% Key papers for Weakly supervised video anomaly detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_real_13504,
  title = {{Real-World Anomaly Detection in Surveillance Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_future_13137,
  title = {{Future Frame Prediction for Anomaly Detection – A New Baseline}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Future_Frame_Prediction_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_learning_15769,
  title = {{Learning Memory-Guided Normality for Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_mist_17374,
  title = {{MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_learning_14414,
  title = {{Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2022_self_2719,
  title = {{Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01395-self-training-multi-sequence-learning-with-transformer-for-weakly-supervised-video-anomaly-detection/},
}

@inproceedings{cvpr2020_self_16214,
  title = {{Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_generative_18929,
  title = {{Generative Cooperative Learning for Unsupervised Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_learning_17287,
  title = {{Learning Normal Dynamics in Videos With Meta Prototype Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_appearance_141,
  title = {{Appearance-Motion Memory Consistency Network for Video Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00938-appearance-motion-memory-consistency-network-for-video-anomaly-detection/},
}

@inproceedings{aaai2023_mgfn_4108,
  title = {{MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25112},
}

@inproceedings{cvpr2022_ubnormal_20101,
  title = {{UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2023_dual_3510,
  title = {{Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25489},
}

@inproceedings{cvpr2023_video_22517,
  title = {{Video Event Restoration Based on Keyframes for Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21365},
}

@inproceedings{aaai2019_robust_101741,
  title = {{Robust Anomaly Detection in Videos Using Multilevel Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4456},
}

@inproceedings{cvpr2023_hierarchical_21152,
  title = {{Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21147},
}

@inproceedings{cvpr2023_self_22165,
  title = {{Self-Supervised Video Forensics by Audio-Visual Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22260},
}

@inproceedings{cvpr2024_open_24372,
  title = {{Open-Vocabulary Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30364},
}

@inproceedings{cvpr2023_look_21463,
  title = {{Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21974},
}

@inproceedings{aaai2022_comprehensive_1854,
  title = {{Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00230-comprehensive-regularization-in-a-bi-directional-predictive-network-for-video-anomaly-detection/},
}

@inproceedings{cvpr2024_self_24783,
  title = {{Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30615},
}

@inproceedings{cvpr2024_prompt_24532,
  title = {{Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29259},
}

@inproceedings{cvpr2024_multi_24208,
  title = {{Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29327},
}

@inproceedings{cvpr2024_collaborative_22992,
  title = {{Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30836},
}

@inproceedings{cvpr2024_mulde_24087,
  title = {{MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31470},
}

@inproceedings{cvpr2024_endow_23365,
  title = {{Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31121},
}

@inproceedings{aaai2025_video_11241,
  title = {{Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33169},
}

@inproceedings{cvpr2025_anomize_25490,
  title = {{Anomize: Better Open Vocabulary Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34918},
}

@inproceedings{neurips2024_advancing_73225,
  title = {{Advancing Video Anomaly Detection: A Concise Review and a New Dataset}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97585},
}

@inproceedings{aaai2025_mocid_9863,
  title = {{MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33087},
}

@inproceedings{aaai2025_ucf_11126,
  title = {{UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32705},
}

@inproceedings{aaai2024_zoom_7841,
  title = {{ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28450},
}

@inproceedings{aaai2025_dual_8821,
  title = {{Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32829},
}

@inproceedings{cvpr2025_noise_27079,
  title = {{Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32916},
}

@inproceedings{aaai2025_zero_11322,
  title = {{Zero-Shot Scene Change Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32253},
}

@inproceedings{aaai2024_qdetrv_7033,
  title = {{QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28063},
}

@inproceedings{cvpr2025_just_26672,
  title = {{Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34670},
}

@inproceedings{cvpr2025_track_27941,
  title = {{Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34698},
}

@inproceedings{neurips2024_beyond_72320,
  title = {{Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95026},
}