{"id":"https://openalex.org/W7140873119","doi":"https://doi.org/10.48550/arxiv.2603.24245","title":"B-MoE: A Body-Part-Aware Mixture-of-Experts \"All Parts Matter\" Approach to Micro-Action Recognition","display_name":"B-MoE: A Body-Part-Aware Mixture-of-Experts \"All Parts Matter\" Approach to Micro-Action Recognition","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7140873119","doi":"https://doi.org/10.48550/arxiv.2603.24245"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-05584328v2","is_oa":true,"landing_page_url":"https://hal.science/hal-05584328","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States","raw_type":"Conference papers"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05584328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103308473","display_name":"Nishit Poddar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Poddar, Nishit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106355181","display_name":"Aglind Reka","orcid":"https://orcid.org/0009-0003-6841-2984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reka, Aglind","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041524925","display_name":"Diana-Laura Borza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borza, Diana-Laura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015650149","display_name":"Snehashis Majhi","orcid":"https://orcid.org/0000-0002-9101-017X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Majhi, Snehashis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071345994","display_name":"Michal Bal\u00e1\u017eia","orcid":"https://orcid.org/0000-0001-7153-9984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balazia, Michal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124933848","display_name":"Abhijit Das","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Abhijit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130717279","display_name":"Francois Bremond","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bremond, Francois","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103308473"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9606999754905701,"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":0.9606999754905701,"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/T12290","display_name":"Human Motion and Animation","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.004699999932199717,"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/encoder","display_name":"Encoder","score":0.6165000200271606},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6126000285148621},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6075000166893005},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5871999859809875},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.41909998655319214},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.3684000074863434},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.3546000123023987},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3456999957561493},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.33340001106262207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178999781608582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6347000002861023},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6126000285148621},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6075000166893005},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4661000072956085},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.3077999949455261},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2779760435","wikidata":"https://www.wikidata.org/wiki/Q5396169","display_name":"Minor (academic)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:hal-05584328v2","is_oa":true,"landing_page_url":"https://hal.science/hal-05584328","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2603.24245","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24245","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05584328v2","is_oa":true,"landing_page_url":"https://hal.science/hal-05584328","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6725074648857117,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Micro-actions,":[0],"fleeting":[1],"and":[2,33,73,88,99,130,144,155],"low-amplitude":[3],"motions,":[4],"such":[5],"as":[6],"glances,":[7],"nods,":[8],"or":[9],"minor":[10],"posture":[11],"shifts,":[12],"carry":[13],"rich":[14],"social":[15],"meaning":[16],"but":[17],"remain":[18],"difficult":[19],"for":[20,106],"current":[21],"action":[22],"recognition":[23],"models":[24],"to":[25,28,48,124],"recognize":[26],"due":[27],"their":[29],"subtlety,":[30],"short":[31],"duration,":[32],"high":[34],"inter-class":[35],"ambiguity.":[36],"In":[37,57],"this":[38],"paper,":[39],"we":[40],"introduce":[41],"B-MoE,":[42,58],"a":[43,63,111],"Body-part-aware":[44],"Mixture-of-Experts":[45],"framework":[46],"designed":[47],"explicitly":[49],"model":[50],"the":[51,77,102],"structured":[52],"nature":[53],"of":[54],"human":[55],"motion.":[56,91],"each":[59,107],"expert":[60],"specializes":[61],"in":[62,152],"distinct":[64],"body":[65],"region":[66],"(head,":[67],"body,":[68],"upper":[69],"limbs,":[70],"lower":[71],"limbs),":[72],"is":[74],"based":[75],"on":[76,138],"lightweight":[78],"Macro-Micro":[79],"Motion":[80],"Encoder":[81],"(M3E)":[82],"that":[83,114,134],"captures":[84],"long-range":[85],"contextual":[86],"structure":[87],"fine-grained":[89],"local":[90],"A":[92],"cross-attention":[93],"routing":[94],"mechanism":[95],"learns":[96],"inter-region":[97],"relationships":[98],"dynamically":[100],"selects":[101],"most":[103],"informative":[104],"regions":[105],"micro-action.":[108],"B-MoE":[109],"uses":[110],"dual-stream":[112],"encoder":[113],"fuses":[115],"these":[116],"region-specific":[117],"semantic":[118],"cues":[119,129],"with":[120,150],"global":[121],"motion":[122],"features":[123],"jointly":[125],"capture":[126],"spatially":[127],"localized":[128],"temporally":[131],"subtle":[132],"variations":[133],"characterize":[135],"micro-actions.":[136],"Experiments":[137],"three":[139],"challenging":[140],"benchmarks":[141],"(MA-52,":[142],"SocialGesture,":[143],"MPII-GroupInteraction)":[145],"show":[146],"consistent":[147],"state-of-theart":[148],"gains,":[149],"improvements":[151],"ambiguous,":[153],"underrepresented,":[154],"low":[156],"amplitude":[157],"classes.":[158]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2026-03-27T00:00:00"}