{"id":"https://openalex.org/W4225326202","doi":"https://doi.org/10.1109/icassp43922.2022.9747119","title":"Histogram-Guided Semantic-Aware Colorization","display_name":"Histogram-Guided Semantic-Aware Colorization","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225326202","doi":"https://doi.org/10.1109/icassp43922.2022.9747119"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747119","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100436740","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-4230-1077"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Hunan University,Changsha,Hunan Province,China","Hunan University, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,Hunan Province,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730000","display_name":"Yi Xiao","orcid":"https://orcid.org/0000-0002-4018-994X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xiao","raw_affiliation_strings":["Hunan University,Changsha,Hunan Province,China","Hunan University, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,Hunan Province,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445733","display_name":"Guo Chen","orcid":"https://orcid.org/0000-0002-5622-5458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Chen","raw_affiliation_strings":["Hunan University,Changsha,Hunan Province,China","Hunan University, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,Hunan Province,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647532","display_name":"Sun Q","orcid":"https://orcid.org/0000-0003-3998-5356"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingping Sun","raw_affiliation_strings":["Hunan University,Changsha,Hunan Province,China","Hunan University, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,Hunan Province,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057072312","display_name":"Fangqiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangqiang Xu","raw_affiliation_strings":["Hunan University,Changsha,Hunan Province,China","Hunan University, Changsha, Hunan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,Hunan Province,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Hunan University, Changsha, Hunan Province, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056482307","display_name":"Chi-Sing Leung","orcid":"https://orcid.org/0000-0003-0962-6723"},"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":"Chi-Sing Leung","raw_affiliation_strings":["City University of Hong Kong,Kowloon,Hong Kong SAR","City University of Hong Kong, Kowloon, Hong Kong SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Kowloon,Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2549","last_page":"2553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9944999814033508,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9944999814033508,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9918000102043152,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9864000082015991,"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/histogram","display_name":"Histogram","score":0.7578911781311035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481901049613953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7324473857879639},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.6424520015716553},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.5481383204460144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5255369544029236},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5170074701309204},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.515235960483551},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.5048413872718811},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4703006446361542},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.417672723531723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3118738830089569},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2999928295612335},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15836644172668457}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7578911781311035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481901049613953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7324473857879639},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.6424520015716553},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.5481383204460144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5255369544029236},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5170074701309204},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.515235960483551},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5048413872718811},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4703006446361542},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.417672723531723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3118738830089569},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2999928295612335},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15836644172668457},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747119","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":37,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1972779480","https://openalex.org/W1986416281","https://openalex.org/W2007607024","https://openalex.org/W2049499450","https://openalex.org/W2117539524","https://openalex.org/W2120963736","https://openalex.org/W2136154655","https://openalex.org/W2308529009","https://openalex.org/W2326925005","https://openalex.org/W2461158874","https://openalex.org/W2502312327","https://openalex.org/W2519340935","https://openalex.org/W2612063021","https://openalex.org/W2809852002","https://openalex.org/W2885673693","https://openalex.org/W2931764303","https://openalex.org/W2963904861","https://openalex.org/W2979841973","https://openalex.org/W3000407986","https://openalex.org/W3034838697","https://openalex.org/W3083502392","https://openalex.org/W3093418165","https://openalex.org/W3160544877","https://openalex.org/W3174868683","https://openalex.org/W4235795445","https://openalex.org/W4247941455","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6677913696","https://openalex.org/W6698507324","https://openalex.org/W6701655646","https://openalex.org/W6724804524","https://openalex.org/W6739901393","https://openalex.org/W6783056651"],"related_works":["https://openalex.org/W1597132678","https://openalex.org/W2354812287","https://openalex.org/W2362000920","https://openalex.org/W2170563037","https://openalex.org/W2374879862","https://openalex.org/W2133206511","https://openalex.org/W2013068102","https://openalex.org/W225284505","https://openalex.org/W2396115542","https://openalex.org/W4231893945"],"abstract_inverted_index":{"User-guided":[0],"colorization":[1,59,104],"can":[2,116],"predict":[3],"the":[4,27,37,45,64,84,87,98,108,119,122],"colors":[5,39,68],"of":[6,47,86],"a":[7,55,78,93,103],"grayscale":[8],"image":[9],"according":[10],"to":[11,30,35,44,82,96,106],"user":[12,129],"inputs,":[13],"including":[14],"exemplar":[15],"images,":[16],"local":[17,70],"inputs":[18],"and":[19,69,76,128,145],"global":[20,67,138],"inputs.":[21],"Global":[22],"inputs-based":[23],"methods":[24,141],"are":[25,33],"probably":[26],"easiest":[28],"ones":[29],"use,":[31],"but":[32],"hard":[34],"distribute":[36],"input":[38,123],"into":[40],"correct":[41],"regions,":[42],"due":[43],"lack":[46],"color-semantic":[48,99],"correspondences.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"novel":[56],"histogram-guided":[57],"semantic-aware":[58,94],"method,":[60],"which":[61],"explicitly":[62],"builds":[63],"correspondences":[65],"between":[66],"features":[71],"with":[72,92,121],"an":[73],"attention":[74],"mechanism":[75],"uses":[77],"differentiable":[79],"histogram":[80,85],"loss":[81],"impose":[83],"results.":[88],"Our":[89],"method":[90,115,135],"starts":[91],"subnetwork":[95,105],"build":[97],"correspondences,":[100],"followed":[101],"by":[102],"reconstruct":[107],"color":[109,143],"channels.":[110],"Experiments":[111],"demonstrate":[112],"that":[113,133],"our":[114,134],"effectively":[117],"control":[118],"results":[120],"histogram.":[124],"Extensive":[125],"visual,":[126],"numerical":[127],"study":[130],"comparisons":[131],"show":[132],"outperforms":[136],"other":[137],"input-based":[139],"state-of-the-art":[140],"in":[142],"naturalness":[144],"consistency.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
