{"id":"https://openalex.org/W7118356710","doi":"https://doi.org/10.48550/arxiv.2601.00369","title":"BHaRNet: Reliability-Aware Body-Hand Modality Expertized Networks for Fine-grained Skeleton Action Recognition","display_name":"BHaRNet: Reliability-Aware Body-Hand Modality Expertized Networks for Fine-grained Skeleton Action Recognition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7118356710","doi":"https://doi.org/10.48550/arxiv.2601.00369"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.00369","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00369","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.00369","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122249075","display_name":"Seungyeon Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cho, Seungyeon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122054334","display_name":"Tae-kyun Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Tae-kyun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5122249075"],"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":0.9674999713897705,"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":0.9674999713897705,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11431","display_name":"Action Observation and Synchronization","score":0.00430000014603138,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6998999714851379},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5814999938011169},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5600000023841858},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4645000100135803},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4569000005722046},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4196000099182129},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.37689998745918274},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.3596999943256378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3424000144004822}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7612000107765198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746999979019165},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6998999714851379},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5814999938011169},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5600000023841858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5112000107765198},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4645000100135803},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4196000099182129},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2888999879360199},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.00369","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00369","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":"doi:10.48550/arxiv.2601.00369","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00369","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Skeleton-based":[0],"human":[1],"action":[2],"recognition":[3],"(HAR)":[4],"has":[5],"achieved":[6],"remarkable":[7],"progress":[8],"with":[9],"graph-based":[10],"architectures.":[11],"However,":[12],"most":[13],"existing":[14],"methods":[15],"remain":[16],"body-centric,":[17],"focusing":[18],"on":[19],"large-scale":[20],"motions":[21],"while":[22],"neglecting":[23],"subtle":[24],"hand":[25],"articulations":[26],"that":[27,40,69,84,101],"are":[28],"crucial":[29],"for":[30],"fine-grained":[31],"recognition.":[32],"This":[33],"work":[34],"presents":[35],"a":[36,65,80,123,137],"probabilistic":[37,81],"dual-stream":[38,87],"framework":[39,59],"unifies":[41],"reliability":[42],"modeling":[43],"and":[44,55,73,94,110,118,136,145,149],"multi-modal":[45],"integration,":[46],"generalizing":[47],"expertized":[48],"learning":[49,88],"under":[50,147],"uncertainty":[51],"across":[52,129],"both":[53],"intra-skeleton":[54],"cross-modal":[56,99,125],"domains.":[57],"The":[58],"comprises":[60],"three":[61],"key":[62],"components:":[63],"(1)":[64],"calibration-free":[66],"preprocessing":[67],"pipeline":[68],"removes":[70],"canonical-space":[71],"transformations":[72],"learns":[74],"directly":[75],"from":[76],"native":[77],"coordinates;":[78],"(2)":[79],"Noisy-OR":[82],"fusion":[83],"stabilizes":[85],"reliability-aware":[86],"without":[89],"requiring":[90],"explicit":[91],"confidence":[92],"supervision;":[93],"(3)":[95],"an":[96],"intra-":[97],"to":[98,113],"ensemble":[100],"couples":[102],"four":[103],"skeleton":[104],"modalities":[105],"(Joint,":[106],"Bone,":[107],"Joint":[108],"Motion,":[109],"Bone":[111],"Motion)":[112],"RGB":[114],"representations,":[115],"bridging":[116],"structural":[117],"visual":[119],"motion":[120],"cues":[121],"in":[122],"unified":[124],"formulation.":[126],"Comprehensive":[127],"evaluations":[128],"multiple":[130],"benchmarks":[131],"(NTU":[132],"RGB+D~60/120,":[133],"PKU-MMD,":[134],"N-UCLA)":[135],"newly":[138],"defined":[139],"hand-centric":[140],"benchmark":[141],"exhibit":[142],"consistent":[143],"improvements":[144],"robustness":[146],"noisy":[148],"heterogeneous":[150],"conditions.":[151]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}