{"id":"https://openalex.org/W4387968238","doi":"https://doi.org/10.1145/3581783.3612158","title":"Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge","display_name":"Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968238","doi":"https://doi.org/10.1145/3581783.3612158"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612158","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5091078648","display_name":"Jingzong Li","orcid":"https://orcid.org/0000-0002-2519-2550"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jingzong LI","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041547079","display_name":"Yik Hong Cai","orcid":"https://orcid.org/0009-0006-9492-8513"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yik Hong Cai","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644188","display_name":"Libin Liu","orcid":"https://orcid.org/0000-0002-2718-8483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Libin Liu","raw_affiliation_strings":["Zhongguancun Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059860033","display_name":"Yu Mao","orcid":"https://orcid.org/0000-0001-9803-4927"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Mao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101441768","display_name":"Chun Jason Xue","orcid":"https://orcid.org/0000-0002-6431-9868"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chun Jason Xue","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022420830","display_name":"Hong Xu","orcid":"https://orcid.org/0000-0002-9359-9571"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hong Xu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091078648"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.4776,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65692211,"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":"9012","last_page":"9021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8231567144393921},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6714619398117065},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6383869647979736},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5608197450637817},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5504563450813293},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4970257580280304},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.49630624055862427},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.49040937423706055},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4795351028442383},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4724443554878235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4439544677734375},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4349893033504486},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4164714515209198},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36834514141082764},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32332128286361694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12976250052452087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.12407320737838745},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10291308164596558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8231567144393921},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6714619398117065},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6383869647979736},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5608197450637817},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5504563450813293},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4970257580280304},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.49630624055862427},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.49040937423706055},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4795351028442383},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4724443554878235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4439544677734375},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4349893033504486},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4164714515209198},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36834514141082764},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32332128286361694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12976250052452087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.12407320737838745},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10291308164596558},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612158","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1495595508","display_name":null,"funder_award_id":"5501329","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G2954701993","display_name":null,"funder_award_id":"ZR2022","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5248485515","display_name":null,"funder_award_id":"5501517","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G724254475","display_name":null,"funder_award_id":"ZR2022QF070","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7255282877","display_name":null,"funder_award_id":"4937007","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G8059028106","display_name":null,"funder_award_id":"4937008","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W616265588","https://openalex.org/W1885185971","https://openalex.org/W2085261163","https://openalex.org/W2094756095","https://openalex.org/W2150066425","https://openalex.org/W2252355370","https://openalex.org/W2468368736","https://openalex.org/W2507174453","https://openalex.org/W2555618208","https://openalex.org/W2560544142","https://openalex.org/W2565125333","https://openalex.org/W2872933037","https://openalex.org/W2892952080","https://openalex.org/W2911486422","https://openalex.org/W2949708697","https://openalex.org/W2954174912","https://openalex.org/W2963122961","https://openalex.org/W2963363373","https://openalex.org/W2963727135","https://openalex.org/W2964062501","https://openalex.org/W2968296999","https://openalex.org/W2987014658","https://openalex.org/W3004237909","https://openalex.org/W3022536434","https://openalex.org/W3034270904","https://openalex.org/W3034314779","https://openalex.org/W3035461736","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3104218139","https://openalex.org/W3130463448","https://openalex.org/W3147954149","https://openalex.org/W3159727696","https://openalex.org/W3163859203","https://openalex.org/W3169690993","https://openalex.org/W3173668541","https://openalex.org/W3176287975","https://openalex.org/W3191321386","https://openalex.org/W3212832037","https://openalex.org/W4236099117","https://openalex.org/W4313149358","https://openalex.org/W4386243286","https://openalex.org/W6950310954"],"related_works":["https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"3D":[0,45,101,131,144,159],"object":[1],"detection":[2,46,98,140],"plays":[3],"a":[4,110,124,149],"pivotal":[5],"role":[6],"in":[7,162],"many":[8],"applications,":[9],"most":[10],"notably":[11],"autonomous":[12,179],"driving":[13,180],"and":[14,30,86,117,135],"robotics.":[15],"These":[16],"applications":[17],"are":[18],"commonly":[19],"deployed":[20],"on":[21,47,138,173],"edge":[22,49,84],"devices":[23,85],"to":[24,43,60,68,99,156,165,187],"promptly":[25],"interact":[26],"with":[27,177,191],"the":[28,48,61,69,80,92,115,158,163,167,198],"environment,":[29],"often":[31],"require":[32],"near":[33],"real-time":[34],"response.":[35],"With":[36],"limited":[37],"computation":[38],"power,":[39],"it":[40],"is":[41],"challenging":[42],"execute":[44],"using":[50],"highly":[51],"complex":[52],"neural":[53],"networks.":[54],"Common":[55],"approaches":[56],"such":[57],"as":[58],"offloading":[59,151],"cloud":[62,74,164],"induce":[63],"significant":[64],"latency":[65,189],"overheads":[66],"due":[67],"large":[70],"amount":[71],"of":[72,94,119,197],"point":[73],"data":[75],"during":[76],"transmission.":[77],"To":[78,104],"resolve":[79],"tension":[81],"between":[82],"wimpy":[83],"compute-intensive":[87],"inference":[88],"workloads,":[89],"we":[90,107,147],"explore":[91],"possibility":[93],"empowering":[95],"fast":[96],"2D":[97,139],"extrapolate":[100],"bounding":[102,132],"boxes.":[103],"this":[105],"end,":[106],"present":[108],"Moby,":[109],"novel":[111],"system":[112],"that":[113,129,153,183],"demonstrates":[114],"feasibility":[116],"potential":[118],"our":[120],"approach.":[121],"We":[122],"design":[123],"transformation":[125],"pipeline":[126],"for":[127],"Moby":[128,184],"generates":[130],"boxes":[133],"efficiently":[134],"accurately":[136],"based":[137],"results":[141],"without":[142],"running":[143],"detectors.":[145],"Further,":[146],"devise":[148],"frame":[150],"scheduler":[152],"decides":[154],"when":[155],"launch":[157],"detector":[160],"judiciously":[161],"avoid":[166],"errors":[168],"from":[169],"accumulating.":[170],"Extensive":[171],"evaluations":[172],"NVIDIA":[174],"Jetson":[175],"TX2":[176],"real-world":[178],"datasets":[181],"demonstrate":[182],"offers":[185],"up":[186],"91.9%":[188],"improvement":[190],"modest":[192],"accuracy":[193],"loss":[194],"over":[195],"state":[196],"art.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}