{"id":"https://openalex.org/W4383200222","doi":"https://doi.org/10.1109/tcsvt.2023.3292398","title":"Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion","display_name":"Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4383200222","doi":"https://doi.org/10.1109/tcsvt.2023.3292398"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3292398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3292398","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5100374840","display_name":"Yufei Wang","orcid":"https://orcid.org/0000-0003-3016-6389"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Wang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015118","display_name":"Yuxin Mao","orcid":"https://orcid.org/0000-0002-2837-2290"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Mao","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408483","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0002-4974-1518"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036202579","display_name":"Yuchao Dai","orcid":"https://orcid.org/0000-0002-4432-7406"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Dai","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4432-7406","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4701,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91106073,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"34","issue":"2","first_page":"1186","last_page":"1198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9980000257492065,"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":0.9947999715805054,"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/rgb-color-model","display_name":"RGB color model","score":0.6905378699302673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678501307964325},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.662718653678894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5508570075035095},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5370364189147949},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.523209810256958},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.4803417921066284},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4440236985683441},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4370631277561188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39690864086151123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35394662618637085},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3385465741157532}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6905378699302673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678501307964325},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.662718653678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508570075035095},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5370364189147949},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.523209810256958},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4803417921066284},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4440236985683441},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4370631277561188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39690864086151123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35394662618637085},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3385465741157532},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3292398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3292398","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3766433509","display_name":null,"funder_award_id":"62271410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6120184083","display_name":null,"funder_award_id":"61901387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W125693051","https://openalex.org/W933200379","https://openalex.org/W1901129140","https://openalex.org/W1966025376","https://openalex.org/W1987648924","https://openalex.org/W1993713494","https://openalex.org/W2039298799","https://openalex.org/W2125188192","https://openalex.org/W2150066425","https://openalex.org/W2153388956","https://openalex.org/W2194775991","https://openalex.org/W2254462240","https://openalex.org/W2331143823","https://openalex.org/W2337078182","https://openalex.org/W2520953340","https://openalex.org/W2535547924","https://openalex.org/W2601564443","https://openalex.org/W2886851716","https://openalex.org/W2895230054","https://openalex.org/W2907260333","https://openalex.org/W2953901595","https://openalex.org/W2963045776","https://openalex.org/W2963420686","https://openalex.org/W2963867516","https://openalex.org/W2963870605","https://openalex.org/W2964326562","https://openalex.org/W2969202876","https://openalex.org/W2980467688","https://openalex.org/W2986701260","https://openalex.org/W2992464978","https://openalex.org/W2997891449","https://openalex.org/W2998031326","https://openalex.org/W3034421924","https://openalex.org/W3054961186","https://openalex.org/W3080631149","https://openalex.org/W3091564232","https://openalex.org/W3102327032","https://openalex.org/W3109128945","https://openalex.org/W3109269658","https://openalex.org/W3110653837","https://openalex.org/W3165495321","https://openalex.org/W3175561084","https://openalex.org/W3181848549","https://openalex.org/W3185043317","https://openalex.org/W3186033197","https://openalex.org/W3189360099","https://openalex.org/W3206335707","https://openalex.org/W3212645988","https://openalex.org/W4214668176","https://openalex.org/W4221146773","https://openalex.org/W4225592318","https://openalex.org/W4225987522","https://openalex.org/W4283799454","https://openalex.org/W4283814658","https://openalex.org/W4287204411","https://openalex.org/W4297775537","https://openalex.org/W4312628922","https://openalex.org/W6716109767","https://openalex.org/W6737664043","https://openalex.org/W6767312599","https://openalex.org/W6784930956","https://openalex.org/W6840571137"],"related_works":["https://openalex.org/W2059299633","https://openalex.org/W2760085659","https://openalex.org/W2732542196","https://openalex.org/W2940661641","https://openalex.org/W2940977206","https://openalex.org/W2995914718","https://openalex.org/W2546942002","https://openalex.org/W3156786002","https://openalex.org/W2977314777","https://openalex.org/W2767651786"],"abstract_inverted_index":{"RGB-guided":[0],"depth":[1,7,11,46],"completion":[2],"aims":[3],"at":[4,98,206],"predicting":[5],"dense":[6],"maps":[8],"from":[9,41],"sparse":[10],"measurements":[12],"and":[13,21,68,119,137,158,165,197,200,228],"corresponding":[14],"RGB":[15,42],"images,":[16],"where":[17],"how":[18],"to":[19,44,51,84],"effectively":[20],"efficiently":[22],"exploit":[23],"the":[24,58,72,86,104,130,134,148,169,175,185,194,203,207,218],"multi-modal":[25,239],"information":[26],"is":[27,77],"a":[28,91],"key":[29],"issue.":[30],"Guided":[31],"dynamic":[32,88,153],"filters,":[33],"which":[34,128],"generate":[35],"spatially-variant":[36],"depth-wise":[37],"separable":[38],"convolutional":[39],"filters":[40,61,89,131,144,154],"features":[43],"guide":[45],"features,":[47],"have":[48],"been":[49],"proven":[50],"be":[52,230],"effective":[53],"in":[54,237],"this":[55,80],"task.":[56],"However,":[57],"dynamically":[59],"generated":[60],"require":[62],"massive":[63],"model":[64,163],"parameters,":[65],"computational":[66],"costs":[67],"memory":[69],"footprints":[70],"when":[71],"number":[73,176],"of":[74,151,177,209],"feature":[75,178,234],"channels":[76],"large.":[78],"In":[79,221],"paper,":[81],"we":[82,107],"propose":[83],"decompose":[85,129],"guided":[87,152],"into":[90],"spatially-shared":[92],"component":[93],"multiplied":[94],"by":[95,132],"content-adaptive":[96],"adaptors":[97,171],"each":[99],"spatial":[100],"location.":[101],"Based":[102],"on":[103,193,202,217],"proposed":[105,224],"idea,":[106],"introduce":[108],"two":[109],"decomposition":[110],"schemes":[111,189],"<inline-formula":[112,120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113,121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[114,122],"<tex-math":[115,123],"notation=\"LaTeX\">$\\mathcal":[116,124],"{A}$":[117],"</tex-math></inline-formula>":[118,126],"{B}$":[125],",":[127],"splitting":[133],"filter":[135],"structure":[136],"using":[138,187],"spatial-wise":[139],"attention,":[140],"respectively.":[141],"The":[142],"decomposed":[143],"not":[145],"only":[146],"maintain":[147],"favorable":[149],"properties":[150],"as":[155,168,232,243],"being":[156],"content-dependent":[157],"spatially-variant,":[159],"but":[160],"also":[161,213],"reduce":[162],"parameters":[164],"hardware":[166],"costs,":[167],"learned":[170],"are":[172,226],"decoupled":[173],"with":[174],"channels.":[179],"Extensive":[180],"experimental":[181],"results":[182],"demonstrate":[183],"that":[184],"methods":[186,192,225],"our":[188,223],"outperform":[190],"state-of-the-art":[191],"KITTI":[195,204],"dataset,":[196],"rank":[198],"1st":[199],"2nd":[201],"benchmark":[205],"time":[208],"submission.":[210],"Meanwhile,":[211],"they":[212],"achieve":[214],"comparable":[215],"performance":[216],"NYUv2":[219],"dataset.":[220],"addition,":[222],"general":[227],"could":[229],"employed":[231],"plug-and-play":[233],"fusion":[235,240],"blocks":[236],"other":[238],"tasks":[241],"such":[242],"RGB-D":[244],"salient":[245],"object":[246],"detection.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}