{"id":"https://openalex.org/W4413924997","doi":"https://doi.org/10.1109/icra55743.2025.11127281","title":"Interactive4D: Interactive 4D LiDAR Segmentation","display_name":"Interactive4D: Interactive 4D LiDAR Segmentation","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413924997","doi":"https://doi.org/10.1109/icra55743.2025.11127281"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111397042","display_name":"Ilya Fradlin","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ilya Fradlin","raw_affiliation_strings":["RWTH Aachen University,Computer Vision Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Computer Vision Group,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073519983","display_name":"Idil Esen Zulfikar","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Idil Esen Zulfikar","raw_affiliation_strings":["RWTH Aachen University,Computer Vision Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Computer Vision Group,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045844841","display_name":"Kadir Y\u0131lmaz","orcid":"https://orcid.org/0000-0002-0819-3420"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kadir Yilmaz","raw_affiliation_strings":["RWTH Aachen University,Computer Vision Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Computer Vision Group,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090377887","display_name":"Theodora Kontogianni","orcid":"https://orcid.org/0000-0002-8754-8356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Theodora Kontogianni","raw_affiliation_strings":["ETH AI Center,Zürich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH AI Center,Zürich,Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071006649","display_name":"Bastian Leibe","orcid":"https://orcid.org/0000-0003-4225-0051"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bastian Leibe","raw_affiliation_strings":["RWTH Aachen University,Computer Vision Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Computer Vision Group,Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91452991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8329","last_page":"8336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.3197000026702881,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.3197000026702881,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.289000004529953,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.2671999931335449,"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/lidar","display_name":"Lidar","score":0.8063232898712158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453434228897095},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6126039028167725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4842676520347595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46752405166625977},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42929807305336},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35667943954467773},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34042268991470337}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8063232898712158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453434228897095},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6126039028167725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4842676520347595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46752405166625977},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42929807305336},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35667943954467773},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34042268991470337}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3574710255","display_name":null,"funder_award_id":"03ZU1106DA","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2300469113","https://openalex.org/W2594519801","https://openalex.org/W2798769484","https://openalex.org/W2904332125","https://openalex.org/W2948672349","https://openalex.org/W2962914239","https://openalex.org/W2963125977","https://openalex.org/W2991216808","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3096945436","https://openalex.org/W3116959466","https://openalex.org/W3129377622","https://openalex.org/W3132926949","https://openalex.org/W3168181468","https://openalex.org/W3168659596","https://openalex.org/W3174527233","https://openalex.org/W3177280664","https://openalex.org/W3193773166","https://openalex.org/W3198790326","https://openalex.org/W3203597819","https://openalex.org/W3207776935","https://openalex.org/W3211391682","https://openalex.org/W4205588343","https://openalex.org/W4288083516","https://openalex.org/W4307104049","https://openalex.org/W4312336332","https://openalex.org/W4312649925","https://openalex.org/W4312850715","https://openalex.org/W4315783786","https://openalex.org/W4320737012","https://openalex.org/W4382450230","https://openalex.org/W4383109306","https://openalex.org/W4387092538","https://openalex.org/W4387623947","https://openalex.org/W4389667072","https://openalex.org/W4390873051","https://openalex.org/W4390874575","https://openalex.org/W4390874674","https://openalex.org/W4401413704","https://openalex.org/W4402727367","https://openalex.org/W4405787473"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Interactive":[0],"segmentation":[1,64],"has":[2],"an":[3],"important":[4],"role":[5],"in":[6,75],"facilitating":[7],"the":[8,26,29,60,81,94,105,151,182],"annotation":[9],"process":[10,27],"of":[11,84,153],"future":[12],"LiDAR":[13,23,55,73,85,134,154,167],"datasets.":[14],"Existing":[15],"approaches":[16],"sequentially":[17],"segment":[18],"individual":[19],"objects":[20,52,69],"at":[21,186],"each":[22],"scan,":[24],"repeating":[25],"throughout":[28],"entire":[30,95],"sequence,":[31],"which":[32],"is":[33,147],"redundant":[34],"and":[35,58,116,160,184],"ineffective.":[36],"In":[37],"this":[38,138],"work,":[39],"we":[40,122,140,162],"propose":[41],"interactive":[42,62,89],"4D":[43,63,106],"segmentation,":[44,90],"a":[45,76,142,172,176],"new":[46,173],"paradigm":[47],"that":[48,66,124,146],"allows":[49],"segmenting":[50],"multiple":[51,54,68,166],"on":[53,70,104,133,165],"scans":[56,74],"simultaneously,":[57],"Interactive4D,":[59],"first":[61],"model":[65,92,131],"segments":[67],"superimposed":[71],"consecutive":[72],"single":[77],"iteration":[78],"by":[79,175],"utilizing":[80],"sequential":[82],"nature":[83],"data.":[86,155],"While":[87],"performing":[88],"our":[91],"leverages":[93],"spacetime":[96],"volume,":[97,107],"leading":[98],"to":[99],"more":[100],"efficient":[101],"segmentation.":[102],"Operating":[103],"it":[108],"directly":[109],"provides":[110],"consistent":[111],"instance":[112],"IDs":[113],"over":[114],"time":[115],"also":[117],"simplifies":[118],"tracking":[119],"annotations.":[120],"Moreover,":[121],"show":[123],"click":[125,143],"simulations":[126],"are":[127],"crucial":[128],"for":[129,150],"successful":[130],"training":[132],"point":[135],"clouds.":[136],"To":[137,156],"end,":[139],"design":[141],"simulation":[144],"strategy":[145],"better":[148],"suited":[149],"characteristics":[152],"demonstrate":[157],"its":[158],"accuracy":[159],"effectiveness,":[161],"evaluate":[163],"Interactive4D":[164,170],"datasets,":[168],"where":[169],"achieves":[171],"state-of-the-art":[174],"large":[177],"margin.":[178],"We":[179],"publicly":[180],"release":[181],"code":[183],"models":[185],"https://vision.rwth-aachen.de/Interactive4D.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}