{"id":"https://openalex.org/W4221147659","doi":"https://doi.org/10.1109/icassp43922.2022.9747070","title":"Enhancing and Dissecting Crowd Counting by Synthetic Data","display_name":"Enhancing and Dissecting Crowd Counting by Synthetic Data","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4221147659","doi":"https://doi.org/10.1109/icassp43922.2022.9747070"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747070","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089756759","display_name":"Yi Hou","orcid":"https://orcid.org/0000-0002-8097-0001"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Hou","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Video Technology,Beijing,China","National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Video Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646040","display_name":"Chengyang Li","orcid":"https://orcid.org/0000-0002-1379-1222"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyang Li","raw_affiliation_strings":["Peking University,School of Electronics Engineering and Computer Science,Beijing,China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronics Engineering and Computer Science,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006690717","display_name":"Yuheng Lu","orcid":"https://orcid.org/0000-0002-2767-0894"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Lu","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Video Technology,Beijing,China","National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Video Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627418","display_name":"Liping Zhu","orcid":"https://orcid.org/0000-0002-7841-5578"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhu","raw_affiliation_strings":["China University of Petroleum,Key Lab of Petroleum Data Mining,Beijing","Key Lab of Petroleum Data Mining, China University of Petroleum, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum,Key Lab of Petroleum Data Mining,Beijing","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"Key Lab of Petroleum Data Mining, China University of Petroleum, Beijing","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390903","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-8479-3049"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Video Technology,Beijing,China","National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Video Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027946490","display_name":"Huizhu Jia","orcid":"https://orcid.org/0000-0002-2778-3768"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhu Jia","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Video Technology,Beijing,China","National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Video Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101585261","display_name":"Xiaodong Xie","orcid":"https://orcid.org/0000-0002-4325-7741"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xie","raw_affiliation_strings":["Peking University,National Engineering Laboratory for Video Technology,Beijing,China","National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Laboratory for Video Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2539","last_page":"2543"},"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":0.9990000128746033,"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":0.989300012588501,"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":0.8354423642158508},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7519481182098389},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.581652820110321},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5519437789916992},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5407130718231201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503703773021698},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.48099029064178467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4604424238204956},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4517476260662079},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43946143984794617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11400586366653442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354423642158508},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7519481182098389},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.581652820110321},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5519437789916992},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5407130718231201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503703773021698},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.48099029064178467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4604424238204956},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4517476260662079},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43946143984794617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11400586366653442},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747070","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2072232009","https://openalex.org/W2108598243","https://openalex.org/W2123175289","https://openalex.org/W2321408197","https://openalex.org/W2397830550","https://openalex.org/W2431874326","https://openalex.org/W2463631526","https://openalex.org/W2517615595","https://openalex.org/W2583147637","https://openalex.org/W2586716774","https://openalex.org/W2741077351","https://openalex.org/W2792843139","https://openalex.org/W2795889831","https://openalex.org/W2886443245","https://openalex.org/W2888043458","https://openalex.org/W2889054948","https://openalex.org/W2895051362","https://openalex.org/W2899438351","https://openalex.org/W2953684117","https://openalex.org/W2963693541","https://openalex.org/W2964209782","https://openalex.org/W3004672782","https://openalex.org/W3015801606","https://openalex.org/W4289678532","https://openalex.org/W6637373629","https://openalex.org/W6712616374","https://openalex.org/W6748343077","https://openalex.org/W6749669070","https://openalex.org/W6753789716","https://openalex.org/W6754159609"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"In":[0],"this":[1,28],"article,":[2],"we":[3,110],"propose":[4],"a":[5,13,91,112,126,129],"simulated":[6],"crowd":[7,99,134],"counting":[8,135],"dataset":[9,29,105],"CrowdX,":[10],"which":[11],"has":[12],"large":[14,113],"scale,":[15],"accurate":[16],"labeling,":[17],"parameterized":[18],"realization,":[19],"and":[20,41,58,81,137],"high":[21],"fidelity.":[22],"The":[23,51],"experimental":[24],"results":[25],"of":[26,37,93,115,132,147],"using":[27],"as":[30,75],"data":[31],"enhancement":[32],"show":[33,64],"that":[34],"the":[35,38,103,133,144,148],"performance":[36,66],"proposed":[39],"streamlined":[40],"efficient":[42],"benchmark":[43],"network":[44],"ESA-Net":[45],"can":[46],"be":[47],"improved":[48],"by":[49],"8.4%.":[50],"other":[52],"two":[53],"classic":[54],"heterogeneous":[55],"architectures":[56],"MCNN":[57],"CSRNet":[59],"pre-trained":[60],"on":[61,95],"CrowdX":[62,104],"also":[63],"significant":[65],"improvements.":[67],"Considering":[68],"many":[69],"influencing":[70],"factors":[71,85],"determine":[72],"performance,":[73],"such":[74],"background,":[76],"camera":[77],"angle,":[78],"human":[79],"density,":[80],"resolution.":[82],"Although":[83],"these":[84,121],"are":[86],"important,":[87],"there":[88],"is":[89],"still":[90],"lack":[92],"research":[94,124],"how":[96],"they":[97],"affect":[98],"counting.":[100],"Thanks":[101],"to":[102,119],"with":[106],"rich":[107],"annotation":[108],"information,":[109],"conduct":[111],"number":[114],"data-driven":[116],"comparative":[117],"experiments":[118],"analyze":[120],"factors.":[122],"Our":[123],"provides":[125],"reference":[127],"for":[128],"deeper":[130],"understanding":[131],"problem":[136],"puts":[138],"forward":[139],"some":[140],"useful":[141],"suggestions":[142],"in":[143],"actual":[145],"deployment":[146],"algorithm.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
