{"id":"https://openalex.org/W4416548821","doi":"https://doi.org/10.1109/iccv51701.2025.01902","title":"Representation Shift: Unifying Token Compression with Flashattention","display_name":"Representation Shift: Unifying Token Compression with Flashattention","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416548821","doi":"https://doi.org/10.1109/iccv51701.2025.01902"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.00367","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041112881","display_name":"Joonmyung Choi","orcid":"https://orcid.org/0000-0003-3673-8069"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joonmyung Choi","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023814916","display_name":"Sanghyeok Lee","orcid":"https://orcid.org/0000-0002-8830-7060"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanghyeok Lee","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110502130","display_name":"B. Ko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byungoh Ko","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079005385","display_name":"E. G. Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eunseo Kim","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120467412","display_name":"Jihyung Kil","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihyung Kil","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084814930","display_name":"Hyunwoo J. Kim","orcid":"https://orcid.org/0000-0002-2181-9264"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Hyunwoo J. Kim","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041112881"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33675356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20456","last_page":"20466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5397999882698059,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5397999882698059,"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":0.09769999980926514,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.05079999938607216,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6969000101089478},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4884999990463257},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4205000102519989},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3880999982357025},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.38100001215934753},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3644999861717224},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.3603000044822693},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.34279999136924744},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3264999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714999914169312},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6969000101089478},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41359999775886536},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.38100001215934753},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3644999861717224},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.34279999136924744},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.30300000309944153},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C115067241","wikidata":"https://www.wikidata.org/wiki/Q1639854","display_name":"Token passing","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C2781357197","wikidata":"https://www.wikidata.org/wiki/Q5757597","display_name":"High memory","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25209999084472656},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.01902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.00367","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.00367","pdf_url":"https://arxiv.org/pdf/2508.00367","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.00367","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.00367","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.00367","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.00367","pdf_url":"https://arxiv.org/pdf/2508.00367","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Transformers":[0,137],"have":[1,63],"demonstrated":[2],"remarkable":[3],"success":[4],"across":[5],"vision,":[6],"language,":[7],"and":[8,19,28,75,140,164,169],"video.":[9],"Yet,":[10],"increasing":[11],"task":[12],"complexity":[13],"has":[14,44],"led":[15],"to":[16,66,79,97,138,162],"larger":[17],"models":[18],"more":[20],"tokens,":[21],"raising":[22],"the":[23,29,37,112],"quadratic":[24],"cost":[25,39],"of":[26,31,40,114,160],"self-attention":[27],"overhead":[30,69],"GPU":[32],"memory":[33,68],"access.":[34],"To":[35],"reduce":[36],"computation":[38],"self-attention,":[41],"prior":[42],"work":[43],"proposed":[45],"token":[46,89,99,123,152],"compression":[47,90,124,153],"techniques":[48],"that":[49,110,147],"drop":[50],"redundant":[51],"or":[52,130],"less":[53],"informative":[54],"tokens.":[55],"Meanwhile,":[56],"fused":[57],"attention":[58,72,95,128],"kernels":[59],"such":[60],"as":[61],"FlashAttention":[62],"been":[64],"developed":[65],"alleviate":[67],"by":[70],"avoiding":[71],"map":[73],"construction":[74],"its":[76],"associated":[77],"I/O":[78],"HBM.":[80],"This,":[81],"however,":[82],"makes":[83],"it":[84],"incompatible":[85],"with":[86,125,155],"most":[87],"training-free":[88],"methods,":[91],"which":[92],"rely":[93],"on":[94],"maps":[96,129],"determine":[98],"importance.":[100],"Here,":[101],"we":[102],"propose":[103],"Representation":[104,148],"Shift,":[105],"a":[106],"training-free,":[107],"model-agnostic":[108],"metric":[109],"measures":[111],"degree":[113],"change":[115],"in":[116,166],"each":[117],"token's":[118],"representation.":[119],"This":[120],"seamlessly":[121],"integrates":[122],"FlashAttention,":[126,156],"without":[127],"retraining.":[131],"Our":[132],"method":[133],"further":[134],"generalizes":[135],"beyond":[136],"CNNs":[139],"state":[141],"space":[142],"models.":[143],"Extensive":[144],"experiments":[145],"show":[146],"Shift":[149],"enables":[150],"effective":[151],"compatible":[154],"yielding":[157],"significant":[158],"speedups":[159],"up":[161],"5.5%":[163],"4.4%":[165],"video-text":[167],"retrieval":[168],"video":[170],"QA,":[171],"respectively.":[172],"Code":[173],"is":[174],"available":[175],"at":[176],"https://github.com/mlvlab/Representation-Shift.":[177]},"counts_by_year":[],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-10-10T00:00:00"}