{"id":"https://openalex.org/W4415540136","doi":"https://doi.org/10.1145/3746027.3755640","title":"DiSCo: Disentangled Attribute Manipulation Retrieval via Semantic Reconstruction and Consistency Regularization","display_name":"DiSCo: Disentangled Attribute Manipulation Retrieval via Semantic Reconstruction and Consistency Regularization","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540136","doi":"https://doi.org/10.1145/3746027.3755640"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5011026241","display_name":"Min Tan","orcid":"https://orcid.org/0000-0002-1842-4050"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Tan","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-1842-4050","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013238688","display_name":"Guanhao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhao Liu","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0002-1632-9495","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084909078","display_name":"Huijing Zhan","orcid":"https://orcid.org/0000-0003-3171-2214"},"institutions":[{"id":"https://openalex.org/I8696757","display_name":"Singapore University of Social Sciences","ror":"https://ror.org/01s57k749","country_code":"SG","type":"education","lineage":["https://openalex.org/I8696757"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huijing Zhan","raw_affiliation_strings":["School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3171-2214","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I8696757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070185855","display_name":"Yuyu Yin","orcid":"https://orcid.org/0000-0001-7565-4111"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyu Yin","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-7565-4111","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061025828","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0001-8407-1137"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Yu","raw_affiliation_strings":["Zhejiang Key Laboratory of Space Information Sensing and Transmission, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-8407-1137","affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Space Information Sensing and Transmission, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081149043","display_name":"Jiajun Ding","orcid":"https://orcid.org/0000-0002-7497-7485"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Ding","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7497-7485","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023211608","display_name":"Yinfu Feng","orcid":"https://orcid.org/0000-0001-9136-0965"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfu Feng","raw_affiliation_strings":["Alibaba International Digital Commerce Group (AIDC), Alibaba Group, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-9136-0965","affiliations":[{"raw_affiliation_string":"Alibaba International Digital Commerce Group (AIDC), Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011026241"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15617321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6262","last_page":"6270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/consistency","display_name":"Consistency (knowledge bases)","score":0.7608000040054321},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5638999938964844},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.508899986743927},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5073999762535095},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4490000009536743},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.37059998512268066},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.35929998755455017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800599992275238},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7608000040054321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996999740600586},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.508899986743927},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4490000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3831999897956848},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3693999946117401},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34779998660087585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.2718999981880188},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5748845007","display_name":null,"funder_award_id":"62472133,62422204,62206082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2897195437","https://openalex.org/W2954231566","https://openalex.org/W2997226123","https://openalex.org/W2998315347","https://openalex.org/W3035485997","https://openalex.org/W3142806976","https://openalex.org/W3155833376","https://openalex.org/W4298633577","https://openalex.org/W4377235647","https://openalex.org/W4382518148","https://openalex.org/W4389403234","https://openalex.org/W4390879096"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"evolution":[2],"of":[3,18,39],"the":[4,10,35],"online":[5],"fashion":[6,14,30,40,85,94,170],"industry":[7],"has":[8],"intensified":[9],"demand":[11],"for":[12],"interactive":[13],"retrieval":[15,31,63,151,177],"systems":[16],"capable":[17],"precise":[19],"and":[20,42,68,115,144,160],"flexible":[21],"searches":[22],"based":[23],"on":[24,139],"user-specified":[25],"attribute":[26,49,61,89,95,110,116],"modifications.":[27],"However,":[28],"prevailing":[29],"methods":[32],"often":[33],"overlook":[34],"distinctive":[36],"distributional":[37],"properties":[38],"images":[41,106],"struggle":[43],"to":[44,119],"preserve":[45],"semantic":[46,66,100],"consistency":[47,69],"during":[48],"manipulation.":[50],"To":[51],"address":[52],"these":[53],"limitations,":[54],"we":[55],"propose":[56],"DiSCo,":[57],"a":[58],"novel":[59],"disentangled":[60],"manipulation":[62,80],"framework":[64],"via":[65],"reconstruction":[67,101],"regularization.":[70],"Our":[71],"approach":[72],"comprises":[73],"three":[74],"key":[75],"components:":[76],"(1)":[77],"An":[78,124],"attribute-aware":[79,176],"network":[81,102],"that":[82,103,128,147,165],"constructs":[83],"target":[84,105],"embeddings":[86,132],"through":[87],"cross-modal":[88,99],"modification":[90],"deltas,":[91],"leveraging":[92],"dedicated":[93],"encoders;":[96],"(2)":[97],"A":[98],"synthesizes":[104],"directly":[107],"from":[108],"modified":[109],"descriptions,":[111],"supervised":[112],"by":[113],"adversarial":[114],"classification":[117],"losses":[118],"ensure":[120],"interpretable":[121],"edits;":[122],"(3)":[123],"adaptive":[125],"fusion":[126],"mechanism":[127],"dynamically":[129],"integrates":[130],"attribute-modified":[131],"with":[133],"reconstructed":[134],"image":[135],"features.":[136],"Extensive":[137],"evaluations":[138],"two":[140],"benchmark":[141],"datasets":[142],"(DeepFashion":[143],"Shopping100K)":[145],"demonstrate":[146],"DiSCo":[148,166],"achieves":[149],"superior":[150],"accuracy":[152],"over":[153],"state-of-the-arts":[154],"while":[155],"maintaining":[156],"high-fidelity":[157],"editing.":[158],"Quantitative":[159],"qualitative":[161],"analyses":[162],"further":[163],"confirm":[164],"generates":[167],"more":[168],"realistic":[169],"representations,":[171],"underscoring":[172],"its":[173],"effectiveness":[174],"in":[175],"tasks.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-25T00:00:00"}