{"id":"https://openalex.org/W4415538366","doi":"https://doi.org/10.1145/3746027.3755366","title":"OFFSET: Segmentation-based Focus Shift Revision for Composed Image Retrieval","display_name":"OFFSET: Segmentation-based Focus Shift Revision for Composed Image Retrieval","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538366","doi":"https://doi.org/10.1145/3746027.3755366"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755366","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":null,"display_name":"Zhiwei Chen","orcid":"https://orcid.org/0009-0003-0365-8553"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Chen","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0003-0365-8553","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875643","display_name":"Yupeng Hu","orcid":"https://orcid.org/0000-0002-5653-8286"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Hu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-5653-8286","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zixu Li","orcid":"https://orcid.org/0009-0001-5136-159X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixu Li","raw_affiliation_strings":["School of software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0001-5136-159X","affiliations":[{"raw_affiliation_string":"School of software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050782735","display_name":"Zhiheng Fu","orcid":"https://orcid.org/0009-0007-7724-5662"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Fu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0007-7724-5662","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072768866","display_name":"Xuemeng Song","orcid":"https://orcid.org/0000-0002-5274-4197"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xuemeng Song","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5274-4197","affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038612499","display_name":"Liqiang Nie","orcid":"https://orcid.org/0000-0003-1476-0273"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1476-0273","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6747,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95358825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6113","last_page":"6122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9908999800682068,"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/focus","display_name":"Focus (optics)","score":0.8652999997138977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6348000168800354},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6093999743461609},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5200999975204468},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5180000066757202},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5077999830245972},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.37290000915527344}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.8652999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011999726295471},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6348000168800354},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6093999743461609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5422000288963318},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5077999830245972},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.3668999969959259},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3571000099182129},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3010999858379364},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.2937999963760376},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755366","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2798354744","https://openalex.org/W2897628926","https://openalex.org/W2905544595","https://openalex.org/W2956959730","https://openalex.org/W3026458074","https://openalex.org/W3093002391","https://openalex.org/W3156861396","https://openalex.org/W3157181916","https://openalex.org/W3172514680","https://openalex.org/W3174026887","https://openalex.org/W3203247393","https://openalex.org/W4292828970","https://openalex.org/W4312420092","https://openalex.org/W4312825288","https://openalex.org/W4312940158","https://openalex.org/W4313855701","https://openalex.org/W4386492140","https://openalex.org/W4391605183","https://openalex.org/W4391650123","https://openalex.org/W4393154871","https://openalex.org/W4395084323","https://openalex.org/W4396216126","https://openalex.org/W4396542632","https://openalex.org/W4399800787","https://openalex.org/W4400526206","https://openalex.org/W4400562021","https://openalex.org/W4401126726","https://openalex.org/W4401500093","https://openalex.org/W4403791961","https://openalex.org/W4406200194","https://openalex.org/W4407762172","https://openalex.org/W4408345919","https://openalex.org/W4408354931","https://openalex.org/W4408356055","https://openalex.org/W4408738462","https://openalex.org/W4409367947","https://openalex.org/W4412876983"],"related_works":[],"abstract_inverted_index":{"Composed":[0],"Image":[1],"Retrieval":[2],"(CIR)":[3],"represents":[4],"a":[5,25,29,33,94,106,153],"novel":[6],"retrieval":[7,16],"paradigm":[8],"that":[9],"is":[10,70,89,124],"capable":[11],"of":[12,81,113,137,147,182,212],"expressing":[13],"users'":[14],"intricate":[15],"requirements":[17,164],"flexibly.":[18],"It":[19,123],"enables":[20],"the":[21,39,43,79,85,135,145,162,167,175,180,183,187,195,210],"user":[22],"to":[23,57,73,93,126,169],"give":[24],"multimodal":[26],"query,":[27],"comprising":[28],"reference":[30,176],"image":[31,86],"and":[32,36,64,77,119,133,139,202,218],"modification":[34,87,163,184],"text,":[35],"subsequently":[37],"retrieve":[38],"target":[40],"image.":[41],"Notwithstanding":[42],"considerable":[44],"advances":[45],"made":[46],"by":[47],"prevailing":[48],"methodologies,":[49],"CIR":[50],"remains":[51],"in":[52,67,84,131,166],"its":[53],"nascent":[54],"stages":[55],"due":[56],"two":[58,101,114],"limitations:":[59],"1)":[60],"inhomogeneity":[61],"between":[62],"dominant":[63,116,129],"noisy":[65],"portions":[66,130],"visual":[68,95,138],"data":[69,83,141,219],"ignored,":[71],"leading":[72],"query":[74],"feature":[75,109],"degradation,":[76],"2)":[78],"priority":[80],"textual":[82,140],"process":[88],"overlooked,":[90],"which":[91,111,159],"leads":[92],"focus":[96,107,121,156,172,185],"bias.":[97],"To":[98],"address":[99],"these":[100],"limitations,":[102],"this":[103],"work":[104],"presents":[105],"mapping-based":[108],"extractor,":[110],"consists":[112],"modules:":[115],"portion":[117],"segmentation":[118],"dual":[120],"mapping.":[122],"designed":[125],"identify":[127],"significant":[128],"images":[132],"guide":[134],"extraction":[136],"features,":[142],"thereby":[143,178],"reducing":[144],"impact":[146],"noise":[148],"interference.":[149],"Subsequently,":[150],"we":[151],"propose":[152],"textually":[154],"guided":[155],"revision":[157,173],"module,":[158],"can":[160],"utilize":[161],"implied":[165],"text":[168],"perform":[170],"adaptive":[171],"on":[174,186,205,222],"image,":[177],"enhancing":[179],"perception":[181],"composed":[188],"features.":[189],"The":[190,216],"aforementioned":[191],"modules":[192],"collectively":[193],"constitute":[194],"segmentatiOn-based":[196],"Focus":[197],"shiFt":[198],"reviSion":[199],"nETwork":[200],"(OFFSET),":[201],"comprehensive":[203],"experiments":[204],"four":[206],"benchmark":[207],"datasets":[208],"substantiate":[209],"superiority":[211],"our":[213],"proposed":[214],"method.":[215],"codes":[217],"are":[220],"available":[221],"https://zivchen-ty.github.io/OFFSET.github.io/.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-25T00:00:00"}