{"id":"https://openalex.org/W7225320618","doi":"https://doi.org/10.1109/tpami.2026.3751067","title":"Hyper-Counter: Cross-Modal Hypergraph Fusion for RGB-T Crowd Counting","display_name":"Hyper-Counter: Cross-Modal Hypergraph Fusion for RGB-T Crowd Counting","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7225320618","doi":"https://doi.org/10.1109/tpami.2026.3751067","pmid":"https://pubmed.ncbi.nlm.nih.gov/42986733"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2026.3751067","doi":"https://doi.org/10.1109/tpami.2026.3751067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3751067","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tpami.2026.3751067","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101423290","display_name":"Mengqi Lei","orcid":"https://orcid.org/0009-0007-5894-8776","observed_orcids":["https://orcid.org/0009-0007-5894-8776"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqi Lei","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336543","display_name":"Siqi Li","orcid":"https://orcid.org/0000-0001-9720-826X","observed_orcids":["https://orcid.org/0000-0001-9720-826X"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Li","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":"https://orcid.org/0000-0001-9720-826X","affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062424202","display_name":"Xinhu Zheng","orcid":"https://orcid.org/0000-0002-9898-5543","observed_orcids":["https://orcid.org/0000-0002-9898-5543","https://orcid.org/0009-0001-5918-3361"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhu Zheng","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou)"],"raw_orcid":"https://orcid.org/0000-0002-9898-5543","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073110370","display_name":"Nan Ma","orcid":"https://orcid.org/0000-0001-9544-0348","observed_orcids":["https://orcid.org/0000-0001-9544-0348"]},"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":"Nan Ma","raw_affiliation_strings":["Beijing University of Technology"],"raw_orcid":"https://orcid.org/0000-0001-9544-0348","affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733163","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0001-6300-578X","observed_orcids":["https://orcid.org/0000-0001-6300-578X","https://orcid.org/0000-0002-0597-1426"]},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongze Wu","raw_affiliation_strings":["Shenzhen University"],"raw_orcid":"https://orcid.org/0000-0002-0597-1426","affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044668212","display_name":"Shaoyi Du","orcid":"https://orcid.org/0000-0002-7092-0596","observed_orcids":["https://orcid.org/0000-0002-7092-0596"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-7092-0596","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X","observed_orcids":["https://orcid.org/0000-0002-4971-590X","https://orcid.org/0000-0001-6502-9910"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":"https://orcid.org/0000-0002-4971-590X","affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":{"value":2645,"currency":"USD","value_usd":2645},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"PP","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9243000149726868,"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":0.9243000149726868,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0430000014603138,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.002899999963119626,"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/hypergraph-neural-networks","display_name":"hypergraph neural networks","score":0.6949999928474426},{"id":"https://openalex.org/keywords/cross-modal-feature-fusion","display_name":"cross-modal feature fusion","score":0.9700000286102295},{"id":"https://openalex.org/keywords/thermal-infrared-images","display_name":"thermal infrared images","score":0.7580000162124634},{"id":"https://openalex.org/keywords/cross-modal-feature-alignment","display_name":"cross-modal feature alignment","score":0.753000020980835},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.7039999961853027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348000168800354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5770000219345093},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.5719000101089478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3481999933719635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2761000096797943},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26190000772476196},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2026.3751067","doi":"https://doi.org/10.1109/tpami.2026.3751067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3751067","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:42986733","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42986733","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/tpami.2026.3751067","doi":"https://doi.org/10.1109/tpami.2026.3751067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3751067","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4246019546","https://openalex.org/W4416353647","https://openalex.org/W7221796817","https://openalex.org/W4400726647","https://openalex.org/W7134166262","https://openalex.org/W4392397427","https://openalex.org/W7140444394","https://openalex.org/W7140381993","https://openalex.org/W7167461777","https://openalex.org/W7201840878"],"abstract_inverted_index":{"In":[0,213],"RGB-T":[1,80],"crowd":[2,81,210],"counting,":[3],"the":[4,17,20,39,44,84,104,136,157,173,185,217,227],"performance":[5],"of":[6],"existing":[7,208],"methods":[8],"is":[9,132,182],"often":[10],"constrained":[11],"by":[12,232],"two":[13,195],"major":[14],"challenges.":[15],"On":[16,38],"one":[18],"hand,":[19,41],"inherent":[21],"spatial":[22],"misalignment":[23],"between":[24],"RGB":[25],"and":[26,34,51,97,128,138,153,170,200,229,234],"thermal":[27],"infrared":[28],"images":[29],"makes":[30],"cross-modal":[31,116,130,139],"feature":[32,122],"alignment":[33],"fusion":[35],"extremely":[36],"difficult.":[37],"other":[40],"effectively":[42,171],"integrating":[43],"complementary":[45,175],"semantic":[46,150,176,191],"information":[47,151],"from":[48,106],"both":[49,107],"modalities":[50,108,164],"capturing":[52],"their":[53],"complex":[54],"high-order":[55],"associations":[56],"remains":[57],"a":[58,68,115,129,166,179],"significant":[59],"challenge.":[60],"To":[61],"address":[62],"these":[63],"issues,":[64],"we":[65,88,113],"propose":[66],"Hyper-Counter,":[67],"novel":[69],"framework":[70,205],"based":[71,134],"on":[72,135,194,222],"crossmodal":[73],"hypergraph":[74,77,117,131],"fusion,":[75],"introducing":[76],"learning":[78],"into":[79,109],"counting":[82,211],"for":[83],"first":[85],"time.":[86],"Specifically,":[87],"utilize":[89],"parallel":[90],"Transformer":[91],"backbones":[92],"to":[93,101,147,188],"extract":[94],"multi-scale":[95],"features":[96,105],"employ":[98],"convolutional":[99],"blocks":[100],"preliminarily":[102],"fuse":[103],"joint":[110,137],"features.":[111,140],"Subsequently,":[112],"design":[114],"perception":[118],"module":[119],"(CroM-HP),":[120],"where":[121],"patches":[123],"are":[124,144],"treated":[125],"as":[126],"vertices,":[127],"constructed":[133],"Hypergraph":[141],"neural":[142],"networks":[143],"then":[145],"used":[146,197],"achieve":[148,189],"efficient":[149],"interaction":[152],"fusion.":[154],"Through":[155],"CroM-HP,":[156],"model":[158],"can":[159],"associate":[160],"corresponding":[161],"regions":[162],"across":[163],"in":[165,184],"spatially":[167],"flexible":[168],"manner":[169],"capture":[172],"intricate":[174],"correlations.":[177],"Moreover,":[178],"pyramid":[180],"structure":[181],"adopted":[183],"multi-level":[186],"CroM-HPs":[187],"cross-scale":[190],"transmission.":[192],"Experiments":[193],"widely":[196],"datasets,":[198],"RGBT-CC":[199],"Drone-RGBT,":[201,223],"demonstrate":[202],"that":[203],"our":[204],"consistently":[206],"outperforms":[207],"RGBT":[209],"methods.":[212],"particular,":[214],"compared":[215],"with":[216],"representative":[218],"prior":[219],"method":[220],"BMCC":[221],"Hyper-":[224],"Counter":[225],"improves":[226],"GAME(0)":[228],"RMSE":[230],"metrics":[231],"7.58%":[233],"9.71%,":[235],"respectively.":[236]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-11-06T00:00:00"}