{"id":"https://openalex.org/W2100553728","doi":"https://doi.org/10.1109/icip.2008.4711792","title":"Hallucinating faces from thermal infrared images","display_name":"Hallucinating faces from thermal infrared images","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2100553728","doi":"https://doi.org/10.1109/icip.2008.4711792","mag":"2100553728"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Department of Computer Science, Queen Mary College-University of London","Dept. of Comput. Sci., Univ. of London, London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Queen Mary College-University of London","institution_ids":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of London, London","institution_ids":["https://openalex.org/I124357947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030334423","display_name":"Pengwei Hao","orcid":"https://orcid.org/0000-0002-3236-6440"},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pengwei Hao","raw_affiliation_strings":["Department of Computer Science, Queen Mary College-University of London","Dept. of Comput. Sci., Univ. of London, London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Queen Mary College-University of London","institution_ids":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of London, London","institution_ids":["https://openalex.org/I124357947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460149","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-1563-8993"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Center for Information Science, Peking University","Center for Inf. Sci., Peking Univ., Peking"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information Science, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Center for Inf. Sci., Peking Univ., Peking","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056997314","display_name":"Mingsong Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsong Dou","raw_affiliation_strings":["Center for Information Science, Peking University","Center for Inf. Sci., Peking Univ., Peking"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information Science, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Center for Inf. Sci., Peking Univ., Peking","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"465","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.994700014591217,"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":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.8789610266685486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105543613433838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851680278778076},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6578662395477295},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6497800350189209},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5375629663467407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5138142704963684},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.479069322347641},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4589236378669739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4318237900733948},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.4265499711036682},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3475492596626282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20966368913650513},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.10884228348731995}],"concepts":[{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.8789610266685486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105543613433838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851680278778076},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6578662395477295},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6497800350189209},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5375629663467407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5138142704963684},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.479069322347641},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4589236378669739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4318237900733948},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.4265499711036682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3475492596626282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20966368913650513},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.10884228348731995},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2008.4711792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.159.2047","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.2047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcs.qmul.ac.uk/~phao/Papers/ICIP08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1550054889","https://openalex.org/W1716472437","https://openalex.org/W2025341678","https://openalex.org/W2070320140","https://openalex.org/W2097074225","https://openalex.org/W2118963448","https://openalex.org/W2129271544","https://openalex.org/W2133533182","https://openalex.org/W2138451337","https://openalex.org/W2146914716","https://openalex.org/W2149481809","https://openalex.org/W2149760002","https://openalex.org/W2162841655","https://openalex.org/W2168239064","https://openalex.org/W2171982656","https://openalex.org/W4237723258","https://openalex.org/W4285719527","https://openalex.org/W6633221178","https://openalex.org/W6677548907"],"related_works":["https://openalex.org/W3204676188","https://openalex.org/W2992803471","https://openalex.org/W2066036438","https://openalex.org/W2078454190","https://openalex.org/W2963350370","https://openalex.org/W2930227984","https://openalex.org/W2108123836","https://openalex.org/W2063248114","https://openalex.org/W2528648655","https://openalex.org/W2384651879"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,22,42,46,51,57,63,69,79,91,97,103,109,115],"face":[4,11,44,100],"hallucination":[5,104],"problem":[6],"of":[7,26,78,111],"converting":[8],"thermal":[9],"infrared":[10,47],"images":[12],"into":[13],"photo-realistic":[14],"ones.":[15],"It":[16],"is":[17],"a":[18,38,76],"challenging":[19],"task":[20],"because":[21],"two":[23],"modalities":[24],"are":[25],"dramatical":[27],"difference,":[28],"which":[29],"makes":[30],"many":[31],"developed":[32,75],"linear":[33],"models":[34],"inapplicable.":[35],"We":[36,72],"propose":[37],"learning-based":[39],"framework":[40],"synthesizing":[41],"normal":[43,99],"from":[45],"input.":[48],"Compared":[49],"to":[50,96,101,124],"previous":[52],"work,":[53],"we":[54,88],"further":[55],"exploit":[56],"local":[58],"linearity":[59],"in":[60],"not":[61],"only":[62],"image":[64,70,128],"spatial":[65],"domain":[66],"but":[67],"also":[68,74],"manifolds.":[71],"have":[73],"measurement":[77],"variance":[80],"between":[81],"an":[82],"input":[83],"and":[84],"its":[85],"prediction,":[86],"thus":[87],"can":[89,120],"apply":[90],"Markov":[92],"random":[93],"field":[94],"model":[95],"predicted":[98],"improve":[102],"result.":[105],"Experimental":[106],"results":[107],"show":[108],"advantage":[110],"our":[112],"algorithm":[113,119],"over":[114],"existing":[116],"methods.":[117],"Our":[118],"be":[121],"readily":[122],"generalized":[123],"solve":[125],"other":[126],"multi-modal":[127],"conversion":[129],"problems":[130],"as":[131],"well.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
