{"id":"https://openalex.org/W4416249609","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228540","title":"DiffusionHead:Dense crowd target head detection based on diffusion model","display_name":"DiffusionHead:Dense crowd target head detection based on diffusion model","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249609","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228540"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5113912707","display_name":"Yifeng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifeng Xu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026151620","display_name":"Xingang Wang","orcid":"https://orcid.org/0000-0002-6851-0109"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Wang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050152195","display_name":"Wenze Liu","orcid":"https://orcid.org/0000-0002-1510-6196"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenze Liu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037259869","display_name":"Xiaohan Qi","orcid":"https://orcid.org/0009-0004-9283-0307"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Qi","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018929201","display_name":"Fengxin Du","orcid":"https://orcid.org/0009-0007-3074-6064"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxin Du","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113912707"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34251125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5859000086784363,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5859000086784363,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.1160999983549118,"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/T11448","display_name":"Face recognition and analysis","score":0.05310000106692314,"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/pyramid","display_name":"Pyramid (geometry)","score":0.6592000126838684},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6226999759674072},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.614799976348877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5407000184059143},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5076000094413757},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4668000042438507},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4560000002384186},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.439300000667572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817999720573425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7573000192642212},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6592000126838684},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6226999759674072},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.614799976348877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6036999821662903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5407000184059143},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5076000094413757},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.439300000667572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3752000033855438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2989000082015991},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2712000012397766}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324887","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1917431891","https://openalex.org/W2173179171","https://openalex.org/W2565639579","https://openalex.org/W2579152745","https://openalex.org/W2609107023","https://openalex.org/W2948208276","https://openalex.org/W2963011882","https://openalex.org/W2963150697","https://openalex.org/W2963856926","https://openalex.org/W2963857746","https://openalex.org/W2964290048","https://openalex.org/W2994972433","https://openalex.org/W3035323039","https://openalex.org/W3166543103","https://openalex.org/W3172752666","https://openalex.org/W4312933868","https://openalex.org/W4312938066","https://openalex.org/W4388017376","https://openalex.org/W4390872705","https://openalex.org/W4390873752","https://openalex.org/W4402754006","https://openalex.org/W4404819792"],"related_works":[],"abstract_inverted_index":{"In":[0],"several":[1],"domains,":[2],"including":[3,33],"intelligent":[4],"traffic":[5],"management":[6],"systems,":[7],"population":[8],"density":[9],"analysis,":[10],"security":[11],"monitoring,":[12],"and":[13,46,92,104,114,140,150,173,194],"behavior":[14],"pattern":[15],"recognition,":[16],"head":[17,68,161,166],"detection":[18,24,59,69,112],"is":[19,117],"essential.":[20],"However,":[21],"traditional":[22],"object":[23,44],"methods":[25],"face":[26],"significant":[27],"challenges":[28],"in":[29,57,199],"dense":[30],"crowd":[31,51],"scenarios,":[32],"but":[34],"not":[35],"limited":[36],"to":[37,159],"occlusion,":[38],"motion":[39],"blur,":[40],"complex":[41],"backgrounds,":[42],"small":[43],"detection,":[45],"image":[47,126],"degradation":[48],"caused":[49],"by":[50],"density.":[52],"These":[53],"issues":[54],"often":[55],"result":[56],"unsatisfactory":[58],"performance.":[60],"To":[61],"address":[62],"these":[63],"challenges,":[64],"We":[65],"propose":[66],"a":[67,79,88,130,135,141],"framework":[70],"based":[71],"on":[72,170],"diffusion":[73],"models,":[74],"called":[75],"DiffusionHead.":[76,204],"It":[77,128],"comprises":[78],"cascade":[80],"refinement":[81,90],"module,":[82,87,91],"an":[83],"adaptive":[84],"conditional":[85,89],"generation":[86],"the":[93,108,118,171,187,190,195,201],"proposed":[94],"Foreground-Enhanced":[95],"Context-Aware":[96],"Feature":[97],"Pyramid":[98],"Network":[99],"(FEC-FAFPN).":[100],"Using":[101],"feature":[102,131],"fusion":[103],"contextual":[105,152],"information":[106],"extraction,":[107],"model":[109],"achieves":[110],"improved":[111],"accuracy":[113],"robustness.":[115],"FEC-FAFPN":[116],"core":[119],"component":[120],"of":[121,189,203],"DiffusionHead,":[122],"responsible":[123],"for":[124],"extracting":[125],"features.":[127],"integrates":[129],"pyramid":[132],"network":[133],"(FPN),":[134],"deformable":[136],"self-calibrated":[137],"module":[138],"(DSCM),":[139],"Context-sensitive":[142],"Prediction":[143,197],"Module":[144,193,198],"(CPM).":[145],"By":[146],"enhancing":[147,200],"foreground":[148],"objects":[149],"incorporating":[151],"information,":[153],"it":[154],"significantly":[155,179],"boosts":[156],"DiffusionHead\u2019s":[157],"capability":[158],"recognize":[160],"features,":[162],"enabling":[163],"more":[164],"accurate":[165],"detection.":[167],"Experimental":[168],"results":[169],"SCUT-HEAD":[172],"CroHD":[174],"datasets":[175],"demonstrate":[176],"that":[177],"DiffusionHead":[178],"outperforms":[180],"existing":[181],"methods.":[182],"Ablation":[183],"studies":[184],"further":[185],"validate":[186],"importance":[188],"Deformable":[191],"Self-Calibrated":[192],"Context-Sensitive":[196],"performance":[202]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
