Home Video Action Trajectory Motion Other
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
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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" }
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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
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Datasets
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 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
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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
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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
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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
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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
Chen et al., "Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning", IROS, 2021. paper
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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
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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
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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
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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
Zeng et al., "Agent-Centric Risk Assessment: Accident Anticipation And Risky Region Localization", CVPR, 2017. paper arxiv
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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
Gao et al., "RED: Reinforced Encoder-Decoder Networks For Action Anticipation", BMVC, 2017. paper arxiv
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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" }
METEOR [11]
Hosseinzadeh et al., "Video Captioning of Future Frames", WACV, 2021. paper
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
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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
Negative Log-Likelihood (NLL) [11]
Ke et al., "Future Moment Assessment for Action Query", WACV, 2021. paper
Prediction Power (PP) [11]
Ziaeetabar et al., "Prediction Of Manipulation Action Classes Using Semantic Spatial Reasoning", IROS, 2018. paper
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Precision [3]
Rasouli et al., "PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning", ICRA, 2023. paper arxiv
Mascaro et al., "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs", CoRL, 2023. paper arxiv
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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
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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
Rasouli et al., "Bifold and Semantic Reasoning for Pedestrian Behavior Prediction", ICCV, 2021. paper arxiv
Yau et al., "Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction", ICRA, 2021. paper arxiv
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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
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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
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Datasets
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
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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
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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
Ding et al., "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network", ICRA, 2019. paper arxiv
Gujjar et al., "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes", ICRA, 2019. paper
Alati et al., "Help By Predicting What To Do", ICIP, 2019. paper
Wang et al., "A Learning-Based Prediction Model For Baby Accidents", ICIP, 2019. paper
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
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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" }
Kwak et al., "Pedestrian Intention Prediction Based On Dynamic Fuzzy Automata For Vehicle Driving At Nighttime", Infrared Physics & Technology, 2017. paper
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Datasets
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., "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture", ICRA, 2016. paper arxiv code
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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
Schneemann et al., "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments", IROS, 2016. paper
Jain et al., "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models", ICCV, 2015. paper arxiv
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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
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Datasets
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
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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" }
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Recall [2]
Guo et al., "Uncertainty-aware Action Decoupling Transformer for Action Anticipation", CVPR, 2024. paper
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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
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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
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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
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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
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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
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
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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" }
Rasouli et al., "Pedestrian Action Anticipation Using Contextual Feature Fusion In Stacked Rnns", BMVC, 2019. paper arxiv code
Ding et al., "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network", ICRA, 2019. paper arxiv
Gujjar et al., "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes", ICRA, 2019. paper
Alati et al., "Help By Predicting What To Do", ICIP, 2019. paper
Furnari et al., "Egocentric Action Anticipation By Disentangling Encoding And Inference", ICIP, 2019. paper
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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
Suzuki et al., "Anticipating Traffic Accidents With Adaptive Loss And Large-Scale Incident Db", CVPR, 2018. paper arxiv
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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
Mahmud et al., "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos", ICCV, 2017. paper
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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" }
Kwak et al., "Pedestrian Intention Prediction Based On Dynamic Fuzzy Automata For Vehicle Driving At Nighttime", Infrared Physics & Technology, 2017. paper
-
Datasets
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., "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture", ICRA, 2016. paper arxiv code
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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
Schneemann et al., "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments", IROS, 2016. paper
Jain et al., "Car That Knows Before You Do: Anticipating Maneuvers Via Learning Temporal Driving Models", ICCV, 2015. paper arxiv
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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" }
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Root Mean Square Error (RMSE) [8]
Ke et al., "Future Moment Assessment for Action Query", WACV, 2021. paper
Mahmud et al., "Joint Prediction Of Activity Labels And Starting Times In Untrimmed Videos", ICCV, 2017. paper
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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
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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
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Datasets
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
Run Time (RT) [10]
Girase et al., "Latency Matters: Real-Time Action Forecasting Transformer", CVPR, 2023. paper code
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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
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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
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Datasets
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
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Time [11]
Arreghini et al., "Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues", ICRA, 2024. paper arxiv
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Datasets
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
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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
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Datasets
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
Time To Accident (TTA) [9]
Bao et al., "DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation", ICCV, 2021. paper arxiv code
Wang et al., "A Learning-Based Prediction Model For Baby Accidents", ICIP, 2019. paper
Zeng et al., "Agent-Centric Risk Assessment: Accident Anticipation And Risky Region Localization", CVPR, 2017. paper arxiv
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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" }
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Time To Maneuver (TTM) [7]
Wu et al., "Gaze-Based Intention Anticipation Over Driving Manoeuvres In Semi-Autonomous Vehicles", IROS, 2019. paper
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Datasets
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., "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture", ICRA, 2016. paper arxiv code
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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
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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" }