{"id":"https://openalex.org/W3117557550","doi":"https://doi.org/10.1109/vcip49819.2020.9301756","title":"Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition","display_name":"Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3117557550","doi":"https://doi.org/10.1109/vcip49819.2020.9301756","mag":"3117557550"},"language":"en","primary_location":{"id":"doi:10.1109/vcip49819.2020.9301756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5080021784","display_name":"Bianjiang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bianjiang Yang","raw_affiliation_strings":["Chu Kochen Honors College, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chu Kochen Honors College, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016772567","display_name":"Zi Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zi Hui","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017732456","display_name":"Haoji Hu","orcid":"https://orcid.org/0000-0001-6048-6549"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoji Hu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078423656","display_name":"Xinyi Hu","orcid":"https://orcid.org/0000-0003-2627-6761"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Hu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106403416","display_name":"Lu Yu","orcid":"https://orcid.org/0000-0002-0550-7754"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Yu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17802025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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":0.9984999895095825,"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":0.7742381691932678},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7406214475631714},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6289370059967041},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5330262184143066},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5302352905273438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5226383209228516},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.481050044298172},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4363621473312378},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.42682385444641113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.343999981880188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1991686224937439},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1417342722415924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12308648228645325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742381691932678},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7406214475631714},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6289370059967041},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5330262184143066},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5302352905273438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5226383209228516},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.481050044298172},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4363621473312378},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.42682385444641113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.343999981880188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1991686224937439},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1417342722415924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12308648228645325},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip49819.2020.9301756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1916003155","https://openalex.org/W2056566827","https://openalex.org/W2105557003","https://openalex.org/W2157968791","https://openalex.org/W2319920447","https://openalex.org/W2331128040","https://openalex.org/W2509310573","https://openalex.org/W2550673061","https://openalex.org/W2556168980","https://openalex.org/W2612445135","https://openalex.org/W2896240508","https://openalex.org/W2902911072","https://openalex.org/W2903591263","https://openalex.org/W2945908221","https://openalex.org/W2963265461","https://openalex.org/W2963832775","https://openalex.org/W3014459691","https://openalex.org/W3035057895","https://openalex.org/W4297775537","https://openalex.org/W6638523607","https://openalex.org/W6700264148","https://openalex.org/W6702130928","https://openalex.org/W6716912179","https://openalex.org/W6737664043","https://openalex.org/W6756554831","https://openalex.org/W6763207085"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W3026162553","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509"],"abstract_inverted_index":{"Although":[0],"the":[1,22,28,59,85,100,106,109,115],"facial":[2,37,117],"makeup":[3,14,38,118],"transfer":[4,39,119],"network":[5,29,120],"has":[6],"achieved":[7],"high-quality":[8],"performance":[9],"in":[10],"generating":[11],"perceptually":[12],"pleasing":[13],"images,":[15],"its":[16],"capability":[17],"is":[18,53,68],"still":[19],"restricted":[20],"by":[21,35,55],"massive":[23],"computation":[24],"and":[25,44],"storage":[26],"of":[27,50,74,88,108],"architecture.":[30],"We":[31],"address":[32],"this":[33],"issue":[34],"compressing":[36],"networks":[40],"with":[41],"collaborative":[42,51,65],"distillation":[43,52],"kernel":[45,81],"decomposition.":[46],"The":[47],"main":[48],"idea":[49],"underpinned":[54],"a":[56,71,93],"finding":[57],"that":[58],"encoder-decoder":[60],"pairs":[61],"construct":[62],"an":[63],"exclusive":[64],"relationship,":[66],"which":[67],"regarded":[69],"as":[70],"new":[72],"kind":[73],"knowledge":[75],"for":[76],"low-level":[77],"vision":[78],"tasks.":[79],"For":[80],"decomposition,":[82],"we":[83],"apply":[84],"depth-wise":[86],"separation":[87],"convolutional":[89],"kernels":[90],"to":[91,114],"build":[92],"light-weighted":[94],"Convolutional":[95],"Neural":[96],"Network":[97],"(CNN)":[98],"from":[99],"original":[101],"network.":[102],"Extensive":[103],"experiments":[104],"show":[105],"effectiveness":[107],"compression":[110],"method":[111],"when":[112],"applied":[113],"state-of-the-art":[116],"-":[121],"BeautyGAN":[122],"[1].":[123]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}