{"id":"https://openalex.org/W4415538233","doi":"https://doi.org/10.1145/3746027.3755788","title":"Evaluating the Evaluators: Towards Human-aligned Metrics for Missing Markers Reconstruction","display_name":"Evaluating the Evaluators: Towards Human-aligned Metrics for Missing Markers Reconstruction","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538233","doi":"https://doi.org/10.1145/3746027.3755788"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3755788","doi":"https://doi.org/10.1145/3746027.3755788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755788","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.14334","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034104476","display_name":"Taras Kucherenko","orcid":"https://orcid.org/0000-0001-9838-8848","observed_orcids":["https://orcid.org/0000-0001-9838-8848"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taras Kucherenko","raw_affiliation_strings":["SEED, Electronic Arts, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-9838-8848","affiliations":[{"raw_affiliation_string":"SEED, Electronic Arts, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114494400","display_name":"Derek Peristy","orcid":"https://orcid.org/0009-0001-2125-6617","observed_orcids":["https://orcid.org/0009-0001-2125-6617"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Derek Peristy","raw_affiliation_strings":["Create, Electronic Arts, Vancouver, Canada"],"raw_orcid":"https://orcid.org/0009-0001-2125-6617","affiliations":[{"raw_affiliation_string":"Create, Electronic Arts, Vancouver, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089992361","display_name":"Judith B\u00fctepage","orcid":"https://orcid.org/0000-0001-5344-8042","observed_orcids":["https://orcid.org/0000-0001-5344-8042"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Judith B\u00fctepage","raw_affiliation_strings":["SEED, Electronic Arts, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-5344-8042","affiliations":[{"raw_affiliation_string":"SEED, Electronic Arts, Stockholm, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0087,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76676081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3390","last_page":"3398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-motion-capture","display_name":"optical motion capture","score":0.8489999771118164},{"id":"https://openalex.org/keywords/evaluation-indicators","display_name":"evaluation metrics","score":0.7649999856948853},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"mean squared error","score":0.7369999885559082},{"id":"https://openalex.org/keywords/subjective-perception","display_name":"subjective perception","score":0.4880000054836273},{"id":"https://openalex.org/keywords/occlusion","display_name":"occlusion","score":0.4690000116825104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.531499981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24619999527931213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23420000076293945},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.22990000247955322}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3746027.3755788","doi":"https://doi.org/10.1145/3746027.3755788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755788","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2410.14334","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.14334","pdf_url":"https://arxiv.org/pdf/2410.14334","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.14334","doi":"https://doi.org/10.48550/arxiv.2410.14334","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.14334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.14334","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.14334","pdf_url":"https://arxiv.org/pdf/2410.14334","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415538233.pdf","grobid_xml":"https://content.openalex.org/works/W4415538233.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1985514943","https://openalex.org/W2060970792","https://openalex.org/W2739192055","https://openalex.org/W2811107675","https://openalex.org/W2982174987","https://openalex.org/W3048665613","https://openalex.org/W3094548594","https://openalex.org/W3107362776","https://openalex.org/W3132304346","https://openalex.org/W3174292795","https://openalex.org/W3185367699","https://openalex.org/W3196079725","https://openalex.org/W3201830178","https://openalex.org/W4285504804","https://openalex.org/W4291020252","https://openalex.org/W4386436263","https://openalex.org/W4387864992","https://openalex.org/W4389575066","https://openalex.org/W4390874263","https://openalex.org/W4393325208","https://openalex.org/W4394994405","https://openalex.org/W6968822656"],"related_works":["https://openalex.org/W6968822656","https://openalex.org/W2060970792","https://openalex.org/W2012511320","https://openalex.org/W3097157809","https://openalex.org/W1984739677","https://openalex.org/W2982174987","https://openalex.org/W2793765070","https://openalex.org/W2139086897","https://openalex.org/W2276227739","https://openalex.org/W2316678434"],"abstract_inverted_index":{"Animation":[0],"data":[1],"is":[2],"often":[3],"obtained":[4],"through":[5],"optical":[6,21],"motion":[7],"capture":[8],"systems,":[9],"which":[10,37],"utilize":[11,60],"a":[12,61,93],"multitude":[13],"of":[14,20,36,84,95],"cameras":[15],"to":[16],"establish":[17],"the":[18,33,54,67,85,103],"position":[19],"markers.":[22],"However,":[23],"system":[24],"errors":[25],"or":[26],"occlusions":[27],"can":[28,38,99],"result":[29],"in":[30,45,53,102],"missing":[31,50],"markers,":[32],"manual":[34],"cleaning":[35],"be":[39],"time-consuming.":[40],"This":[41],"has":[42],"sparked":[43],"interest":[44],"machine":[46],"learning-based":[47],"solutions":[48],"for":[49],"marker":[51],"reconstruction":[52],"academic":[55,58],"community.":[56],"Most":[57],"papers":[59],"simplistic":[62],"mean":[63],"square":[64],"error":[65],"as":[66],"main":[68],"metric.":[69],"In":[70],"this":[71,76],"paper,":[72],"we":[73,89],"show":[74],"that":[75,98],"metric":[77],"does":[78],"not":[79],"correlate":[80],"with":[81],"subjective":[82],"perception":[83],"fill":[86],"quality.":[87],"Additionally,":[88],"introduce":[90],"and":[91],"evaluate":[92],"set":[94],"better-correlated":[96],"metrics":[97],"drive":[100],"progress":[101],"field.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-25T00:00:00"}