{"id":"https://openalex.org/W3151956566","doi":"https://doi.org/10.1109/tcsvt.2021.3069812","title":"Multi-Graph Fusion and Learning for RGBT Image Saliency Detection","display_name":"Multi-Graph Fusion and Learning for RGBT Image Saliency Detection","publication_year":2021,"publication_date":"2021-03-30","ids":{"openalex":"https://openalex.org/W3151956566","doi":"https://doi.org/10.1109/tcsvt.2021.3069812","mag":"3151956566"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3069812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3069812","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5057293640","display_name":"Liming Huang","orcid":"https://orcid.org/0000-0003-4992-387X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Huang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4992-387X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010927997","display_name":"Kechen Song","orcid":"https://orcid.org/0000-0002-7636-3460"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kechen Song","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7636-3460","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440115","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-7266-8179"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7266-8179","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079813739","display_name":"Menghui Niu","orcid":"https://orcid.org/0000-0002-7850-815X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghui Niu","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7850-815X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043667109","display_name":"Yunhui Yan","orcid":"https://orcid.org/0000-0001-7121-2367"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhui Yan","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-7121-2367","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":5.9891,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.97551938,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"32","issue":"3","first_page":"1366","last_page":"1377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9872999787330627,"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":0.7737470269203186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7311352491378784},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6348223686218262},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5765578150749207},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.561320960521698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41047102212905884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38109785318374634}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7737470269203186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311352491378784},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6348223686218262},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5765578150749207},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.561320960521698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41047102212905884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38109785318374634},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3069812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3069812","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6235082000","display_name":null,"funder_award_id":"51805078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8229811508","display_name":null,"funder_award_id":"2017YFB0304200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1772076007","https://openalex.org/W1903029394","https://openalex.org/W1994922096","https://openalex.org/W2039313011","https://openalex.org/W2100470808","https://openalex.org/W2118246710","https://openalex.org/W2160613239","https://openalex.org/W2296131993","https://openalex.org/W2346506533","https://openalex.org/W2588600710","https://openalex.org/W2615981376","https://openalex.org/W2752803734","https://openalex.org/W2762270259","https://openalex.org/W2766439555","https://openalex.org/W2769197712","https://openalex.org/W2794731943","https://openalex.org/W2796152967","https://openalex.org/W2807746031","https://openalex.org/W2807798246","https://openalex.org/W2884555738","https://openalex.org/W2887486131","https://openalex.org/W2919059038","https://openalex.org/W2924212574","https://openalex.org/W2939217524","https://openalex.org/W2942049721","https://openalex.org/W2942755646","https://openalex.org/W2945809413","https://openalex.org/W2963134949","https://openalex.org/W2963572583","https://openalex.org/W2963706010","https://openalex.org/W2963868681","https://openalex.org/W2968392770","https://openalex.org/W2985335644","https://openalex.org/W2990984982","https://openalex.org/W2995936506","https://openalex.org/W3014165597","https://openalex.org/W3023991476","https://openalex.org/W3037921770","https://openalex.org/W3047800102","https://openalex.org/W3083388823","https://openalex.org/W3098389804","https://openalex.org/W4308291551","https://openalex.org/W6777900502","https://openalex.org/W6780499500"],"related_works":["https://openalex.org/W2168109476","https://openalex.org/W2486460843","https://openalex.org/W2020254986","https://openalex.org/W1992540108","https://openalex.org/W2074225891","https://openalex.org/W1968121071","https://openalex.org/W2760769977","https://openalex.org/W2899662943","https://openalex.org/W2076258779","https://openalex.org/W4210797666"],"abstract_inverted_index":{"RGB":[0,23,88],"and":[1,25,46,85,90,133],"thermal":[2],"infrared":[3],"(RGBT)":[4],"image":[5,50],"saliency":[6,44,78,141],"detection":[7,31,79],"is":[8,110,154],"a":[9,37,106],"relatively":[10],"new":[11],"direction":[12],"in":[13,129],"the":[14,20,47,54,123,130,151,158],"field":[15],"of":[16,22,49,125,140],"computer":[17],"vision.":[18],"Combining":[19],"advantages":[21],"images":[24,27,89,92],"T":[26,91],"can":[28],"significantly":[29],"improve":[30],"performance.":[32],"Currently,":[33],"there":[34],"are":[35,93],"only":[36],"few":[38],"methods":[39],"to":[40,64,100,112],"work":[41],"on":[42,82,97,145],"RGBT":[43,77,147],"detection,":[45],"number":[48],"samples":[51],"cannot":[52],"meet":[53],"training":[55],"requirements":[56],"for":[57,137],"deep":[58],"learning,":[59],"so":[60],"it":[61],"remains":[62],"valuable":[63],"propose":[65,134],"an":[66,75],"effective":[67,155],"unsupervised":[68,76],"method.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,121],"present":[74],"method":[80,153],"based":[81,96],"multi-graph":[83,107],"fusion":[84,108],"learning.":[86],"Firstly,":[87],"adaptively":[94],"fused":[95],"boundary":[98],"information":[99,116],"produce":[101],"more":[102],"accurate":[103],"superpixels.":[104],"Next,":[105],"model":[109],"proposed":[111,152],"selectively":[113],"learn":[114],"useful":[115],"from":[117],"multi-modal":[118],"images.":[119],"Finally,":[120],"implement":[122],"theory":[124],"finding":[126],"good":[127],"neighbors":[128],"graph":[131],"affinity":[132],"different":[135],"algorithms":[136],"two":[138],"stages":[139],"ranking.":[142],"Experimental":[143],"results":[144],"three":[146],"datasets":[148],"show":[149],"that":[150],"compared":[156],"with":[157],"state-of-the-art":[159],"algorithms.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
