{"id":"https://openalex.org/W3016096262","doi":"https://doi.org/10.1109/icassp40776.2020.9054238","title":"Stochastic Multi-Scale Aggregation Network for Crowd Counting","display_name":"Stochastic Multi-Scale Aggregation Network for Crowd Counting","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016096262","doi":"https://doi.org/10.1109/icassp40776.2020.9054238","mag":"3016096262"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100634350","display_name":"Mingjie Wang","orcid":"https://orcid.org/0000-0002-7346-1110"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mingjie Wang","raw_affiliation_strings":["Department of Computer Science, Memorial University of Newfoundland, NL, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Memorial University of Newfoundland, NL, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101889454","display_name":"Hao Cai","orcid":"https://orcid.org/0000-0002-9222-6060"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao Cai","raw_affiliation_strings":["Department of Computer Science, Memorial University of Newfoundland, NL, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Memorial University of Newfoundland, NL, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Mathematical Sciences, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109011312","display_name":"Minglun Gong","orcid":"https://orcid.org/0000-0001-5820-5381"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Minglun Gong","raw_affiliation_strings":["School of Computer Science, University of Guelph, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100634350"],"corresponding_institution_ids":["https://openalex.org/I130438778"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71032466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2008","last_page":"2012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9983000159263611,"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":0.9933000206947327,"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/subnetwork","display_name":"Subnetwork","score":0.8470690250396729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173750996589661},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6336371898651123},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5968850255012512},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5292274951934814},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4527679681777954},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4231109023094177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40877774357795715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3397948741912842},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32451003789901733},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10018253326416016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09603238105773926}],"concepts":[{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.8470690250396729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173750996589661},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6336371898651123},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5968850255012512},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5292274951934814},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4527679681777954},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4231109023094177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40877774357795715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3397948741912842},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32451003789901733},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10018253326416016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09603238105773926},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1910776219","https://openalex.org/W1976959044","https://openalex.org/W1978232622","https://openalex.org/W2031454541","https://openalex.org/W2072232009","https://openalex.org/W2075875861","https://openalex.org/W2122243179","https://openalex.org/W2145983039","https://openalex.org/W2463631526","https://openalex.org/W2514654788","https://openalex.org/W2519281173","https://openalex.org/W2520826941","https://openalex.org/W2619184049","https://openalex.org/W2741077351","https://openalex.org/W2798489385","https://openalex.org/W2798490576","https://openalex.org/W2886443245","https://openalex.org/W2895051362","https://openalex.org/W2922282711","https://openalex.org/W2950956440","https://openalex.org/W2963231953","https://openalex.org/W2963893037","https://openalex.org/W2964209782","https://openalex.org/W2967069910","https://openalex.org/W2967776630","https://openalex.org/W2969620138","https://openalex.org/W2982014038","https://openalex.org/W2987761108","https://openalex.org/W6681368121","https://openalex.org/W6727269357","https://openalex.org/W6738514645","https://openalex.org/W6754756387","https://openalex.org/W6763675127"],"related_works":["https://openalex.org/W2359640100","https://openalex.org/W3092649508","https://openalex.org/W2951442567","https://openalex.org/W2785910460","https://openalex.org/W4299317306","https://openalex.org/W2769954154","https://openalex.org/W2903766720","https://openalex.org/W3215176889","https://openalex.org/W2924961378","https://openalex.org/W3128469496"],"abstract_inverted_index":{"Crowd":[0],"counting":[1],"from":[2,18],"unconstrained":[3],"and":[4,22,52,69,87,105],"congested":[5],"scenes":[6],"is":[7,98,115],"an":[8],"important":[9],"task":[10],"in":[11,123],"computer":[12],"vision.":[13],"Its":[14],"main":[15],"difficulties":[16],"stem":[17],"large":[19],"scale/density":[20],"variation":[21],"prone":[23],"to":[24,80,90,100,119],"over-fitting.":[25],"This":[26],"paper":[27],"presents":[28],"a":[29,124],"novel":[30],"end-to-end":[31],"stochastic":[32,62,74,125],"multi-scale":[33,63,121],"aggregation":[34,64,75],"network":[35],"(SMANet)":[36],"which":[37,59],"carefully":[38],"addresses":[39],"these":[40],"issues.":[41],"Specifically,":[42],"general":[43],"features":[44,82,122],"are":[45],"first":[46,117],"extracted":[47],"by":[48],"the":[49,56,77,94,116,142],"front-end":[50],"subnetwork":[51,58],"then":[53],"fed":[54],"into":[55],"back-end":[57],"consists":[60],"of":[61,109],"module,":[65],"density":[66,107],"map":[67],"generator,":[68],"global":[70,95,102],"prior":[71,96],"encoder.":[72],"The":[73],"impels":[76],"multi-branch":[78],"units":[79],"learn":[81],"at":[83],"different":[84],"scales":[85],"effectively":[86],"reduces":[88],"sensitivity":[89],"scale":[91],"variations,":[92],"whereas":[93],"encoder":[97],"designed":[99],"encode":[101],"contextual":[103],"information":[104],"guarantee":[106],"consistency":[108],"shared":[110],"representations.":[111],"Our":[112],"proposed":[113],"SMANet":[114,139],"work":[118],"fuse":[120],"manner":[126],"for":[127],"crowd":[128],"counting.":[129],"Experimental":[130],"results":[131],"on":[132],"four":[133],"public":[134],"datasets":[135],"demonstrate":[136],"that":[137],"our":[138],"consistently":[140],"outperforms":[141],"state-of-the-arts.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-19T06:27:42.648592","created_date":"2025-10-10T00:00:00"}