{"id":"https://openalex.org/W4405785036","doi":"https://doi.org/10.1109/iros58592.2024.10802862","title":"NRDF - Neural Region Descriptor Fields as Implicit ROI Representation for Robotic 3D Surface Processing","display_name":"NRDF - Neural Region Descriptor Fields as Implicit ROI Representation for Robotic 3D Surface Processing","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785036","doi":"https://doi.org/10.1109/iros58592.2024.10802862"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5044326979","display_name":"Anish Pratheepkumar","orcid":"https://orcid.org/0000-0002-2055-1104"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Anish Pratheepkumar","raw_affiliation_strings":["Profactor Gmbh,Steyr-Gleink,Austria,4407"],"affiliations":[{"raw_affiliation_string":"Profactor Gmbh,Steyr-Gleink,Austria,4407","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054546350","display_name":"Markus Ikeda","orcid":"https://orcid.org/0000-0001-6754-5783"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Ikeda","raw_affiliation_strings":["Profactor Gmbh,Steyr-Gleink,Austria,4407"],"affiliations":[{"raw_affiliation_string":"Profactor Gmbh,Steyr-Gleink,Austria,4407","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764190","display_name":"Michael Hofmann","orcid":"https://orcid.org/0000-0003-2321-2543"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Hofmann","raw_affiliation_strings":["Profactor Gmbh,Steyr-Gleink,Austria,4407"],"affiliations":[{"raw_affiliation_string":"Profactor Gmbh,Steyr-Gleink,Austria,4407","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093020809","display_name":"Fabian Widmoser","orcid":"https://orcid.org/0000-0002-3042-5582"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Fabian Widmoser","raw_affiliation_strings":["Profactor Gmbh,Steyr-Gleink,Austria,4407"],"affiliations":[{"raw_affiliation_string":"Profactor Gmbh,Steyr-Gleink,Austria,4407","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036281940","display_name":"Andreas Pichler","orcid":"https://orcid.org/0000-0003-4312-2369"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Pichler","raw_affiliation_strings":["Profactor Gmbh,Steyr-Gleink,Austria,4407"],"affiliations":[{"raw_affiliation_string":"Profactor Gmbh,Steyr-Gleink,Austria,4407","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006321297","display_name":"Markus Vincze","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Vincze","raw_affiliation_strings":["Vision for Robotics Laboratory, Automation and Control Institute, TU Wien,Vienna,Austria,1040"],"affiliations":[{"raw_affiliation_string":"Vision for Robotics Laboratory, Automation and Control Institute, TU Wien,Vienna,Austria,1040","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044326979"],"corresponding_institution_ids":["https://openalex.org/I4210132502"],"apc_list":null,"apc_paid":null,"fwci":1.7699,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86974434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"12955","last_page":"12962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9908000230789185,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9908000230789185,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9629999995231628,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9564999938011169,"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/computer-science","display_name":"Computer science","score":0.6948907375335693},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6232004165649414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6225908994674683},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5252582430839539},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5043462514877319},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4815671443939209},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17035454511642456},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07803115248680115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948907375335693},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6232004165649414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225908994674683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5252582430839539},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5043462514877319},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4815671443939209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17035454511642456},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07803115248680115},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10802862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1740240423","https://openalex.org/W1994365346","https://openalex.org/W2031760064","https://openalex.org/W2053503921","https://openalex.org/W2098013375","https://openalex.org/W2114032470","https://openalex.org/W2136376495","https://openalex.org/W2166283483","https://openalex.org/W2194775991","https://openalex.org/W2508554746","https://openalex.org/W2560722161","https://openalex.org/W2563640733","https://openalex.org/W2778967861","https://openalex.org/W2889668339","https://openalex.org/W2899345235","https://openalex.org/W2963926543","https://openalex.org/W2968744730","https://openalex.org/W2989673842","https://openalex.org/W2997088169","https://openalex.org/W3034572187","https://openalex.org/W3112108866","https://openalex.org/W3157327332","https://openalex.org/W3206191420","https://openalex.org/W3215773990","https://openalex.org/W4241422529","https://openalex.org/W4256349625","https://openalex.org/W4285102336","https://openalex.org/W4312344409","https://openalex.org/W4313148744","https://openalex.org/W4313172689","https://openalex.org/W4313427342","https://openalex.org/W4318472814","https://openalex.org/W4318830078","https://openalex.org/W4383109043","https://openalex.org/W4383503818","https://openalex.org/W4385766874","https://openalex.org/W4389666220","https://openalex.org/W4391559340","https://openalex.org/W6687484953","https://openalex.org/W6752823625","https://openalex.org/W6763422710","https://openalex.org/W6784313998","https://openalex.org/W6784966207"],"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":{"To":[0,30],"automate":[1],"3D":[2,45,85,114],"surface":[3,46,115,173],"processing":[4,174],"across":[5],"diverse":[6],"category-level":[7],"objects":[8],"it":[9],"is":[10,20,53,119,178],"imperative":[11],"to":[12,73,128,154],"represent":[13],"process-related":[14],"region":[15,47],"of":[16,59,63,131,165],"interest":[17],"(P-ROI),":[18],"which":[19,95],"not":[21],"obtained":[22],"with":[23],"conventional":[24],"keypoint":[25,91],"or":[26,92],"semantic":[27],"part":[28,93],"correspondences.":[29],"resolve":[31],"this":[32,126],"issue,":[33],"we":[34,161],"propose":[35],"Neural":[36],"Region":[37],"Descriptor":[38],"Fields":[39],"(NRDF)":[40],"for":[41,55,113,121],"achieving":[42],"unsupervised":[43],"dense":[44,144],"correspondence":[48,145],"such":[49],"that":[50,138],"arbitrary":[51,157],"ROI":[52],"retrieved":[54],"a":[56,60,71,170],"new":[57],"instance":[58],"known":[61],"category":[62],"object.":[64],"We":[65],"utilize":[66],"the":[67,122,129,139,143,152,163],"NRDF":[68],"representation":[69,150],"as":[70],"medium":[72],"facilitate":[74],"one-shot":[75,107],"P-ROI":[76,108],"level":[77],"process":[78,116],"knowledge":[79,117],"transfer.":[80],"Recent":[81],"developments":[82],"in":[83,98,125,147,169],"implicit":[84,148],"object":[86],"representations":[87],"have":[88,96],"focused":[89],"on":[90],"correspondences,":[94],"resulted":[97],"applications":[99],"like":[100],"robotic":[101,172],"grasping":[102],"and":[103,110,151],"manipulation.":[104],"However,":[105],"explicit":[106],"correspondence,":[109],"its":[111],"application":[112],"transfer,":[118],"treated":[120],"first":[123],"time":[124],"work,":[127],"best":[130],"our":[132,166],"knowledge.":[133],"The":[134],"evaluation":[135],"results":[136],"show":[137],"proposed":[140,167],"approach":[141],"outperforms":[142],"baselines":[146],"shape":[149],"capacity":[153],"retrieve":[155],"matching":[156],"ROIs.":[158],"In":[159],"addition,":[160],"validate":[162],"practicality":[164],"system":[168],"real-world":[171],"application.":[175],"Our":[176],"code":[177],"available":[179],"at":[180],"https://github.com/Profactor/Neural-Region-Descriptor-Fields.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
