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Trajectory Papers with Code

    Bae et al., "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Bae_Can_2024_CVPR,
    author = "Bae, Inhwan and Lee, Junoh and Jeon, Hae-Gon",
    title = "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction",
    booktitle = "CVPR",
    year = "2024"
}
    Lou et al., "Multimodal Sense-Informed Forecasting of 3D Human Motions", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Lou_Multimodal_2024_CVPR,
    author = "Lou, Zhenyu and Cui, Qiongjie and Wang, Haofan and Tang, Xu and Zhou, Hong",
    title = "Multimodal Sense-Informed Forecasting of 3D Human Motions",
    booktitle = "CVPR",
    year = "2024"
}
    Wang et al., "Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Wang_Self_2024_CVPR,
    author = "Wang, Kewei and Wu, Yizheng and Cen, Jun and Pan, Zhiyu and Li, Xingyi and Wang, Zhe and Cao, Zhiguo and Lin, Guosheng",
    title = "Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations",
    booktitle = "CVPR",
    year = "2024"
}
    Zhou et al., "SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Zhou_SmartRefine_2024_CVPR,
    author = "Zhou, Yang and Shao, Hao and Wang, Letian and Waslander, Steven L. and Li, Hongsheng and Liu, Yu",
    title = "SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction",
    booktitle = "CVPR",
    year = "2024"
}
    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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      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"
}
    Tang et al., "HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Tang_HPNet_2024_CVPR,
    author = "Tang, Xiaolong and Kan, Meina and Shan, Shiguang and Ji, Zhilong and Bai, Jinfeng and Chen, Xilin",
    title = "HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention",
    booktitle = "CVPR",
    year = "2024"
}
    Yang et al., "Generalized Predictive Model for Autonomous Driving", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Yang_Generalized_2024_CVPR,
    author = "Yang, Jiazhi and Gao, Shenyuan and Qiu, Yihang and Chen, Li and Li, Tianyu and Dai, Bo and Chitta, Kashyap and Wu, Penghao and Zeng, Jia and Luo, Ping and Zhang, Jun and Geiger, Andreas and Qiao, Yu and Li, Hongyang",
    title = "Generalized Predictive Model for Autonomous Driving",
    booktitle = "CVPR",
    year = "2024"
}
    Park et al., "T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Park_T4P_2024_CVPR,
    author = "Park, Daehee and Jeong, Jaeseok and Yoon, Sung-Hoon and Jeong, Jaewoo and Yoon, Kuk-Jin",
    title = "T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory",
    booktitle = "CVPR",
    year = "2024"
}
    Wong et al., "SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Wong_SocialCircle_2024_CVPR,
    author = "Wong, Conghao and Xia, Beihao and Zou, Ziqian and Wang, Yulong and You, Xinge",
    title = "SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year = "2024"
}
    Lu et al., "Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Lu_Quantifying_2024_CVPR,
    author = "Lu, Juanwu and Cui, Can and Ma, Yunsheng and Bera, Aniket and Wang, Ziran",
    title = "Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture",
    booktitle = "CVPR",
    year = "2024"
}
    Bae et al., "SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Bae_SingularTrajectory_2024_CVPR,
    author = "Bae, Inhwan and Park, Young-Jae and Jeon, Hae-Gon",
    title = "SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model",
    booktitle = "CVPR",
    year = "2024"
}
    Gu et al., "Producing and Leveraging Online Map Uncertainty in Trajectory Prediction", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Gu_Producing_2024_CVPR,
    author = "Gu, Xunjiang and Song, Guanyu and Gilitschenski, Igor and Pavone, Marco and Ivanovic, Boris",
    title = "Producing and Leveraging Online Map Uncertainty in Trajectory Prediction",
    booktitle = "CVPR",
    year = "2024"
}
    Yang et al., "Visual Point Cloud Forecasting enables Scalable Autonomous Driving", CVPR, 2024. paper arxiv code
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      Bibtex 
      @InProceedings{Yang_Visual_2024_CVPR,
    author = "Yang, Zetong and Chen, Li and Sun, Yanan and Li, Hongyang",
    title = "Visual Point Cloud Forecasting enables Scalable Autonomous Driving",
    booktitle = "CVPR",
    year = "2024"
}
    chib et al., "MS-TIP: Imputation Aware Pedestrian Trajectory Prediction", ICML, 2024. paper code
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      Bibtex 
      @inproceedings{Chip_MSTIP_2024_ICML,
    author = "singh chib, Pranav and Nath, Achintya and Kabra, Paritosh and Gupta, Ishu and Singh, Pravendra",
    title = "{MS}-{TIP}: Imputation Aware Pedestrian Trajectory Prediction",
    booktitle = "ICML",
    year = "2024"
}
    Saadatnejad et al., "Social-Transmotion: Promptable Human Trajectory Prediction", ICLR, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Saadatnejad_socialtransmotion_2024_ICLR,
    author = "Saadatnejad, Saeed and Gao, Yang and Messaoud, Kaouther and Alahi, Alexandre",
    title = "Social-Transmotion: Promptable Human Trajectory Prediction",
    booktitle = "ICLR",
    year = "2024"
}
    Rasouli, "A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Rasouli_Novel_2024_ICRA,
    author = "Rasouli, Amir",
    booktitle = "ICRA",
    title = "A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction",
    year = "2024"
}
    Huang et al., "DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Huang_DTPP_2024_ICRA,
    author = "Huang, Zhiyu and Karkus, Peter and Ivanovic, Boris and Chen, Yuxiao and Pavone, Marco and Lv, Chen",
    booktitle = "ICRA",
    title = "DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving",
    year = "2024"
}
    Chen et al., "CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Chen_CRITERIA_2024_ICRA,
    author = "Chen, Changhe and Pourkeshavarz, Mozhgan and Rasouli, Amir",
    booktitle = "ICRA",
    title = "CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving",
    year = "2024"
}
    Wang et al., "ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Wang_ESP_2024_ICRA,
    author = "Wang, Dingrui and Lai, Zheyuan and Li, Yuda and Wu, Yi and Ma, Yuexin and Betz, Johannes and Yang, Ruigang and Li, Wei",
    booktitle = "ICRA",
    title = "ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios",
    year = "2024"
}
    Weerasinghe et al., "Multimodal Transformers for Real-Time Surgical Activity Prediction", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Weerasinghe_Multimodal_2024_ICRA,
    author = "Weerasinghe, Keshara and Reza Roodabeh, Seyed Hamid and Hutchinson, Kay and Alemzadeh, Homa",
    booktitle = "ICRA",
    title = "Multimodal Transformers for Real-Time Surgical Activity Prediction",
    year = "2024"
}
    Wang et al., "Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Wang_Improving_2024_ICRA,
    author = "Wang, Sheng and Chen, Yingbing and Cheng, Jie and Mei, Xiaodong and Xin, Ren and Song, Yongkang and Liu, Ming",
    booktitle = "ICRA",
    title = "Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions",
    year = "2024"
}
    Xu et al., "Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?", ICRA, 2024. paper arxiv code
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      Bibtex 
      @inproceedings{Xu_Towards_2024_ICRA,
    author = "Xu, Yihong and Chambon, Loïck and Zablocki, Éloi and Chen, Mickaël and Alahi, Alexandre and Cord, Matthieu and Pérez, Patrick",
    booktitle = "ICRA",
    title = "Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?",
    year = "2024"
}
    Sun et al., "SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction Using Knowledge Graphs", RAL, 2024. paper arxiv code
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      Bibtex 
      @ARTICLE{Sun_SemanticFormer_2024_RAL,
    author = "Sun, Zhigang and Wang, Zixu and Halilaj, Lavdim and Luettin, Juergen",
    journal = "RAL",
    title = "SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction Using Knowledge Graphs",
    year = "2024",
    volume = "9",
    number = "9",
    pages = "7381-7388"
}
    Chen et al., "Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Chen_2023_CVPR,
    author = "Chen, Guangyi and Chen, Zhenhao and Fan, Shunxing and Zhang, Kun",
    title = "Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction",
    booktitle = "CVPR",
    year = "2023"
}
    Fang et al., "TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Fang_2023_CVPR,
    author = "Fang, Shaoheng and Wang, Zi and Zhong, Yiqi and Ge, Junhao and Chen, Siheng",
    title = "TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving",
    booktitle = "CVPR",
    year = "2023"
}
    Gu et al., "ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Gu_2023_CVPR,
    author = "Gu, Junru and Hu, Chenxu and Zhang, Tianyuan and Chen, Xuanyao and Wang, Yilun and Wang, Yue and Zhao, Hang",
    title = "ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries",
    booktitle = "CVPR",
    year = "2023"
}
    Mao et al., "Leapfrog Diffusion Model for Stochastic Trajectory Prediction", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Mao_2023_CVPR,
    author = "Mao, Weibo and Xu, Chenxin and Zhu, Qi and Chen, Siheng and Wang, Yanfeng",
    title = "Leapfrog Diffusion Model for Stochastic Trajectory Prediction",
    booktitle = "CVPR",
    year = "2023"
}
    Rowe et al., "FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Rowe_2023_CVPR,
    author = "Rowe, Luke and Ethier, Martin and Dykhne, Eli-Henry and Czarnecki, Krzysztof",
    title = "FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs",
    booktitle = "CVPR",
    year = "2023"
}
    Xu et al., "Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Xu_2023_CVPR,
    author = "Xu, Yi and Bazarjani, Armin and Chi, Hyung-gun and Choi, Chiho and Fu, Yun",
    title = "Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction",
    booktitle = "CVPR",
    year = "2023"
}
    Yu et al., "V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting", CVPR, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Yu_2023_CVPR,
    author = "Yu, Haibao and Yang, Wenxian and Ruan, Hongzhi and Yang, Zhenwei and Tang, Yingjuan and Gao, Xu and Hao, Xin and Shi, Yifeng and Pan, Yifeng and Sun, Ning and Song, Juan and Yuan, Jirui and Luo, Ping and Nie, Zaiqing",
    title = "V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting",
    booktitle = "CVPR",
    year = "2023"
}
    Aydemir et al., "ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Aydemir_2023_ICCV,
    author = "Aydemir, Gorkay and Akan, Adil Kaan and Guney, Fatma",
    title = "ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation",
    booktitle = "ICCV",
    year = "2023"
}
    Bae et al., "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Bae_2023_ICCV,
    author = "Bae, Inhwan and Oh, Jean and Jeon, Hae-Gon",
    title = "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting",
    booktitle = "ICCV",
    year = "2023"
}
    Chen et al., "Traj-MAE: Masked Autoencoders for Trajectory Prediction", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Chen_2023_ICCV,
    author = "Chen, Hao and Wang, Jiaze and Shao, Kun and Liu, Furui and Hao, Jianye and Guan, Chenyong and Chen, Guangyong and Heng, Pheng-Ann",
    title = "Traj-MAE: Masked Autoencoders for Trajectory Prediction",
    booktitle = "ICCV",
    year = "2023"
}
    Cheng et al., "Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders", ICCV, 2023. paper code
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      Bibtex 
      @InProceedings{Cheng_2023_ICCV,
    author = "Cheng, Jie and Mei, Xiaodong and Liu, Ming",
    title = "Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders",
    booktitle = "ICCV",
    year = "2023"
}
    Huang et al., "GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Huang_2023_ICCV,
    author = "Huang, Zhiyu and Liu, Haochen and Lv, Chen",
    title = "GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving",
    booktitle = "ICCV",
    year = "2023"
}
    Jiao et al., "Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Jiao_2023_ICCV,
    author = "Jiao, Ruochen and Liu, Xiangguo and Sato, Takami and Chen, Qi Alfred and Zhu, Qi",
    title = "Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction",
    booktitle = "ICCV",
    year = "2023"
}
    Maeda et al., "Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Maeda_2023_ICCV,
    author = "Maeda, Takahiro and Ukita, Norimichi",
    title = "Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction",
    booktitle = "ICCV",
    year = "2023"
}
    Weng et al., "Joint Metrics Matter: A Better Standard for Trajectory Forecasting", ICCV, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Weng_2023_ICCV,
    author = "Weng, Erica and Hoshino, Hana and Ramanan, Deva and Kitani, Kris",
    title = "Joint Metrics Matter: A Better Standard for Trajectory Forecasting",
    booktitle = "ICCV",
    year = "2023"
}
    Yan et al., "INT2: Interactive Trajectory Prediction at Intersections", ICCV, 2023. paper code
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      Bibtex 
      @InProceedings{Yan_2023_ICCV,
    author = "Yan, Zhijie and Li, Pengfei and Fu, Zheng and Xu, Shaocong and Shi, Yongliang and Chen, Xiaoxue and Zheng, Yuhang and Li, Yang and Liu, Tianyu and Li, Chuxuan and Luo, Nairui and Gao, Xu and Chen, Yilun and Wang, Zuoxu and Shi, Yifeng and Huang, Pengfei and Han, Zhengxiao and Yuan, Jirui and Gong, Jiangtao and Zhou, Guyue and Zhao, Hang and Zhao, Hao",
    title = "INT2: Interactive Trajectory Prediction at Intersections",
    booktitle = "ICCV",
    year = "2023"
}
    Cui et al., "GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting", ICRA, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Cui_2023_ICRA,
    author = "Cui, Alexander and Casas, Sergio and Wong, Kelvin and Suo, Simon and Urtasun, Raquel",
    title = "GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting",
    booktitle = "ICRA",
    year = "2023"
}
    Ivanovic et al., "Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning", ICRA, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Ivanovic_2023_ICRA,
    author = "Ivanovic, Boris and Harrison, James and Pavone, Marco",
    title = "Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning",
    booktitle = "ICRA",
    year = "2023"
}
    Mahdavian et al., "STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead", ICRA, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Mahdavian_2023_ICRA,
    author = "Mahdavian, Mohammad and Nikdel, Payam and TaherAhmadi, Mahdi and Chen, Mo",
    title = "STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead",
    booktitle = "ICRA",
    year = "2023"
}
    Pini et al., "Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts", ICRA, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Pini_2023_ICRA,
    author = "Pini, Stefano and Perone, Christian S. and Ahuja, Aayush and Ferreira, Ana Sofia Rufino and Niendorf, Moritz and Zagoruyko, Sergey",
    title = "Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts",
    booktitle = "ICRA",
    year = "2023"
}
    Schmidt et al., "Exploring Navigation Maps for Learning-Based Motion Prediction", ICRA, 2023. paper arxiv code
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      Bibtex 
      @InProceedings{Schmidt_2023_ICRA,
    author = "Schmidt, Julian and Jordan, Julian and Gritschneder, Franz and Monninger, Thomas and Dietmayer, Klaus",
    title = "Exploring Navigation Maps for Learning-Based Motion Prediction",
    booktitle = "ICRA",
    year = "2023"
}
    Xu et al., "Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction", RAL, 2023. paper arxiv code
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      Bibtex 
      @ARTICLE{Xu_Context_2023_RAL,
    author = "Xu, Pei and Hayet, Jean-Bernard and Karamouzas, Ioannis",
    journal = "RAL",
    title = "Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction",
    year = "2023",
    volume = "8",
    number = "9",
    pages = "5440-5447"
}
    Kedia et al., "A Game-Theoretic Framework for Joint Forecasting and Planning", IROS, 2023. paper arxiv code
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      Bibtex 
      @INPROCEEDINGS{Kedia_2023_IROS,
    author = "Kedia, Kushal and Dan, Prithwish and Choudhury, Sanjiban",
    booktitle = "IROS",
    title = "A Game-Theoretic Framework for Joint Forecasting and Planning",
    year = "2023"
}
    Pang et al., "Streaming Motion Forecasting for Autonomous Driving", IROS, 2023. paper arxiv code
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      Bibtex 
      @INPROCEEDINGS{Pang_2023_IROS,
    author = "Pang, Ziqi and Ramanan, Deva and Li, Mengtian and Wang, Yu-Xiong",
    booktitle = "IROS",
    title = "Streaming Motion Forecasting for Autonomous Driving",
    year = "2023"
}
    Poddar et al., "From Crowd Motion Prediction to Robot Navigation in Crowds", IROS, 2023. paper arxiv code
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      Bibtex 
      @INPROCEEDINGS{Poddar_2023_IROS,
    author = "Poddar, Sriyash and Mavrogiannis, Christoforos and Srinivasa, Siddhartha S.",
    booktitle = "IROS",
    title = "From Crowd Motion Prediction to Robot Navigation in Crowds",
    year = "2023"
}
    Sharma et al., "Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction", IROS, 2023. paper arxiv code
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      Bibtex 
      @INPROCEEDINGS{Sharma_2023_IROS_1,
    author = "Sharma, Basant and Sharma, Aditya and Krishna, K.Madhava and Singh, Arun Kumar",
    booktitle = "IROS",
    title = "Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction",
    year = "2023"
}
    Diehl et al., "Energy-based Potential Games for Joint Motion Forecasting and Control", CoRL, 2023. paper code
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      Bibtex 
      @InProceedings{Diehl_2023_CoRL,
    author = "Diehl, Christopher and Klosek, Tobias and Krueger, Martin and Murzyn, Nils and Osterburg, Timo and Bertram, Torsten",
    title = "Energy-based Potential Games for Joint Motion Forecasting and Control",
    booktitle = "CoRL",
    year = "2023"
}
    Bae et al., "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Bae_2022_CVPR,
    author = "Bae, Inhwan and Park, Jin-Hwi and Jeon, Hae-Gon",
    title = "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction",
    booktitle = "CVPR",
    year = "2022"
}
    Bahari et al., "Vehicle Trajectory Prediction Works, but Not Everywhere", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Bahari_2022_CVPR,
    author = "Bahari, Mohammadhossein and Saadatnejad, Saeed and Rahimi, Ahmad and Shaverdikondori, Mohammad and Shahidzadeh, Amir Hossein and Moosavi-Dezfooli, Seyed-Mohsen and Alahi, Alexandre",
    title = "Vehicle Trajectory Prediction Works, but Not Everywhere",
    booktitle = "CVPR",
    year = "2022"
}
    Chen et al., "ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning", CVPR, 2022. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Chen_2022_CVPR,
    author = "Chen, Yuxiao and Ivanovic, Boris and Pavone, Marco",
    title = "{ScePT}: Scene-Consistent, Policy-Based Trajectory Predictions for Planning",
    booktitle = "CVPR",
    year = "2022"
}
    Gu et al., "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Gu_2022_CVPR,
    author = "Gu, Tianpei and Chen, Guangyi and Li, Junlong and Lin, Chunze and Rao, Yongming and Zhou, Jie and Lu, Jiwen",
    title = "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion",
    booktitle = "CVPR",
    year = "2022"
}
    Guo et al., "End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Guo_2022_CVPR,
    author = "Guo, Ke and Liu, Wenxi and Pan, Jia",
    title = "End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps",
    booktitle = "CVPR",
    year = "2022"
}
    Li et al., "Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Li_2022_CVPR,
    author = "Li, Lihuan and Pagnucco, Maurice and Song, Yang",
    title = "Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year = "2022"
}
    Peri et al., "Forecasting From LiDAR via Future Object Detection", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Peri_2022_CVPR,
    author = "Peri, Neehar and Luiten, Jonathon and Li, Mengtian and O\v{s}ep, Aljo\v{s}a and Leal-Taix\'e, Laura and Ramanan, Deva",
    title = "Forecasting From {LiDAR} via Future Object Detection",
    booktitle = "CVPR",
    year = "2022"
}
    Sun et al., "M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Sun_2022_CVPR,
    author = "Sun, Qiao and Huang, Xin and Gu, Junru and Williams, Brian C. and Zhao, Hang",
    title = "{M2I}: From Factored Marginal Trajectory Prediction to Interactive Prediction",
    booktitle = "CVPR",
    year = "2022"
}
    Weng et al., "Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction", CVPR, 2022. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Weng_2022_CVPR,
    author = "Weng, Xinshuo and Ivanovic, Boris and Kitani, Kris and Pavone, Marco",
    title = "Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction",
    booktitle = "CVPR",
    year = "2022"
}
    Xu et al., "Remember Intentions: Retrospective-Memory-Based Trajectory Prediction", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Xu_2022_CVPR,
    author = "Xu, Chenxin and Mao, Weibo and Zhang, Wenjun and Chen, Siheng",
    title = "Remember Intentions: Retrospective-Memory-Based Trajectory Prediction",
    booktitle = "CVPR",
    year = "2022"
}
    Zhang et al., "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhang_2022_CVPR,
    author = "Zhang, Qingzhao and Hu, Shengtuo and Sun, Jiachen and Chen, Qi Alfred and Mao, Z. Morley",
    title = "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles",
    booktitle = "CVPR",
    year = "2022"
}
    Zhou et al., "HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction", CVPR, 2022. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhou_2022_CVPR,
    author = "Zhou, Zikang and Ye, Luyao and Wang, Jianping and Wu, Kui and Lu, Kejie",
    title = "{HiVT}: Hierarchical Vector Transformer for Multi-Agent Motion Prediction",
    booktitle = "CVPR",
    year = "2022"
}
    Wang et al., "BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement", CVPR, 2022. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Wang_2022_CVPR_2,
    author = "Wang, Yunlong and Pan, Hongyu and Zhu, Jun and Wu, Yu-Huan and Zhan, Xin and Jiang, Kun and Yang, Diange",
    title = "{BE-STI}: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement",
    booktitle = "CVPR",
    year = "2022"
}
    Xu et al., "GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning", CVPR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Xu_2022_CVPR_2,
    author = "Xu, Chenxin and Li, Maosen and Ni, Zhenyang and Zhang, Ya and Chen, Siheng",
    title = "{GroupNet}: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning",
    booktitle = "CVPR",
    year = "2022"
}
    Xu et al., "PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Xu_2022_ECCV_3,
    author = "Xu, Chenfeng and Li, Tian and Tang, Chen and Sun, Lingfeng and Keutzer, Kurt and Tomizuka, Masayoshi and Fathi, Alireza and Zhan, Wei",
    title = "{PreTraM}: Self-Supervised Pre-training via Connecting Trajectory and Map",
    booktitle = "ECCV",
    year = "2022"
}
    Bae et al., "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Bae_2022_ECCV,
    author = "Bae, Inhwan and Park, Jin-Hwi and Jeon, Hae-Gon",
    title = "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction",
    booktitle = "ECCV",
    year = "2022"
}
    Cao et al., "AdvDO: Realistic Adversarial Attacks for Trajectory Prediction", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Cao_2022_ECCV,
    author = "Cao, Yulong and Xiao, Chaowei and Anandkumar, Anima and Xu, Danfei and Pavone, Marco",
    title = "{AdvDO}: Realistic Adversarial Attacks for Trajectory Prediction",
    booktitle = "ECCV",
    year = "2022"
}
    Choi et al., "Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Choi_2022_ECCV,
    author = "Choi, Dooseop and Min, KyoungWook",
    title = "Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting",
    booktitle = "ECCV",
    year = "2022"
}
    Mohamed et al., "Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Mohamed_2022_ECCV,
    author = "Mohamed, Abduallah and Zhu, Deyao and Vu, Warren and Elhoseiny, Mohamed and Claudel, Christian",
    title = "{Social-Implicit}: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation",
    booktitle = "ECCV",
    year = "2022"
}
    Tsao et al., "Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction", ECCV, 2022. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Tsao_2022_ECCV,
    author = "Tsao, Li-Wu and Wang, Yan-Kai and Lin, Hao-Siang and Shuai, Hong-Han and Wong, Lai-Kuan and Cheng, Wen-Huang",
    title = "{Social-SSL}: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction",
    booktitle = "ECCV",
    year = "2022"
}
    Wong et al., "View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Wong_2022_ECCV,
    author = "Wong, Conghao and Xia, Beihao and Hong, Ziming and Peng, Qinmu and Yuan, Wei and Cao, Qiong and Yang, Yibo and You, Xinge",
    title = "View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums",
    booktitle = "ECCV",
    year = "2022"
}
    Xu et al., "SocialVAE: Human Trajectory Prediction Using Timewise Latents", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Xu_2022_ECCV,
    author = "Xu, Pei and Hayet, Jean-Bernard and Karamouzas, Ioannis",
    title = "{SocialVAE}: Human Trajectory Prediction Using Timewise Latents",
    booktitle = "ECCV",
    year = "2022"
}
    Yue et al., "Human Trajectory Prediction via Neural Social Physics", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Yue_2022_ECCV,
    author = "Yue, Jiangbei and Manocha, Dinesh and Wang, He",
    title = "Human Trajectory Prediction via Neural Social Physics",
    booktitle = "ECCV",
    year = "2022"
}
    Zhang et al., "D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhang_2022_ECCV,
    author = "Zhang, Yuzhen and Wang, Wentong and Guo, Weizhi and Lv, Pei and Xu, Mingliang and Chen, Wei and Manocha, Dinesh",
    title = "{D2-TPred}: Discontinuous Dependency for Trajectory Prediction under Traffic Lights",
    booktitle = "ECCV",
    year = "2022"
}
    Zhong et al., "Aware of the History: Trajectory Forecasting with the Local Behavior Data", ECCV, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhong_2022_ECCV,
    author = "Zhong, Yiqi and Ni, Zhenyang and Chen, Siheng and Neumann, Ulrich",
    title = "Aware of the History: Trajectory Forecasting with the Local Behavior Data",
    booktitle = "ECCV",
    year = "2022"
}
    Bhattacharyya et al., "SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving", CoRL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Bhattacharyya_2022_CoRL,
    author = "Bhattacharyya, Prarthana and Huang, Chengjie and Czarnecki, Krzysztof",
    title = "{SSL}-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving",
    booktitle = "CoRL",
    year = "2022"
}
    Cao et al., "Robust Trajectory Prediction against Adversarial Attacks", CoRL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Cao_2022_CoRL,
    author = "Cao, Yulong and Xu, Danfei and Weng, Xinshuo and Mao, Zhuoqing and Anandkumar, Anima and Xiao, Chaowei and Pavone, Marco",
    title = "Robust Trajectory Prediction against Adversarial Attacks",
    booktitle = "CoRL",
    year = "2022"
}
    Itkina et al., "Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction", CoRL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Itkina_2022_CoRL,
    author = "Itkina, Masha and Kochenderfer, Mykel",
    title = "Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction",
    booktitle = "CoRL",
    year = "2022"
}
    Kothari et al., "Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting", CoRL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Kothari_2022_CoRL,
    author = "Kothari, Parth and Li, Danya and Liu, Yuejiang and Alahi, Alexandre",
    title = "Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting",
    booktitle = "CoRL",
    year = "2022"
}
    Nishimura et al., "RAP: Risk-Aware Prediction for Robust Planning", CoRL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Nishimura_2022_CoRL,
    author = "Nishimura, Haruki and Mercat, Jean and Wulfe, Blake and McAllister, Rowan Thomas and Gaidon, Adrien",
    title = "{RAP}: Risk-Aware Prediction for Robust Planning",
    booktitle = "CoRL",
    year = "2022"
}
    Dendorfer et al., "Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?", NeurIPS, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Dendorfer_2022_NeurIPS,
    author = "Dendorfer, Patrick and Yugay, Vladimir and Osep, Aljosa and Leal-Taix{\'e}, Laura",
    title = "{Quo Vadis}: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?",
    booktitle = "NeurIPS",
    year = "2022"
}
    Fassmeyer et al., "Semi-Supervised Generative Models for Multiagent Trajectories", NeurIPS, 2022. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Fassmeyer_2022_NeurIPS,
    author = "Fassmeyer, Dennis and Fassmeyer, Pascal and Brefeld, Ulf",
    title = "Semi-Supervised Generative Models for Multiagent Trajectories",
    booktitle = "NeurIPS",
    year = "2022"
}
    Meng et al., "Forecasting Human Trajectory from Scene History", NeurIPS, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Meng_2022_NeurIPS,
    author = "Meng, Mancheng and Wu, Ziyan and Chen, Terrence and Cai, Xiran and Zhou, Xiang Sean and Yang, Fan and Shen, Dinggang",
    title = "Forecasting Human Trajectory from Scene History",
    booktitle = "NeurIPS",
    year = "2022"
}
    Girgis et al., "Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction", ICLR, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Girgis_2022_ICLR,
    author = "Girgis, Roger and Golemo, Florian and Codevilla, Felipe and Weiss, Martin and D'Souza, Jim Aldon and Kahou, Samira Ebrahimi and Heide, Felix and Pal, Christopher",
    title = "Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction",
    booktitle = "ICLR",
    year = "2022"
}
    Hasan et al., "Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction", ICRA, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Hasan_2022_ICRA,
    author = "Hasan, Aamir and Sriram, Pranav and Driggs-Campbell, Katherine",
    booktitle = "ICRA",
    title = "Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction",
    year = "2022"
}
    Ivanovic et al., "Propagating State Uncertainty Through Trajectory Forecasting", ICRA, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Ivanovic_2022_ICRA,
    author = "Ivanovic, Boris and Lin, Yifeng and Shrivastava, Shubham and Chakravarty, Punarjay and Pavone, Marco",
    booktitle = "ICRA",
    title = "Propagating State Uncertainty Through Trajectory Forecasting",
    year = "2022"
}
    Patrikar et al., "Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace", ICRA, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Patrikar_2022_ICRA,
    author = "Patrikar, Jay and Moon, Brady and Oh, Jean and Scherer, Sebastian",
    booktitle = "ICRA",
    title = "Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace",
    year = "2022"
}
    Huang et al., "Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction", RAL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @ARTICLE{Huang_Learning_2022_RAL,
    author = "Huang, Zhe and Li, Ruohua and Shin, Kazuki and Driggs-Campbell, Katherine",
    journal = "RAL",
    title = "Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction",
    year = "2022",
    volume = "7",
    number = "2",
    pages = "1198-1205"
}
    Wang et al., "Stepwise Goal-Driven Networks for Trajectory Prediction", RAL, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @Article{Wang_2022_RAL_2,
    author = "Wang, Chuhua and Wang, Yuchen and Xu, Mingze and Crandall, David J.",
    journal = "RAL",
    title = "Stepwise Goal-Driven Networks for Trajectory Prediction",
    year = "2022",
    volume = "7",
    number = "2",
    pages = "2716-2723"
}
    Ivanovic et al., "Heterogeneous-agent Trajectory Forecasting Incorporating Class Uncertainty", IROS, 2022. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Ivanovic_2022_IROS,
    author = "Ivanovic, Boris and Lee, Kuan-Hui and Tokmakov, Pavel and Wulfe, Blake and Mcllister, Rowan and Gaidon, Adrien and Pavone, Marco",
    booktitle = "IROS",
    title = "Heterogeneous-agent Trajectory Forecasting Incorporating Class Uncertainty",
    year = "2022"
}
    Zhu et al., "HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents", ICLR, 2021. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Deyao_2021_ICLR,
    author = "Zhu, Deyao and Zahran, Mohamed and Li, Li Erran and Elhoseiny, Mohamed",
    booktitle = "ICLR",
    title = "{HalentNet}: Multimodal Trajectory Forecasting with Hallucinative Intents",
    year = "2021"
}
    Walters et al., "Trajectory Prediction using Equivariant Continuous Convolution", ICLR, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Walters_2021_ICLR,
    author = "Walters, Robin and Li, Jinxi and Yu, Rose",
    booktitle = "ICLR",
    title = "Trajectory Prediction using Equivariant Continuous Convolution",
    year = "2021"
}
    Liu et al., "Multimodal Motion Prediction With Stacked Transformers", CVPR, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Liu_2021_CVPR,
    author = "Liu, Yicheng and Zhang, Jinghuai and Fang, Liangji and Jiang, Qinhong and Zhou, Bolei",
    title = "Multimodal Motion Prediction With Stacked Transformers",
    booktitle = "CVPR",
    year = "2021"
}
    Neumann et al., "Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera", CVPR, 2021. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Neumann_2021_CVPR,
    author = "Neumann, Lukas and Vedaldi, Andrea",
    title = "Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera",
    booktitle = "CVPR",
    year = "2021"
}
    Pang et al., "Trajectory Prediction With Latent Belief Energy-Based Model", CVPR, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Pang_2021_CVPR,
    author = "Pang, Bo and Zhao, Tianyang and Xie, Xu and Wu, Ying Nian",
    title = "Trajectory Prediction With Latent Belief Energy-Based Model",
    booktitle = "CVPR",
    year = "2021"
}
    Shi et al., "SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction", CVPR, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Shi_2021_CVPR,
    author = "Shi, Liushuai and Wang, Le and Long, Chengjiang and Zhou, Sanping and Zhou, Mo and Niu, Zhenxing and Hua, Gang",
    title = "{SGCN}: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year = "2021"
}
    Chen et al., "Personalized Trajectory Prediction via Distribution Discrimination", ICCV, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Chen_2021_ICCV,
    author = "Chen, Guangyi and Li, Junlong and Zhou, Nuoxing and Ren, Liangliang and Lu, Jiwen",
    title = "Personalized Trajectory Prediction via Distribution Discrimination",
    booktitle = "ICCV",
    year = "2021"
}
    Ma et al., "Likelihood-Based Diverse Sampling for Trajectory Forecasting", ICCV, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Ma_2021_ICCV,
    author = "Ma, Yecheng Jason and Inala, Jeevana Priya and Jayaraman, Dinesh and Bastani, Osbert",
    title = "Likelihood-Based Diverse Sampling for Trajectory Forecasting",
    booktitle = "ICCV",
    year = "2021"
}
    Makansi et al., "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors", ICCV, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Makansi_2021_ICCV,
    author = "Makansi, Osama and Cicek, Ozgun and Marrakchi, Yassine and Brox, Thomas",
    title = "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors",
    booktitle = "ICCV",
    year = "2021"
}
    Mangalam et al., "From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting", ICCV, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Mangalam_2021_ICCV,
    author = "Mangalam, Karttikeya and An, Yang and Girase, Harshayu and Malik, Jitendra",
    title = "From Goals, Waypoints \& Paths to Long Term Human Trajectory Forecasting",
    booktitle = "ICCV",
    year = "2021"
}
    Yuan et al., "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting", ICCV, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Yuan_2021_ICCV,
    author = "Yuan, Ye and Weng, Xinshuo and Ou, Yanglan and Kitani, Kris M.",
    title = "{AgentFormer}: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting",
    booktitle = "ICCV",
    year = "2021"
}
    Zhao et al., "Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples", ICCV, 2021. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhao_2021_ICCV,
    author = "Zhao, He and Wildes, Richard P.",
    title = "Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples",
    booktitle = "ICCV",
    year = "2021"
}
    Chen et al., "Human Trajectory Prediction via Counterfactual Analysis", ICCV, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Chen_2021_ICCV_2,
    author = "Chen, Guangyi and Li, Junlong and Lu, Jiwen and Zhou, Jie",
    title = "Human Trajectory Prediction via Counterfactual Analysis",
    booktitle = "ICCV",
    year = "2021"
}
    Albrecht et al., "Interpretable Goal-based Prediction and Planning for Autonomous Driving", ICRA, 2021. paper arxiv code
      Datasets
      • Custom
      Metrics
      Bibtex 
      @InProceedings{Albrecht_2021_ICRA,
    author = "Albrecht, Stefano V. and Brewitt, Cillian and Wilhelm, John and Gyevnar, Balint and Eiras, Francisco and Dobre, Mihai and Ramamoorthy, Subramanian",
    booktitle = "ICRA",
    title = "Interpretable Goal-based Prediction and Planning for Autonomous Driving",
    year = "2021"
}
    Cheng et al., "Exploring Dynamic Context for Multi-path Trajectory Prediction", ICRA, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Cheng_2021_ICRA,
    author = "Cheng, Hao and Liao, Wentong and Tang, Xuejiao and Yang, Michael Ying and Sester, Monika and Rosenhahn, Bodo",
    booktitle = "ICRA",
    title = "Exploring Dynamic Context for Multi-path Trajectory Prediction",
    year = "2021"
}
    Xie et al., "Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance", ICRA, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Xie_2021_ICRA,
    author = "Xie, Xu and Zhang, Chi and Zhu, Yixin and Wu, Ying Nian and Zhu, Song-Chun",
    booktitle = "ICRA",
    title = "Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance",
    year = "2021"
}
    Anderson et al., "A Kinematic Model for Trajectory Prediction in General Highway Scenarios", RAL, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @Article{Anderson_2021_RAL,
    author = "Anderson, Cyrus and Vasudevan, Ram and Johnson-Roberson, Matthew",
    journal = "RAL",
    title = "A Kinematic Model for Trajectory Prediction in General Highway Scenarios",
    year = "2021",
    volume = "6",
    number = "4",
    pages = "6757-6764"
}
    Le et al., "LUCIDGames: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning", RAL, 2021. paper arxiv code
      Datasets
      • Custom
      Metrics
      Bibtex 
      @Article{Cleac_2021_RAL,
    author = "Le Cleac’h, Simon and Schwager, Mac and Manchester, Zachary",
    journal = "RAL",
    title = "{LUCIDGames}: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning",
    year = "2021",
    volume = "6",
    number = "3",
    pages = "5485-5492"
}
    Yao et al., "BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation", RAL, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @Article{Yao_2021_RAL,
    author = "Yao, Yu and Atkins, Ella and Johnson-Roberson, Matthew and Vasudevan, Ram and Du, Xiaoxiao",
    journal = "RAL",
    title = "{BiTraP}: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation",
    year = "2021",
    volume = "6",
    number = "2",
    pages = "3459-3466"
}
    Agarwal et al., "Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration", IROS, 2021. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Agarwal_2021_IROS,
    author = "Agarwal, Tanmay and Fulton, Michael and Sattar, Junaed",
    booktitle = "IROS",
    title = "Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration",
    year = "2021"
}
    Yu et al., "Towards Robust Human Trajectory Prediction in Raw Videos", IROS, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Yu_2021_IROS_2,
    author = "Yu, Rui and Zhou, Zihan",
    booktitle = "IROS",
    title = "Towards Robust Human Trajectory Prediction in Raw Videos",
    year = "2021"
}
    Huang et al., "Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM", RAL, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @ARTICLE{Huang_Long_2021_RAL,
    author = "Huang, Zhe and Hasan, Aamir and Shin, Kazuki and Li, Ruohua and Driggs-Campbell, Katherine",
    journal = "RAL",
    title = "Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM",
    year = "2021",
    volume = "6",
    number = "2",
    pages = "542-549"
}
    Zhu et al., "Motion Forecasting with Unlikelihood Training in Continuous Space", CoRL, 2021. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhu_2021_CoRL,
    author = "Zhu, Deyao and Zahran, Mohamed and Li, Li Erran and Elhoseiny, Mohamed",
    title = "Motion Forecasting with Unlikelihood Training in Continuous Space",
    booktitle = "CoRL",
    year = "2021"
}
    Weng et al., "Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting", CoRL, 2021. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Weng_2021_CORL,
    author = "Weng, Xinshuo and Wang, Jianren and Levine, Sergey and Kitani, Kris and Rhinehart, Nick",
    title = "Inverting the Pose Forecasting Pipeline with {SPF2}: Sequential Pointcloud Forecasting for Sequential Pose Forecasting",
    booktitle = "CoRL",
    year = "2021"
}
    Hu et al., "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Hu_2020_CVPR,
    author = "Hu, Yue and Chen, Siheng and Zhang, Ya and Gu, Xiao",
    title = "Collaborative Motion Prediction via Neural Motion Message Passing",
    booktitle = "CVPR",
    year = "2020"
}
    Makansi et al., "Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior", CVPR, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Makansi_2020_CVPR,
    author = "Makansi, Osama and Cicek, Ozgun and Buchicchio, Kevin and Brox, Thomas",
    title = "Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior",
    booktitle = "CVPR",
    year = "2020"
}
    Mohamed et al., "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction", CVPR, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Mohamed_2020_CVPR,
    author = "Mohamed, Abduallah and Qian, Kun and Elhoseiny, Mohamed and Claudel, Christian",
    title = "{Social-STGCNN}: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction",
    booktitle = "CVPR",
    year = "2020"
}
    Liang et al., "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction", CVPR, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Liang_2020_CVPR_2,
    author = "Liang, Junwei and Jiang, Lu and Murphy, Kevin and Yu, Ting and Hauptmann, Alexander",
    title = "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction",
    booktitle = "CVPR",
    year = "2020"
}
    Wu et al., "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps", CVPR, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Wu_2020_CVPR_2,
    author = "Wu, Pengxiang and Chen, Siheng and Metaxas, Dimitris N.",
    title = "{MotionNet}: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps",
    booktitle = "CVPR",
    year = "2020"
}
    Liang et al., "SimAug: Learning Robust Representations from Simulation for Trajectory Prediction", ECCV, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Liang_2020_ECCV,
    author = "Liang, Junwei and Jiang, Lu and Hauptmann, Alexander",
    title = "{SimAug}: Learning Robust Representations from Simulation for Trajectory Prediction",
    booktitle = "ECCV",
    year = "2020"
}
    Mangalam et al., "It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction", ECCV, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Mangalam_2020_ECCV,
    author = "Mangalam, Karttikeya and Girase, Harshayu and Agarwal, Shreyas and Lee, Kuan-Hui and Adeli, Ehsan and Malik, Jitendra and Gaidon, Adrien",
    title = "It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction",
    booktitle = "ECCV",
    year = "2020"
}
    Park et al., "Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding", ECCV, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Park_2020_ECCV,
    author = "Park, Seong Hyeon and Lee, Gyubok and Bhat, Manoj and Seo, Jimin and Kang, Minseok and Francis, Jonathan and Jadhav, Ashwin R and Liang, Paul Pu and Morency, Louis-Philippe",
    title = "Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding",
    booktitle = "ECCV",
    year = "2020"
}
    Salzmann et al., "Trajectron++: Multi-agent Generative Trajectory Forecasting with Heterogeneous Data for Control", ECCV, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Salzmann_2020_ECCV,
    author = "Salzmann, Tim and Ivanovic, Boris and Chakravarty, Punarjay and Pavone, Marco",
    title = "Trajectron++: Multi-agent Generative Trajectory Forecasting with Heterogeneous Data for Control",
    booktitle = "ECCV",
    year = "2020"
}
    Kamra et al., "Multi-agent Trajectory Prediction with Fuzzy Query Attention", NeurIPS, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Kamra_2020_NeurIPS,
    author = "Kamra, Nitin and Zhu, Hao and Trivedi, Dweep Kumarbhai and Zhang, Ming and Liu, Yan",
    editor = "Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.",
    booktitle = "NeurIPS",
    title = "Multi-agent Trajectory Prediction with Fuzzy Query Attention",
    year = "2020"
}
    Dendorfer et al., "Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation", ACCV, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Dendorfer_2020_ACCV,
    author = "Dendorfer, Patrick and Osep, Aljosa and Leal-Taixe, Laura",
    title = "{Goal-GAN}: Multimodal Trajectory Prediction Based on Goal Position Estimation",
    booktitle = "ACCV",
    year = "2020"
}
    Styles et al., "Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments", WACV, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Styles_2020_WACV,
    author = "Styles, Oliver and Sanchez, Victor and Guha, Tanaya",
    title = "Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments",
    booktitle = "WACV",
    year = "2020"
}
    Jeon et al., "SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network", IROS, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Jeon_2020_IROS,
    author = "Jeon, H. and Choi, J. and Kum, D.",
    booktitle = "IROS",
    title = "{SCALE-Net}: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network",
    year = "2020"
}
    Anderson et al., "Low Latency Trajectory Predictions for Interaction Aware Highway Driving", RAL, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @Article{Anderson_2020_RAL,
    author = "Anderson, C. and Vasudevan, R. and Johnson-Roberson, M.",
    journal = "RAL",
    title = "Low Latency Trajectory Predictions for Interaction Aware Highway Driving",
    year = "2020",
    volume = "5",
    number = "4",
    pages = "5456-5463"
}
    Chandra et al., "Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs", RAL, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @Article{Chandra_2020_RAL,
    author = "Chandra, R. and Guan, T. and Panuganti, S. and Mittal, T. and Bhattacharya, U. and Bera, A. and Manocha, D.",
    journal = "RAL",
    title = "Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in {Graph-LSTMs}",
    year = "2020",
    volume = "5",
    number = "3",
    pages = "4882-4890"
}
    Brito et al., "Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians", CoRL, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Brito_2020_CORL,
    author = "Brito, Bruno and Zhu, Hai and Pan, Wei and Alonso-Mora, Javier",
    title = "{Social-VRNN}: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians",
    booktitle = "CoRL",
    year = "2020"
}
    Houston et al., "One Thousand and One Hours: Self-driving Motion Prediction Dataset", CoRL, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Houston_2020_CORL,
    author = "Houston, John and Zuidhof, Guido and Bergamini, Luca and Ye, Yawei and Chen, Long and Jain, Ashesh and Omari, Sammy and Iglovikov, Vladimir and Ondruska, Peter",
    title = "One Thousand and One Hours: Self-driving Motion Prediction Dataset",
    booktitle = "CoRL",
    year = "2020"
}
    Roh et al., "Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections", CoRL, 2020. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Roh_2020_CORL,
    author = "Roh, Junha and Mavrogiannis, Christoforos and Madan, Rishabh and Fox, Dieter and Srinivasa, Siddhartha S",
    title = "Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections",
    booktitle = "CoRL",
    year = "2020"
}
    Chandra et al., "TraPHic: Trajectory Prediction In Dense And Heterogeneous Traffic Using Weighted Interactions", CVPR, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Chandra_2019_CVPR,
    author = "Chandra, Rohan and Bhattacharya, Uttaran and Bera, Aniket and Manocha, Dinesh",
    title = "{TraPHic}: Trajectory Prediction In Dense And Heterogeneous Traffic Using Weighted Interactions",
    booktitle = "CVPR",
    year = "2019"
}
    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"
}
    Makansi et al., "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction", CVPR, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Makansi_2019_CVPR,
    author = "Makansi, Osama and Ilg, Eddy and Cicek, Ozgun and Brox, Thomas",
    title = "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction",
    booktitle = "CVPR",
    year = "2019"
}
    Zhang et al., "SR-LSTM: State Refinement For LSTM Towards Pedestrian Trajectory Prediction", CVPR, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhang_2019_CVPR,
    author = "Zhang, Pu and Ouyang, Wanli and Zhang, Pengfei and Xue, Jianru and Zheng, Nanning",
    title = "{SR-LSTM}: State Refinement For {LSTM} Towards Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year = "2019"
}
    Ivanovic et al., "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs", ICCV, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Ivanovic_2019_ICCV,
    author = "Ivanovic, Boris and Pavone, Marco",
    title = "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs",
    booktitle = "ICCV",
    year = "2019"
}
    Rasouli et al., "PIE: A Large-Scale Dataset And Models For Pedestrian Intention Estimation And Trajectory Prediction", ICCV, 2019. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Rasouli_2019_ICCV,
    author = "Rasouli, Amir and Kotseruba, Iuliia and Kunic, Toni and Tsotsos, John K.",
    title = "{PIE}: A Large-Scale Dataset And Models For Pedestrian Intention Estimation And Trajectory Prediction",
    booktitle = "ICCV",
    year = "2019"
}
    Rhinehart et al., "Precog: Prediction Conditioned On Goals In Visual Multi-Agent Settings", ICCV, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Rhinehart_2019_ICCV,
    author = "Rhinehart, Nicholas and McAllister, Rowan and Kitani, Kris and Levine, Sergey",
    title = "Precog: Prediction Conditioned On Goals In Visual Multi-Agent Settings",
    booktitle = "ICCV",
    year = "2019"
}
    Henaff et al., "Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic", ICLR, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @inproceedings{Henaff_2019_ICLR,
    author = "Henaff, Mikael and Canziani, Alfredo and LeCun, Yann",
    title = "Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic",
    booktitle = "ICLR",
    year = "2019"
}
    Srikanth et al., "INFER: INtermediate Representations For FuturE PRediction", IROS, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Srikanth_2019_IROS,
    author = "Srikanth, Shashank and Ansari, Junaid Ahmed and Sharma, Sarthak and others",
    booktitle = "IROS",
    title = "{INFER}: {IN}termediate Representations For {F}utur{E} P{R}ediction",
    year = "2019"
}
    Yao et al., "Unsupervised Traffic Accident Detection in First-Person Videos", IROS, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Yao_2019_IROS,
    author = "Yao, Y. and Xu, M. and Wang, Y. and Crandall, D. J. and Atkins, E. M.",
    booktitle = "IROS",
    title = "Unsupervised Traffic Accident Detection in First-Person Videos",
    year = "2019"
}
    Zhi et al., "Kernel Trajectory Maps For Multi-Modal Probabilistic Motion Prediction", CoRL, 2019. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Zhi_2019_CORL,
    author = "Zhi, Weiming and Ott, Lionel and Ramos, Fabio",
    title = "Kernel Trajectory Maps For Multi-Modal Probabilistic Motion Prediction",
    booktitle = "CoRL",
    year = "2019"
}
    Bhattacharyya et al., "Long-Term On-Board Prediction Of People In Traffic Scenes Under Uncertainty", CVPR, 2018. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Bhattacharyya_2018_CVPR,
    author = "Bhattacharyya, Apratim and Fritz, Mario and Schiele, Bernt",
    title = "Long-Term On-Board Prediction Of People In Traffic Scenes Under Uncertainty",
    booktitle = "CVPR",
    year = "2018"
}
    Gupta et al., "Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks", CVPR, 2018. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Gupta_2018_CVPR,
    author = "Gupta, Agrim and Johnson, Justin and Fei-Fei, Li and Savarese, Silvio and Alahi, Alexandre",
    title = "Social {GAN}: Socially Acceptable Trajectories With Generative Adversarial Networks",
    booktitle = "CVPR",
    year = "2018"
}
    Yagi et al., "Future Person Localization in First-Person Videos", CVPR, 2018. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Yagi_2018_CVPR,
    author = "Yagi, Takuma and Mangalam, Karttikeya and Yonetani, Ryo and Sato, Yoichi",
    title = "Future Person Localization in First-Person Videos",
    booktitle = "CVPR",
    year = "2018"
}
    Xu et al., "Encoding Crowd Interaction With Deep Neural Network For Pedestrian Trajectory Prediction", CVPR, 2018. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Xu_2018_CVPR_encoding,
    author = "Xu, Yanyu and Piao, Zhixin and Gao, Shenghua",
    title = "Encoding Crowd Interaction With Deep Neural Network For Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year = "2018"
}
    Bhattacharyya et al., "Multi-Agent Imitation Learning for Driving Simulation", IROS, 2018. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Bhattacharyya_2018_IROS,
    author = "Bhattacharyya, Raunak P. and Phillips, Derek J. and Wulfe, Blake and Morton, Jeremy and Kuefler, Alex and Kochenderfer, Mykel J.",
    booktitle = "IROS",
    title = "Multi-Agent Imitation Learning for Driving Simulation",
    year = "2018"
}
    Zhang et al., "Integrating Kinematics And Environment Context Into Deep Inverse Reinforcement Learning For Predicting Off-Road Vehicle Trajectories", CoRL, 2018. paper arxiv code
      Datasets
      • Custom
      Metrics
      Bibtex 
      @InProceedings{Zhang_2018_CORL,
    author = "Zhang, Yanfu and Wang, Wenshan and Bonatti, Rogerio and Maturana, Daniel and Scherer, Sebastian",
    title = "Integrating Kinematics And Environment Context Into Deep Inverse Reinforcement Learning For Predicting Off-Road Vehicle Trajectories",
    booktitle = "CoRL",
    year = "2018"
}
    Lee et al., "DESIRE: Distant Future Prediction In Dynamic Scenes With Interacting Agents", CVPR, 2017. paper arxiv code
      Datasets Metrics
      Bibtex 
      @InProceedings{Lee_2017_CVPR,
    author = "Lee, Namhoon and Choi, Wongun and Vernaza, Paul and Choy, Christopher B. and Torr, Philip H. S. and Chandraker, Manmohan",
    title = "{DESIRE}: Distant Future Prediction In Dynamic Scenes With Interacting Agents",
    booktitle = "CVPR",
    year = "2017"
}
    Zhan et al., "Generating Multi-agent Trajectories using Programmatic Weak Supervision", ICLR, 2017. paper arxiv code
      Datasets Metrics
      Bibtex 
      @inproceedings{Zhan_2017_ICLR,
    author = "Zhan, Eric and Zheng, Stephan and Yue, Yisong and Sha, Long and Lucey, Patrick",
    title = "Generating Multi-agent Trajectories using Programmatic Weak Supervision",
    booktitle = "ICLR",
    year = "2017"
}
    Alahi et al., "Social LSTM: Human Trajectory Prediction In Crowded Spaces", CVPR, 2016. paper code
      Datasets Metrics
      Bibtex 
      @InProceedings{Alahi_2016_CVPR,
    author = "Alahi, Alexandre and Goel, Kratarth and Ramanathan, Vignesh and Robicquet, Alexandre and Fei-Fei, Li and Savarese, Silvio",
    title = "Social {LSTM}: Human Trajectory Prediction In Crowded Spaces",
    booktitle = "CVPR",
    year = "2016"
}