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J-Z [rank]

    KullbackLeibler Divergence (KLD) [11]
      Liu et al., "Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video", ECCV, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @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"
        }
        
    Mean Advance Detection Distance (MADD) [11]
      Arreghini et al., "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues", ICRA, 2024. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @inproceedings{Arreghini_Predicting_2024_ICRA,
            author = "Arreghini, Simone and Abbate, Gabriele and Giusti, Alessandro and Paolillo, Antonio",
            booktitle = "ICRA",
            title = "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues",
            year = "2024"
        }
        
    Mean Absolute Error (MAE) [11]
      Manglik et al., "Forecasting Time-To-Collision From Monocular Video: Feasibility, Dataset, And Challenges", IROS, 2019. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Manglik_2019_IROS,
            author = "Manglik, Aashi and Weng, Xinshuo and Ohn-Bar, Eshed and Kitani, Kris M",
            booktitle = "IROS",
            title = "Forecasting Time-To-Collision From Monocular Video: Feasibility, Dataset, And Challenges",
            year = "2019"
        }
        
    mean Average Precision (mAP) [5]
      Pasca et al., "Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation", CVPR, 2024. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Pasca_Summarize_2024_CVPR,
            author = "Pasca, Razvan-George and Gavryushin, Alexey and Hamza, Muhammad and Kuo, Yen-Ling and Mo, Kaichun and Van Gool, Luc and Hilliges, Otmar and Wang, Xi",
            title = "Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Zhao et al., "AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?", ICLR, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @inproceedings{Zhao_AntGPT_2024_ICLR,
            author = "Zhao, Qi and Wang, Shijie and Zhang, Ce and Fu, Changcheng and Do, Minh Quan and Agarwal, Nakul and Lee, Kwonjoon and Sun, Chen",
            title = "Ant{GPT}: Can Large Language Models Help Long-term Action Anticipation from Videos?",
            booktitle = "ICLR",
            year = "2024"
        }
        
      Mascaro et al., "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs", CoRL, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Mascaro_2023_CoRL,
            author = "Mascaro, Esteve Valls and Sliwowski, Daniel and Lee, Dongheui",
            title = "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative ro{BOT}s",
            booktitle = "CoRL",
            year = "2023"
        }
        
      Nawhal et al., "Rethinking Learning Approaches for Long-Term Action Anticipation", ECCV, 2022. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Nawhal_2022_ECCV,
            author = "Nawhal, Megha and Jyothi, Akash Abdu and Mori, Greg",
            title = "Rethinking Learning Approaches for Long-Term Action Anticipation",
            booktitle = "ECCV",
            year = "2022"
        }
        
      Zhai et al., "Social Aware Multi-Modal Pedestrian Crossing Behavior Prediction", ACCV, 2022. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Zhai_2022_ACCV,
            author = "Zhai, Xiaolin and Hu, Zhengxi and Yang, Dingye and Zhou, Lei and Liu, Jingtai",
            title = "Social Aware Multi-Modal Pedestrian Crossing Behavior Prediction",
            booktitle = "ACCV",
            year = "2022"
        }
        
      Chen et al., "Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning", IROS, 2021. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Chen_2021_IROS,
            author = "Chen, Bo and Li, Decai and He, Yuqing",
            booktitle = "IROS",
            title = "Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning",
            year = "2021"
        }
        
      Piergiovanni et al., "Adversarial Generative Grammars for Human Activity Prediction", ECCV, 2020. paper arxiv
        Datasets Metrics
        Bibtex
        @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"
        }
        
      Liang et al., "Peeking Into The Future: Predicting Future Person Activities And Locations In Videos", CVPR, 2019. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Liang_2019_CVPR,
            author = "Liang, Junwei and Jiang, Lu and Niebles, Juan Carlos and Hauptmann, Alexander G. and Fei-Fei, Li",
            title = "Peeking Into The Future: Predicting Future Person Activities And Locations In Videos",
            booktitle = "CVPR",
            year = "2019"
        }
        
      Safaei et al., "Still Image Action Recognition By Predicting Spatial-Temporal Pixel Evolution", WACV, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Safaei_2019_WACV,
            author = "Safaei, M. and Foroosh, H.",
            booktitle = "WACV",
            title = "Still Image Action Recognition By Predicting Spatial-Temporal Pixel Evolution",
            year = "2019"
        }
        
      Suzuki et al., "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db", CVPR, 2018. paper arxiv
        Datasets Metrics
        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"
        }
        
      Casas et al., "IntentNet: Learning To Predict Intention From Raw Sensor Data", CoRL, 2018. paper
        Datasets
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        Metrics
        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"
        }
        
      Zeng et al., "Agent-Centric Risk Assessment: Accident Anticipation And Risky Region Localization", CVPR, 2017. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Zeng_2017_CVPR,
            author = "Zeng, Kuo-Hao and Chou, Shih-Han and Chan, Fu-Hsiang and Carlos Niebles, Juan and Sun, Min",
            title = "Agent-Centric Risk Assessment: Accident Anticipation And Risky Region Localization",
            booktitle = "CVPR",
            year = "2017"
        }
        
      Singh et al., "Online Real-Time Multiple Spatiotemporal Action Localisation And Prediction", ICCV, 2017. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Singh_2017_ICCV,
            author = "Singh, Gurkirt and Saha, Suman and Sapienza, Michael and Torr, Philip H. S. and Cuzzolin, Fabio",
            title = "Online Real-Time Multiple Spatiotemporal Action Localisation And Prediction",
            booktitle = "ICCV",
            year = "2017"
        }
        
      Rasouli et al., "Are They Going To Cross? A Benchmark Dataset And Baseline For Pedestrian Crosswalk Behavior", ICCVW, 2017. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Rasouli_2017_ICCVW,
            author = "Rasouli, Amir and Kotseruba, Iuliia and Tsotsos, John K.",
            title = "Are They Going To Cross? A Benchmark Dataset And Baseline For Pedestrian Crosswalk Behavior",
            booktitle = "ICCVW",
            year = "2017"
        }
        
      Gao et al., "RED: Reinforced Encoder-Decoder Networks For Action Anticipation", BMVC, 2017. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Gao_2017_BMVC,
            author = "Gao, Jiyang and Yang, Zhenheng and Nevatia, Ram",
            title = "{RED}: Reinforced Encoder-Decoder Networks For Action Anticipation",
            year = "2017",
            booktitle = "BMVC"
        }
        
    Matthews Correlation Coefficient (MCC) [11]
      Strickland et al., "Deep Predictive Models For Collision Risk Assessment In Autonomous Driving", ICRA, 2018. paper arxiv
        Datasets
        • Custom
        Metrics
        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"
        }
        
    METEOR [11]
      Hosseinzadeh et al., "Video Captioning of Future Frames", WACV, 2021. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Hosseinzadeh_2021_WACV,
            author = "Hosseinzadeh, Mehrdad and Wang, Yang",
            title = "Video Captioning of Future Frames",
            booktitle = "WACV",
            year = "2021"
        }
        
    Mean-over-class (MoC) [11]
      Morais et al., "Learning to Abstract and Predict Human Actions", BMVC, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Morais_2020_BMVC,
            author = "Morais, Romero and Le, Vuong and Tran, Truyen and Venkatesh, Svetha",
            title = "Learning to Abstract and Predict Human Actions",
            booktitle = "BMVC",
            year = "2020"
        }
        
    Mean-over-frame (MoF) [11]
      Morais et al., "Learning to Abstract and Predict Human Actions", BMVC, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Morais_2020_BMVC,
            author = "Morais, Romero and Le, Vuong and Tran, Truyen and Venkatesh, Svetha",
            title = "Learning to Abstract and Predict Human Actions",
            booktitle = "BMVC",
            year = "2020"
        }
        
    Mean Per Joint Prediction Error (MPJPE) [11]
      Diller et al., "FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations", CVPR, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Diller_FutureHuman3D_2024_CVPR,
            author = "Diller, Christian and Funkhouser, Thomas and Dai, Angela",
            title = "FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations",
            booktitle = "CVPR",
            year = "2024"
        }
        
    Mean Reciprocal Rank (MRR) [11]
      Xu et al., "Activity Auto-Completion: Predicting Human Activities From Partial Videos", ICCV, 2015. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Xu_2015_ICCV,
            author = "Xu, Zhen and Qing, Laiyun and Miao, Jun",
            title = "Activity Auto-Completion: Predicting Human Activities From Partial Videos",
            booktitle = "ICCV",
            year = "2015"
        }
        
    Negative Log-Likelihood (NLL) [11]
      Ke et al., "Future Moment Assessment for Action Query", WACV, 2021. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Ke_2021_WACV,
            author = "Ke, Qiuhong and Fritz, Mario and Schiele, Bernt",
            title = "Future Moment Assessment for Action Query",
            booktitle = "WACV",
            year = "2021"
        }
        
    Prediction Power (PP) [11]
      Ziaeetabar et al., "Prediction Of Manipulation Action Classes Using Semantic Spatial Reasoning", IROS, 2018. paper
        Datasets Metrics
        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"
        }
        
    Precision [3]
      Rasouli et al., "PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning", ICRA, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Rasouli_2023_ICRA,
            author = "Rasouli, Amir and Kotseruba, Iuliia",
            title = "PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning",
            booktitle = "ICRA",
            year = "2023"
        }
        
      Mascaro et al., "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs", CoRL, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Mascaro_2023_CoRL,
            author = "Mascaro, Esteve Valls and Sliwowski, Daniel and Lee, Dongheui",
            title = "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative ro{BOT}s",
            booktitle = "CoRL",
            year = "2023"
        }
        
      Song et al., "Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model", IROS, 2022. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Song_2022_IROS,
            author = "Song, Xingchen and Kang, Miao and Zhou, Sanping and Wang, Jianji and Mao, Yishu and Zheng, Nanning",
            booktitle = "IROS",
            title = "Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model",
            year = "2022"
        }
        
      Zhai et al., "Social Aware Multi-Modal Pedestrian Crossing Behavior Prediction", ACCV, 2022. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Zhai_2022_ACCV,
            author = "Zhai, Xiaolin and Hu, Zhengxi and Yang, Dingye and Zhou, Lei and Liu, Jingtai",
            title = "Social Aware Multi-Modal Pedestrian Crossing Behavior Prediction",
            booktitle = "ACCV",
            year = "2022"
        }
        
      Rasouli et al., "Bifold and Semantic Reasoning for Pedestrian Behavior Prediction", ICCV, 2021. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Rasouli_2021_ICCV,
            author = "Rasouli, Amir and Rohani, Mohsen and Luo, Jun",
            title = "Bifold and Semantic Reasoning for Pedestrian Behavior Prediction",
            booktitle = "ICCV",
            year = "2021"
        }
        
      Yau et al., "Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction", ICRA, 2021. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Yau_2021_ICRA,
            author = "Yau, Tiffany and Malekmohammadi, Saber and Rasouli, Amir and Lakner, Peter and Rohani, Mohsen and Luo, Jun",
            booktitle = "ICRA",
            title = "{Graph-SIM}: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction",
            year = "2021"
        }
        
      Liu et al., "Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video", ECCV, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @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"
        }
        
      Jayaraman et al., "Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions", ICRA, 2020. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @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"
        }
        
      Berlati et al., "Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models", RAL, 2020. paper arxiv
        Datasets Metrics
        Bibtex
        @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"
        }
        
      Ke et al., "Time-Conditioned Action Anticipation In One Shot", CVPR, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Ke_2019_CVPR,
            author = "Ke, Qiuhong and Fritz, Mario and Schiele, Bernt",
            title = "Time-Conditioned Action Anticipation In One Shot",
            booktitle = "CVPR",
            year = "2019"
        }
        
      Rasouli et al., "Pedestrian Action Anticipation Using Contextual Feature Fusion In Stacked Rnns", BMVC, 2019. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Rasouli_2019_BMVC,
            author = "Rasouli, Amir and Kotseruba, Iuliia and Tsotsos, John K",
            title = "Pedestrian Action Anticipation Using Contextual Feature Fusion In Stacked Rnns",
            year = "2019",
            booktitle = "BMVC"
        }
        
      Ding et al., "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network", ICRA, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Ding_2019_ICRA,
            author = "Ding, W. and Chen, J. and Shen, S.",
            booktitle = "ICRA",
            title = "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network",
            year = "2019"
        }
        
      Gujjar et al., "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes", ICRA, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Gujjar_2019_ICRA,
            author = "Gujjar, P. and Vaughan, R.",
            booktitle = "ICRA",
            title = "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes",
            year = "2019"
        }
        
      Scheel et al., "Attention-Based Lane Change Prediction", ICRA, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Scheel_2019_ICRA,
            author = "Scheel, O. and Nagaraja, N. S. and Schwarz, L. and Navab, N. and Tombari, F.",
            booktitle = "ICRA",
            title = "Attention-Based Lane Change Prediction",
            year = "2019"
        }
        
      Alati et al., "Help By Predicting What To Do", ICIP, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Alati_2019_ICIP,
            author = "Alati, E. and Mauro, L. and Ntouskos, V. and Pirri, F.",
            booktitle = "ICIP",
            title = "Help By Predicting What To Do",
            year = "2019"
        }
        
      Wang et al., "A Learning-Based Prediction Model For Baby Accidents", ICIP, 2019. paper
        Datasets
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        Bibtex
        @InProceedings{Wang_2019_ICIP,
            author = "Wang, P. and Lien, S. and Lee, M.",
            booktitle = "ICIP",
            title = "A Learning-Based Prediction Model For Baby Accidents",
            year = "2019"
        }
        
      Suzuki et al., "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db", CVPR, 2018. paper arxiv
        Datasets Metrics
        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"
        }
        
      Mahmud et al., "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos", ICCV, 2017. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Mahmud_2017_ICCV,
            author = "Mahmud, Tahmida and Hasan, Mahmudul and Roy-Chowdhury, Amit K.",
            title = "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos",
            booktitle = "ICCV",
            year = "2017"
        }
        
      Qi et al., "Predicting Human Activities Using Stochastic Grammar", ICCV, 2017. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Qi_2017_ICCV,
            author = "Qi, Siyuan and Huang, Siyuan and Wei, Ping and Zhu, Song-Chun",
            title = "Predicting Human Activities Using Stochastic Grammar",
            booktitle = "ICCV",
            year = "2017"
        }
        
      Kwak et al., "Pedestrian Intention Prediction Based On Dynamic Fuzzy Automata For Vehicle Driving At Nighttime", Infrared Physics & Technology, 2017. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @Article{Kwak_2017_IPT,
            author = "Kwak, Joon-Young and Ko, Byoung Chul and Nam, Jae-Yeal",
            title = "Pedestrian Intention Prediction Based On Dynamic Fuzzy Automata For Vehicle Driving At Nighttime",
            journal = "Infrared Physics \& Technology",
            volume = "81",
            pages = "41--51",
            year = "2017"
        }
        
      Jain et al., "Structural-RNN: Deep Learning On Spatio-Temporal Graphs", CVPR, 2016. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2016_CVPR,
            author = "Jain, Ashesh and Zamir, Amir R. and Savarese, Silvio and Saxena, Ashutosh",
            title = "{Structural-RNN}: Deep Learning On Spatio-Temporal Graphs",
            booktitle = "CVPR",
            year = "2016"
        }
        
      Jain et al., "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture", ICRA, 2016. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2016_ICRA,
            author = "Jain, A. and Singh, A. and Koppula, H. S. and Soh, S. and Saxena, A.",
            booktitle = "ICRA",
            title = "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture",
            year = "2016"
        }
        
      Hu et al., "Human Intent Forecasting Using Intrinsic Kinematic Constraints", IROS, 2016. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Hu_2016_IROS,
            author = "Hu, N. and Bestick, A. and Englebienne, G. and Bajscy, R. and Kröse, B.",
            booktitle = "IROS",
            title = "Human Intent Forecasting Using Intrinsic Kinematic Constraints",
            year = "2016"
        }
        
      Schneemann et al., "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments", IROS, 2016. paper
        Datasets
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        Bibtex
        @InProceedings{Schneemann_2016_IROS,
            author = "Schneemann, F. and Heinemann, P.",
            booktitle = "IROS",
            title = "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments",
            year = "2016"
        }
        
      Jain et al., "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models", ICCV, 2015. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2015_ICCV,
            author = "Jain, Ashesh and Koppula, Hema S. and Raghavan, Bharad and Soh, Shane and Saxena, Ashutosh",
            title = "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models",
            booktitle = "ICCV",
            year = "2015"
        }
        
      Galceran et al., "Multipolicy Decision-Making for Autonomous Driving via Changepoint-based Behavior Prediction", RSS, 2015. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Galceran_2015_RSS,
            author = "Galceran, Enric and Cunningham, Alexander G and Eustice, Ryan M and Olson, Edwin",
            title = "Multipolicy Decision-Making for Autonomous Driving via Changepoint-based Behavior Prediction",
            booktitle = "RSS",
            year = "2015"
        }
        
    Quality [11]
      Diller et al., "FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations", CVPR, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Diller_FutureHuman3D_2024_CVPR,
            author = "Diller, Christian and Funkhouser, Thomas and Dai, Angela",
            title = "FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations",
            booktitle = "CVPR",
            year = "2024"
        }
        
    Recall [2]
      Guo et al., "Uncertainty-aware Action Decoupling Transformer for Action Anticipation", CVPR, 2024. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Guo_Uncertainty_2024_CVPR,
            author = "Guo, Hongji and Agarwal, Nakul and Lo, Shao-Yuan and Lee, Kwonjoon and Ji, Qiang",
            title = "Uncertainty-aware Action Decoupling Transformer for Action Anticipation",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Mittal et al., "Can't Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models", CVPR, 2024. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Mittal_Cant_2024_CVPR,
            author = "Mittal, Himangi and Agarwal, Nakul and Lo, Shao-Yuan and Lee, Kwonjoon",
            title = "Can't Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models",
            booktitle = "CVPR",
            year = "2024"
        }
        
      Girase et al., "Latency Matters: Real-Time Action Forecasting Transformer", CVPR, 2023. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Girase_2023_CVPR,
            author = "Girase, Harshayu and Agarwal, Nakul and Choi, Chiho and Mangalam, Karttikeya",
            title = "Latency Matters: Real-Time Action Forecasting Transformer",
            booktitle = "CVPR",
            year = "2023"
        }
        
      Mascaro et al., "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs", CoRL, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Mascaro_2023_CoRL,
            author = "Mascaro, Esteve Valls and Sliwowski, Daniel and Lee, Dongheui",
            title = "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative ro{BOT}s",
            booktitle = "CoRL",
            year = "2023"
        }
        
      Zhong et al., "Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation", WACV, 2023. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Zhong_2023_WACV,
            author = "Zhong, Zeyun and Schneider, David and Voit, Michael and Stiefelhagen, Rainer and Beyerer, Jurgen",
            title = "Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation",
            booktitle = "WACV",
            year = "2023"
        }
        
      Song et al., "Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model", IROS, 2022. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Song_2022_IROS,
            author = "Song, Xingchen and Kang, Miao and Zhou, Sanping and Wang, Jianji and Mao, Yishu and Zheng, Nanning",
            booktitle = "IROS",
            title = "Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model",
            year = "2022"
        }
        
      Liu et al., "Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video", ECCV, 2020. paper arxiv code
        Datasets Metrics
        Bibtex
        @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"
        }
        
      Jayaraman et al., "Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions", ICRA, 2020. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @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"
        }
        
      Berlati et al., "Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models", RAL, 2020. paper arxiv
        Datasets Metrics
        Bibtex
        @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"
        }
        
      Ke et al., "Time-Conditioned Action Anticipation In One Shot", CVPR, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Ke_2019_CVPR,
            author = "Ke, Qiuhong and Fritz, Mario and Schiele, Bernt",
            title = "Time-Conditioned Action Anticipation In One Shot",
            booktitle = "CVPR",
            year = "2019"
        }
        
      Furnari et al., "What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs And Modality Attention", ICCV, 2019. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Furnari_2019_ICCV,
            author = "Furnari, Antonino and Farinella, Giovanni Maria",
            title = "What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling {LSTMs} And Modality Attention",
            booktitle = "ICCV",
            year = "2019"
        }
        
      Sener et al., "Zero-Shot Anticipation For Instructional Activities", ICCV, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Sener_2019_ICCV,
            author = "Sener, Fadime and Yao, Angela",
            title = "Zero-Shot Anticipation For Instructional Activities",
            booktitle = "ICCV",
            year = "2019"
        }
        
      Rasouli et al., "Pedestrian Action Anticipation Using Contextual Feature Fusion In Stacked Rnns", BMVC, 2019. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Rasouli_2019_BMVC,
            author = "Rasouli, Amir and Kotseruba, Iuliia and Tsotsos, John K",
            title = "Pedestrian Action Anticipation Using Contextual Feature Fusion In Stacked Rnns",
            year = "2019",
            booktitle = "BMVC"
        }
        
      Ding et al., "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network", ICRA, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Ding_2019_ICRA,
            author = "Ding, W. and Chen, J. and Shen, S.",
            booktitle = "ICRA",
            title = "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network",
            year = "2019"
        }
        
      Gujjar et al., "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes", ICRA, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Gujjar_2019_ICRA,
            author = "Gujjar, P. and Vaughan, R.",
            booktitle = "ICRA",
            title = "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes",
            year = "2019"
        }
        
      Scheel et al., "Attention-Based Lane Change Prediction", ICRA, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Scheel_2019_ICRA,
            author = "Scheel, O. and Nagaraja, N. S. and Schwarz, L. and Navab, N. and Tombari, F.",
            booktitle = "ICRA",
            title = "Attention-Based Lane Change Prediction",
            year = "2019"
        }
        
      Alati et al., "Help By Predicting What To Do", ICIP, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Alati_2019_ICIP,
            author = "Alati, E. and Mauro, L. and Ntouskos, V. and Pirri, F.",
            booktitle = "ICIP",
            title = "Help By Predicting What To Do",
            year = "2019"
        }
        
      Furnari et al., "Egocentric Action Anticipation By Disentangling Encoding And Inference", ICIP, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Furnari_2019_ICIP,
            author = "Furnari, A. and Farinella, G. M.",
            booktitle = "ICIP",
            title = "Egocentric Action Anticipation By Disentangling Encoding And Inference",
            year = "2019"
        }
        
      Wang et al., "A Learning-Based Prediction Model For Baby Accidents", ICIP, 2019. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Wang_2019_ICIP,
            author = "Wang, P. and Lien, S. and Lee, M.",
            booktitle = "ICIP",
            title = "A Learning-Based Prediction Model For Baby Accidents",
            year = "2019"
        }
        
      Suzuki et al., "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db", CVPR, 2018. paper arxiv
        Datasets Metrics
        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"
        }
        
      Casas et al., "IntentNet: Learning To Predict Intention From Raw Sensor Data", CoRL, 2018. paper
        Datasets
        • Custom
        Metrics
        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"
        }
        
      Mahmud et al., "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos", ICCV, 2017. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Mahmud_2017_ICCV,
            author = "Mahmud, Tahmida and Hasan, Mahmudul and Roy-Chowdhury, Amit K.",
            title = "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos",
            booktitle = "ICCV",
            year = "2017"
        }
        
      Qi et al., "Predicting Human Activities Using Stochastic Grammar", ICCV, 2017. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Qi_2017_ICCV,
            author = "Qi, Siyuan and Huang, Siyuan and Wei, Ping and Zhu, Song-Chun",
            title = "Predicting Human Activities Using Stochastic Grammar",
            booktitle = "ICCV",
            year = "2017"
        }
        
      Kwak et al., "Pedestrian Intention Prediction Based On Dynamic Fuzzy Automata For Vehicle Driving At Nighttime", Infrared Physics & Technology, 2017. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @Article{Kwak_2017_IPT,
            author = "Kwak, Joon-Young and Ko, Byoung Chul and Nam, Jae-Yeal",
            title = "Pedestrian Intention Prediction Based On Dynamic Fuzzy Automata For Vehicle Driving At Nighttime",
            journal = "Infrared Physics \& Technology",
            volume = "81",
            pages = "41--51",
            year = "2017"
        }
        
      Jain et al., "Structural-RNN: Deep Learning On Spatio-Temporal Graphs", CVPR, 2016. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2016_CVPR,
            author = "Jain, Ashesh and Zamir, Amir R. and Savarese, Silvio and Saxena, Ashutosh",
            title = "{Structural-RNN}: Deep Learning On Spatio-Temporal Graphs",
            booktitle = "CVPR",
            year = "2016"
        }
        
      Jain et al., "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture", ICRA, 2016. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2016_ICRA,
            author = "Jain, A. and Singh, A. and Koppula, H. S. and Soh, S. and Saxena, A.",
            booktitle = "ICRA",
            title = "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture",
            year = "2016"
        }
        
      Hu et al., "Human Intent Forecasting Using Intrinsic Kinematic Constraints", IROS, 2016. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Hu_2016_IROS,
            author = "Hu, N. and Bestick, A. and Englebienne, G. and Bajscy, R. and Kröse, B.",
            booktitle = "IROS",
            title = "Human Intent Forecasting Using Intrinsic Kinematic Constraints",
            year = "2016"
        }
        
      Schneemann et al., "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments", IROS, 2016. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Schneemann_2016_IROS,
            author = "Schneemann, F. and Heinemann, P.",
            booktitle = "IROS",
            title = "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments",
            year = "2016"
        }
        
      Jain et al., "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models", ICCV, 2015. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2015_ICCV,
            author = "Jain, Ashesh and Koppula, Hema S. and Raghavan, Bharad and Soh, Shane and Saxena, Ashutosh",
            title = "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models",
            booktitle = "ICCV",
            year = "2015"
        }
        
    Root Mean Square Error (RMSE) [8]
      Ke et al., "Future Moment Assessment for Action Query", WACV, 2021. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Ke_2021_WACV,
            author = "Ke, Qiuhong and Fritz, Mario and Schiele, Bernt",
            title = "Future Moment Assessment for Action Query",
            booktitle = "WACV",
            year = "2021"
        }
        
      Mahmud et al., "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos", ICCV, 2017. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Mahmud_2017_ICCV,
            author = "Mahmud, Tahmida and Hasan, Mahmudul and Roy-Chowdhury, Amit K.",
            title = "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos",
            booktitle = "ICCV",
            year = "2017"
        }
        
      Mahmud et al., "A Poisson Process Model For Activity Forecasting", ICIP, 2016. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Mahmud_2016_ICIP,
            author = "Mahmud, T. and Hasan, M. and Chakraborty, A. and Roy-Chowdhury, A. K.",
            booktitle = "ICIP",
            title = "A Poisson Process Model For Activity Forecasting",
            year = "2016"
        }
        
      Volz et al., "A Data-Driven Approach For Pedestrian Intention Estimation", ITSC, 2016. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Volz_2016_ITSC,
            author = "Volz, Benjamin and Behrendt, Karsten and Mielenz, Holger and Gilitschenski, Igor and Siegwart, Roland and Nieto, Juan",
            title = "A Data-Driven Approach For Pedestrian Intention Estimation",
            booktitle = "ITSC",
            year = "2016"
        }
        
    ROUGE-L [11]
      Hosseinzadeh et al., "Video Captioning of Future Frames", WACV, 2021. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Hosseinzadeh_2021_WACV,
            author = "Hosseinzadeh, Mehrdad and Wang, Yang",
            title = "Video Captioning of Future Frames",
            booktitle = "WACV",
            year = "2021"
        }
        
    Run Time (RT) [10]
      Girase et al., "Latency Matters: Real-Time Action Forecasting Transformer", CVPR, 2023. paper code
        Datasets Metrics
        Bibtex
        @InProceedings{Girase_2023_CVPR,
            author = "Girase, Harshayu and Agarwal, Nakul and Choi, Chiho and Mangalam, Karttikeya",
            title = "Latency Matters: Real-Time Action Forecasting Transformer",
            booktitle = "CVPR",
            year = "2023"
        }
        
      Ito et al., "Anticipating the Start of User Interaction for Service Robot in the Wild", ICRA, 2020. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Ito_2020_ICRA,
            author = "Ito, K. and Kong, Q. and Horiguchi, S. and Sumiyoshi, T. and Nagamatsu, K.",
            booktitle = "ICRA",
            title = "Anticipating the Start of User Interaction for Service Robot in the Wild",
            year = "2020"
        }
        
    Run Time [9]
      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
        Datasets
        • Custom
        Metrics
        Bibtex
        @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"
        }
        
      Gujjar et al., "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes", ICRA, 2019. paper
        Datasets Metrics
        Bibtex
        @InProceedings{Gujjar_2019_ICRA,
            author = "Gujjar, P. and Vaughan, R.",
            booktitle = "ICRA",
            title = "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes",
            year = "2019"
        }
        
      Saleh et al., "Real-Time Intent Prediction Of Pedestrians For Autonomous Ground Vehicles Via Spatio-Temporal DenseNet", ICRA, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Saleh_2019_ICRA,
            author = "Saleh, K. and Hossny, M. and Nahavandi, S.",
            booktitle = "ICRA",
            title = "Real-Time Intent Prediction Of Pedestrians For Autonomous Ground Vehicles Via Spatio-Temporal {DenseNet}",
            year = "2019"
        }
        
    Time [11]
      Arreghini et al., "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues", ICRA, 2024. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @inproceedings{Arreghini_Predicting_2024_ICRA,
            author = "Arreghini, Simone and Abbate, Gabriele and Giusti, Alessandro and Paolillo, Antonio",
            booktitle = "ICRA",
            title = "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues",
            year = "2024"
        }
        
    TNR [11]
      Volz et al., "Feature Relevance Estimation For Learning Pedestrian Behavior At Crosswalks", ITSC, 2015. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Volz_2015_ITSC,
            author = "Volz, Benjamin and Mielenz, Holger and Agamennoni, Gabriel and Siegwart, Roland",
            title = "Feature Relevance Estimation For Learning Pedestrian Behavior At Crosswalks",
            booktitle = "ITSC",
            year = "2015"
        }
        
    True Positive Rate (TPR) [10]
      Arreghini et al., "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues", ICRA, 2024. paper arxiv
        Datasets
        • Custom
        Metrics
        Bibtex
        @inproceedings{Arreghini_Predicting_2024_ICRA,
            author = "Arreghini, Simone and Abbate, Gabriele and Giusti, Alessandro and Paolillo, Antonio",
            booktitle = "ICRA",
            title = "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues",
            year = "2024"
        }
        
      Volz et al., "Feature Relevance Estimation For Learning Pedestrian Behavior At Crosswalks", ITSC, 2015. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Volz_2015_ITSC,
            author = "Volz, Benjamin and Mielenz, Holger and Agamennoni, Gabriel and Siegwart, Roland",
            title = "Feature Relevance Estimation For Learning Pedestrian Behavior At Crosswalks",
            booktitle = "ITSC",
            year = "2015"
        }
        
    Time To Accident (TTA) [9]
      Bao et al., "DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation", ICCV, 2021. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Bao_2021_ICCV,
            author = "Bao, Wentao and Yu, Qi and Kong, Yu",
            title = "{DRIVE}: Deep Reinforced Accident Anticipation With Visual Explanation",
            booktitle = "ICCV",
            year = "2021"
        }
        
      Wang et al., "A Learning-Based Prediction Model For Baby Accidents", ICIP, 2019. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Wang_2019_ICIP,
            author = "Wang, P. and Lien, S. and Lee, M.",
            booktitle = "ICIP",
            title = "A Learning-Based Prediction Model For Baby Accidents",
            year = "2019"
        }
        
      Zeng et al., "Agent-Centric Risk Assessment: Accident Anticipation And Risky Region Localization", CVPR, 2017. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Zeng_2017_CVPR,
            author = "Zeng, Kuo-Hao and Chou, Shih-Han and Chan, Fu-Hsiang and Carlos Niebles, Juan and Sun, Min",
            title = "Agent-Centric Risk Assessment: Accident Anticipation And Risky Region Localization",
            booktitle = "CVPR",
            year = "2017"
        }
        
    Time To Maneuver (TTM) [7]
      Scheel et al., "Attention-Based Lane Change Prediction", ICRA, 2019. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Scheel_2019_ICRA,
            author = "Scheel, O. and Nagaraja, N. S. and Schwarz, L. and Navab, N. and Tombari, F.",
            booktitle = "ICRA",
            title = "Attention-Based Lane Change Prediction",
            year = "2019"
        }
        
      Wu et al., "Gaze-Based Intention Anticipation Over Driving Manoeuvres In Semi-Autonomous Vehicles", IROS, 2019. paper
        Datasets
        • Custom
        Metrics
        Bibtex
        @InProceedings{Wu_2019_IROS,
            author = "Wu, Min and Louw, Tyron and Lahijanian, Morteza and Ruan, Wenjie and Huang, Xiaowei and Merat, Natasha and Kwiatkowska, Marta",
            booktitle = "IROS",
            title = "Gaze-Based Intention Anticipation Over Driving Manoeuvres In Semi-Autonomous Vehicles",
            year = "2019"
        }
        
      Jain et al., "Structural-RNN: Deep Learning On Spatio-Temporal Graphs", CVPR, 2016. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2016_CVPR,
            author = "Jain, Ashesh and Zamir, Amir R. and Savarese, Silvio and Saxena, Ashutosh",
            title = "{Structural-RNN}: Deep Learning On Spatio-Temporal Graphs",
            booktitle = "CVPR",
            year = "2016"
        }
        
      Jain et al., "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture", ICRA, 2016. paper arxiv code
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2016_ICRA,
            author = "Jain, A. and Singh, A. and Koppula, H. S. and Soh, S. and Saxena, A.",
            booktitle = "ICRA",
            title = "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture",
            year = "2016"
        }
        
      Jain et al., "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models", ICCV, 2015. paper arxiv
        Datasets Metrics
        Bibtex
        @InProceedings{Jain_2015_ICCV,
            author = "Jain, Ashesh and Koppula, Hema S. and Raghavan, Bharad and Soh, Shane and Saxena, Ashutosh",
            title = "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models",
            booktitle = "ICCV",
            year = "2015"
        }