{"id":"https://openalex.org/W4383960548","doi":"https://doi.org/10.1109/tpami.2023.3294355","title":"3D Point-Voxel Correlation Fields for Scene Flow Estimation","display_name":"3D Point-Voxel Correlation Fields for Scene Flow Estimation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383960548","doi":"https://doi.org/10.1109/tpami.2023.3294355","pmid":"https://pubmed.ncbi.nlm.nih.gov/37432799"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3294355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3294355","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100441382","display_name":"Ziyi Wang","orcid":"https://orcid.org/0000-0002-9007-1210"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyi Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339158","display_name":"Yi Wei","orcid":"https://orcid.org/0000-0002-9886-6851"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wei","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082694832","display_name":"Yongming Rao","orcid":"https://orcid.org/0000-0003-3952-8753"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Rao","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100441382"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.324,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82687781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"45","issue":"11","first_page":"1","last_page":"14"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947036981582642},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6315998435020447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6068382263183594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5919644236564636},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4852740466594696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4559829831123352},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4350701570510864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2564501166343689},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0971333384513855}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947036981582642},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6315998435020447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6068382263183594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5919644236564636},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4852740466594696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4559829831123352},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4350701570510864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2564501166343689},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0971333384513855}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3294355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3294355","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37432799","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37432799","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1522301498","https://openalex.org/W1808303360","https://openalex.org/W1921093919","https://openalex.org/W1993850091","https://openalex.org/W2017849585","https://openalex.org/W2024336175","https://openalex.org/W2087921381","https://openalex.org/W2088692258","https://openalex.org/W2119090229","https://openalex.org/W2129671742","https://openalex.org/W2161914072","https://openalex.org/W2168538937","https://openalex.org/W2211722331","https://openalex.org/W2259424905","https://openalex.org/W2286655030","https://openalex.org/W2548527721","https://openalex.org/W2556802233","https://openalex.org/W2560474170","https://openalex.org/W2560609797","https://openalex.org/W2563098792","https://openalex.org/W2624273542","https://openalex.org/W2737996100","https://openalex.org/W2769312834","https://openalex.org/W2788158258","https://openalex.org/W2898925193","https://openalex.org/W2904332125","https://openalex.org/W2949708697","https://openalex.org/W2954258401","https://openalex.org/W2962771259","https://openalex.org/W2962807143","https://openalex.org/W2962928871","https://openalex.org/W2963121255","https://openalex.org/W2963125977","https://openalex.org/W2963231572","https://openalex.org/W2963719584","https://openalex.org/W2963782415","https://openalex.org/W2964156315","https://openalex.org/W2969322483","https://openalex.org/W2971686478","https://openalex.org/W2979750740","https://openalex.org/W2988715931","https://openalex.org/W2990613095","https://openalex.org/W3034314779","https://openalex.org/W3034321406","https://openalex.org/W3034459762","https://openalex.org/W3034642839","https://openalex.org/W3034949383","https://openalex.org/W3035346742","https://openalex.org/W3035477606","https://openalex.org/W3097139398","https://openalex.org/W3106932526","https://openalex.org/W3109154950","https://openalex.org/W3109908659","https://openalex.org/W3162696321","https://openalex.org/W3171433839","https://openalex.org/W3175172372","https://openalex.org/W3175645231","https://openalex.org/W3175649884","https://openalex.org/W3178825327","https://openalex.org/W3201205318","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6687484953","https://openalex.org/W6739663239","https://openalex.org/W6739778489","https://openalex.org/W6755779118","https://openalex.org/W6763422710","https://openalex.org/W6765299845","https://openalex.org/W6795660205","https://openalex.org/W6801659397"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W1998563493","https://openalex.org/W2383143032","https://openalex.org/W2591986954"],"abstract_inverted_index":{"In":[0],"this":[1,95],"paper,":[2],"we":[3,97,123,152,174,207,249],"propose":[4,175,209],"Point-Voxel":[5,176],"Correlation":[6],"Fields":[7],"to":[8,34,49,72,108,157,164,188,197],"explore":[9],"relations":[10],"between":[11],"two":[12,170],"consecutive":[13],"point":[14,91,104,146,193],"clouds":[15,147],"and":[16,61,65,87,105,112,202,221,238,244],"estimate":[17,189],"scene":[18,140,190],"flow":[19,141,191,199],"that":[20,54,129,183,248],"represents":[21],"3D":[22,82],"motions.":[23],"Most":[24],"existing":[25],"works":[26],"only":[27],"consider":[28],"local":[29,58,111,135],"correlations,":[30,122,173],"which":[31,137,161],"are":[32,42,55,162],"able":[33],"handle":[35,165],"small":[36],"movements":[37],"but":[38],"fail":[39],"when":[40],"there":[41],"large":[43],"displacements.":[44],"Therefore,":[45],"it":[46,69],"is":[47,70],"essential":[48],"introduce":[50],"all-pair":[51,116],"correlation":[52,75,100,155],"volumes":[53],"free":[56],"from":[57,77,115,192],"neighbor":[59],"restrictions":[60],"cover":[62],"both":[63],"short-":[64],"long-term":[66],"dependencies.":[67],"However,":[68],"challenging":[71],"efficiently":[73],"extract":[74],"features":[76],"all-pairs":[78],"fields":[79,117],"in":[80,133,148],"the":[81,85,125,134,139,214,218,222,226,232,236],"space,":[83],"given":[84],"irregular":[86],"unordered":[88],"nature":[89],"of":[90,172],"clouds.":[92,194],"To":[93,119,195],"tackle":[94],"problem,":[96],"present":[98],"point-voxel":[99],"fields,":[101],"proposing":[102],"distinct":[103],"voxel":[106],"branches":[107],"inquire":[109],"about":[110],"long-range":[113,159],"correlations":[114],"respectively.":[118],"exploit":[120],"point-based":[121],"adopt":[124],"K-Nearest":[126],"Neighbors":[127],"search":[128],"preserves":[130],"fine-grained":[131,205],"information":[132],"region,":[136],"guarantees":[138],"estimation":[142],"precision.":[143],"By":[144],"voxelizing":[145],"a":[149],"multi-scale":[150],"manner,":[151],"construct":[153],"pyramid":[154],"voxels":[156],"model":[158],"correspondences,":[160],"utilized":[163],"fast-moving":[166],"objects.":[167],"Integrating":[168],"these":[169],"types":[171],"Recurrent":[177],"All-Pairs":[178],"Field":[179],"Transforms":[180],"(PV-RAFT)":[181],"architecture":[182],"employs":[184],"an":[185],"iterative":[186,227],"scheme":[187],"adapt":[196],"different":[198],"scope":[200],"conditions":[201],"obtain":[203],"more":[204],"results,":[206],"further":[208],"Deformable":[210],"PV-RAFT":[211],"(DPV-RAFT),":[212],"where":[213],"Spatial":[215],"Deformation":[216,224],"deforms":[217],"voxelized":[219],"neighborhood,":[220],"Temporal":[223],"controls":[225],"update":[228],"process.":[229],"We":[230],"evaluate":[231],"proposed":[233],"method":[234],"on":[235],"FlyingThings3D":[237],"KITTI":[239],"Scene":[240],"Flow":[241],"2015":[242],"datasets":[243],"experimental":[245],"results":[246],"show":[247],"outperform":[250],"state-of-the-art":[251],"methods":[252],"by":[253],"remarkable":[254],"margins.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
