{"id":"https://openalex.org/W4415275741","doi":"https://doi.org/10.1109/iccv51701.2025.00015","title":"Removing Cost Volumes from Optical Flow Estimators","display_name":"Removing Cost Volumes from Optical Flow Estimators","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415275741","doi":"https://doi.org/10.1109/iccv51701.2025.00015"},"language":null,"primary_location":{"id":"doi:10.1109/iccv51701.2025.00015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00015","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/2510.13317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094272550","display_name":"Simon Kiefhaber","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Simon Kiefhaber","raw_affiliation_strings":["Technical University of Darmstadt,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,Department of Computer Science","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056098625","display_name":"Stefan Roth","orcid":"https://orcid.org/0000-0001-9002-9832"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Roth","raw_affiliation_strings":["Technical University of Darmstadt,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,Department of Computer Science","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079476861","display_name":"Simone Schaub-Meyer","orcid":"https://orcid.org/0000-0001-8644-1074"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simone Schaub-Meyer","raw_affiliation_strings":["Technical University of Darmstadt,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,Department of Computer Science","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094272550"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3849332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8974999785423279,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8974999785423279,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.7835000157356262,"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/T14189","display_name":"Intravenous Infusion Technology and Safety","score":0.7825000286102295,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/estimator","display_name":"Estimator","score":0.6945000290870667},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6567000150680542},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5450999736785889},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5177000164985657},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.49399998784065247},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.48579999804496765},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42590001225471497}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6945000290870667},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6567000150680542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323000192642212},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5450999736785889},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5177000164985657},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45879998803138733},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42590001225471497},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4025000035762787},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3140999972820282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2782000005245209},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2524999976158142},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00015","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:2510.13317","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.13317","pdf_url":"https://arxiv.org/pdf/2510.13317","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.2510.13317","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.13317","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:2510.13317","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.13317","pdf_url":"https://arxiv.org/pdf/2510.13317","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":[{"id":"https://openalex.org/G380019826","display_name":"Robust, Explainable Deep Networks in Computer Vision","funder_award_id":"866008","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7177660355","display_name":null,"funder_award_id":"529680848","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8425443834","display_name":"Robust, Explainable Deep Networks in Computer Vision","funder_award_id":"866008","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4415275741.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cost":[0],"volumes":[1,41],"are":[2,19],"used":[3],"in":[4],"every":[5],"modern":[6],"optical":[7,71],"flow":[8,72],"estimator,":[9],"but":[10],"due":[11],"to":[12,78],"their":[13,43],"computational":[14],"and":[15,28,83,111],"space":[16],"complexity,":[17],"they":[18],"often":[20],"a":[21,52,61,113],"limiting":[22],"factor":[23],"regarding":[24],"both":[25],"processing":[26,127],"speed":[27,82],"the":[29,67],"resolution":[30],"of":[31,126,136],"input":[32],"frames.":[33],"Motivated":[34],"by":[35],"our":[36,88,121],"empirical":[37],"observation":[38],"that":[39,64],"cost":[40,68],"lose":[42],"importance":[44],"once":[45],"all":[46],"other":[47],"network":[48],"parts":[49],"of,":[50],"e.g.,":[51],"RAFT-based":[53],"pipeline":[54],"have":[55],"been":[56],"sufficiently":[57],"trained,":[58],"we":[59,91],"introduce":[60],"training":[62,89],"strategy":[63],"allows":[65],"removing":[66],"volume":[69],"from":[70],"estimators":[73],"throughout":[74],"training.":[75],"This":[76],"leads":[77],"significantly":[79],"improved":[80],"inference":[81],"reduced":[84],"memory":[85,116],"requirements.":[86],"Using":[87],"strategy,":[90],"create":[92],"three":[93],"different":[94,97],"models":[95],"covering":[96],"compute":[98],"budgets.":[99],"Our":[100],"most":[101],"accurate":[102],"model":[103,123],"reaches":[104],"state-of-the-art":[105],"accuracy":[106],"while":[107],"being":[108],"$1.2\\times$":[109],"faster":[110],"having":[112],"$6\\times$":[114],"lower":[115],"footprint":[117],"than":[118],"comparable":[119],"models;":[120],"fastest":[122],"is":[124],"capable":[125],"Full":[128],"HD":[129],"frames":[130],"at":[131],"$20\\,\\mathrm{FPS}$":[132],"using":[133],"only":[134],"$500\\,\\mathrm{MB}$":[135],"GPU":[137],"memory.":[138]},"counts_by_year":[],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-17T00:00:00"}
