{"id":"https://openalex.org/W1956571368","doi":"https://doi.org/10.1109/cvpr.2015.7298837","title":"Sparse depth super resolution","display_name":"Sparse depth super resolution","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1956571368","doi":"https://doi.org/10.1109/cvpr.2015.7298837","mag":"1956571368"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5103139695","display_name":"Jiajun Lu","orcid":"https://orcid.org/0009-0004-3599-5973"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiajun Lu","raw_affiliation_strings":["University of Illinois at Urbana Champaign","University of Illinois at Urbana\u2013Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010851725","display_name":"David Forsyth","orcid":"https://orcid.org/0000-0002-2278-0752"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Forsyth","raw_affiliation_strings":["University of Illinois at Urbana Champaign","University of Illinois at Urbana\u2013Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103139695"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":6.9956,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97963217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2245","last_page":"2253"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6187464594841003},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45590537786483765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3348175287246704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187464594841003},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45590537786483765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3348175287246704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1513100184","https://openalex.org/W1872406745","https://openalex.org/W1981705310","https://openalex.org/W1982840500","https://openalex.org/W1999478155","https://openalex.org/W2001013292","https://openalex.org/W2008331211","https://openalex.org/W2008523386","https://openalex.org/W2026672030","https://openalex.org/W2030346542","https://openalex.org/W2030978325","https://openalex.org/W2049147138","https://openalex.org/W2074254947","https://openalex.org/W2097074225","https://openalex.org/W2099940712","https://openalex.org/W2100642335","https://openalex.org/W2101131403","https://openalex.org/W2101872283","https://openalex.org/W2104599718","https://openalex.org/W2104620097","https://openalex.org/W2104974755","https://openalex.org/W2109945199","https://openalex.org/W2110892967","https://openalex.org/W2116073066","https://openalex.org/W2131747574","https://openalex.org/W2150912629","https://openalex.org/W2153388956","https://openalex.org/W2155479981","https://openalex.org/W2160956336","https://openalex.org/W2166685675","https://openalex.org/W2171740948","https://openalex.org/W2187013655","https://openalex.org/W2534523274","https://openalex.org/W2951234442","https://openalex.org/W3100455090","https://openalex.org/W6630726011","https://openalex.org/W6650730882","https://openalex.org/W6676600194","https://openalex.org/W6677501092","https://openalex.org/W6678827375","https://openalex.org/W6684697157","https://openalex.org/W6685261749","https://openalex.org/W6686531747"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W3107474891","https://openalex.org/W2379250586","https://openalex.org/W2966235325","https://openalex.org/W2183268662"],"abstract_inverted_index":{"We":[0,125],"describe":[1],"a":[2,35,62],"method":[3,17,98,134],"to":[4,86,95],"produce":[5],"detailed":[6],"high":[7],"resolution":[8,37,83],"depth":[9,14,27,38,50,57,129,145],"maps":[10,130,146],"from":[11,71,84,147],"aggressively":[12],"subsampled":[13],"measurements.":[15],"Our":[16],"fully":[18],"uses":[19,30],"the":[20,46,119],"relationship":[21],"between":[22],"image":[23,32,42],"segmentation":[24],"boundaries":[25,28],"and":[26,105,113,123],"It":[29],"an":[31],"combined":[33],"with":[34,45],"low":[36],"map.":[39],"1)":[40],"The":[41,76,97],"is":[43,99],"segmented":[44],"guidance":[47],"of":[48,81,118],"sparse":[49],"samples":[51,70],"2)":[52],"Each":[53],"segment":[54],"has":[55],"its":[56],"field":[58],"reconstructed":[59],"independently":[60],"using":[61],"novel":[63],"smoothing":[64],"method.":[65],"3)":[66],"For":[67],"videos,":[68],"time-stamped":[69],"near":[72],"frames":[73],"are":[74],"incorporated.":[75],"paper":[77],"shows":[78],"reconstruction":[79],"results":[80],"super":[82],"x4":[85],"x100,":[87],"while":[88,144],"previous":[89],"methods":[90,121,149],"mainly":[91],"work":[92],"on":[93,101],"x2":[94],"xl6.":[96],"tested":[100],"four":[102],"different":[103,111],"datasets":[104],"six":[106],"video":[107],"sequences,":[108],"covering":[109],"quite":[110],"regimes,":[112],"it":[114],"outperforms":[115],"recent":[116],"state":[117],"art":[120],"quantitatively":[122],"qualitatively":[124],"also":[126],"demonstrate":[127],"that":[128],"produced":[131],"by":[132,138],"our":[133],"can":[135],"be":[136],"used":[137],"applications":[139],"such":[140],"as":[141],"hand":[142],"trackers,":[143],"other":[148],"have":[150],"problems.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
