% Key papers for Event and anomaly reasoning in video (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2022_end_18759, title = {{End-to-End Referring Video Object Segmentation With Multimodal Transformers}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2017_automatic_12075, title = {{Automatic Understanding of Image and Video Advertisements}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2018_attend_12847, title = {{Attend and Interact: Higher-Order Object Interactions for Video Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ma_Attend_and_Interact_CVPR_2018_paper.html}, } @inproceedings{cvpr2018_moviegraphs_13389, title = {{MovieGraphs: Towards Understanding Human-Centric Situations From Videos}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Vicol_MovieGraphs_Towards_Understanding_CVPR_2018_paper.html}, } @inproceedings{cvpr2018_what_13733, title = {{What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_What_Makes_a_CVPR_2018_paper.html}, } @inproceedings{aaai2023_fakesv_3658, title = {{FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26689}, } @inproceedings{cvpr2019_video_15004, title = {{Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2024_harnessing_23687, title = {{Harnessing Large Language Models for Training-free Video Anomaly Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29246}, } @inproceedings{cvpr2021_agqa_16552, title = {{AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{iclr2020_clevrer_29532, title = {{CLEVRER: Collision Events for Video Representation and Reasoning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=HkxYzANYDB}, } @inproceedings{aaai2019_hirenet_99946, title = {{HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/3832}, } @inproceedings{cvpr2022_multi_19383, title = {{Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2024_towards_25061, title = {{Towards Surveillance Video-and-Language Understanding: New Dataset Baselines and Challenges}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30807}, } @inproceedings{iclr2020_cater_29466, title = {{CATER: A diagnostic dataset for Compositional Actions \& TEmporal Reasoning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=HJgzt2VKPB}, } @inproceedings{cvpr2025_holmes_26525, title = {{Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33777}, } @inproceedings{cvpr2022_uboco_20102, title = {{UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{aaai2021_structured_1437, title = {{Structured Co-reference Graph Attention for Video-grounded Dialogue}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/01789-structured-co-reference-graph-attention-for-video-grounded-dialogue/}, } @inproceedings{cvpr2024_uncovering_25119, title = {{Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31186}, } @inproceedings{aaai2018_visual_101485, title = {{Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11569}, } @inproceedings{cvpr2024_omnivid_24338, title = {{OmniViD: A Generative Framework for Universal Video Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31403}, } @inproceedings{cvpr2025_dispider_25962, title = {{Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32582}, } @inproceedings{cvpr2025_expertaf_26177, title = {{ExpertAF: Expert Actionable Feedback from Video}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32840}, } @inproceedings{cvpr2025_ovo_27104, title = {{OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33492}, } @inproceedings{cvpr2025_towards_27935, title = {{Towards Universal Soccer Video Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32544}, } @inproceedings{aaai2025_federated_9184, title = {{Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35398}, } @inproceedings{aaai2024_vln_7745, title = {{VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29813}, } @inproceedings{cvpr2024_learning_23964, title = {{Learning Object State Changes in Videos: An Open-World Perspective}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29181}, } @inproceedings{cvpr2024_hig_23658, title = {{HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31022}, } @inproceedings{cvpr2024_sportshhi_24883, title = {{SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30486}, } @inproceedings{neurips2024_hawk_74341, title = {{HAWK: Learning to Understand Open-World Video Anomalies}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93219}, } @inproceedings{aaai2024_from_6061, title = {{From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30371}, } @inproceedings{cvpr2024_step_24892, title = {{Step Differences in Instructional Video}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29254}, } @inproceedings{cvpr2025_motion_27003, title = {{Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33015}, } @inproceedings{cvpr2025_basket_25549, title = {{BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34675}, } @inproceedings{neurips2024_rextime_70446, title = {{ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97852}, }