{"id":"https://openalex.org/W4406857328","doi":"https://doi.org/10.1109/tmm.2025.3535311","title":"DetailRecon: Focusing on Detailed Regions for Online Monocular 3D Reconstruction","display_name":"DetailRecon: Focusing on Detailed Regions for Online Monocular 3D Reconstruction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406857328","doi":"https://doi.org/10.1109/tmm.2025.3535311"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3535311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535311","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5063735097","display_name":"Fupeng Chu","orcid":"https://orcid.org/0000-0002-0164-5850"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fupeng Chu","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006477225","display_name":"Yang Cong","orcid":"https://orcid.org/0000-0002-5102-0189"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cong","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751683","display_name":"Yanmei Wang","orcid":"https://orcid.org/0000-0003-4018-0416"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmei Wang","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005126368","display_name":"Ronghan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghan Chen","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063735097"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01413217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"3266","last_page":"3278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9079999923706055,"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":0.9004999995231628,"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":0.828034520149231},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5115922093391418},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.47823184728622437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4750675857067108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4740676283836365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828034520149231},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5115922093391418},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.47823184728622437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4750675857067108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4740676283836365}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3535311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535311","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4487040938","display_name":null,"funder_award_id":"62127807","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6191170132","display_name":null,"funder_award_id":"62225310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8190209641","display_name":null,"funder_award_id":"62133005","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1878473396","https://openalex.org/W1989476314","https://openalex.org/W2003360641","https://openalex.org/W2041263154","https://openalex.org/W2111256709","https://openalex.org/W2112174119","https://openalex.org/W2139331573","https://openalex.org/W2167502305","https://openalex.org/W2210223044","https://openalex.org/W2519683295","https://openalex.org/W2594519801","https://openalex.org/W2611820369","https://openalex.org/W2745144057","https://openalex.org/W2885010430","https://openalex.org/W2962793285","https://openalex.org/W2963918968","https://openalex.org/W2964009301","https://openalex.org/W2983954598","https://openalex.org/W3034902964","https://openalex.org/W3049563456","https://openalex.org/W3081015685","https://openalex.org/W3088660655","https://openalex.org/W3089594064","https://openalex.org/W3109428934","https://openalex.org/W3121067950","https://openalex.org/W3152836822","https://openalex.org/W3166512471","https://openalex.org/W3172610252","https://openalex.org/W4200150166","https://openalex.org/W4226275183","https://openalex.org/W4226416753","https://openalex.org/W4230575152","https://openalex.org/W4285085025","https://openalex.org/W4312601813","https://openalex.org/W4323022503","https://openalex.org/W4382449534","https://openalex.org/W4386076194","https://openalex.org/W4390872491","https://openalex.org/W4390873309","https://openalex.org/W4390874076","https://openalex.org/W4390874620","https://openalex.org/W4394804926","https://openalex.org/W6640212811","https://openalex.org/W6685261749","https://openalex.org/W6758510812","https://openalex.org/W6784333009","https://openalex.org/W6798491912"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Learning-based":[0],"online":[1],"monocular":[2],"3D":[3],"reconstruction":[4],"has":[5],"emerged":[6],"with":[7,145,160],"great":[8],"potential":[9],"recently.":[10],"Most":[11],"state-of-the-art":[12],"methods":[13,41],"focus":[14,105],"on":[15,106,178,253],"two":[16],"key":[17],"questions,":[18],"namely":[19],"1)":[20,39,138],"how":[21,29],"to":[22,30,47,58,75,104,163,220,234],"exploit":[23,164],"accurate":[24,165,243],"voxel":[25,131,135],"features":[26,49,245],"and":[27,53,124,134,151,198,257],"2)":[28,63,168],"preserve":[31],"detailed":[32,84,107,196],"voxels":[33,77,176,181,194],"in":[34,78,195,241],"the":[35,43,79,172,179,189,254,261],"sparsification":[36,80],"process.":[37,81],"However,":[38,82],"most":[40],"adopt":[42],"same":[44],"receptive":[45,147,156],"field":[46,157],"extract":[48],"for":[50,130,158,246],"both":[51],"informative":[52],"uninformative":[54],"regions,":[55],"which":[56,186,239],"struggle":[57],"capture":[59],"geometric":[60,112,166],"details.":[61,167,249],"Furthermore,":[62],"they":[64],"mainly":[65],"utilize":[66],"a":[67,71,99,125,154,210,229],"fixed":[68],"threshold":[69],"or":[70],"straightforward":[72],"ray-based":[73],"algorithm":[74],"discard":[76],"some":[83],"regions":[85,108,159,197],"(especially":[86],"thin":[87],"regions)":[88],"may":[89],"be":[90],"discarded":[91],"incorrectly.":[92],"To":[93],"tackle":[94],"these":[95],"challenges,":[96],"we":[97,115,208,227],"present":[98],"novel":[100],"method":[101],"named":[102,215],"DetailRecon":[103],"that":[109],"contain":[110],"more":[111,248],"information.":[113],"Specifically,":[114],"first":[116],"propose":[117,228],"an":[118],"Adaptive":[119],"Hybrid":[120],"Fusion":[121],"(AHF)":[122],"module":[123,129],"Connectivity-Aware":[126],"Sparsification":[127],"(CAS)":[128],"feature":[132,143],"learning":[133],"sparsification,":[136],"respectively.":[137],"The":[139,169],"AHF":[140],"receives":[141],"multiple":[142],"maps":[144],"different":[146],"fields":[148],"as":[149],"input,":[150],"adaptively":[152],"adopts":[153],"smaller":[155],"fine":[161],"structures":[162],"CAS":[170],"updates":[171],"occupancy":[173],"value":[174],"of":[175,192,203,263],"based":[177],"connected":[180],"within":[182],"its":[183],"neighbor":[184],"space,":[185],"could":[187],"expand":[188],"radiation":[190],"range":[191],"reliable":[193],"eventually":[199],"reduce":[200],"their":[201],"probability":[202],"being":[204],"discarded.":[205],"Moreover,":[206],"3)":[207],"introduce":[209],"lightweight":[211],"yet":[212],"effective":[213],"pipeline":[214],"Focus":[216],"On":[217],"Fine":[218],"(FOF)":[219],"accelerate":[221],"our":[222,264],"DetailRecon.":[223,265],"In":[224],"addition,":[225],"4)":[226],"Hierarchical":[230],"Consistency":[231],"Loss":[232],"(HCL)":[233],"align":[235],"multi-level":[236],"volume":[237,244],"features,":[238],"assists":[240],"exploring":[242],"recovering":[247],"Extensive":[250],"experiments":[251],"conducted":[252],"ScanNet":[255],"(V2)":[256],"7-Scenes":[258],"datasets":[259],"demonstrate":[260],"superiority":[262]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}