{"id":"https://openalex.org/W3207243298","doi":"https://doi.org/10.1109/icra48506.2021.9561523","title":"Self-Guided Instance-Aware Network for Depth Completion and Enhancement","display_name":"Self-Guided Instance-Aware Network for Depth Completion and Enhancement","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3207243298","doi":"https://doi.org/10.1109/icra48506.2021.9561523","mag":"3207243298"},"language":"en","primary_location":{"id":"doi:10.1109/icra48506.2021.9561523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","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/A5071496791","display_name":"Zhongzhen Luo","orcid":"https://orcid.org/0000-0002-5361-2444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongzhen Luo","raw_affiliation_strings":["Epson Research, Markham, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epson Research, Markham, Ontario, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029181334","display_name":"Fengjia Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fengjia Zhang","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073849011","display_name":"Guoyi Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoyi Fu","raw_affiliation_strings":["Epson Research, Markham, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epson Research, Markham, Ontario, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086062267","display_name":"Jiajie Xu","orcid":"https://orcid.org/0000-0001-8227-8636"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiajie Xu","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5682489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9984999895095825,"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":0.7828330993652344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6527433395385742},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5707269310951233},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5652628540992737},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5541837215423584},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5417433977127075},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5078282952308655},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5074765086174011},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4989440441131592},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4566776156425476},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4421650469303131},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4340290427207947},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4312880337238312},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4056519865989685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36982059478759766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13533079624176025}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828330993652344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6527433395385742},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5707269310951233},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5652628540992737},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5541837215423584},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5417433977127075},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5078282952308655},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5074765086174011},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4989440441131592},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4566776156425476},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4421650469303131},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4340290427207947},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4312880337238312},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4056519865989685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36982059478759766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13533079624176025},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48506.2021.9561523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W68733909","https://openalex.org/W1483870316","https://openalex.org/W1597254465","https://openalex.org/W1905829557","https://openalex.org/W1918878870","https://openalex.org/W2001022596","https://openalex.org/W2109255472","https://openalex.org/W2153388956","https://openalex.org/W2171740948","https://openalex.org/W2179352600","https://openalex.org/W2300779272","https://openalex.org/W2336968928","https://openalex.org/W2750215633","https://openalex.org/W2760112017","https://openalex.org/W2767981409","https://openalex.org/W2794739174","https://openalex.org/W2807633959","https://openalex.org/W2883199361","https://openalex.org/W2886851716","https://openalex.org/W2887240211","https://openalex.org/W2899479761","https://openalex.org/W2902873058","https://openalex.org/W2951234442","https://openalex.org/W2962960377","https://openalex.org/W2963037989","https://openalex.org/W2963045776","https://openalex.org/W2963150697","https://openalex.org/W2963201472","https://openalex.org/W2963316641","https://openalex.org/W2963488291","https://openalex.org/W2963549785","https://openalex.org/W2963591054","https://openalex.org/W2963665412","https://openalex.org/W2963706662","https://openalex.org/W2963756608","https://openalex.org/W2963867516","https://openalex.org/W2964014680","https://openalex.org/W2968373168","https://openalex.org/W2969202876","https://openalex.org/W2969300145","https://openalex.org/W2972998376","https://openalex.org/W2980467688","https://openalex.org/W2982763192","https://openalex.org/W2986197551","https://openalex.org/W2986701260","https://openalex.org/W2990946490","https://openalex.org/W2991593752","https://openalex.org/W2996849311","https://openalex.org/W2998293366","https://openalex.org/W3003576934","https://openalex.org/W3034986117","https://openalex.org/W3106250896","https://openalex.org/W4288106818","https://openalex.org/W4394663867","https://openalex.org/W6628973269","https://openalex.org/W6676338569","https://openalex.org/W6685261749","https://openalex.org/W6697658144","https://openalex.org/W6735463952","https://openalex.org/W6746200908","https://openalex.org/W6752670383","https://openalex.org/W6754164750","https://openalex.org/W6754969897","https://openalex.org/W6755789610","https://openalex.org/W6756174191","https://openalex.org/W6757984240","https://openalex.org/W6766261854","https://openalex.org/W6767276508","https://openalex.org/W6769922776","https://openalex.org/W6773019456","https://openalex.org/W6785652829","https://openalex.org/W6864335059"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Depth":[0],"completion":[1],"aims":[2],"at":[3],"inferring":[4],"a":[5,64],"dense":[6],"depth":[7,11,34,45,83,110],"image":[8,39],"from":[9],"sparse":[10],"measurement":[12],"since":[13],"glossy,":[14],"transparent":[15],"or":[16,53],"distant":[17],"surface":[18],"cannot":[19],"be":[20],"scanned":[21],"properly":[22],"by":[23,118,128],"the":[24,32,42,87,98,109,114,133,159,164],"sensor.":[25],"Most":[26],"of":[27,56,116,167],"existing":[28],"methods":[29],"directly":[30],"interpolate":[31],"missing":[33],"measurements":[35],"based":[36],"on":[37,138],"pixel-wise":[38],"content":[40],"and":[41,89,104,112,121,140,162],"corresponding":[43],"neighboring":[44],"values.":[46],"Consequently,":[47],"this":[48],"leads":[49],"to":[50,75,95,97,131],"blurred":[51],"boundaries":[52],"inaccurate":[54],"structure":[55,105],"object.":[57],"To":[58],"address":[59],"these":[60],"problems,":[61],"we":[62],"propose":[63],"novel":[65],"self-guided":[66,73],"instance-aware":[67,119],"network":[68,93],"(SG-IANet)":[69],"that:":[70],"(1)":[71],"utilize":[72],"mechanism":[74],"extract":[76],"instance-level":[77],"features":[78],"that":[79,145],"is":[80],"needed":[81],"for":[82,101],"restoration,":[84],"(2)":[85],"exploit":[86],"geometric":[88],"context":[90],"information":[91],"into":[92,158],"learning":[94],"conform":[96],"underlying":[99],"constraints":[100],"edge":[102],"clarity":[103],"consistency,":[106],"(3)":[107],"regularize":[108],"estimation":[111],"mitigate":[113],"impact":[115],"noise":[117],"learning,":[120],"(4)":[122],"train":[123],"with":[124],"synthetic":[125,139],"data":[126],"only":[127],"domain":[129],"randomization":[130],"bridge":[132],"reality":[134],"gap.":[135],"Extensive":[136],"experiments":[137],"real":[141],"world":[142],"dataset":[143],"demonstrate":[144,163],"our":[146,168],"proposed":[147,160],"method":[148,161],"outperforms":[149],"previous":[150],"works.":[151],"Further":[152],"ablation":[153],"studies":[154],"give":[155],"more":[156],"insights":[157],"generalization":[165],"capability":[166],"model.":[169]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
