{"id":"https://openalex.org/W4225300641","doi":"https://doi.org/10.1109/icassp43922.2022.9747825","title":"Rangeinet: Fast Lidar Point Cloud Temporal Interpolation","display_name":"Rangeinet: Fast Lidar Point Cloud Temporal Interpolation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225300641","doi":"https://doi.org/10.1109/icassp43922.2022.9747825"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747825","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5021558189","display_name":"Lili Zhao","orcid":"https://orcid.org/0000-0002-5182-7230"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Zhao","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052345141","display_name":"Xuhu Lin","orcid":"https://orcid.org/0000-0003-4275-6175"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhu Lin","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354895","display_name":"Wenyi Wang","orcid":"https://orcid.org/0000-0003-1619-0294"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059248438","display_name":"Kai\u2010Kuang Ma","orcid":"https://orcid.org/0000-0003-2932-5709"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kai-Kuang Ma","raw_affiliation_strings":["Nanyang Technological University,Singapore","Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689467","display_name":"Jianwen Chen","orcid":"https://orcid.org/0000-0002-5987-148X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021558189"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.3598,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66112933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2584","last_page":"2588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9954000115394592,"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":0.7574548125267029},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7064574956893921},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7047484517097473},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.683443009853363},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6121362447738647},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5461385250091553},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5431226491928101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5262864232063293},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5085467100143433},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4724838137626648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42137789726257324},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.41935068368911743},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4186040759086609},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4185755252838135},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1928718388080597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14240112900733948},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08442077040672302},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08094698190689087},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06396496295928955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574548125267029},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7064574956893921},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7047484517097473},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.683443009853363},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6121362447738647},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5461385250091553},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5431226491928101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5262864232063293},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5085467100143433},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4724838137626648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42137789726257324},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.41935068368911743},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4186040759086609},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4185755252838135},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1928718388080597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14240112900733948},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08442077040672302},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08094698190689087},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06396496295928955},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747825","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2085305611","https://openalex.org/W2150066425","https://openalex.org/W2560722161","https://openalex.org/W2938970207","https://openalex.org/W2949258649","https://openalex.org/W2962771259","https://openalex.org/W2963093735","https://openalex.org/W2963155035","https://openalex.org/W3003437478","https://openalex.org/W3034264193","https://openalex.org/W3034896357","https://openalex.org/W3035239272","https://openalex.org/W3035574168","https://openalex.org/W3109944402","https://openalex.org/W3111283122","https://openalex.org/W3116580289","https://openalex.org/W3167769295","https://openalex.org/W3196027077","https://openalex.org/W3201672423","https://openalex.org/W4297772798","https://openalex.org/W6639824700","https://openalex.org/W6691096134","https://openalex.org/W6774186209","https://openalex.org/W6787218831","https://openalex.org/W6788016756"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2765526714"],"abstract_inverted_index":{"Due":[0],"to":[1,47,56,125,142],"the":[2,49,58,65,102,127,136,145,160],"low":[3,16],"scan":[4],"rate":[5,34,60],"of":[6,24,61,133],"LiDAR":[7,9,41,103,162],"sensors,":[8],"point":[10,42,62,104,163],"cloud":[11,43,105,164],"streams":[12],"usually":[13],"have":[14,150],"a":[15,94,117],"frame":[17,33,52,59,177],"rate,":[18],"which":[19,78,100],"is":[20,156],"far":[21],"below":[22],"that":[23,153],"other":[25],"sensors":[26],"such":[27],"as":[28],"cameras.":[29],"This":[30],"could":[31],"incur":[32],"mismatch":[35],"while":[36,171],"conducting":[37],"multi-sensor":[38],"data":[39],"fusion.":[40],"temporal":[44,146,165],"interpolation":[45,166,178],"aims":[46],"synthesize":[48],"non-existing":[50],"intermediate":[51],"between":[53],"input":[54],"frames":[55],"improve":[57],"clouds.":[63],"However,":[64],"existing":[66],"methods":[67,167],"heavily":[68],"depend":[69],"on":[70,168],"3D":[71,137],"scene":[72],"flow":[73,76],"or":[74,175],"2D":[75,110],"estimation,":[77],"yield":[79],"huge":[80],"computational":[81],"complexity":[82],"and":[83,96,130,135],"obstacles":[84],"in":[85],"real-time":[86],"applications.":[87],"To":[88],"resolve":[89],"this":[90],"issue,":[91],"we":[92,115],"propose":[93],"fast":[95],"non-flow":[97],"involved":[98],"method,":[99],"analyzes":[101],"by":[106],"exploiting":[107],"its":[108],"corresponding":[109],"range":[111],"images":[112],"(RIs).":[113],"Specifically,":[114],"develop":[116],"Siamese":[118],"context":[119,129],"extractor":[120],"containing":[121],"asymmetrical":[122],"convolution":[123],"kernels":[124],"learn":[126],"shape":[128],"spatial":[131],"feature":[132],"RIs,":[134],"space-time":[138],"convolutions":[139],"are":[140],"introduced":[141],"precisely":[143],"capture":[144],"characteristics.":[147],"Experimental":[148],"results":[149],"clearly":[151],"shown":[152],"our":[154],"method":[155],"much":[157],"faster":[158],"than":[159],"state-of-the-art":[161],"various":[169],"datasets,":[170],"delivering":[172],"either":[173],"comparable":[174],"superior":[176],"performance.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}