{"id":"https://openalex.org/W4391305584","doi":"https://doi.org/10.1109/tcsvt.2024.3359190","title":"Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion","display_name":"Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion","publication_year":2024,"publication_date":"2024-01-29","ids":{"openalex":"https://openalex.org/W4391305584","doi":"https://doi.org/10.1109/tcsvt.2024.3359190"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3359190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3359190","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/A5057615949","display_name":"Shenglun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglun Chen","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-7990-3522","affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608341","display_name":"Hong Zhang","orcid":"https://orcid.org/0009-0002-6524-2572"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030101527","display_name":"Xinzhu Ma","orcid":"https://orcid.org/0000-0003-0504-0186"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhu Ma","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory (Shanghai AI Laboratory), Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory (Shanghai AI Laboratory), Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438119","display_name":"Zhihui Wang","orcid":"https://orcid.org/0000-0002-5011-9726"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wang","raw_affiliation_strings":["DUT-RU International School of Information Science and Engineering, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, China","DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-5011-9726","affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science and Engineering, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616471","display_name":"Haojie Li","orcid":"https://orcid.org/0000-0003-3882-2205"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Li","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-3882-2205","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8639,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90653349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"7","first_page":"6303","last_page":"6317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9925000071525574,"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":0.988099992275238,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6303002834320068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6271458864212036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082889437675476},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5135038495063782},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5019185543060303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45581358671188354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36528244614601135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2603002190589905}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6303002834320068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6271458864212036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082889437675476},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5135038495063782},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5019185543060303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45581358671188354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36528244614601135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2603002190589905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3359190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3359190","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/G2098762469","display_name":null,"funder_award_id":"U1908210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3333160614","display_name":null,"funder_award_id":"61976038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3636126384","display_name":null,"funder_award_id":"61932020","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2011316522","https://openalex.org/W2150066425","https://openalex.org/W2578797046","https://openalex.org/W2885093229","https://openalex.org/W2955189650","https://openalex.org/W2963045776","https://openalex.org/W2963488291","https://openalex.org/W2963867516","https://openalex.org/W2964242696","https://openalex.org/W2973110888","https://openalex.org/W2981561950","https://openalex.org/W2983735215","https://openalex.org/W3003796433","https://openalex.org/W3080631149","https://openalex.org/W3109047546","https://openalex.org/W3109128945","https://openalex.org/W3110653837","https://openalex.org/W3131500599","https://openalex.org/W3133630855","https://openalex.org/W3138516171","https://openalex.org/W3165495321","https://openalex.org/W3172573759","https://openalex.org/W3175561084","https://openalex.org/W3189360099","https://openalex.org/W3206335707","https://openalex.org/W3209412357","https://openalex.org/W4221146773","https://openalex.org/W4225949693","https://openalex.org/W4225987522","https://openalex.org/W4288273680","https://openalex.org/W4297845938","https://openalex.org/W4297847583","https://openalex.org/W4304091727","https://openalex.org/W4312245969","https://openalex.org/W4312628922","https://openalex.org/W4312734934","https://openalex.org/W4312793957","https://openalex.org/W4312980231","https://openalex.org/W4313151263","https://openalex.org/W4323767269","https://openalex.org/W4383200222","https://openalex.org/W4385245566","https://openalex.org/W4386076397","https://openalex.org/W4386524555","https://openalex.org/W4387623932","https://openalex.org/W4390872493","https://openalex.org/W6743759585","https://openalex.org/W6766947841","https://openalex.org/W6773019456","https://openalex.org/W6780507750","https://openalex.org/W6810661541","https://openalex.org/W6843355076"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2012837507","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2804364458","https://openalex.org/W2073639911"],"abstract_inverted_index":{"Depth":[0],"completion":[1,65],"is":[2,93],"a":[3,72,125],"long-standing":[4],"challenge":[5],"in":[6,16,55,145],"computer":[7],"vision,":[8],"where":[9],"classification-based":[10,22,215],"methods":[11,23,216],"have":[12],"made":[13],"tremendous":[14],"progress":[15],"recent":[17],"years.":[18],"However,":[19],"most":[20],"existing":[21],"rely":[24],"on":[25,80,209,217],"pre-defined":[26,154],"pixel-shared":[27,98,139],"and":[28,70,84,99,107,140,181,200,213],"discrete":[29,100],"depth":[30,33,42,49,53,64,86,101,114,120,128,132,136,150,155,163,171,175,183,192,202],"values":[31,43],"as":[32,130],"categories.":[34,156],"This":[35],"representation":[36,102],"fails":[37],"to":[38,46,52,94,103,123,153,177],"capture":[39],"the":[40,47,67,82,97,112,131,148,170,174,179,210,218],"continuous":[41,85,108,182,201],"that":[44,188],"conform":[45],"real":[48,113,149],"distribution,":[50],"leading":[51],"smearing":[54,193],"boundary":[56],"regions.":[57],"To":[58],"address":[59],"this":[60],"issue,":[61],"we":[62],"revisit":[63],"from":[66],"clustering":[68,122],"perspective":[69],"propose":[71],"novel":[73],"clustering-based":[74],"framework":[75],"called":[76],"CluDe":[77,92,117,158,189,205],"which":[78],"focuses":[79],"learning":[81],"pixel-wise":[83,106,180,199],"representation.":[87,133,184,203],"The":[88],"key":[89],"idea":[90],"of":[91,127,173],"iteratively":[95],"update":[96],"its":[104],"corresponding":[105],"counterpart,":[109],"driven":[110],"by":[111,197],"distribution.":[115],"Specifically,":[116],"first":[118],"utilizes":[119],"value":[121],"learn":[124],"set":[126],"centers":[129,137],"While":[134],"these":[135,162],"are":[138,143],"discrete,":[141],"they":[142],"more":[144],"line":[146],"with":[147],"distribution":[151,176],"compared":[152],"Then,":[157],"estimates":[159],"offsets":[160],"for":[161],"centers,":[164],"enabling":[165],"their":[166],"dynamic":[167],"adjustment":[168],"along":[169],"axis":[172],"generate":[178],"Extensive":[185],"experiments":[186],"demonstrate":[187],"successfully":[190],"reduces":[191],"around":[194],"object":[195],"boundaries":[196],"utilizing":[198],"Furthermore,":[204],"achieves":[206],"state-of-the-art":[207],"performance":[208],"VOID":[211],"datasets":[212],"outperforms":[214],"KITTI":[219],"dataset.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
