{"id":"https://openalex.org/W4229016713","doi":"https://doi.org/10.1145/3477314.3507222","title":"Autorevise","display_name":"Autorevise","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4229016713","doi":"https://doi.org/10.1145/3477314.3507222"},"language":"en","primary_location":{"id":"doi:10.1145/3477314.3507222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507222","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","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/A5001453271","display_name":"Jennifer Piane","orcid":null},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jennifer Piane","raw_affiliation_strings":["DePaul University"],"affiliations":[{"raw_affiliation_string":"DePaul University","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775831","display_name":"Yiyang Wang","orcid":"https://orcid.org/0000-0002-8924-3468"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyang Wang","raw_affiliation_strings":["DePaul University"],"affiliations":[{"raw_affiliation_string":"DePaul University","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064537772","display_name":"Xufan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xufan Ma","raw_affiliation_strings":["DePaul University"],"affiliations":[{"raw_affiliation_string":"DePaul University","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001027068","display_name":"Jacob Furst","orcid":null},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Furst","raw_affiliation_strings":["DePaul University"],"affiliations":[{"raw_affiliation_string":"DePaul University","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005267835","display_name":"Daniela Raicu","orcid":"https://orcid.org/0000-0002-2165-7234"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniela Stan Raicu","raw_affiliation_strings":["DePaul University"],"affiliations":[{"raw_affiliation_string":"DePaul University","institution_ids":["https://openalex.org/I118353179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001453271"],"corresponding_institution_ids":["https://openalex.org/I118353179"],"apc_list":null,"apc_paid":null,"fwci":0.2005,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26701878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8566337823867798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.717397928237915},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6621535420417786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5750523209571838},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5512493848800659},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5394120812416077},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.52178955078125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.484205961227417},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.472025066614151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566337823867798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.717397928237915},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6621535420417786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5750523209571838},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5512493848800659},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5394120812416077},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.52178955078125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.484205961227417},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.472025066614151},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477314.3507222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507222","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1987293352","https://openalex.org/W2059006059","https://openalex.org/W2121381553","https://openalex.org/W2121495791","https://openalex.org/W2197804964","https://openalex.org/W2577482104","https://openalex.org/W2740893830","https://openalex.org/W2894454635","https://openalex.org/W2895240652","https://openalex.org/W2898549158","https://openalex.org/W2916083866","https://openalex.org/W2971670291","https://openalex.org/W2983697263","https://openalex.org/W3010275062","https://openalex.org/W3086836049"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2506504620","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2761510556","https://openalex.org/W2892259437","https://openalex.org/W2131801795","https://openalex.org/W2944566775"],"abstract_inverted_index":{"Annotating":[0],"a":[1,24,54],"video":[2,40,88],"for":[3,28,32,90],"activity":[4,9,37],"recognition,":[5],"when":[6],"precise,":[7],"frame-level":[8],"localization":[10],"is":[11,13],"required,":[12],"time-consuming":[14],"and":[15,84,112,123],"difficult":[16],"to":[17,48,63,72,96,134],"accomplish":[18],"with":[19,70],"high":[20],"accuracy.":[21],"We":[22,75],"propose":[23],"novel":[25],"Autorevise":[26,106],"approach":[27,78],"motion-based":[29],"pattern":[30],"recognition":[31],"improving":[33],"the":[34,59,67,80,105,110,125],"accuracy":[35],"of":[36,39,53,82,87,115,130],"labels":[38],"data.":[41],"This":[42],"paper":[43],"applies":[44],"signal":[45],"processing":[46],"methods":[47],"motion":[49],"features":[50],"(e.g.":[51],"speed":[52],"subject":[55],"as":[56],"observed":[57],"in":[58,61,66,79,120],"video)":[60],"order":[62],"identify":[64,109],"shapes":[65],"signals":[68],"associated":[69],"activities":[71],"be":[73],"classified.":[74],"evaluate":[76],"this":[77],"context":[81],"automatic":[83],"human-in-the-loop":[85],"labeling":[86],"data":[89],"C.":[91],"elegans,":[92],"an":[93,116],"organism":[94],"studied":[95],"understand":[97],"functional":[98],"neural":[99],"activities.":[100],"Our":[101],"results":[102],"show":[103],"that":[104],"method":[107],"can":[108],"starting":[111],"ending":[113],"frames":[114],"activity,":[117],"detect":[118],"errors":[119],"human":[121],"annotations,":[122],"improve":[124],"label":[126],"consistency":[127],"between":[128],"pairs":[129],"annotators":[131],"by":[132],"up":[133],"40%.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-08T00:00:00"}
