{"id":"https://openalex.org/W4415708543","doi":"https://doi.org/10.1109/icme59968.2025.11209266","title":"BEAR: A Video Dataset For Fine-grained Behaviors Recognition Oriented with Action and Environment Factors","display_name":"BEAR: A Video Dataset For Fine-grained Behaviors Recognition Oriented with Action and Environment Factors","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708543","doi":"https://doi.org/10.1109/icme59968.2025.11209266"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089205647","display_name":"Chengyang Hu","orcid":"https://orcid.org/0000-0003-2579-7282"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyang Hu","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081310532","display_name":"Yuduo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuduo Chen","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084218062","display_name":"Lizhuang Ma","orcid":"https://orcid.org/0000-0003-1653-4341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhuang Ma","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.8093000054359436,"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":0.8093000054359436,"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/T11685","display_name":"Zebrafish Biomedical Research Applications","score":0.03150000050663948,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.02590000070631504,"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/task","display_name":"Task (project management)","score":0.5958999991416931},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5501999855041504},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.483599990606308},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46700000762939453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45739999413490295},{"id":"https://openalex.org/keywords/behavior-change","display_name":"Behavior change","score":0.4408999979496002},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.32829999923706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140999794006348},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5958999991416931},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5501999855041504},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46700000762939453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C14262774","wikidata":"https://www.wikidata.org/wiki/Q4880695","display_name":"Behavior change","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4275999963283539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40880000591278076},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32829999923706055},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C56329447","wikidata":"https://www.wikidata.org/wiki/Q4880697","display_name":"Behavior change methods","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1744759976","https://openalex.org/W1912967058","https://openalex.org/W1927052826","https://openalex.org/W2016053056","https://openalex.org/W2099614498","https://openalex.org/W2108598243","https://openalex.org/W2126579184","https://openalex.org/W2156798932","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2561529111","https://openalex.org/W2895243423","https://openalex.org/W2963076818","https://openalex.org/W2963524571","https://openalex.org/W2984008963","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W3035180180","https://openalex.org/W3203711169","https://openalex.org/W4312245820"],"related_works":[],"abstract_inverted_index":{"Behavior":[0,114,120],"recognition":[1,144],"is":[2],"an":[3,66],"important":[4],"task":[5],"in":[6,158],"video":[7,82],"representation":[8],"learning.":[9],"An":[10],"essential":[11],"aspect":[12],"pertains":[13],"to":[14,19,26,39,57,61,65],"effective":[15,47],"feature":[16],"learning":[17],"conducive":[18],"behavior":[20,29,84,110,143,166],"recognition.":[21,167],"Recently,":[22],"researchers":[23],"have":[24,175],"started":[25],"study":[27],"fine-grained":[28,53,83,90,109],"recognition,":[30],"which":[31,88],"provides":[32,89],"similar":[33],"behaviors":[34,45,54,93],"and":[35,68,104,118,162],"encourages":[36],"the":[37,150,160],"model":[38],"concern":[40],"with":[41,46,115,121,133,141],"more":[42],"details":[43],"of":[44,72,152,165],"features":[48],"for":[49,178],"distinction.":[50],"However,":[51],"previous":[52],"limited":[55],"themselves":[56],"controlling":[58],"partial":[59],"information":[60],"be":[62],"similar,":[63],"leading":[64],"unfair":[67],"not":[69],"comprehensive":[70],"evaluation":[71],"existing":[73],"works.":[74],"In":[75],"this":[76,134],"work,":[77],"we":[78,137],"develop":[79],"a":[80,155],"new":[81,135],"dataset,":[85,136],"named":[86],"BEAR,":[87],"(i.e.":[91],"similar)":[92],"that":[94,174],"uniquely":[95],"focus":[96],"on":[97],"two":[98,108],"primary":[99],"factors":[100],"defining":[101],"behavior:":[102],"Environment":[103],"Action.":[105],"It":[106],"includes":[107],"protocols":[111],"including":[112],"Fine-grained":[113,119],"Similar":[116,122],"Environments":[117],"Actions":[123],"as":[124,126,129],"well":[125],"multiple":[127,139],"sub-protocols":[128],"different":[130,142],"scenarios.":[131],"Furthermore,":[132],"conduct":[138],"experiments":[140],"models.":[145],"Our":[146,168],"research":[147,180],"primarily":[148],"explores":[149],"impact":[151],"input":[153],"modality,":[154],"critical":[156],"element":[157],"studying":[159],"environmental":[161],"action-based":[163],"aspects":[164],"experimental":[169],"results":[170],"yield":[171],"intriguing":[172],"insights":[173],"substantial":[176],"implications":[177],"further":[179],"endeavors.":[181]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}
