{"id":"https://openalex.org/W3166547919","doi":"https://doi.org/10.1109/icme51207.2021.9428256","title":"Heatmap-Aware Pyramid Face Hallucination","display_name":"Heatmap-Aware Pyramid Face Hallucination","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3166547919","doi":"https://doi.org/10.1109/icme51207.2021.9428256","mag":"3166547919"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5100424697","display_name":"Chenyang Wang","orcid":"https://orcid.org/0000-0002-1156-9193"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenyang Wang","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100424697"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64026144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9790999889373779,"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/kernel","display_name":"Kernel (algebra)","score":0.7989559173583984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.755928635597229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.736421525478363},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7215165495872498},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.714994490146637},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6447837948799133},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5611156821250916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5333343148231506},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4967992603778839},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48907381296157837},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.4608919024467468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4532403349876404},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4391269385814667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39304280281066895},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2738747000694275},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2656852602958679},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.22090423107147217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18149018287658691}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7989559173583984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.755928635597229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.736421525478363},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7215165495872498},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.714994490146637},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6447837948799133},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5611156821250916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5333343148231506},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4967992603778839},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48907381296157837},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.4608919024467468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4532403349876404},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4391269385814667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39304280281066895},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2738747000694275},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2656852602958679},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.22090423107147217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18149018287658691},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1885185971","https://openalex.org/W2118963448","https://openalex.org/W2139286676","https://openalex.org/W2159269332","https://openalex.org/W2164307510","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2295477204","https://openalex.org/W2476548250","https://openalex.org/W2507235960","https://openalex.org/W2520930090","https://openalex.org/W2604439412","https://openalex.org/W2741976748","https://openalex.org/W2808455542","https://openalex.org/W2945166789","https://openalex.org/W2963583792","https://openalex.org/W2963676087","https://openalex.org/W2963870605","https://openalex.org/W2988058144","https://openalex.org/W2998224675","https://openalex.org/W3035605421","https://openalex.org/W3038685580","https://openalex.org/W3097167612","https://openalex.org/W4205467938","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6638891565","https://openalex.org/W6683487267","https://openalex.org/W6684221638","https://openalex.org/W6720887540","https://openalex.org/W6735593745","https://openalex.org/W6788757213"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W3000866861","https://openalex.org/W2738221750","https://openalex.org/W3124066309","https://openalex.org/W2732542196","https://openalex.org/W1968935646","https://openalex.org/W2079130343","https://openalex.org/W564581980","https://openalex.org/W4214561993","https://openalex.org/W3166547919"],"abstract_inverted_index":{"Recent":[0],"deep-learning-based":[1,21],"face":[2,34,45,95,110,131],"hallucination":[3],"methods":[4,22],"have":[5],"achieved":[6],"great":[7],"success.":[8],"Due":[9],"to":[10,52,83,129],"the":[11,25,32,44,53,80],"parameter":[12],"sharing":[13,77],"characteristics":[14],"of":[15,31,42,55],"convolutional":[16],"neural":[17],"network,":[18],"most":[19],"existing":[20],"essentially":[23],"use":[24],"same":[26],"kernel":[27,78],"for":[28,108,140],"different":[29,85],"regions":[30],"entire":[33],"image":[35,46],"in":[36,79],"a":[37,48,65,75,92,105],"convolution":[38,68,82,103],"layer.":[39],"This":[40],"scheme":[41],"treating":[43],"as":[47,126],"whole":[49],"will":[50],"lead":[51],"neglect":[54],"important":[56,138],"facial":[57,113,117],"details.":[58],"To":[59],"address":[60],"this":[61],"problem,":[62],"we":[63,90],"design":[64],"novel":[66],"heatmap-aware":[67,93,102],"with":[69],"spatially":[70,76,141],"variant":[71,142],"kernels":[72],"rather":[73],"than":[74],"standard":[81],"recover":[84],"regions.":[86],"Based":[87],"on":[88],"this,":[89],"propose":[91],"pyramid":[94],"super-resolution":[96,111,132],"network":[97,107],"(HaPSR)":[98],"that":[99,150],"embeds":[100],"our":[101,151],"into":[104],"two-branch":[106],"both":[109],"and":[112,145],"heatmap":[114,118],"estimation.":[115],"The":[116],"estimation":[119],"branch":[120],"can":[121],"not":[122],"only":[123],"be":[124],"used":[125],"an":[127,137],"auxiliary":[128],"regularize":[130],"reconstruction,":[133],"but":[134],"also":[135],"provide":[136],"basis":[139],"kernels.":[143],"Quantitative":[144],"qualitative":[146],"experimental":[147],"results":[148],"demonstrate":[149],"method":[152],"outperforms":[153],"state-of-the-arts.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-27T01:12:40.094763","created_date":"2025-10-10T00:00:00"}
