{"id":"https://openalex.org/W4367663172","doi":"https://doi.org/10.1109/lra.2023.3272269","title":"Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks","display_name":"Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4367663172","doi":"https://doi.org/10.1109/lra.2023.3272269"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2023.3272269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2023.3272269","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","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/A5054433191","display_name":"Mingjian Liang","orcid":"https://orcid.org/0000-0001-5527-7136"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingjian Liang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085263462","display_name":"Junjie Hu","orcid":"https://orcid.org/0000-0002-1911-4361"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Hu","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051000963","display_name":"Chenyu Bao","orcid":"https://orcid.org/0009-0001-6921-538X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Bao","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101473161","display_name":"Feng Hua","orcid":"https://orcid.org/0000-0002-8098-9095"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Feng","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082314454","display_name":"Fuqin Deng","orcid":"https://orcid.org/0000-0002-7071-7184"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqin Deng","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076185690","display_name":"Tin Lun Lam","orcid":"https://orcid.org/0000-0002-6363-1446"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tin Lun Lam","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054433191"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":15.1763,"has_fulltext":false,"cited_by_count":126,"citation_normalized_percentile":{"value":0.99428586,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"7","first_page":"4060","last_page":"4067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9991999864578247,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7617819309234619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7112086415290833},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6956425905227661},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6767573952674866},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5936978459358215},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5630058646202087},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5560745000839233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5489242672920227},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5377635359764099},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5092312097549438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4966455101966858},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48406782746315},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4682159423828125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45230937004089355},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.44264450669288635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18783625960350037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09533262252807617}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7617819309234619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7112086415290833},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6956425905227661},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6767573952674866},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5936978459358215},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5630058646202087},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5560745000839233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5489242672920227},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5377635359764099},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5092312097549438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4966455101966858},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48406782746315},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4682159423828125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45230937004089355},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.44264450669288635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18783625960350037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09533262252807617},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2023.3272269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2023.3272269","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1160427777","display_name":null,"funder_award_id":"62073274","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1203557841","https://openalex.org/W1576278180","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2132083787","https://openalex.org/W2194775991","https://openalex.org/W2504335775","https://openalex.org/W2560023338","https://openalex.org/W2587989515","https://openalex.org/W2752782242","https://openalex.org/W2774839435","https://openalex.org/W2921749009","https://openalex.org/W2942049721","https://openalex.org/W2945809413","https://openalex.org/W2955171701","https://openalex.org/W2962914239","https://openalex.org/W2963037989","https://openalex.org/W2963085671","https://openalex.org/W2963911235","https://openalex.org/W2964297221","https://openalex.org/W2964309882","https://openalex.org/W2967052791","https://openalex.org/W2971014764","https://openalex.org/W2981689412","https://openalex.org/W2985335644","https://openalex.org/W2995936506","https://openalex.org/W3004672782","https://openalex.org/W3033020497","https://openalex.org/W3034320133","https://openalex.org/W3035633116","https://openalex.org/W3039479109","https://openalex.org/W3046194589","https://openalex.org/W3091001089","https://openalex.org/W3097053213","https://openalex.org/W3107497254","https://openalex.org/W3108288688","https://openalex.org/W3108601100","https://openalex.org/W3108822985","https://openalex.org/W3120474118","https://openalex.org/W3131439390","https://openalex.org/W3159018159","https://openalex.org/W3166016280","https://openalex.org/W3166092877","https://openalex.org/W3171757599","https://openalex.org/W3177211876","https://openalex.org/W3182674219","https://openalex.org/W3185043317","https://openalex.org/W3198062544","https://openalex.org/W3206439726","https://openalex.org/W4200613742","https://openalex.org/W4224944713","https://openalex.org/W4281709219","https://openalex.org/W4285205872","https://openalex.org/W4285244413","https://openalex.org/W4295832202","https://openalex.org/W4312269470","https://openalex.org/W4312594135","https://openalex.org/W4312880818","https://openalex.org/W4316654064","https://openalex.org/W4319866558","https://openalex.org/W4319879007","https://openalex.org/W4321505055","https://openalex.org/W4386076504","https://openalex.org/W6637373629","https://openalex.org/W6847461194"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2965546495","https://openalex.org/W1924837940","https://openalex.org/W3095572644","https://openalex.org/W2154495931","https://openalex.org/W3037515428"],"abstract_inverted_index":{"Recently,":[0],"RGB-Thermal":[1],"based":[2],"perception":[3],"has":[4],"shown":[5],"significant":[6],"advances.":[7],"Thermal":[8],"information":[9],"provides":[10],"useful":[11],"clues":[12],"when":[13],"visual":[14],"cameras":[15],"suffer":[16],"from":[17],"poor":[18],"lighting":[19],"conditions,":[20],"such":[21,47],"as":[22,48],"low":[23],"light":[24],"and":[25,34,106,117,135,137,187],"fog.":[26],"However,":[27],"how":[28],"to":[29,62,129,141,154],"effectively":[30],"fuse":[31],"RGB":[32,104],"images":[33],"thermal":[35,107],"data":[36,64,105],"remains":[37],"an":[38],"open":[39],"challenge.":[40],"Previous":[41],"works":[42],"involve":[43],"naive":[44],"fusion":[45,67,80,163],"strategies":[46,68],"merging":[49],"them":[50,121],"at":[51],"the":[52,99,113,138,161],"input,":[53],"concatenating":[54],"multi-modality":[55],"features":[56],"inside":[57],"models,":[58],"or":[59],"applying":[60],"attention":[61],"each":[63,92],"modality.":[65],"These":[66],"are":[69,152],"straightforward":[70],"yet":[71],"insufficient.":[72],"In":[73],"this":[74],"letter,":[75],"we":[76,97],"propose":[77],"a":[78,159],"novel":[79],"method":[81,164],"named":[82],"Explicit":[83],"Attention-Enhanced":[84],"Fusion":[85],"(EAEF)":[86],"that":[87],"fully":[88],"takes":[89],"advantage":[90],"of":[91,94,112,115,120,149],"type":[93],"data.":[95],"Specifically,":[96],"consider":[98],"following":[100],"cases:":[101],"i)":[102,134],"both":[103],"data,":[108,116],"ii)":[109],"only":[110],"one":[111,127],"types":[114],"iii)":[118,136],"none":[119],"generate":[122],"discriminative":[123],"features.":[124,157],"EAEF":[125],"uses":[126],"branch":[128,140],"enhance":[130],"feature":[131],"extraction":[132],"for":[133,145],"other":[139],"remedy":[142],"insufficient":[143],"representations":[144],"ii).":[146],"The":[147],"outputs":[148],"two":[150],"branches":[151],"fused":[153],"form":[155],"complementary":[156],"As":[158],"result,":[160],"proposed":[162],"outperforms":[165],"state-of-the-art":[166],"by":[167],"1.6%":[168],"in":[169,175,182,189],"mIoU":[170],"on":[171,177,184,191],"semantic":[172],"segmentation,":[173],"3.1%":[174],"MAE":[176,190],"salient":[178],"object":[179,185],"detection,":[180,186],"2.3%":[181],"mAP":[183],"8.1%":[188],"crowd":[192],"counting.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":72},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}