{"id":"https://openalex.org/W2956776104","doi":"https://doi.org/10.1109/fg.2019.8756542","title":"Segmentation Guided Image-to-Image Translation with Adversarial Networks","display_name":"Segmentation Guided Image-to-Image Translation with Adversarial Networks","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2956776104","doi":"https://doi.org/10.1109/fg.2019.8756542","mag":"2956776104"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2019.8756542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2019.8756542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)","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/A5055479345","display_name":"Songyao Jiang","orcid":"https://orcid.org/0000-0001-6289-6509"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songyao Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021486404","display_name":"Zhiqiang Tao","orcid":"https://orcid.org/0000-0002-5639-7540"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["College of Computer and Information Science, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":1.5555,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.89447583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9815000295639038,"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":0.8208223581314087},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.7483724355697632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7129183411598206},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6758285164833069},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6498759984970093},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.608253002166748},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5549234747886658},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5426775217056274},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5405835509300232},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4911443889141083},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.473904013633728},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4577223062515259},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.44923076033592224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4391647279262543},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.43162092566490173},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4114249050617218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0669521689414978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8208223581314087},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.7483724355697632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7129183411598206},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6758285164833069},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6498759984970093},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.608253002166748},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5549234747886658},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5426775217056274},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5405835509300232},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4911443889141083},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.473904013633728},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4577223062515259},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.44923076033592224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4391647279262543},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.43162092566490173},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4114249050617218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0669521689414978},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg.2019.8756542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2019.8756542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2099471712","https://openalex.org/W2115252128","https://openalex.org/W2125389028","https://openalex.org/W2173520492","https://openalex.org/W2331128040","https://openalex.org/W2434741482","https://openalex.org/W2521028896","https://openalex.org/W2548275288","https://openalex.org/W2554423077","https://openalex.org/W2593414223","https://openalex.org/W2596763562","https://openalex.org/W2605195953","https://openalex.org/W2625219738","https://openalex.org/W2739748921","https://openalex.org/W2741989495","https://openalex.org/W2744091666","https://openalex.org/W2805080735","https://openalex.org/W2900585237","https://openalex.org/W2906715444","https://openalex.org/W2950776302","https://openalex.org/W2951649776","https://openalex.org/W2951939904","https://openalex.org/W2962760235","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2962914604","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963125871","https://openalex.org/W2963226019","https://openalex.org/W2963444790","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2963800363","https://openalex.org/W2964218010","https://openalex.org/W4294643831","https://openalex.org/W4295274059","https://openalex.org/W4295521014","https://openalex.org/W4297772798","https://openalex.org/W4320013936","https://openalex.org/W6677618333","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6691096134","https://openalex.org/W6718140377","https://openalex.org/W6727501944","https://openalex.org/W6729482032","https://openalex.org/W6729856380","https://openalex.org/W6734074887","https://openalex.org/W6735204497","https://openalex.org/W6735913928","https://openalex.org/W6736155344","https://openalex.org/W6741832134","https://openalex.org/W6745560452","https://openalex.org/W6745718552"],"related_works":["https://openalex.org/W2036697162","https://openalex.org/W2561315646","https://openalex.org/W2332386680","https://openalex.org/W2248621902","https://openalex.org/W2003779889","https://openalex.org/W4205698120","https://openalex.org/W4239246781","https://openalex.org/W2542825942","https://openalex.org/W2905311601","https://openalex.org/W3178813832"],"abstract_inverted_index":{"Recently":[0],"image-to-image":[1],"translation":[2,124],"has":[3],"received":[4],"increasing":[5],"attention,":[6],"which":[7,89],"aims":[8],"to":[9,15,43,49,55,93,110],"map":[10],"images":[11,62],"in":[12,137],"one":[13],"domain":[14],"another":[16],"specific":[17],"one.":[18],"Existing":[19,66],"methods":[20,41,67],"mainly":[21],"solve":[22],"this":[23],"task":[24,125],"via":[25],"a":[26,56,81,105],"deep":[27],"generative":[28],"model,":[29],"and":[30,46,99,134],"focus":[31],"on":[32,114,120],"exploring":[33],"the":[34,51,96,115,131],"relationship":[35],"between":[36],"different":[37],"domains.":[38],"However,":[39],"these":[40,77],"neglect":[42],"utilize":[44],"higher-level":[45],"instance-specific":[47],"information":[48,113],"guide":[50],"training":[52],"process,":[53],"leading":[54],"great":[57],"deal":[58],"of":[59,63,70,130],"unrealistic":[60],"generated":[61,116],"low":[64],"quality.":[65],"also":[68],"lack":[69],"spatial":[71,101,132],"controllability":[72],"during":[73],"translation.":[74],"To":[75],"address":[76],"challenge,":[78],"we":[79],"propose":[80],"novel":[82],"Segmentation":[83],"Guided":[84],"Generative":[85],"Adversarial":[86],"Networks":[87],"(SGGAN),":[88],"leverages":[90],"semantic":[91,112],"segmentation":[92],"further":[94],"boost":[95],"generation":[97],"performance":[98],"provide":[100],"mapping.":[102],"In":[103],"particular,":[104],"segmentor":[106],"network":[107],"is":[108],"designed":[109],"impose":[111],"images.":[117],"Experimental":[118],"results":[119],"multi-domain":[121],"face":[122],"image":[123,138],"empirically":[126],"demonstrate":[127],"our":[128,135],"ability":[129],"modification":[133],"superiority":[136],"quality":[139],"over":[140],"several":[141],"state-of-the-art":[142],"methods.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}