{"id":"https://openalex.org/W4392450166","doi":"https://doi.org/10.1109/tce.2024.3373178","title":"Weakly Supervised Joint Transfer and Regression of Textures for 3-D Human Reconstruction","display_name":"Weakly Supervised Joint Transfer and Regression of Textures for 3-D Human Reconstruction","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4392450166","doi":"https://doi.org/10.1109/tce.2024.3373178"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3373178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3373178","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5100329780","display_name":"Fang Zhao","orcid":"https://orcid.org/0000-0002-6772-8042"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Zhao","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6772-8042","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019092879","display_name":"Shengcai Liao","orcid":"https://orcid.org/0000-0001-8941-2295"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["AE","CN"],"is_corresponding":false,"raw_author_name":"Shengcai Liao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, G42, UAE","with the School of Computer Science and Technology, Beihang University, Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, China"],"raw_orcid":"https://orcid.org/0000-0001-8941-2295","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, G42, UAE","institution_ids":["https://openalex.org/I4210116052"]},{"raw_affiliation_string":"with the School of Computer Science and Technology, Beihang University, Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057906685","display_name":"Jiantong Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantong Huo","raw_affiliation_strings":["School of Computer Science and Technology, Beihang University, Beijing, China","with the School of Computer Science and Technology, Beihang University, Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"with the School of Computer Science and Technology, Beihang University, Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023297176","display_name":"Zhisheng Huo","orcid":"https://orcid.org/0000-0002-5366-0892"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Huo","raw_affiliation_strings":["High Performance Computing Center, College of Software, Beihang University, Beijing, China","College of Software, High Performance Computing Center, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5366-0892","affiliations":[{"raw_affiliation_string":"High Performance Computing Center, College of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"College of Software, High Performance Computing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076045068","display_name":"W. Wang","orcid":"https://orcid.org/0000-0001-8727-1572"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Wang","raw_affiliation_strings":["School of Mathematical Sciences, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8727-1572","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Department of Computer Science, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4361-956X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055478558","display_name":"Caifeng Shan","orcid":"https://orcid.org/0000-0002-2131-1671"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caifeng Shan","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University, Nanjing, China","College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2131-1671","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100329780"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5946167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"70","issue":"1","first_page":"4400","last_page":"4410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7912851572036743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719785213470459},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6736719608306885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6115342378616333},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5679813027381897},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5627754330635071},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5569206476211548},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.5338189601898193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5324386358261108},{"id":"https://openalex.org/keywords/texture-atlas","display_name":"Texture atlas","score":0.49572861194610596},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4774673283100128},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.447135865688324},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.34415388107299805},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28363877534866333}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7912851572036743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719785213470459},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6736719608306885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6115342378616333},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5679813027381897},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5627754330635071},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5569206476211548},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.5338189601898193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5324386358261108},{"id":"https://openalex.org/C207183524","wikidata":"https://www.wikidata.org/wiki/Q7708528","display_name":"Texture atlas","level":5,"score":0.49572861194610596},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4774673283100128},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.447135865688324},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.34415388107299805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28363877534866333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3373178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3373178","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W183071939","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1945811542","https://openalex.org/W1967554269","https://openalex.org/W1982925187","https://openalex.org/W2036196300","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2302255633","https://openalex.org/W2397830550","https://openalex.org/W2431874326","https://openalex.org/W2573098616","https://openalex.org/W2576289912","https://openalex.org/W2583147637","https://openalex.org/W2584637367","https://openalex.org/W2598634450","https://openalex.org/W2608461606","https://openalex.org/W2618530766","https://openalex.org/W2780351918","https://openalex.org/W2799107345","https://openalex.org/W2808174311","https://openalex.org/W2884066303","https://openalex.org/W2953684117","https://openalex.org/W2962785568","https://openalex.org/W2962921964","https://openalex.org/W2963047834","https://openalex.org/W2963073614","https://openalex.org/W2963850211","https://openalex.org/W2963901085","https://openalex.org/W2963920537","https://openalex.org/W2963995996","https://openalex.org/W2981978060","https://openalex.org/W2982480216","https://openalex.org/W2982654623","https://openalex.org/W3035492592","https://openalex.org/W3035520874","https://openalex.org/W3093078906","https://openalex.org/W3107812413","https://openalex.org/W3108377441","https://openalex.org/W3177378307","https://openalex.org/W3184701780","https://openalex.org/W4312286727","https://openalex.org/W4317524344","https://openalex.org/W6631190155","https://openalex.org/W6640174519","https://openalex.org/W6743905813","https://openalex.org/W6771395016","https://openalex.org/W6798883673"],"related_works":["https://openalex.org/W2036879703","https://openalex.org/W2084679526","https://openalex.org/W2130158812","https://openalex.org/W1520618957","https://openalex.org/W2130392514","https://openalex.org/W2112748650","https://openalex.org/W2015524660","https://openalex.org/W1988346225","https://openalex.org/W2138421692","https://openalex.org/W1607367798"],"abstract_inverted_index":{"3D":[0,129],"human":[1,45,98,140],"model":[2,67,166],"reconstruction":[3],"from":[4,82],"a":[5,9,61,118],"single":[6],"image":[7,161],"has":[8],"wide":[10],"range":[11],"of":[12,27,69],"applications":[13],"in":[14,47,78,117],"VR/AR,":[15],"video":[16],"games,":[17],"virtual":[18],"dressing":[19],"and":[20,65,87,146,176],"data":[21],"synthesis.":[22],"Texture":[23],"generation":[24,35,174],"is":[25],"one":[26],"its":[28],"important":[29],"components.":[30],"Existing":[31],"texture":[32,41,53,63,71,76,90,104,109,130,173],"flow":[33,77],"based":[34,89,122],"methods":[36,175],"usually":[37],"cannot":[38],"handle":[39],"well":[40],"inference":[42],"for":[43,51,96,151],"invisible":[44,97],"parts":[46,99],"input":[48],"images,":[49],"especially":[50],"asymmetric":[52],"structures.":[54],"To":[55],"address":[56],"this":[57],"problem,":[58],"we":[59,133],"propose":[60],"joint":[62],"transfer":[64],"regression":[66],"consisting":[68],"part-aware":[70],"transfer,":[72],"which":[73,92],"predicts":[74],"the":[75,79,83,102,108,124,152,178],"UV":[80,103],"space":[81],"semantic":[84],"mesh":[85],"segmentation,":[86],"UV-map":[88],"regression,":[91],"further":[93],"refines":[94],"textures":[95,137,170],"according":[100],"to":[101,138],"map":[105],"produced":[106],"by":[107],"transfer.":[110],"These":[111],"two":[112],"modules":[113],"are":[114],"learned":[115],"jointly":[116],"weakly":[119],"supervised":[120],"manner":[121],"on":[123,159],"perceptual":[125],"metrics,":[126],"without":[127],"using":[128],"supervision.":[131],"Furthermore,":[132],"exploit":[134],"our":[135,165],"generated":[136],"synthesize":[139],"images":[141,150],"with":[142],"various":[143],"viewpoints,":[144],"poses":[145],"backgrounds":[147],"as":[148],"training":[149],"person":[153],"re-identification":[154],"(re-ID)":[155],"task.":[156],"Extensive":[157],"experiments":[158],"pedestrian":[160],"datasets":[162],"show":[163],"that":[164],"produces":[167],"higher":[168],"quality":[169],"than":[171],"other":[172],"improves":[177],"re-ID":[179],"performance.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}