{"id":"https://openalex.org/W3096678291","doi":"https://doi.org/10.1109/iccv48922.2021.00614","title":"Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers","display_name":"Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3096678291","doi":"https://doi.org/10.1109/iccv48922.2021.00614","mag":"3096678291"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.00614","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.02910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040186104","display_name":"Zhaoshuo Li","orcid":"https://orcid.org/0000-0001-5874-4713"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaoshuo Li","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072774443","display_name":"Xingtong Liu","orcid":"https://orcid.org/0000-0002-8661-7460"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingtong Liu","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026964758","display_name":"Nathan Drenkow","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Drenkow","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050597052","display_name":"Andy S. Ding","orcid":"https://orcid.org/0000-0002-8490-057X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andy Ding","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054227457","display_name":"Francis X. Creighton","orcid":"https://orcid.org/0000-0003-3131-1162"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francis X. Creighton","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004170925","display_name":"Russell H. Taylor","orcid":"https://orcid.org/0000-0001-6272-1100"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Russell H. Taylor","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087095414","display_name":"Mathias Unberath","orcid":"https://orcid.org/0000-0002-0055-9950"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mathias Unberath","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.143,"has_fulltext":false,"cited_by_count":188,"citation_normalized_percentile":{"value":0.99987,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":0.9974,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9972,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.745737},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5232029},{"id":"https://openalex.org/keywords/correspondence-problem","display_name":"Correspondence problem","score":0.44097114}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.745737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68474203},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.64550143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60905623},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5858376},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5577103},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5232029},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.49569118},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45579797},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.44097114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.309107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1808568},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1073263},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.00614","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2011.02910","pdf_url":"https://arxiv.org/pdf/2011.02910","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2011.02910","pdf_url":"https://arxiv.org/pdf/2011.02910","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.42,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":55,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W1536680647","https://openalex.org/W1921093919","https://openalex.org/W1967134278","https://openalex.org/W1977948323","https://openalex.org/W2117248802","https://openalex.org/W2135887870","https://openalex.org/W2158131535","https://openalex.org/W2214868166","https://openalex.org/W2259424905","https://openalex.org/W2604231069","https://openalex.org/W2763421725","https://openalex.org/W2786672974","https://openalex.org/W2805430142","https://openalex.org/W2888285221","https://openalex.org/W2911109671","https://openalex.org/W2936215687","https://openalex.org/W2940744433","https://openalex.org/W2946567085","https://openalex.org/W2949964146","https://openalex.org/W2950496566","https://openalex.org/W2952813711","https://openalex.org/W2952825894","https://openalex.org/W2963403868","https://openalex.org/W2963446712","https://openalex.org/W2963496125","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2964110616","https://openalex.org/W2970971581","https://openalex.org/W3030520226","https://openalex.org/W3033187248","https://openalex.org/W3033193681","https://openalex.org/W3034275286","https://openalex.org/W3034514115","https://openalex.org/W3034530552","https://openalex.org/W3034600477","https://openalex.org/W3034976873","https://openalex.org/W3035242260","https://openalex.org/W3035387557","https://openalex.org/W3039256091","https://openalex.org/W3093769466","https://openalex.org/W3094502228","https://openalex.org/W3097065222","https://openalex.org/W3100388886","https://openalex.org/W3103682594","https://openalex.org/W3108829545","https://openalex.org/W3119959063","https://openalex.org/W3122890974","https://openalex.org/W4206471589","https://openalex.org/W4295312788","https://openalex.org/W4298129340","https://openalex.org/W4323654151","https://openalex.org/W4385245566","https://openalex.org/W63091017"],"related_works":["https://openalex.org/W3152085117","https://openalex.org/W2141551405","https://openalex.org/W2133321176","https://openalex.org/W21317859","https://openalex.org/W2084191906","https://openalex.org/W2054109490","https://openalex.org/W2016524789","https://openalex.org/W1893582563","https://openalex.org/W1587833840","https://openalex.org/W1580732511"],"abstract_inverted_index":{"Stereo":[0],"depth":[1],"estimation":[2],"relies":[3],"on":[4,10,88],"optimal":[5],"correspondence":[6,32],"matching":[7,42,82],"between":[8],"pixels":[9],"epipolar":[11],"lines":[12],"in":[13],"the":[14,27,60,81],"left":[15],"and":[16,46,71,75,91,94],"right":[17],"images":[18],"to":[19,34],"infer":[20],"depth.":[21],"In":[22],"this":[23],"work,":[24],"we":[25],"revisit":[26],"problem":[28],"from":[29],"a":[30,63],"sequence-to-sequence":[31],"perspective":[33],"replace":[35],"cost":[36],"volume":[37],"construction":[38],"with":[39],"dense":[40],"pixel":[41],"using":[43],"position":[44],"information":[45],"attention.":[47],"This":[48],"approach,":[49],"named":[50],"STereo":[51],"TRansformer":[52],"(STTR),":[53],"has":[54],"several":[55],"advantages:":[56],"It":[57],"1)":[58],"relaxes":[59],"limitation":[61],"of":[62],"fixed":[64],"disparity":[65],"range,":[66],"2)":[67],"identifies":[68],"occluded":[69],"regions":[70],"provides":[72],"confidence":[73],"estimates,":[74],"3)":[76],"imposes":[77],"uniqueness":[78],"constraints":[79],"during":[80],"process.":[83],"We":[84],"report":[85],"promising":[86],"results":[87],"both":[89],"synthetic":[90],"real-world":[92],"datasets":[93],"demonstrate":[95],"that":[96],"STTR":[97],"generalizes":[98],"across":[99],"different":[100],"domains,":[101],"even":[102],"without":[103],"fine-tuning.":[104]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3096678291","counts_by_year":[{"year":2024,"cited_by_count":69},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":1}],"updated_date":"2025-01-03T09:26:25.404126","created_date":"2020-11-09"}