{"id":"https://openalex.org/W3089532322","doi":"https://doi.org/10.1109/icra40945.2020.9197240","title":"A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations","display_name":"A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3089532322","doi":"https://doi.org/10.1109/icra40945.2020.9197240","mag":"3089532322"},"language":"en","primary_location":{"id":"doi:10.1109/icra40945.2020.9197240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5102634321","display_name":"Yan Di","orcid":null},"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":"Yan Di","raw_affiliation_strings":["Department of Automation & BNRist, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation & BNRist, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028113726","display_name":"Henrique Morimitsu","orcid":"https://orcid.org/0000-0001-9455-8571"},"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":"Henrique Morimitsu","raw_affiliation_strings":["Department of Automation & BNRist, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation & BNRist, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109592888","display_name":"Zhiqiang Lou","orcid":null},"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":"Zhiqiang Lou","raw_affiliation_strings":["Department of Automation & BNRist, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation & BNRist, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"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":"Xiangyang Ji","raw_affiliation_strings":["Department of Automation & BNRist, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation & BNRist, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10737","last_page":"10743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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":0.7229172587394714},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.7130100727081299},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6805075407028198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6776515245437622},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6530919075012207},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.5470529198646545},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4915045201778412},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4778130352497101},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.46578848361968994},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43556904792785645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26831111311912537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20037010312080383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18251273036003113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229172587394714},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.7130100727081299},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6805075407028198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6776515245437622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6530919075012207},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.5470529198646545},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4915045201778412},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4778130352497101},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.46578848361968994},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43556904792785645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26831111311912537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20037010312080383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18251273036003113},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra40945.2020.9197240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W55377555","https://openalex.org/W1513100184","https://openalex.org/W1992989752","https://openalex.org/W2015207482","https://openalex.org/W2033819227","https://openalex.org/W2050403968","https://openalex.org/W2060772243","https://openalex.org/W2061669523","https://openalex.org/W2085261163","https://openalex.org/W2097696373","https://openalex.org/W2103031616","https://openalex.org/W2115579991","https://openalex.org/W2118246710","https://openalex.org/W2150066425","https://openalex.org/W2150134683","https://openalex.org/W2171740948","https://openalex.org/W2340897893","https://openalex.org/W2397830550","https://openalex.org/W2427448504","https://openalex.org/W2520707372","https://openalex.org/W2560023338","https://openalex.org/W2609883120","https://openalex.org/W2738028674","https://openalex.org/W2739423245","https://openalex.org/W2779423082","https://openalex.org/W2890949887","https://openalex.org/W2897828525","https://openalex.org/W2951234442","https://openalex.org/W2963403249","https://openalex.org/W2963412495","https://openalex.org/W2963549785","https://openalex.org/W2963583471","https://openalex.org/W2963906250","https://openalex.org/W2963924401","https://openalex.org/W2971000934","https://openalex.org/W2987372617","https://openalex.org/W6658838613","https://openalex.org/W6685261749","https://openalex.org/W6712616374","https://openalex.org/W6767088534"],"related_works":["https://openalex.org/W4251504644","https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W2123437433","https://openalex.org/W2369285629","https://openalex.org/W3094179683","https://openalex.org/W2144496413","https://openalex.org/W2336873990","https://openalex.org/W2788440385"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2,135],"a":[3,136],"novel":[4],"framework":[5],"for":[6],"dense":[7],"piecewise":[8],"semantic":[9,87,141],"reconstruction":[10,115,130,147],"in":[11,79,105,129,143],"dynamic":[12,62,80],"scenes":[13],"containing":[14],"complex":[15],"background":[16],"and":[17,33,42,55,90,116],"moving":[18,77],"objects":[19,78],"via":[20],"exploiting":[21],"superpixel":[22,29,112],"relations.":[23,96],"We":[24,82],"utilize":[25],"two":[26],"kinds":[27],"of":[28,52,86],"relations:":[30],"motion":[31,91,110],"relations":[32,45,66,92],"spatial":[34,50,65,95],"relations,":[35],"each":[36],"having":[37],"three":[38],"subcategories:":[39],"coplanar,":[40],"hinge,":[41],"crack.":[43],"Spatial":[44],"provide":[46],"constraints":[47],"on":[48,120],"the":[49,84],"locations":[51],"neighboring":[53],"superpixels":[54],"thus":[56],"can":[57,67],"be":[58,69],"used":[59],"to":[60,76,93,139],"reconstruct":[61],"scenes.":[63,81],"However,":[64],"not":[68],"estimated":[70],"directly":[71],"with":[72],"epipolar":[73],"geometry":[74],"due":[75],"synthesize":[83],"results":[85],"instance":[88],"segmentation":[89],"estimate":[94],"Given":[97],"consecutive":[98],"frames,":[99],"we":[100],"mainly":[101],"develop":[102],"our":[103,125,133],"method":[104,126,134],"five":[106],"main":[107],"stages:":[108],"preprocessing,":[109],"estimation,":[111],"relation":[113],"analysis,":[114],"refinement.":[117],"Extensive":[118],"experiments":[119],"various":[121],"datasets":[122],"demonstrate":[123],"that":[124],"outperforms":[127],"competitors":[128],"quality.":[131],"Furthermore,":[132],"feasible":[137],"way":[138],"incorporate":[140],"information":[142],"Structure-from-Motion":[144],"(SFM)":[145],"based":[146],"pipelines.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}