{"id":"https://openalex.org/W4405717803","doi":"https://doi.org/10.1109/tmm.2024.3521751","title":"Colliding Depths and Fusion: Leveraging Adaptive Feature Maps and Restorable Depth Recharge for Infrared and Visible Scene Fusion","display_name":"Colliding Depths and Fusion: Leveraging Adaptive Feature Maps and Restorable Depth Recharge for Infrared and Visible Scene Fusion","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405717803","doi":"https://doi.org/10.1109/tmm.2024.3521751"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521751","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5015924541","display_name":"Mina Han","orcid":"https://orcid.org/0000-0001-7075-9766"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mina Han","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083230660","display_name":"Kailong Yu","orcid":"https://orcid.org/0000-0002-9033-181X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailong Yu","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China","The laboratory of Pattern Recognition and Artificial Intelligence, Yunnan Normal University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"The laboratory of Pattern Recognition and Artificial Intelligence, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008404637","display_name":"Weiran Li","orcid":"https://orcid.org/0000-0002-8423-1214"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiran Li","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101187368","display_name":"Qiannan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiannan Guo","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049883225","display_name":"Zhenbo Li","orcid":"https://orcid.org/0000-0003-2914-1192"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbo Li","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China","Department of Computer Engineering, College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Department of Computer Engineering, College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015924541"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":null,"apc_paid":null,"fwci":0.2493,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56931601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"27","issue":null,"first_page":"1748","last_page":"1759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9962999820709229,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9800999760627747,"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":0.7856912612915039},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.671120822429657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5933167934417725},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5749579071998596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5224586725234985},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.494853675365448},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4724465012550354},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4520244598388672},{"id":"https://openalex.org/keywords/adaptive-optics","display_name":"Adaptive optics","score":0.4194960594177246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38186970353126526},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14425557851791382},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08188453316688538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856912612915039},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.671120822429657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5933167934417725},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5749579071998596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5224586725234985},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.494853675365448},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4724465012550354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4520244598388672},{"id":"https://openalex.org/C132771110","wikidata":"https://www.wikidata.org/wiki/Q506922","display_name":"Adaptive optics","level":2,"score":0.4194960594177246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38186970353126526},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14425557851791382},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08188453316688538},{"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/tmm.2024.3521751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521751","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2621197300","https://openalex.org/W2761780228","https://openalex.org/W2798987894","https://openalex.org/W3007891240","https://openalex.org/W3011768656","https://openalex.org/W3030921250","https://openalex.org/W3035467948","https://openalex.org/W3046194589","https://openalex.org/W3108042295","https://openalex.org/W3126855404","https://openalex.org/W3127812914","https://openalex.org/W3166023800","https://openalex.org/W3170885821","https://openalex.org/W3181367324","https://openalex.org/W3182688976","https://openalex.org/W3190808861","https://openalex.org/W3213472242","https://openalex.org/W3216678721","https://openalex.org/W4286361941","https://openalex.org/W4304080362","https://openalex.org/W4308489557","https://openalex.org/W4312594135","https://openalex.org/W4313318666","https://openalex.org/W4365798410","https://openalex.org/W4365801668","https://openalex.org/W4367721788","https://openalex.org/W4385768166","https://openalex.org/W4386076504","https://openalex.org/W4386083029","https://openalex.org/W4390873110","https://openalex.org/W4393178517","https://openalex.org/W6758823437","https://openalex.org/W6766110999","https://openalex.org/W6806513095","https://openalex.org/W6809929641","https://openalex.org/W6846884022","https://openalex.org/W6847461194","https://openalex.org/W6849934010"],"related_works":["https://openalex.org/W2044547887","https://openalex.org/W2772453863","https://openalex.org/W2080614609","https://openalex.org/W2049040703","https://openalex.org/W2076897312","https://openalex.org/W4238607825","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Both":[0],"the":[1,47,55,64,71,86,121,149,157,160,165,177,184],"fusion":[2,22,30,39,56,72,125,185,211],"expression":[3],"of":[4,12,54,67,124,151,159,180],"scene":[5],"information":[6,101,191],"from":[7,70],"multi-modal":[8,38,87,169],"images":[9],"and":[10,51,98,105,155,203],"pipeline":[11],"downstream":[13,44,207],"tasks":[14,208],"have":[15,187,196],"become":[16],"a":[17,42,76,112,168],"new":[18,77],"focus":[19,62],"in":[20,153,205],"image":[21,107],"field.":[23],"Recently,":[24],"most":[25],"studies":[26],"propose":[27,130],"multi-task":[28],"driven":[29],"methods.":[31],"However,":[32],"these":[33],"methods":[34],"employ":[35],"specific":[36],"trained":[37],"parts":[40],"for":[41,103],"certain":[43],"task,":[45],"ignoring":[46],"broader":[48],"scenario":[49],"description":[50],"application":[52],"value":[53],"task":[57],"itself.":[58],"In":[59],"order":[60],"to":[61,175,192],"on":[63,81,118,137],"visual":[65],"perception":[66],"depth":[68,89,100],"features":[69],"scenes,":[73],"we":[74,93],"design":[75,150],"method":[78,200],"(CDFGAN)":[79],"based":[80,117,136],"Scene":[82],"Fusion":[83],"(ScF),":[84],"with":[85],"geometric":[88,119],"as":[90,162,164],"background.":[91],"Concretely,":[92],"leverage":[94],"adaptive":[95],"feature":[96],"maps":[97],"recoverable":[99],"supplement":[102],"infrared":[104],"visible":[106],"fusion.":[108],"First,":[109],"by":[110,148],"devising":[111],"Successive":[113],"Generating":[114],"Network":[115,134],"(SGN)":[116],"interpolation,":[120],"structural":[122,190],"consistency":[123],"scenes":[126],"is":[127,173],"enhanced.":[128],"We":[129],"an":[131],"Adaptive":[132],"Discriminator":[133],"(ADN)":[135],"Elastic":[138],"Feature":[139],"Mapping":[140],"Module":[141],"(EFMM).":[142],"This":[143],"reduces":[144],"time":[145],"consumption":[146],"caused":[147],"modules":[152],"generator":[154],"improves":[156],"effectiveness":[158],"discriminator":[161],"well":[163],"generator.":[166],"Furthermore,":[167],"Poisson":[170],"loss":[171],"function":[172],"proposed":[174],"align":[176],"pixel":[178],"distribution":[179],"different":[181],"modals,":[182],"ensuring":[183],"results":[186],"more":[188],"similar":[189],"inputs.":[193],"Extensive":[194],"experiments":[195],"validated":[197],"that":[198],"our":[199],"has":[201],"advantages":[202],"applicability":[204],"multiple":[206],"while":[209],"improving":[210],"performance.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
