{"id":"https://openalex.org/W4390263318","doi":"https://doi.org/10.1145/3638774","title":"CrowdGraph: Weakly supervised Crowd Counting via Pure Graph Neural Network","display_name":"CrowdGraph: Weakly supervised Crowd Counting via Pure Graph Neural Network","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390263318","doi":"https://doi.org/10.1145/3638774"},"language":"en","primary_location":{"id":"doi:10.1145/3638774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638774","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5101787439","display_name":"Chengyang Zhang","orcid":"https://orcid.org/0000-0003-3658-5779"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengyang Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3658-5779","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6650-6790","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374491","display_name":"Bo Li","orcid":"https://orcid.org/0000-0003-0608-1502"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0608-1502","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027030083","display_name":"Xinglin Piao","orcid":"https://orcid.org/0000-0003-3774-5789"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglin Piao","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3774-5789","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102834580","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0002-8125-4648"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8125-4648","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101787439"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":2.7839,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92516067,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"20","issue":"5","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9884999990463257,"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/computer-science","display_name":"Computer science","score":0.8027060031890869},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5880078077316284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5595763325691223},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5370527505874634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4913593828678131},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47926613688468933},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.46762901544570923},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30879610776901245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027060031890869},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5880078077316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595763325691223},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5370527505874634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4913593828678131},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47926613688468933},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.46762901544570923},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30879610776901245},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638774","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2392307573","display_name":null,"funder_award_id":"62072015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4923111494","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5952356426","display_name":null,"funder_award_id":"62072015, U21B2038, U19B2039, and 61902053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6077705658","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7583432342","display_name":null,"funder_award_id":"61902053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7744321187","display_name":null,"funder_award_id":"U19B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W2412782625","https://openalex.org/W2463631526","https://openalex.org/W2886443245","https://openalex.org/W2895051362","https://openalex.org/W2945574898","https://openalex.org/W2945582636","https://openalex.org/W2963693541","https://openalex.org/W2964209782","https://openalex.org/W2979750740","https://openalex.org/W2982007926","https://openalex.org/W2982014038","https://openalex.org/W2990045899","https://openalex.org/W3004672782","https://openalex.org/W3009231981","https://openalex.org/W3015199478","https://openalex.org/W3015469128","https://openalex.org/W3026197937","https://openalex.org/W3027606690","https://openalex.org/W3034345703","https://openalex.org/W3081099313","https://openalex.org/W3096362535","https://openalex.org/W3097407159","https://openalex.org/W3123090226","https://openalex.org/W3126263946","https://openalex.org/W3131500599","https://openalex.org/W3132588545","https://openalex.org/W3143835353","https://openalex.org/W3154723007","https://openalex.org/W3162926177","https://openalex.org/W3174320978","https://openalex.org/W3175515048","https://openalex.org/W3175725565","https://openalex.org/W3176458063","https://openalex.org/W3189653508","https://openalex.org/W3202884348","https://openalex.org/W3203495278","https://openalex.org/W3203845557","https://openalex.org/W3209325172","https://openalex.org/W4205890571","https://openalex.org/W4210523700","https://openalex.org/W4221144926","https://openalex.org/W4221152516","https://openalex.org/W4221160491","https://openalex.org/W4225264236","https://openalex.org/W4226527704","https://openalex.org/W4234552385","https://openalex.org/W4246621002","https://openalex.org/W4281749186","https://openalex.org/W4285212493","https://openalex.org/W4287816982","https://openalex.org/W4292262994","https://openalex.org/W4293235570","https://openalex.org/W4294310792","https://openalex.org/W4312613051","https://openalex.org/W4312791242","https://openalex.org/W4312933868","https://openalex.org/W4313182800","https://openalex.org/W4319300985","https://openalex.org/W4320167334","https://openalex.org/W4320713392","https://openalex.org/W4360885099","https://openalex.org/W4362588015","https://openalex.org/W4365141874","https://openalex.org/W4367050941","https://openalex.org/W4377101865","https://openalex.org/W4385245566","https://openalex.org/W4388430257","https://openalex.org/W4389217039","https://openalex.org/W4389417907","https://openalex.org/W6739901393","https://openalex.org/W6795288823","https://openalex.org/W6848935878"],"related_works":["https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W2154955495","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W2097922264","https://openalex.org/W1997780040","https://openalex.org/W2282342021","https://openalex.org/W4233026749"],"abstract_inverted_index":{"Most":[0],"existing":[1],"weakly":[2,103,196],"supervised":[3,104,197],"crowd":[4,95,105,180],"counting":[5,67,96,106,181,204],"methods":[6,33,198],"utilize":[7],"Convolutional":[8],"Neural":[9,175],"Networks":[10],"(CNN)":[11],"or":[12],"Transformer":[13],"to":[14,62,129],"estimate":[15],"the":[16,51,66,70,77,83,102,113,133,157,164,173,179,187],"total":[17],"number":[18],"of":[19,69,159],"individuals":[20],"in":[21,38,65],"an":[22],"image.":[23],"However,":[24],"both":[25],"CNN-based":[26,192],"(grid-to-count":[27],"paradigm)":[28,32],"and":[29,75,123,152,193,200],"Transformer-based":[30,195],"(sequence-to-count":[31],"take":[34],"images":[35],"as":[36,120],"inputs":[37],"a":[39,63,92,109,121,124,141,146,153],"regular":[40],"form.":[41],"This":[42,58],"approach":[43],"treats":[44],"all":[45],"pixels":[46],"equally":[47],"but":[48],"cannot":[49],"address":[50],"uneven":[52],"distribution":[53],"problem":[54,107],"within":[55],"human":[56],"crowds.":[57],"challenge":[59],"would":[60],"lead":[61],"decline":[64],"performance":[68],"model.":[71],"Compared":[72],"with":[73],"grid":[74],"sequence,":[76],"graph":[78,134,143,149],"structure":[79],"could":[80],"better":[81],"explore":[82],"relationship":[84],"among":[85],"features.":[86],"In":[87,112],"this":[88],"article,":[89],"we":[90],"propose":[91],"new":[93],"graph-based":[94,125],"method":[97,166],"named":[98],"CrowdGraph,":[99,115],"which":[100],"reinterprets":[101],"from":[108],"graph-to-count":[110],"perspective.":[111],"proposed":[114,188],"each":[116],"image":[117],"is":[118,127,163,168],"constructed":[119],"graph,":[122],"network":[126],"designed":[128],"extract":[130],"features":[131],"at":[132],"level.":[135],"CrowdGraph":[136,162,189],"comprises":[137],"three":[138],"main":[139],"components:":[140],"dynamic":[142],"convolutional":[144],"backbone,":[145],"multi-scale":[147],"dilated":[148],"convolution":[150],"module,":[151],"regression":[154],"head.":[155],"To":[156],"best":[158],"our":[160],"knowledge,":[161],"first":[165],"that":[167,186],"completely":[169],"formulated":[170],"based":[171],"on":[172],"Graph":[174],"Network":[176],"(GNN)":[177],"for":[178],"task.":[182],"Extensive":[183],"experiments":[184],"demonstrate":[185],"outperforms":[190],"pure":[191,194],"comprehensively":[199],"achieves":[201],"highly":[202],"competitive":[203],"performance.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}