{"id":"https://openalex.org/W4404990122","doi":"https://doi.org/10.1109/iccv51701.2025.01090","title":"Beyond Walking: A Large-Scale Image-Text Benchmark for Text-Based Person Anomaly Search","display_name":"Beyond Walking: A Large-Scale Image-Text Benchmark for Text-Based Person Anomaly Search","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4404990122","doi":"https://doi.org/10.1109/iccv51701.2025.01090"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.17776","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001721932","display_name":"Shuyu Yang","orcid":"https://orcid.org/0000-0003-0409-1467"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyu Yang","raw_affiliation_strings":["Xi&#x00A9;an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x00A9;an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651167","display_name":"Yaxiong Wang","orcid":"https://orcid.org/0000-0001-6596-8117"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxiong Wang","raw_affiliation_strings":["Hefei University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380611","display_name":"Li Zhu","orcid":"https://orcid.org/0000-0002-1616-4240"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhu","raw_affiliation_strings":["Xi&#x00A9;an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x00A9;an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034162160","display_name":"Zhedong Zheng","orcid":"https://orcid.org/0000-0002-2434-9050"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhedong Zheng","raw_affiliation_strings":["University of Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00146539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11720","last_page":"11730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12970","display_name":"Names, Identity, and Discrimination Research","score":0.9132999777793884,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12970","display_name":"Names, Identity, and Discrimination Research","score":0.9132999777793884,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9074000120162964,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6548264026641846},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6395564675331116},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6116438508033752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5354194045066833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.507515549659729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48600849509239197},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39040958881378174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36602699756622314},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2062869369983673},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14127978682518005},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0869256854057312}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6548264026641846},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6395564675331116},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6116438508033752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354194045066833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.507515549659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48600849509239197},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39040958881378174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36602699756622314},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2062869369983673},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14127978682518005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0869256854057312},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.01090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.17776","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.17776","pdf_url":"https://arxiv.org/pdf/2411.17776","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,"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.2411.17776","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.17776","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,"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.17776","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.17776","pdf_url":"https://arxiv.org/pdf/2411.17776","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,"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":[],"awards":[{"id":"https://openalex.org/G6576421683","display_name":null,"funder_award_id":"CG2025-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"},{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404990122.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Text-based":[0],"person":[1,49],"search":[2],"aims":[3],"to":[4],"retrieve":[5],"specific":[6],"individuals":[7],"across":[8],"camera":[9],"networks":[10],"using":[11],"natural":[12],"language":[13],"descriptions.":[14],"However,":[15],"current":[16],"benchmarks":[17],"often":[18],"exhibit":[19],"biases":[20],"towards":[21],"common":[22],"actions":[23],"like":[24],"walking":[25],"or":[26,58],"standing,":[27],"neglecting":[28],"the":[29,65,95,105,124,134,158,167,172],"critical":[30],"need":[31],"for":[32],"identifying":[33],"abnormal":[34],"behaviors":[35],"in":[36,55],"real-world":[37,129],"scenarios.":[38],"To":[39,63,132],"meet":[40],"such":[41],"demands,":[42],"we":[43,73,138],"propose":[44],"a":[45,75,84,140],"new":[46,71],"task,":[47,72],"text-based":[48],"anomaly":[50],"search,":[51],"locating":[52],"pedestrians":[53],"engaged":[54],"both":[56,119],"routine":[57],"anomalous":[59],"activities":[60],"via":[61],"text.":[62],"enable":[64],"training":[66,109,164],"and":[67,94,102,121,171,188],"evaluation":[68],"of":[69,87,104,111,118,136],"this":[70],"construct":[74],"large-scale":[76],"image-text":[77,116,130],"Pedestrian":[78],"Anomaly":[79],"Behavior":[80],"(PAB)":[81],"benchmark,":[82],"featuring":[83],"broad":[85],"spectrum":[86],"actions,":[88],"e.g.,":[89,98],"running,":[90],"performing,":[91],"playing":[92],"soccer,":[93],"corresponding":[96],"anomalies,":[97,122],"lying,":[99],"being":[100],"hit,":[101],"falling":[103],"same":[106],"identity.":[107],"The":[108,185],"set":[110,126],"PAB":[112],"comprises":[113],"1,013,605":[114],"synthesized":[115],"pairs":[117],"normalities":[120],"while":[123],"test":[125],"includes":[127],"1,978":[128],"pairs.":[131],"validate":[133],"potential":[135],"PAB,":[137],"introduce":[139],"cross-modal":[141],"pose-aware":[142,174],"framework,":[143],"which":[144],"integrates":[145],"human":[146],"pose":[147],"patterns":[148],"with":[149],"identity-based":[150],"hard":[151],"negative":[152],"pair":[153],"sampling.":[154],"Extensive":[155],"experiments":[156],"on":[157],"proposed":[159,173],"benchmark":[160],"show":[161],"that":[162],"synthetic":[163],"data":[165],"facilitates":[166],"fine-grained":[168],"behavior":[169],"retrieval,":[170],"method":[175],"arrives":[176],"at":[177,192],"84.93%":[178],"recall@1":[179],"accuracy,":[180],"surpassing":[181],"other":[182],"competitive":[183],"methods.":[184],"dataset,":[186],"model,":[187],"code":[189],"are":[190],"available":[191],"https://github.com/Shuyu-XJTU/CMP.":[193]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
