% Key papers for Multimodal trajectory prediction (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_social_13601,
  title = {{Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Gupta_Social_GAN_Socially_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_covernet_15300,
  title = {{CoverNet: Multimodal Behavior Prediction Using Trajectory Sets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_stochastic_19936,
  title = {{Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_long_13343,
  title = {{Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Bhattacharyya_Long-Term_On-Board_Prediction_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_tpnet_16322,
  title = {{TPNet: Trajectory Proposal Network for Motion Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_groupnet_18965,
  title = {{GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_collaborative_15260,
  title = {{Collaborative Motion Prediction via Neural Motion Message Passing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_accurate_12818,
  title = {{Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Bhattacharyya_Accurate_and_Diverse_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_trajectory_18040,
  title = {{Trajectory Prediction With Latent Belief Energy-Based Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_ltp_19151,
  title = {{LTP: Lane-Based Trajectory Prediction for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_non_19468,
  title = {{Non-Probability Sampling Network for Stochastic Human Trajectory Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_motion_64168,
  title = {{Motion Transformer with Global Intention Localization and Local Movement Refinement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55329},
}

@inproceedings{cvpr2019_which_15032,
  title = {{Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2024_bat_5250,
  title = {{BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28900},
}

@inproceedings{aaai2022_social_2757,
  title = {{Social Interpretable Tree for Pedestrian Trajectory Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02235-social-interpretable-tree-for-pedestrian-trajectory-prediction/},
}

@inproceedings{cvpr2021_interpretable_17197,
  title = {{Interpretable Social Anchors for Human Trajectory Forecasting in Crowds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_imitative_15676,
  title = {{Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_deep_16826,
  title = {{Deep Multi-Task Learning for Joint Localization, Perception, and Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2023_wsip_4949,
  title = {{WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25592},
}

@inproceedings{cvpr2022_uncertainty_20115,
  title = {{Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_cadet_22940,
  title = {{CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31874},
}

@inproceedings{cvpr2025_moflow_26972,
  title = {{MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33507},
}

@inproceedings{aaai2024_social_7360,
  title = {{Social Physics Informed Diffusion Model for Crowd Simulation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27802},
}

@inproceedings{aaai2025_driving_8814,
  title = {{Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33010},
}

@inproceedings{cvpr2024_uncertainty_25118,
  title = {{Uncertainty-aware Action Decoupling Transformer for Action Anticipation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29324},
}

@inproceedings{aaai2024_socialcvae_7363,
  title = {{SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28439},
}

@inproceedings{cvpr2025_modeseq_26981,
  title = {{ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34780},
}

@inproceedings{aaai2024_cctr_5330,
  title = {{CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30085},
}

@inproceedings{aaai2025_c2f_8322,
  title = {{C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33397},
}

@inproceedings{cvpr2025_physical_27254,
  title = {{Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32584},
}

@inproceedings{aaai2025_subjectdrive_10869,
  title = {{SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32376},
}

@inproceedings{cvpr2024_human_23723,
  title = {{Human Motion Prediction Under Unexpected Perturbation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30159},
}

@inproceedings{cvpr2024_learned_23943,
  title = {{Learned Trajectory Embedding for Subspace Clustering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29229},
}

@inproceedings{aaai2025_nest_10083,
  title = {{NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32064},
}

@inproceedings{neurips2025_flow_76724,
  title = {{Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=MQVyuWBfSH},
}

@inproceedings{cvpr2025_uncertainty_27988,
  title = {{Uncertainty-Instructed Structure Injection for Generalizable HD Map Construction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34547},
}

@inproceedings{neurips2024_pedestrian_72647,
  title = {{Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97642},
}

@inproceedings{aaai2026_diffrefiner_105317,
  title = {{DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38189},
}

@inproceedings{aaai2026_intention_106605,
  title = {{Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38912},
}