{"id":"https://openalex.org/W4381786155","doi":"https://doi.org/10.1109/tcsvt.2023.3288370","title":"Learning Semantic Alignment Using Global Features and Multi-Scale Confidence","display_name":"Learning Semantic Alignment Using Global Features and Multi-Scale Confidence","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4381786155","doi":"https://doi.org/10.1109/tcsvt.2023.3288370"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3288370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3288370","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/A5070348315","display_name":"Huaiyuan Xu","orcid":"https://orcid.org/0000-0003-2017-5484"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Huaiyuan Xu","raw_affiliation_strings":["Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013972536","display_name":"Jing Liao","orcid":"https://orcid.org/0000-0001-7014-5377"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Liao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Institute for Artificial Intelligence, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Institute for Artificial Intelligence, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039935452","display_name":"Yuxiang Sun","orcid":"https://orcid.org/0000-0002-7704-0559"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuxiang Sun","raw_affiliation_strings":["Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070348315"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.4745,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63804329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"34","issue":"2","first_page":"897","last_page":"910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980000257492065,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980000257492065,"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":0.9933000206947327,"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":0.9851999878883362,"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":0.8128326535224915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.677181601524353},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5160002708435059},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5090646147727966},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.4736056327819824},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.46952953934669495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46298399567604065},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4488784968852997},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.446972519159317},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4104654788970947},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3875434398651123},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13155972957611084},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.12764567136764526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128326535224915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677181601524353},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5160002708435059},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5090646147727966},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.4736056327819824},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.46952953934669495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46298399567604065},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4488784968852997},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.446972519159317},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4104654788970947},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3875434398651123},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13155972957611084},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.12764567136764526},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3288370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3288370","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/G8043710045","display_name":null,"funder_award_id":"62003286","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1763426478","https://openalex.org/W2013640163","https://openalex.org/W2031489346","https://openalex.org/W2115733720","https://openalex.org/W2117539524","https://openalex.org/W2125849446","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2464606141","https://openalex.org/W2474531669","https://openalex.org/W2604233003","https://openalex.org/W2604881841","https://openalex.org/W2611605760","https://openalex.org/W2809852002","https://openalex.org/W2885650013","https://openalex.org/W2919046835","https://openalex.org/W2947841945","https://openalex.org/W2962837952","https://openalex.org/W2963827464","https://openalex.org/W2969810168","https://openalex.org/W2970350341","https://openalex.org/W2982121679","https://openalex.org/W2985822417","https://openalex.org/W3034218667","https://openalex.org/W3034723751","https://openalex.org/W3035242260","https://openalex.org/W3035578028","https://openalex.org/W3096609285","https://openalex.org/W3106982106","https://openalex.org/W3164763551","https://openalex.org/W3170841864","https://openalex.org/W3174012569","https://openalex.org/W3181461461","https://openalex.org/W3188199900","https://openalex.org/W3189866436","https://openalex.org/W3215923428","https://openalex.org/W4205367143","https://openalex.org/W4205425515","https://openalex.org/W4206239741","https://openalex.org/W4285186657","https://openalex.org/W4312377253","https://openalex.org/W4312779691","https://openalex.org/W4312862260","https://openalex.org/W4312996722","https://openalex.org/W6680171035","https://openalex.org/W6739901393","https://openalex.org/W6754984195","https://openalex.org/W6755207826","https://openalex.org/W6764386301","https://openalex.org/W6767840039","https://openalex.org/W6803470121"],"related_works":["https://openalex.org/W2026635458","https://openalex.org/W3012445987","https://openalex.org/W2018066836","https://openalex.org/W2038882528","https://openalex.org/W2277021700","https://openalex.org/W4246972993","https://openalex.org/W3152143533","https://openalex.org/W2991851652","https://openalex.org/W2890241594","https://openalex.org/W2746053968"],"abstract_inverted_index":{"Semantic":[0],"alignment":[1,147,166],"aims":[2],"to":[3,44,71,137],"establish":[4],"pixel":[5],"correspondences":[6],"between":[7],"images":[8],"based":[9,125],"on":[10,126,161],"semantic":[11,46,111,142,146,150,165,177],"consistency.":[12],"It":[13],"can":[14],"serve":[15],"as":[16,27,58],"a":[17,83,116],"fundamental":[18],"component":[19],"for":[20,109,120],"various":[21],"downstream":[22],"computer":[23],"vision":[24],"tasks,":[25],"such":[26,57],"style":[28],"transfer":[29],"and":[30,40,97,148,168],"exemplar-based":[31],"colorization,":[32],"etc.":[33,61],"Many":[34],"existing":[35],"methods":[36],"use":[37,132],"local":[38],"features":[39,112],"their":[41],"cosine":[42],"similarities":[43],"infer":[45],"alignment.":[47,151,178],"However,":[48],"they":[49],"struggle":[50],"with":[51,66,113],"significant":[52],"intra-class":[53],"variation":[54],"of":[55,88,141,172],"objects,":[56],"appearance,":[59],"size,":[60],"In":[62],"other":[63],"words,":[64],"contents":[65],"the":[67,90,127,133,170,173],"same":[68],"semantics":[69],"tend":[70],"be":[72],"significantly":[73],"different":[74],"in":[75,93,175],"vision.":[76],"To":[77],"address":[78],"this":[79],"issue,":[80],"we":[81],"propose":[82],"novel":[84],"deep":[85],"neural":[86],"network":[87,135],"which":[89],"core":[91],"lies":[92],"global":[94,114],"feature":[95],"enhancement":[96,107],"adaptive":[98],"multi-scale":[99,123],"inference.":[100],"Specifically,":[101],"two":[102,139],"modules":[103],"are":[104],"proposed:":[105],"an":[106],"transformer":[108],"enhancing":[110],"awareness;":[115],"probabilistic":[117],"correlation":[118],"module":[119],"adaptively":[121],"fusing":[122],"information":[124],"learned":[128],"confidence":[129],"scores.":[130],"We":[131],"unified":[134],"architecture":[136],"achieve":[138],"types":[140],"alignment,":[143],"namely,":[144],"cross-object":[145,164],"cross-domain":[149,176],"Experimental":[152],"results":[153],"demonstrate":[154],"that":[155],"our":[156],"method":[157],"achieves":[158],"competitive":[159],"performance":[160],"five":[162],"standard":[163],"benchmarks,":[167],"outperforms":[169],"state":[171],"arts":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
