{"id":"https://openalex.org/W4221008990","doi":"https://doi.org/10.1117/12.2623446","title":"Joint motion context and clip augmentation for spatio-temporal action detection","display_name":"Joint motion context and clip augmentation for spatio-temporal action detection","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4221008990","doi":"https://doi.org/10.1117/12.2623446"},"language":"en","primary_location":{"id":"doi:10.1117/12.2623446","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","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/A5072150649","display_name":"Xurui Ma","orcid":"https://orcid.org/0009-0001-8459-9414"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xurui Ma","raw_affiliation_strings":["National Univ. of Defense Technology (China)"],"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368865","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-5201-3802"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["National Univ. of Defense Technology (China)"],"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054335730","display_name":"Chengkun Wu","orcid":"https://orcid.org/0000-0002-9688-5311"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Wu","raw_affiliation_strings":["National Univ. of Defense Technology (China)"],"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112937619","display_name":"Chuanfu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanfu Xu","raw_affiliation_strings":["National Univ. of Defense Technology (China)"],"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["National Univ. of Defense Technology (China)"],"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061811574","display_name":"Zhigang Luo","orcid":"https://orcid.org/0000-0002-7552-201X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Luo","raw_affiliation_strings":["National Univ. of Defense Technology (China)"],"affiliations":[{"raw_affiliation_string":"National Univ. of Defense Technology (China)","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072150649"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01848746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813834011554718},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7688825130462646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6572879552841187},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6215758919715881},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6040791869163513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5773205757141113},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5415142178535461},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5354065895080566},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49460670351982117},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4368036389350891},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4301931858062744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11170309782028198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813834011554718},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7688825130462646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6572879552841187},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6215758919715881},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6040791869163513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5773205757141113},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5415142178535461},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5354065895080566},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49460670351982117},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4368036389350891},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4301931858062744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11170309782028198},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2623446","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W2805447362","https://openalex.org/W2962803561","https://openalex.org/W2988916019","https://openalex.org/W3181598125","https://openalex.org/W4234552385","https://openalex.org/W4236716275","https://openalex.org/W4301409532","https://openalex.org/W4385245566","https://openalex.org/W6600983433","https://openalex.org/W6638420722","https://openalex.org/W6640304273","https://openalex.org/W6659182278","https://openalex.org/W6727074247","https://openalex.org/W6734051801","https://openalex.org/W6736168322","https://openalex.org/W6737542352","https://openalex.org/W6738494759","https://openalex.org/W6739901393","https://openalex.org/W6742028206","https://openalex.org/W6746034047","https://openalex.org/W6753598266","https://openalex.org/W6756709046","https://openalex.org/W6761266716","https://openalex.org/W6761584015","https://openalex.org/W6762841416","https://openalex.org/W6763256578","https://openalex.org/W6763711422","https://openalex.org/W6772548311","https://openalex.org/W6781761669","https://openalex.org/W6782958996"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"This":[0,70],"paper":[1],"endeavors":[2],"to":[3,8,58,101,135],"leverage":[4],"spatio-temporal":[5,45,52],"visual":[6],"cues":[7],"improve":[9,102],"video-based":[10,95],"action":[11],"detection.":[12],"As":[13],"a":[14,16,31,49,80,85],"result,":[15],"NOn-Local":[17],"Action":[18],"detector":[19,35,108],"based":[20],"on":[21,79,124],"anchor-free":[22],"called":[23],"NOLA":[24,113,130,139],"is":[25,28,56,97],"proposed,":[26,98],"which":[27,99],"built":[29],"off":[30],"recent":[32],"moving":[33],"center":[34],"(MOC)":[36],"and":[37],"further":[38],"extends":[39],"it":[40],"by":[41],"efficiently":[42],"aggregating":[43],"long-range":[44],"information.":[46],"In":[47],"detail,":[48],"significantly":[50,131],"efficient":[51],"motion-aware":[53],"non-local":[54],"block":[55],"explored":[57],"provide":[59],"global":[60],"motion":[61],"contexts":[62],"for":[63,94],"the":[64,74,103,107,141],"entire":[65],"predictive":[66],"branches":[67],"of":[68,106,145,148],"MOC.":[69,133],"byproduct":[71],"can":[72],"make":[73],"large":[75],"batch":[76],"samples":[77],"run":[78],"resource":[81],"limited":[82],"device.":[83],"Besides,":[84],"light-weighted":[86],"data":[87],"augmentation":[88,92],"method":[89],"termed":[90],"clip":[91],"designed":[93],"tasks":[96],"serves":[100],"generalization":[104],"ability":[105],"with":[109,115],"economical":[110],"scale-and-addition":[111],"operation.":[112],"works":[114],"two":[116,125],"above":[117],"schemes":[118],"in":[119,143],"real-time":[120],"as":[121],"well.":[122],"Experiments":[123],"benchmark":[126],"datasets":[127],"show":[128],"that":[129],"exceeds":[132],"Compared":[134],"other":[136],"existing":[137],"methods,,":[138],"reaches":[140],"state-of-the-art,":[142],"terms":[144],"video-level":[146],"mean":[147],"average":[149],"precision":[150],"(video":[151],"mAP).":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
