{"id":"https://openalex.org/W2951542270","doi":"https://doi.org/10.1109/icra.2018.8460549","title":"Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors","display_name":"Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2951542270","doi":"https://doi.org/10.1109/icra.2018.8460549","mag":"2951542270"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8460549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.04239","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054422176","display_name":"Chamara Saroj Weerasekera","orcid":null},"institutions":[{"id":"https://openalex.org/I2802348851","display_name":"Vision Australia","ror":"https://ror.org/05vje5x10","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I2802348851"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chamara Saroj Weerasekera","raw_affiliation_strings":["School of Computer Science, Australian Center for Robotic Vision, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Australian Center for Robotic Vision, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I2802348851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002514015","display_name":"Thanuja Dharmasiri","orcid":null},"institutions":[{"id":"https://openalex.org/I2802348851","display_name":"Vision Australia","ror":"https://ror.org/05vje5x10","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I2802348851"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thanuja Dharmasiri","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Australian Center for Robotic Vision, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Australian Center for Robotic Vision, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I2802348851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078883821","display_name":"Ravi Garg","orcid":"https://orcid.org/0000-0002-9422-8086"},"institutions":[{"id":"https://openalex.org/I2802348851","display_name":"Vision Australia","ror":"https://ror.org/05vje5x10","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I2802348851"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ravi Garg","raw_affiliation_strings":["School of Computer Science, Australian Center for Robotic Vision, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Australian Center for Robotic Vision, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I2802348851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017469047","display_name":"Tom Drummond","orcid":"https://orcid.org/0000-0001-8204-5904"},"institutions":[{"id":"https://openalex.org/I2802348851","display_name":"Vision Australia","ror":"https://ror.org/05vje5x10","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I2802348851"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tom Drummond","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Australian Center for Robotic Vision, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Australian Center for Robotic Vision, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I2802348851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089444805","display_name":"Ian Reid","orcid":"https://orcid.org/0000-0001-7790-6423"},"institutions":[{"id":"https://openalex.org/I2802348851","display_name":"Vision Australia","ror":"https://ror.org/05vje5x10","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I2802348851"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ian Reid","raw_affiliation_strings":["School of Computer Science, Australian Center for Robotic Vision, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Australian Center for Robotic Vision, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I2802348851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7051,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93200538,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4977","last_page":"4984"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"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/inpainting","display_name":"Inpainting","score":0.7274221181869507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7126567363739014},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6936464309692383},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5657720565795898},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5315926671028137},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.5305196642875671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5304946899414062},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4578269124031067},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4454762935638428},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.41417255997657776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40489619970321655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3791642189025879},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25775086879730225},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1375446617603302},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.13245031237602234}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7274221181869507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7126567363739014},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6936464309692383},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5657720565795898},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5315926671028137},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.5305196642875671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5304946899414062},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4578269124031067},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4454762935638428},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.41417255997657776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40489619970321655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3791642189025879},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25775086879730225},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1375446617603302},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.13245031237602234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icra.2018.8460549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.04239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.04239","pdf_url":"https://arxiv.org/pdf/1805.04239","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/124481","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/124481","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/xpl/conhome/8449910/proceeding","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.04239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.04239","pdf_url":"https://arxiv.org/pdf/1805.04239","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W612478963","https://openalex.org/W1612997784","https://openalex.org/W1803059841","https://openalex.org/W1905829557","https://openalex.org/W1992178727","https://openalex.org/W2108134361","https://openalex.org/W2115579991","https://openalex.org/W2136154655","https://openalex.org/W2151290401","https://openalex.org/W2161236525","https://openalex.org/W2295862812","https://openalex.org/W2300779272","https://openalex.org/W2561074213","https://openalex.org/W2600383743","https://openalex.org/W2604231069","https://openalex.org/W2674324363","https://openalex.org/W2950094539","https://openalex.org/W2951234442","https://openalex.org/W2952793010","https://openalex.org/W2963316641","https://openalex.org/W2963591054","https://openalex.org/W6618872416","https://openalex.org/W6638271744","https://openalex.org/W6676402299","https://openalex.org/W6685261749","https://openalex.org/W6691539702","https://openalex.org/W6697658144","https://openalex.org/W6735443497","https://openalex.org/W6735804568","https://openalex.org/W6740093700","https://openalex.org/W6742631852","https://openalex.org/W6764076272"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W2045378955","https://openalex.org/W2043935403","https://openalex.org/W4385702170"],"abstract_inverted_index":{"We":[0,61,176],"present":[1],"\u201cjust-in-time":[2],"reconstruction\u201d":[3],"as":[4,56],"realtime":[5],"image-guided":[6],"inpainting":[7,185],"of":[8,133,167,180,186,204],"a":[9,18,33,40,46,51,57,63,72,80,112],"map":[10,22,35,75,136],"with":[11],"arbitrary":[12,199],"scale":[13,200],"and":[14,95,137,152,160,189,196,201],"sparsity":[15],"to":[16,31,67,70,123],"generate":[17],"fully":[19],"dense":[20],"depth":[21,53,59,74,93,127,135,147,155,170,191],"for":[23],"the":[24,91,103,108,125,138,161,165,173,178],"image.":[25,141],"In":[26],"particular,":[27],"our":[28,181],"goal":[29],"is":[30,88],"inpaint":[32],"sparse":[34,47],"-":[36,49],"obtained":[37],"from":[38],"either":[39],"monocular":[41],"visual":[42],"SLAM":[43],"system":[44],"or":[45],"sensor":[48],"using":[50],"single-view":[52],"prediction":[54],"network":[55],"virtual":[58],"sensor.":[60],"adopt":[62],"fairly":[64],"standard":[65],"approach":[66],"data":[68],"fusion,":[69],"produce":[71],"fused":[73,174],"by":[76,90,183],"performing":[77],"inference":[78],"over":[79],"novel":[81],"fully-connected":[82],"Conditional":[83],"Random":[84],"Field":[85],"(CRF)":[86],"which":[87,120],"parameterized":[89],"input":[92,134,169],"maps":[94,192],"their":[96],"pixel-wise":[97],"confidence":[98,104],"weights.":[99],"Crucially,":[100],"we":[101],"obtain":[102],"weights":[105],"that":[106],"parameterize":[107],"CRF":[109,143],"model":[110,124,144],"in":[111,149,157],"data-dependent":[113],"manner":[114],"via":[115],"Convolutional":[116],"Neural":[117],"Networks":[118],"(CNNs)":[119],"are":[121],"trained":[122],"conditional":[126],"error":[128,148,156],"distributions":[129],"given":[130],"each":[131],"source":[132],"associated":[139],"RGB":[140],"Our":[142],"penalises":[145],"absolute":[146],"its":[150,158],"nodes":[151],"pairwise":[153],"scale-invariant":[154],"edges,":[159],"confidence-based":[162],"fusion":[163],"minimizes":[164],"impact":[166],"outlier":[168],"values":[171],"on":[172],"result.":[175],"demonstrate":[177],"flexibility":[179],"method":[182],"real-time":[184],"ORB-SLAM,":[187],"Kinect,":[188],"LIDAR":[190],"acquired":[193],"both":[194],"indoors":[195],"outdoors":[197],"at":[198],"varied":[202],"amount":[203],"irregular":[205],"sparsity.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
