{"id":"https://openalex.org/W4386590348","doi":"https://doi.org/10.1109/icip49359.2023.10222066","title":"Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation","display_name":"Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386590348","doi":"https://doi.org/10.1109/icip49359.2023.10222066"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5101632899","display_name":"Anjie Wang","orcid":"https://orcid.org/0000-0002-9486-1009"},"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"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjie Wang","raw_affiliation_strings":["Peking University,School of Electronic and Computer Engineering","Peng Cheng Laboratory","School of Electronic and Computer Engineering, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055905608","display_name":"Zhijun Fang","orcid":"https://orcid.org/0000-0001-8563-5678"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Fang","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology","School of Computer Science and Technology, Donghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044241893","display_name":"Xiaoyan Jiang","orcid":"https://orcid.org/0000-0002-1946-576X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Jiang","raw_affiliation_strings":["Shanghai University of Engineering Science,School of Electronic and Electrical Engineering","School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Engineering Science,School of Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071398995","display_name":"Yongbin Gao","orcid":"https://orcid.org/0000-0001-9930-0502"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbin Gao","raw_affiliation_strings":["Shanghai University of Engineering Science,School of Electronic and Electrical Engineering","School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Engineering Science,School of Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075534034","display_name":"Gaofeng Cao","orcid":"https://orcid.org/0000-0002-1556-7187"},"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"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofeng Cao","raw_affiliation_strings":["Peking University,School of Electronic and Computer Engineering","Peng Cheng Laboratory","School of Electronic and Computer Engineering, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic and Computer Engineering","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"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"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Peking University,School of Computer Science","Peng Cheng Laboratory","School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2428,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57056106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2795","last_page":"2799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7994554042816162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093359589576721},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6056885719299316},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5923276543617249},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5798890590667725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5773829817771912},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5363902449607849},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5236266255378723},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48990553617477417},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4827806055545807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4478439688682556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4317753314971924},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41042742133140564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35505151748657227},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08840516209602356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994554042816162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093359589576721},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6056885719299316},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5923276543617249},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5798890590667725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5773829817771912},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5363902449607849},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5236266255378723},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48990553617477417},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4827806055545807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4478439688682556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4317753314971924},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41042742133140564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35505151748657227},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08840516209602356},{"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1803059841","https://openalex.org/W1901129140","https://openalex.org/W1905829557","https://openalex.org/W2520707372","https://openalex.org/W2560023338","https://openalex.org/W2609883120","https://openalex.org/W2619697695","https://openalex.org/W2949830259","https://openalex.org/W2951234442","https://openalex.org/W2963115079","https://openalex.org/W2963911235","https://openalex.org/W2964199361","https://openalex.org/W2982624843","https://openalex.org/W3003669105","https://openalex.org/W3049847664","https://openalex.org/W3089944088","https://openalex.org/W3108655859","https://openalex.org/W3109908659","https://openalex.org/W3162552392","https://openalex.org/W3174856432","https://openalex.org/W3202422321","https://openalex.org/W3204559841","https://openalex.org/W4225284455","https://openalex.org/W4285061034","https://openalex.org/W4293665662","https://openalex.org/W6685261749","https://openalex.org/W6725104640","https://openalex.org/W6729831399","https://openalex.org/W6779688782"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758"],"abstract_inverted_index":{"As":[0],"multimodal":[1,8],"information":[2,9,59,66],"is":[3,76,96,111],"complementary,":[4],"effectively":[5],"utilizing":[6],"scene":[7,41],"has":[10],"become":[11],"an":[12],"increasingly":[13],"important":[14],"research":[15],"topic":[16],"for":[17,98],"many":[18],"scholars.":[19],"This":[20],"paper":[21],"proposes":[22],"a":[23,47,70,92],"novel":[24],"multi-scale":[25,48,72,93],"global":[26,65],"learning":[27],"strategy":[28],"that":[29],"utilizes":[30],"both":[31],"echo":[32,102],"and":[33,63,82,103],"visual":[34,104],"modal":[35],"data":[36],"as":[37],"inputs":[38],"to":[39,56,78],"estimate":[40],"depth.":[42],"The":[43,106],"framework":[44],"involves":[45],"constructing":[46],"feature":[49,73],"extraction":[50],"method":[51,95],"using":[52],"pyramid":[53],"pooling":[54],"modules":[55],"aggregate":[57],"contextual":[58],"from":[60],"different":[61],"regions":[62],"improve":[64],"acquisition":[67],"ability.":[68],"Furthermore,":[69],"recurrent":[71],"modulation":[74],"module":[75],"introduced":[77],"generate":[79],"more":[80],"semantic":[81],"accurate":[83],"spatial":[84],"representations":[85],"in":[86],"each":[87],"iteration":[88],"update":[89],"process.":[90],"Additionally,":[91],"fusion":[94,100],"constructed":[97],"the":[99,118],"of":[101],"modalities.":[105],"proposed":[107],"method's":[108],"superior":[109],"performance":[110],"demonstrated":[112],"through":[113],"sufficient":[114],"experiments":[115],"conducted":[116],"on":[117],"Replica":[119],"dataset.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
