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Abu et al., "When Will You Do What? - Anticipating Temporal Occurrences Of Activities", CVPR, 2018. paper arxiv code
Suzuki et al., "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db", CVPR, 2018. paper arxiv
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@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
Liu et al., "SSNet: Scale Selection Network For Online 3D Action Prediction", CVPR, 2018. paper
Chen et al., "Part-Activated Deep Reinforcement Learning For Action Prediction", ECCV, 2018. paper
Shen et al., "Egocentric Activity Prediction Via Event Modulated Attention", ECCV, 2018. paper
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@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" }
Aliakbarian et al., "VIENA2: A Driving Anticipation Dataset", ACCV, 2018. paper arxiv
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@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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@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
Strickland et al., "Deep Predictive Models For Collision Risk Assessment In Autonomous Driving", ICRA, 2018. paper arxiv
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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@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
Cho et al., "A Temporal Sequence Learning For Action Recognition And Prediction", WACV, 2018. paper arxiv
Zyner et al., "A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections", RAL, 2018. paper
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@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
Zhong et al., "Unsupervised Learning For Forecasting Action Representations", ICIP, 2018. paper
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@InProceedings{Zhong_2018_ICIP, author = "Zhong, Y. and Zheng, W.", booktitle = "ICIP", title = "Unsupervised Learning For Forecasting Action Representations", year = "2018" }