential Relational Anticipation Model", ECCV, 2020. paper arxiv
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@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
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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@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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@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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@InProceedings{Zhao_2020_ECCV, author = "Zhao, He and Wildes, Richard P.", title = "On Diverse Asynchronous Activity Anticipation", booktitle = "ECCV", year = "2020" }
Chaabane et al., "Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction", WACV, 2020. paper arxiv
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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@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
Ito et al., "Anticipating the Start of User Interaction for Service Robot in the Wild", ICRA, 2020. paper
Jayaraman et al., "Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions", ICRA, 2020. paper arxiv
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@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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@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
Berlati et al., "Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models", RAL, 2020. paper arxiv
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@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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@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" }