{"url":"/task/action-analysis","name":"Action Analysis","slug":"action-analysis","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":40,"papers_with_code":14,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":14,"of":14,"tagged_in_all":40,"items":[{"url":"/paper/h-more-learning-human-centric-motion","title":"H-MoRe: Learning Human-centric Motion Representation for Action Analysis","date":"2025-04-14","arxiv_id":"2504.10676","repositories_listed":1,"syntology":null},{"url":"/paper/mmad-multi-label-micro-action-detection-in","title":"MMAD: Multi-label Micro-Action Detection in Videos","date":"2024-07-07","arxiv_id":"2407.05311","repositories_listed":1,"syntology":null},{"url":"/paper/finesports-a-multi-person-hierarchical-sports","title":"FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/fine-grained-action-analysis-a-multi-modality","title":"Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating","date":"2023-07-06","arxiv_id":"2307.02730","repositories_listed":1,"syntology":null},{"url":"/paper/ft-hid-a-large-scale-rgb-d-dataset-for-first","title":"FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis","date":"2022-09-21","arxiv_id":"2209.10155","repositories_listed":1,"syntology":null},{"url":"/paper/domain-knowledge-informed-self-supervised","title":"Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment","date":"2022-02-28","arxiv_id":"2202.14019","repositories_listed":1,"syntology":null},{"url":"/paper/ltc-gif-attracting-more-clicks-on-feature","title":"LTC-GIF: Attracting More Clicks on Feature-length Sports Videos","date":"2022-01-22","arxiv_id":"2201.09077","repositories_listed":1,"syntology":null},{"url":"/paper/a-body-part-embedding-model-with-datasets-for","title":"A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity","date":"2021-03-02","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/adaptive-interaction-modeling-via-graph","title":"Adaptive Interaction Modeling via Graph Operations Search","date":"2020-05-05","arxiv_id":"2005.02113","repositories_listed":1,"syntology":null},{"url":"/paper/explainable-video-action-reasoning-via-prior","title":"Explainable Video Action Reasoning via Prior Knowledge and State Transitions","date":"2019-08-28","arxiv_id":"1908.10700","repositories_listed":1,"syntology":null},{"url":"/paper/190412602","title":"EV-Action: Electromyography-Vision Multi-Modal Action Dataset","date":"2019-04-20","arxiv_id":"1904.12602","repositories_listed":1,"syntology":null},{"url":"/paper/investigation-of-different-skeleton-features","title":"Investigation of Different Skeleton Features for CNN-based 3D Action Recognition","date":"2017-05-02","arxiv_id":"1705.00835","repositories_listed":1,"syntology":null},{"url":"/paper/interpretable-3d-human-action-analysis-with","title":"Interpretable 3D Human Action Analysis with Temporal Convolutional Networks","date":"2017-04-14","arxiv_id":"1704.04516","repositories_listed":1,"syntology":null},{"url":"/paper/elastic-functional-coding-of-riemannian","title":"Elastic Functional Coding of Riemannian Trajectories","date":"2016-03-07","arxiv_id":"1603.02200","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}