{"id":"https://openalex.org/W4402508652","doi":"https://doi.org/10.1109/tcsvt.2024.3460482","title":"Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization","display_name":"Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4402508652","doi":"https://doi.org/10.1109/tcsvt.2024.3460482"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3460482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3460482","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5079783863","display_name":"Y. L. Fan","orcid":"https://orcid.org/0009-0000-7381-0299"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowu Fan","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-7381-0299","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043446618","display_name":"Jia Wan","orcid":"https://orcid.org/0000-0001-8198-1629"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8198-1629","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085704922","display_name":"J. Andy","orcid":"https://orcid.org/0000-0002-0165-8416"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Andy J. Ma","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0165-8416","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4355,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78447193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"1","first_page":"713","last_page":"727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9900000095367432,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9817000031471252,"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":0.5991374850273132},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5749266743659973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574227571487427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38991332054138184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3330719769001007},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09634074568748474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5991374850273132},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5749266743659973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574227571487427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38991332054138184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3330719769001007},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09634074568748474},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3460482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3460482","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G679885416","display_name":null,"funder_award_id":"U22-A2095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7052660066","display_name":null,"funder_award_id":"62276281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G721370386","display_name":null,"funder_award_id":"62406090","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1976959044","https://openalex.org/W1987118352","https://openalex.org/W2072232009","https://openalex.org/W2085261163","https://openalex.org/W2088049833","https://openalex.org/W2123175289","https://openalex.org/W2168356304","https://openalex.org/W2222512263","https://openalex.org/W2541389513","https://openalex.org/W2604974201","https://openalex.org/W2741077351","https://openalex.org/W2883820570","https://openalex.org/W2886443245","https://openalex.org/W2897819140","https://openalex.org/W2962793481","https://openalex.org/W2962832028","https://openalex.org/W2963052201","https://openalex.org/W2963693541","https://openalex.org/W2963838390","https://openalex.org/W2964209782","https://openalex.org/W2964319113","https://openalex.org/W2967069910","https://openalex.org/W2982103617","https://openalex.org/W3004672782","https://openalex.org/W3007175960","https://openalex.org/W3035307763","https://openalex.org/W3045455261","https://openalex.org/W3081099313","https://openalex.org/W3082125592","https://openalex.org/W3094502228","https://openalex.org/W3096831136","https://openalex.org/W3097407159","https://openalex.org/W3134101093","https://openalex.org/W3135235283","https://openalex.org/W3145352303","https://openalex.org/W3176458063","https://openalex.org/W3176659256","https://openalex.org/W3180217530","https://openalex.org/W3203845557","https://openalex.org/W3207705058","https://openalex.org/W3208044643","https://openalex.org/W3213366174","https://openalex.org/W4200081283","https://openalex.org/W4205884078","https://openalex.org/W4206471589","https://openalex.org/W4210523700","https://openalex.org/W4221147659","https://openalex.org/W4225264236","https://openalex.org/W4283312418","https://openalex.org/W4285295030","https://openalex.org/W4294310792","https://openalex.org/W4312281830","https://openalex.org/W4312613051","https://openalex.org/W4317604153","https://openalex.org/W4319866161","https://openalex.org/W4365141874","https://openalex.org/W4375869351","https://openalex.org/W4382240725","https://openalex.org/W4385257175","https://openalex.org/W4385338606","https://openalex.org/W4385774762","https://openalex.org/W4386076535","https://openalex.org/W4388192777","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6681368121","https://openalex.org/W6744170603","https://openalex.org/W6750227808","https://openalex.org/W6779823529","https://openalex.org/W6783507135","https://openalex.org/W6785789763","https://openalex.org/W6787680731","https://openalex.org/W6809964272","https://openalex.org/W6838665913","https://openalex.org/W6856033936","https://openalex.org/W6861341058"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0],"count":[1],"supervision":[2,158],"used":[3],"in":[4,173,191,223],"weakly-supervised":[5],"crowd":[6,56,104],"counting":[7,57,224],"is":[8,22,146,196,237],"derived":[9],"from":[10,98],"the":[11,19,29,35,45,73,103,114,144,156,183],"number":[12,74],"of":[13,31,47,77,159],"point":[14],"annotations,":[15],"which":[16,69,122],"means":[17],"that":[18],"labeling":[20],"cost":[21],"not":[23,197],"effectively":[24,188],"reduced.":[25],"Moreover,":[26],"due":[27],"to":[28,42,94,200],"lack":[30],"spatial":[32],"information":[33],"about":[34],"pedestrians":[36],"during":[37],"training,":[38],"previous":[39],"works":[40],"struggle":[41],"accurately":[43,71],"learn":[44,116],"positions":[46],"individuals.":[48],"To":[49],"address":[50],"these":[51],"challenges,":[52],"we":[53],"propose":[54],"a":[55,130],"and":[58,75,106,119,135,137,166,195,225,231],"localization":[59,226],"method":[60,88],"based":[61,109,181],"on":[62,110,163,170,182,208],"scene-specific":[63,91,217],"synthetic":[64,92,112,127,164],"data":[65,93,128,165,172],"for":[66],"surveillance":[67,99],"scenarios,":[68],"can":[70,123],"predict":[72],"location":[76,118],"person":[78],"without":[79],"any":[80],"manually":[81],"labeled":[82],"point-wise":[83,141,161,168,193],"or":[84],"count-wise":[85],"annotations.":[86,142],"Our":[87,177],"dynamically":[89],"adjust":[90],"minimize":[95],"domain":[96,233],"differences":[97],"scenes":[100],"by":[101],"learning":[102],"scale":[105,120,136],"distribution.":[107],"Specifically,":[108],"realistic":[111],"data,":[113],"models":[115],"precise":[117],"information,":[121],"then":[124],"regenerate":[125],"new":[126],"with":[129],"more":[131],"reasonable":[132],"pedestrian":[133],"distribution":[134],"generate":[138],"high-quality":[139],"pseudo":[140,167,192],"Subsequently,":[143],"counter":[145],"trained":[147],"using":[148],"our":[149,220],"proposed":[150,178],"robust":[151],"soft-weighted":[152],"loss":[153,179],"function,":[154,180],"under":[155],"joint":[157],"auto-generated":[160],"annotations":[162,169],"real":[171,209],"an":[174],"end-to-end":[175],"manner.":[176],"designed":[184],"weighted":[185],"optimal":[186],"transport,":[187],"mitigates":[189],"noise":[190],"labels":[194],"only":[198],"insensitive":[199],"hyperparemeters":[201],"but":[202],"also":[203],"exhibits":[204],"superior":[205],"generalization":[206],"ability":[207],"data.":[210],"We":[211],"conduct":[212],"comprehensive":[213],"experiments":[214],"across":[215],"multiple":[216],"datasets,":[218],"demonstrating":[219],"method\u2019s":[221],"superiority":[222],"performance":[227],"over":[228],"count-supervised,":[229],"fully-supervised,":[230],"state-of-the-art":[232],"adaption":[234],"algorithms.":[235],"Code":[236],"available":[238],"athttps://github.com/fyw1999/LCSD.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
