{"id":"https://openalex.org/W6926108253","doi":"https://doi.org/10.2312/stag.20241336","title":"DDD: Deep indoor panoramic Depth estimation with Density maps consistency","display_name":"DDD: Deep indoor panoramic Depth estimation with Density maps consistency","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6926108253","doi":"https://doi.org/10.2312/stag.20241336"},"language":"en","primary_location":{"id":"pmh:oai:iris.unibs.it:11379/626067","is_oa":true,"landing_page_url":"https://hdl.handle.net/11379/626067","pdf_url":"https://diglib.eg.org/server/api/core/bitstreams/b641910f-091a-40a2-a282-91671fc66603/content","source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/conferenceObject"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://diglib.eg.org/server/api/core/bitstreams/b641910f-091a-40a2-a282-91671fc66603/content","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pintore, Giovanni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pintore, Giovanni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Agus, Marco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agus, Marco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Signoroni, Alberto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Signoroni, Alberto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Gobbetti, Enrico","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gobbetti, Enrico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9905,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98114509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11175","display_name":"Gyrotron and Vacuum Electronics Research","score":0.460099995136261,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11175","display_name":"Gyrotron and Vacuum Electronics Research","score":0.460099995136261,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10781","display_name":"Plasma Diagnostics and Applications","score":0.11400000005960464,"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"}},{"id":"https://openalex.org/T11367","display_name":"Particle accelerators and beam dynamics","score":0.04259999841451645,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.5860000252723694},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5835000276565552},{"id":"https://openalex.org/keywords/flattening","display_name":"Flattening","score":0.5552999973297119},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5479999780654907},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.46790000796318054},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4401000142097473},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40849998593330383},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.4083000123500824},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3781999945640564}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647599995136261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287999749183655},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5543000102043152},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5479999780654907},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37279999256134033},{"id":"https://openalex.org/C59218005","wikidata":"https://www.wikidata.org/wiki/Q17027571","display_name":"Horizontal and vertical","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.358599990606308},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32249999046325684},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25679999589920044},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:iris.unibs.it:11379/626067","is_oa":true,"landing_page_url":"https://hdl.handle.net/11379/626067","pdf_url":"https://diglib.eg.org/server/api/core/bitstreams/b641910f-091a-40a2-a282-91671fc66603/content","source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.2312/stag.20241336","is_oa":true,"landing_page_url":"https://doi.org/10.2312/stag.20241336","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:iris.unibs.it:11379/626067","is_oa":true,"landing_page_url":"https://hdl.handle.net/11379/626067","pdf_url":"https://diglib.eg.org/server/api/core/bitstreams/b641910f-091a-40a2-a282-91671fc66603/content","source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.7592812180519104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4249742314","display_name":null,"funder_award_id":"0403-210132","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"}],"funders":[{"id":"https://openalex.org/F4320309815","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05"},{"id":"https://openalex.org/F4320321038","display_name":"Fonds National de la Recherche Luxembourg","ror":"https://ror.org/039z13y21"},{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W6926108253.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1,77,114],"a":[2,22,26,78,115],"novel":[3],"deep":[4],"neural":[5],"network":[6,20,80],"for":[7],"rapid":[8],"and":[9,47,60,69,87,101,137,155],"structurally":[10],"consistent":[11],"monocular":[12],"360\u25e6":[13],"depth":[14,23,40,45,133],"estimation":[15],"in":[16,72],"indoor":[17,74],"environments.":[18],"The":[19],"infers":[21],"map":[24,134],"from":[25,130],"single":[27],"gravity-aligned":[28,84],"or":[29],"gravity-rectified":[30],"equirectangular":[31],"image":[32],"of":[33,49,67,109,123,162],"the":[34,38,43,64,93,106,110,121,131,159],"environment,":[35],"ensuring":[36],"that":[37,82,91,119],"predicted":[39,111],"aligns":[41],"with":[42],"typical":[44],"distribution":[46],"features":[48,71],"cluttered":[50],"interior":[51],"spaces,":[52],"which":[53],"are":[54],"usually":[55],"enclosed":[56],"by":[57,126],"walls,":[58],"ceilings,":[59],"floors.":[61],"By":[62],"leveraging":[63],"distinct":[65],"characteristics":[66],"vertical":[68,138],"horizontal":[70,136],"man-made":[73],"environments,":[75],"we":[76,113],"lean":[79],"architecture":[81,142],"employs":[83],"feature":[85],"flattening":[86],"specialized":[88],"vision":[89],"transformers":[90],"utilize":[92],"input's":[94],"omnidirectional":[95],"nature,":[96],"without":[97],"segmentation":[98],"into":[99],"patches":[100],"positional":[102],"encoding.":[103],"To":[104],"enhance":[105],"structural":[107,150,164],"consistency":[108,122,151],"depth,":[112],"new":[116],"loss":[117],"function":[118],"evaluates":[120],"density":[124],"maps":[125],"projecting":[127],"points":[128],"derived":[129],"inferred":[132],"onto":[135],"planes.":[139],"This":[140],"lightweight":[141],"has":[143],"very":[144],"small":[145],"computational":[146],"demands,":[147],"provides":[148],"greater":[149],"than":[152],"competing":[153],"methods,":[154],"does":[156],"not":[157],"require":[158],"explicit":[160],"imposition":[161],"strong":[163],"priors.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}