{"id":"https://openalex.org/W4392901999","doi":"https://doi.org/10.1109/lra.2024.3376156","title":"DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation","display_name":"DIVIDE: Learning a Domain-Invariant Geometric Space for Depth Estimation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392901999","doi":"https://doi.org/10.1109/lra.2024.3376156"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2024.3376156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3376156","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5014826436","display_name":"Dongseok Shim","orcid":"https://orcid.org/0000-0003-1580-0716"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongseok Shim","raw_affiliation_strings":["Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1580-0716","affiliations":[{"raw_affiliation_string":"Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073996122","display_name":"H. Jin Kim","orcid":"https://orcid.org/0000-0002-6819-1136"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"H. Jin Kim","raw_affiliation_strings":["Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6819-1136","affiliations":[{"raw_affiliation_string":"Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.4929,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5754941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"5","first_page":"4663","last_page":"4670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/invariant","display_name":"Invariant (physics)","score":0.5995263457298279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5417199730873108},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4325036406517029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3803999125957489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3781468868255615},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.3714407682418823},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.34775447845458984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07371607422828674}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5995263457298279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5417199730873108},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4325036406517029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3803999125957489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3781468868255615},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.3714407682418823},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.34775447845458984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07371607422828674},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2024.3376156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3376156","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2074254947","https://openalex.org/W2107105977","https://openalex.org/W2124907686","https://openalex.org/W2132947399","https://openalex.org/W2150066425","https://openalex.org/W2187089797","https://openalex.org/W2397830550","https://openalex.org/W2475287302","https://openalex.org/W2520707372","https://openalex.org/W2593414223","https://openalex.org/W2609883120","https://openalex.org/W2938672559","https://openalex.org/W2949830259","https://openalex.org/W2962804601","https://openalex.org/W2962960377","https://openalex.org/W2963488291","https://openalex.org/W2963517541","https://openalex.org/W2963591054","https://openalex.org/W2964332173","https://openalex.org/W2985775862","https://openalex.org/W3082846761","https://openalex.org/W3098467253","https://openalex.org/W3108316907","https://openalex.org/W3146082954","https://openalex.org/W3180194985","https://openalex.org/W3191805365","https://openalex.org/W4313160354","https://openalex.org/W4313192952","https://openalex.org/W6685261749","https://openalex.org/W6753941181","https://openalex.org/W6764040762","https://openalex.org/W6765779288","https://openalex.org/W6766261854","https://openalex.org/W6778991305","https://openalex.org/W6840155194"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W4383503847","https://openalex.org/W2342695897","https://openalex.org/W2216265843"],"abstract_inverted_index":{"Learning-based":[0],"depth":[1,69,104,116],"estimation":[2,117],"requires":[3],"a":[4,21,33,63,74],"large":[5],"amount":[6],"of":[7,90],"real-world":[8],"training":[9],"data,":[10],"which":[11,72],"can":[12],"be":[13],"both":[14],"expensive":[15],"and":[16,54,94,129],"time-consuming":[17],"to":[18,47,78],"acquire.":[19],"As":[20],"result,":[22],"utilizing":[23],"fully-annotated":[24],"synthetic":[25,40],"data":[26,41],"from":[27],"virtual":[28,53],"environments":[29],"has":[30],"emerged":[31],"as":[32,118,120],"promising":[34],"alternative.":[35],"However,":[36],"networks":[37],"trained":[38],"with":[39,125],"typically":[42],"exhibit":[43],"sub-optimal":[44],"performance":[45],"due":[46],"the":[48,80,87,91],"inherent":[49],"distribution":[50],"gap":[51],"between":[52],"real":[55],"domain.":[56],"To":[57],"address":[58],"this":[59],"issue,":[60],"we":[61],"propose":[62],"new":[64],"domain":[65,81,113],"adaptation":[66,114],"framework":[67],"for":[68,102,115],"estimation,":[70],"DIVIDE,":[71],"learns":[73],"domain-invariant":[75],"geometric":[76],"space":[77],"minimize":[79],"shift.":[82],"In":[83],"particular,":[84],"DIVIDE":[85],"disentangles":[86],"domain-specific":[88],"components":[89],"input":[92],"image":[93,127],"removes":[95],"them":[96],"while":[97],"preserving":[98],"its":[99],"structural":[100,130],"information":[101],"accurate":[103],"estimation.":[105],"Our":[106],"proposed":[107],"method":[108],"outperforms":[109],"state-of-the-art":[110],"results":[111],"in":[112],"well":[119],"achieves":[121],"better":[122],"style":[123],"transfer":[124],"high":[126],"fidelity":[128],"consistency.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}