{"id":"https://openalex.org/W3208602589","doi":"https://doi.org/10.1145/3485441.3485649","title":"Depth Estimation from a Single Omnidirectional Image using Domain Adaptation","display_name":"Depth Estimation from a Single Omnidirectional Image using Domain Adaptation","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W3208602589","doi":"https://doi.org/10.1145/3485441.3485649","mag":"3208602589"},"language":"en","primary_location":{"id":"doi:10.1145/3485441.3485649","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485441.3485649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Visual Media Production","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":"https://openalex.org/A5100645165","display_name":"Yihong Wu","orcid":"https://orcid.org/0000-0003-3340-2535"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yihong Wu","raw_affiliation_strings":["The University of Southampton ECS VLC Group, UK"],"affiliations":[{"raw_affiliation_string":"The University of Southampton ECS VLC Group, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065090528","display_name":"Yuwen Heng","orcid":"https://orcid.org/0000-0003-3793-4811"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuwen Heng","raw_affiliation_strings":["University of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033579333","display_name":"Mahesan Niranjan","orcid":"https://orcid.org/0000-0001-7021-140X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesan Niranjan","raw_affiliation_strings":["University of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668564","display_name":"Hansung Kim","orcid":"https://orcid.org/0000-0003-4907-0491"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hansung Kim","raw_affiliation_strings":["University Of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"University Of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100645165"],"corresponding_institution_ids":["https://openalex.org/I43439940"],"apc_list":null,"apc_paid":null,"fwci":0.2903,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56838654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.8057153820991516},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.7411902546882629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7313037514686584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6539014577865601},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4966147541999817},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4719525873661041},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4232582747936249},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4138477146625519},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41379982233047485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33680593967437744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13344895839691162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057153820991516},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.7411902546882629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7313037514686584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6539014577865601},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4966147541999817},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4719525873661041},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4232582747936249},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4138477146625519},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41379982233047485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33680593967437744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13344895839691162},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3485441.3485649","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485441.3485649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Visual Media Production","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:451974","is_oa":false,"landing_page_url":"http://doi.org/10.1145/3485441.3485649>).","pdf_url":null,"source":{"id":"https://openalex.org/S4306401020","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G7827686030","display_name":null,"funder_award_id":"EP/V03538X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W163916187","https://openalex.org/W206745480","https://openalex.org/W1543915476","https://openalex.org/W1967239985","https://openalex.org/W2056189939","https://openalex.org/W2115579991","https://openalex.org/W2133665775","https://openalex.org/W2165698076","https://openalex.org/W2488179576","https://openalex.org/W2520707372","https://openalex.org/W2561074213","https://openalex.org/W2601564443","https://openalex.org/W2768591600","https://openalex.org/W2788295695","https://openalex.org/W2795321555","https://openalex.org/W2883505290","https://openalex.org/W2907670226","https://openalex.org/W2912836860","https://openalex.org/W2951234442","https://openalex.org/W2954174912","https://openalex.org/W2963488291","https://openalex.org/W2964020152","https://openalex.org/W2964153986","https://openalex.org/W2971729523","https://openalex.org/W3011395398","https://openalex.org/W3021070601","https://openalex.org/W3034728336","https://openalex.org/W3040318838","https://openalex.org/W3103930150","https://openalex.org/W4206323760"],"related_works":["https://openalex.org/W4211095314","https://openalex.org/W4214562868","https://openalex.org/W1991249326","https://openalex.org/W200819717","https://openalex.org/W4379536980","https://openalex.org/W2126905924","https://openalex.org/W2123271278","https://openalex.org/W1972819412","https://openalex.org/W3205202509","https://openalex.org/W2281465300"],"abstract_inverted_index":{"Omnidirectional":[0],"cameras":[1],"are":[2],"becoming":[3],"popular":[4],"in":[5,18,161],"various":[6],"applications":[7],"owing":[8],"to":[9,12,35,45,104],"their":[10],"ability":[11],"capture":[13],"the":[14,81,143,147],"full":[15],"surrounding":[16],"scene":[17,26,93],"real-time.":[19],"However,":[20],"depth":[21,48,61,86,94,111,140,162],"estimation":[22,49,62,95,112,163],"for":[23,76,91,114],"an":[24],"omnidirectional":[25,83,117],"is":[27,43,88],"more":[28],"difficult":[29],"than":[30,164],"normal":[31,47],"perspective":[32],"images":[33],"due":[34],"its":[36,136],"different":[37],"system":[38],"properties":[39],"and":[40,129,138],"distortions.":[41],"It":[42],"hard":[44],"use":[46],"methods":[50],"such":[51],"as":[52,135],"stereo":[53],"matching":[54],"or":[55],"RGB-D":[56],"sensing.":[57],"A":[58],"deep-learning-based":[59],"single-shot":[60],"approach":[63],"can":[64],"be":[65],"a":[66,72,110,115,169],"good":[67],"solution,":[68],"but":[69],"it":[70,97],"requires":[71],"large":[73],"labelled":[74,126,171],"dataset":[75,84],"training.":[77],"The":[78,122,154],"3D60":[79],"dataset,":[80],"largest":[82],"with":[85,168],"labels,":[87],"not":[89],"applicable":[90],"general":[92],"because":[96],"covers":[98],"very":[99],"limited":[100,170],"scenes.":[101],"In":[102],"order":[103],"overcome":[105],"this":[106],"limitation,":[107],"we":[108],"propose":[109],"architecture":[113,124,156],"single":[116],"image":[118],"using":[119,146],"domain":[120,128,132,145],"adaptation.":[121],"proposed":[123,155],"gets":[125],"source":[127],"unlabelled":[130],"target":[131,144],"data":[133],"together":[134],"input":[137],"estimated":[139],"information":[141],"of":[142],"Generative":[148],"Adversarial":[149],"Networks":[150],"(GAN)":[151],"based":[152],"method.":[153],"shows":[157],">10%":[158],"higher":[159],"accuracy":[160],"traditional":[165],"encoder-decoder":[166],"models":[167],"dataset.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}
