{"id":"https://openalex.org/W7160086013","doi":"https://doi.org/10.1109/iccv51701.2025.00933","title":"Error Recognition in Procedural Videos Using Generalized Task Graph","display_name":"Error Recognition in Procedural Videos Using Generalized Task Graph","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7160086013","doi":"https://doi.org/10.1109/iccv51701.2025.00933"},"language":null,"primary_location":{"id":"doi:10.1109/iccv51701.2025.00933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114231664","display_name":"Shih\u2013Po Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Shih-Po Lee","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088989912","display_name":"Ehsan Elhamifar","orcid":"https://orcid.org/0000-0001-5517-548X"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ehsan Elhamifar","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8048,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92087986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"10009","last_page":"10021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.2863999903202057,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.2863999903202057,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.13359999656677246,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.06390000134706497,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4569999873638153},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4530999958515167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37049999833106995},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.27410000562667847},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.26919999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.573199987411499},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4343000054359436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29589998722076416},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26919999718666077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2660999894142151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv51701.2025.00933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3704509380","display_name":null,"funder_award_id":"IIS-2115110","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G662077045","display_name":null,"funder_award_id":"N000142512287","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7745236266","display_name":null,"funder_award_id":"W911NF2110276","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W2019660985","https://openalex.org/W2021659075","https://openalex.org/W2292288263","https://openalex.org/W2314362175","https://openalex.org/W2461621749","https://openalex.org/W2550143307","https://openalex.org/W2583815496","https://openalex.org/W2798345491","https://openalex.org/W2915683453","https://openalex.org/W2957775769","https://openalex.org/W2962795934","https://openalex.org/W2962916463","https://openalex.org/W2963524571","https://openalex.org/W2963642716","https://openalex.org/W2963853051","https://openalex.org/W2964094654","https://openalex.org/W2981638912","https://openalex.org/W2982335217","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2990720095","https://openalex.org/W3008576587","https://openalex.org/W3009622574","https://openalex.org/W3034572008","https://openalex.org/W3034687522","https://openalex.org/W3034802267","https://openalex.org/W3035218028","https://openalex.org/W3035557275","https://openalex.org/W3035635319","https://openalex.org/W3083550439","https://openalex.org/W3101133846","https://openalex.org/W3103717557","https://openalex.org/W3106768499","https://openalex.org/W3119038403","https://openalex.org/W3126721948","https://openalex.org/W3168371806","https://openalex.org/W3174700686","https://openalex.org/W3176692018","https://openalex.org/W3177173029","https://openalex.org/W3180945712","https://openalex.org/W3202074654","https://openalex.org/W3202896130","https://openalex.org/W3203711169","https://openalex.org/W3204193736","https://openalex.org/W3205786327","https://openalex.org/W3207398330","https://openalex.org/W3211316995","https://openalex.org/W3212044949","https://openalex.org/W3212899624","https://openalex.org/W4312409866","https://openalex.org/W4312518915","https://openalex.org/W4312554543","https://openalex.org/W4312653316","https://openalex.org/W4312661433","https://openalex.org/W4312685541","https://openalex.org/W4312723609","https://openalex.org/W4312769131","https://openalex.org/W4312777001","https://openalex.org/W4312957234","https://openalex.org/W4312982010","https://openalex.org/W4313031313","https://openalex.org/W4313053794","https://openalex.org/W4313055276","https://openalex.org/W4313071313","https://openalex.org/W4313165677","https://openalex.org/W4319299831","https://openalex.org/W4319300944","https://openalex.org/W4383695414","https://openalex.org/W4386075592","https://openalex.org/W4386076369","https://openalex.org/W4390871800","https://openalex.org/W4390872435","https://openalex.org/W4390873035","https://openalex.org/W4390873624","https://openalex.org/W4391321196","https://openalex.org/W4394593032","https://openalex.org/W4402702885","https://openalex.org/W4402703002","https://openalex.org/W4402703020","https://openalex.org/W4402733566","https://openalex.org/W4402733587","https://openalex.org/W4402753378","https://openalex.org/W4402753741","https://openalex.org/W4402753883","https://openalex.org/W4402753918","https://openalex.org/W4402753974","https://openalex.org/W4402770916","https://openalex.org/W4402780112","https://openalex.org/W4403842924","https://openalex.org/W4403878231","https://openalex.org/W4405078884","https://openalex.org/W4411245031","https://openalex.org/W4413144925","https://openalex.org/W4413158147","https://openalex.org/W4415797518","https://openalex.org/W7133231027","https://openalex.org/W7160051582","https://openalex.org/W7160082739"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-05T00:00:00"}