{"id":"https://openalex.org/W3160183055","doi":"https://doi.org/10.1109/icpr48806.2021.9412883","title":"HANet: Hybrid Attention-aware Network for Crowd Counting","display_name":"HANet: Hybrid Attention-aware Network for Crowd Counting","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160183055","doi":"https://doi.org/10.1109/icpr48806.2021.9412883","mag":"3160183055"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5042666332","display_name":"Xinxing Su","orcid":"https://orcid.org/0000-0002-0412-7688"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinxing Su","raw_affiliation_strings":["Baidu Inc","Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101421559","display_name":"Yuchen Yuan","orcid":"https://orcid.org/0000-0002-5251-9942"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Yuan","raw_affiliation_strings":["Baidu Inc"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037463781","display_name":"Xiangbo Su","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbo Su","raw_affiliation_strings":["Baidu Inc","Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023883607","display_name":"Zhikang Zou","orcid":"https://orcid.org/0000-0003-3524-2942"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikang Zou","raw_affiliation_strings":["Baidu Inc"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101236503","display_name":"Shilei Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilei Wen","raw_affiliation_strings":["Baidu Inc"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693197","display_name":"Pan Zhou","orcid":"https://orcid.org/0000-0002-8629-4622"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042666332"],"corresponding_institution_ids":["https://openalex.org/I47720641","https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04486928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"7707","last_page":"7714"},"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":0.9965999722480774,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8071514368057251},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.794593334197998},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6588743925094604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683947801589966},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.5519810318946838},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49503034353256226},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4812012314796448},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12609750032424927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071514368057251},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.794593334197998},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6588743925094604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683947801589966},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.5519810318946838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49503034353256226},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4812012314796448},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12609750032424927},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1493892051","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1976959044","https://openalex.org/W1978232622","https://openalex.org/W2024165284","https://openalex.org/W2072232009","https://openalex.org/W2079023123","https://openalex.org/W2143043044","https://openalex.org/W2154823510","https://openalex.org/W2161969291","https://openalex.org/W2295107390","https://openalex.org/W2463631526","https://openalex.org/W2541389513","https://openalex.org/W2561238782","https://openalex.org/W2613718673","https://openalex.org/W2729018917","https://openalex.org/W2740620254","https://openalex.org/W2741077351","https://openalex.org/W2752782242","https://openalex.org/W2886443245","https://openalex.org/W2895051362","https://openalex.org/W2963091558","https://openalex.org/W2963231953","https://openalex.org/W2963420686","https://openalex.org/W2963728677","https://openalex.org/W2963893037","https://openalex.org/W2964121744","https://openalex.org/W2964209782","https://openalex.org/W2967069910","https://openalex.org/W2969620138","https://openalex.org/W2982007926","https://openalex.org/W2982014038","https://openalex.org/W2982021328","https://openalex.org/W2982130202","https://openalex.org/W2995582330","https://openalex.org/W3010021361","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W4249843299","https://openalex.org/W6668618559","https://openalex.org/W6754034799","https://openalex.org/W6754756387","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W3128220219"],"abstract_inverted_index":{"An":[0],"essential":[1],"yet":[2],"challenging":[3,156],"issue":[4],"in":[5,23,94],"crowd":[6],"counting":[7],"is":[8,127],"the":[9,42,46,77,80,87,95,98,102,105,108,116,146,152],"diverse":[10],"background":[11],"variations":[12],"under":[13],"complicated":[14],"real-life":[15],"environments,":[16],"which":[17],"makes":[18],"attention":[19,34,63,84],"based":[20],"methods":[21,29],"favorable":[22],"recent":[24],"years.":[25],"However,":[26],"most":[27],"existing":[28],"only":[30],"rely":[31],"on":[32,154],"first-order":[33],"schemes":[35],"(e.g.":[36],"2D":[37],"position-wise":[38],"attention),":[39],"while":[40],"ignoring":[41],"higher-order":[43],"information":[44],"within":[45],"congested":[47],"scenes":[48],"completely.":[49],"In":[50],"this":[51,74],"paper,":[52],"we":[53],"propose":[54],"a":[55,61,121],"hybrid":[56],"attention-aware":[57],"network":[58],"(HANet)":[59],"with":[60,101,130],"high-order":[62],"module":[64],"(HAM)":[65],"and":[66,132,138],"an":[67],"adaptive":[68],"compensation":[69],"loss":[70],"(ACLoss)":[71],"to":[72,85,114],"tackle":[73],"problem.":[75],"On":[76,97],"one":[78],"hand,":[79,100],"HAM":[81,131],"applies":[82],"3D":[83],"capture":[86],"subtle":[88],"discriminative":[89],"features":[90],"around":[91],"each":[92,140],"people":[93],"crowd.":[96],"other":[99],"distributed":[103],"supervision,":[104],"ACLoss":[106,133],"exploits":[107],"prior":[109],"knowledge":[110],"from":[111],"higher-level":[112],"stages":[113],"guide":[115],"density":[117],"map":[118],"prediction":[119],"at":[120],"lower":[122],"level.":[123],"The":[124],"proposed":[125],"HANet":[126,150],"then":[128],"established":[129],"working":[134],"as":[135],"different":[136],"roles":[137],"promoting":[139],"other.":[141],"Extensive":[142],"experimental":[143],"results":[144],"show":[145],"superiority":[147],"of":[148],"our":[149],"against":[151],"state-of-the-arts":[153],"three":[155],"benchmarks.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
