{"id":"https://openalex.org/W4285117466","doi":"https://doi.org/10.1109/tcsvt.2022.3188699","title":"AppFuse: An Appearance Fusion Framework for Saliency Cues","display_name":"AppFuse: An Appearance Fusion Framework for Saliency Cues","publication_year":2022,"publication_date":"2022-07-05","ids":{"openalex":"https://openalex.org/W4285117466","doi":"https://doi.org/10.1109/tcsvt.2022.3188699"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3188699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3188699","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/A5029627696","display_name":"Koteswar Rao Jerripothula","orcid":"https://orcid.org/0000-0002-3507-3731"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Koteswar Rao Jerripothula","raw_affiliation_strings":["Computer Science and Engineering Department, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-3507-3731","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035140862","display_name":"Prerana Mukherjee","orcid":"https://orcid.org/0000-0003-1804-7360"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prerana Mukherjee","raw_affiliation_strings":["School of Engineering, Jawaharlal Nehru University, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-1804-7360","affiliations":[{"raw_affiliation_string":"School of Engineering, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635804","display_name":"Jianfei Cai","orcid":"https://orcid.org/0000-0002-9444-3763"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","SG"],"is_corresponding":false,"raw_author_name":"Jianfei Cai","raw_affiliation_strings":["Department of Data Science and AI, Monash University, Clayton, VIC, Australia","School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-9444-3763","affiliations":[{"raw_affiliation_string":"Department of Data Science and AI, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023507910","display_name":"Shijian Lu","orcid":"https://orcid.org/0000-0002-6766-2506"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shijian Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6766-2506","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7324-7034"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["Computer Science and Engineering Department, State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-7324-7034","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5873,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65563178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":"12","first_page":"8261","last_page":"8274"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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":0.9930999875068665,"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":0.767776608467102},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7070322632789612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908662915229797},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6092994213104248},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.527449369430542},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5268089771270752},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.502687931060791},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.49425530433654785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46749913692474365},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43502211570739746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41867882013320923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12431615591049194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767776608467102},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7070322632789612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908662915229797},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6092994213104248},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.527449369430542},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5268089771270752},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.502687931060791},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.49425530433654785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46749913692474365},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43502211570739746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41867882013320923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12431615591049194},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3188699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3188699","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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8899999856948853}],"awards":[{"id":"https://openalex.org/G1819161153","display_name":null,"funder_award_id":"CRG/2020/006049","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"},{"id":"https://openalex.org/F4320336943","display_name":"Infosys Centre for Artificial Intelligence, Indraprastha institute of Information Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W95926497","https://openalex.org/W589665618","https://openalex.org/W1230023165","https://openalex.org/W1566135517","https://openalex.org/W1727982597","https://openalex.org/W1919709169","https://openalex.org/W1934890906","https://openalex.org/W1945443124","https://openalex.org/W1966601141","https://openalex.org/W1973054923","https://openalex.org/W1986555171","https://openalex.org/W1992992668","https://openalex.org/W1996140089","https://openalex.org/W1996904744","https://openalex.org/W2037183649","https://openalex.org/W2057463094","https://openalex.org/W2070964418","https://openalex.org/W2110158442","https://openalex.org/W2114542651","https://openalex.org/W2119300483","https://openalex.org/W2124351162","https://openalex.org/W2141834896","https://openalex.org/W2153760331","https://openalex.org/W2157244733","https://openalex.org/W2161728298","https://openalex.org/W2213486648","https://openalex.org/W2310700882","https://openalex.org/W2344809821","https://openalex.org/W2415053570","https://openalex.org/W2415731916","https://openalex.org/W2469838300","https://openalex.org/W2518666399","https://openalex.org/W2518874898","https://openalex.org/W2560092514","https://openalex.org/W2739980858","https://openalex.org/W2786297715","https://openalex.org/W2789646185","https://openalex.org/W2803610340","https://openalex.org/W2887420797","https://openalex.org/W2887503470","https://openalex.org/W2895340898","https://openalex.org/W2896011443","https://openalex.org/W2904127104","https://openalex.org/W2904945062","https://openalex.org/W2905825933","https://openalex.org/W2915763563","https://openalex.org/W2939217524","https://openalex.org/W2949562156","https://openalex.org/W2962699453","https://openalex.org/W2963408063","https://openalex.org/W2963548592","https://openalex.org/W2964283970","https://openalex.org/W2967043539","https://openalex.org/W2972640707","https://openalex.org/W2973454289","https://openalex.org/W2997169099","https://openalex.org/W2997316506","https://openalex.org/W2997788879","https://openalex.org/W3005827406","https://openalex.org/W3016340552","https://openalex.org/W3017083044","https://openalex.org/W3030079400","https://openalex.org/W3101633331","https://openalex.org/W3102207024","https://openalex.org/W3119627071","https://openalex.org/W3125520697","https://openalex.org/W3132018008","https://openalex.org/W3152635971","https://openalex.org/W3167142517","https://openalex.org/W3169226732","https://openalex.org/W3208937872","https://openalex.org/W4205623571","https://openalex.org/W4214561053","https://openalex.org/W4224330024","https://openalex.org/W4239147634","https://openalex.org/W6641730434","https://openalex.org/W6716319321","https://openalex.org/W6750214674","https://openalex.org/W6755311562","https://openalex.org/W6755350556","https://openalex.org/W6785161788","https://openalex.org/W6785816937"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W1971268144","https://openalex.org/W4390606538"],"abstract_inverted_index":{"Various":[0],"types":[1],"of":[2,7,23,175],"saliency":[3,182],"cues":[4,183],"exist,":[5],"all":[6],"which":[8,66,112],"can":[9],"be":[10],"instrumental":[11],"in":[12,34,42,97],"the":[13,35,43,56,83,98,106,123],"foreground":[14,131],"extraction.":[15],"It":[16,72],"brings":[17],"us":[18],"to":[19,46,48,69,128,160],"an":[20,74,87],"interesting":[21],"problem":[22,133],"effectively":[24],"combining":[25],"them.":[26],"Note":[27],"that":[28,154,185],"earlier":[29],"works":[30],"either":[31],"fuse":[32],"them":[33],"spatial":[36],"domain":[37,58],"or":[38],"introduce":[39],"dedicated":[40],"terms":[41],"energy":[44,88,99],"functions":[45],"cater":[47],"multiple":[49],"cues.":[50],"In":[51],"contrast,":[52],"this":[53],"paper":[54],"investigates":[55],"appearance":[57,63,80],"and":[59,117,146,168,180],"proposes":[60],"a":[61,130],"novel":[62,141],"fusion":[64,104,151],"framework,":[65],"we":[67,91,113,125,138],"refer":[68],"as":[70],"AppFuse.":[71],"is":[73],"intuitive":[75],"framework":[76,108,167],"for":[77,86],"fusing":[78],"candidate":[79],"models":[81],"into":[82],"desired":[84],"one":[85],"function.":[89],"Thus,":[90],"do":[92],"not":[93],"require":[94],"any":[95,103],"alterations":[96],"function":[100],"anymore.":[101],"Like":[102],"strategy,":[105],"proposed":[107],"also":[109],"requires":[110],"guidance,":[111],"facilitate":[114],"through":[115],"reliability":[116],"mutual":[118],"consensus":[119],"phenomena.":[120],"To":[121],"demonstrate":[122],"efficacy,":[124],"leverage":[126],"it":[127],"solve":[129],"extraction":[132],"named":[134],"video":[135],"co-localization,":[136],"where":[137],"propose":[139],"two":[140],"concepts":[142],"i)":[143],"hierarchical":[144],"co-saliency":[145],"ii)":[147],"mask-specific":[148],"proposals.":[149],"Our":[150,172],"results":[152],"ensure":[153,161],"similar":[155],"objects":[156],"get":[157],"highlighted":[158],"sufficiently":[159],"localization":[162,192],"simply":[163],"by":[164],"respecting":[165],"our":[166,186],"different":[169],"spatiotemporal":[170],"constraints.":[171],"exhaustive":[173],"set":[174],"experiments":[176],"using":[177],"both":[178],"hand-crafted":[179],"learned":[181],"reveal":[184],"approach":[187],"comfortably":[188],"outperforms":[189],"several":[190],"competing":[191],"methods":[193],"on":[194],"standard":[195],"benchmark":[196],"datasets.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
