{"id":"https://openalex.org/W4402916985","doi":"https://doi.org/10.1109/icip51287.2024.10647570","title":"Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression","display_name":"Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916985","doi":"https://doi.org/10.1109/icip51287.2024.10647570"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647570","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5114859247","display_name":"Y Zhang","orcid":"https://orcid.org/0009-0004-8984-8477"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yutong Zhang","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689698","display_name":"Wenbo Zhao","orcid":"https://orcid.org/0000-0002-5517-1304"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Zhao","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007227942","display_name":"Daxin Li","orcid":"https://orcid.org/0009-0001-6886-3342"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxin Li","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114859247"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18233107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"3519","last_page":"3525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9509000182151794,"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/lossless-compression","display_name":"Lossless compression","score":0.8303488492965698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.600588321685791},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5897544026374817},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5612368583679199},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.42117583751678467},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4142371118068695},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3733283579349518},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17820098996162415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1618025004863739},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1456104815006256},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11210986971855164}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8303488492965698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600588321685791},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5897544026374817},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5612368583679199},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.42117583751678467},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4142371118068695},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3733283579349518},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17820098996162415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1618025004863739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1456104815006256},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11210986971855164},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647570","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2074954154","https://openalex.org/W2134076294","https://openalex.org/W2167724667","https://openalex.org/W2905544027","https://openalex.org/W2941750291","https://openalex.org/W2963926543","https://openalex.org/W2982170926","https://openalex.org/W3014200484","https://openalex.org/W3035428054","https://openalex.org/W3129486620","https://openalex.org/W3147959344","https://openalex.org/W3175145712","https://openalex.org/W3179630053","https://openalex.org/W4221156617","https://openalex.org/W6762734943","https://openalex.org/W6763422710","https://openalex.org/W6785392533"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2057878850","https://openalex.org/W1513042817","https://openalex.org/W2096000848"],"abstract_inverted_index":{"Learning-based":[0],"point":[1,34,47,70,106],"cloud":[2,48,107],"compression":[3,137],"has":[4],"achieved":[5],"tremendous":[6],"progress":[7],"in":[8,26,117,144],"recent":[9],"years.":[10],"However,":[11],"existing":[12],"methods":[13],"often":[14],"train":[15,24],"an":[16,27],"optimal":[17],"occupancy":[18,60],"distribution":[19],"predictor":[20],"for":[21],"the":[22,45,91,95,105,114,128,131,136],"entire":[23],"dataset":[25],"amortization":[28],"sense,":[29],"which":[30,109],"struggles":[31],"to":[32,57,86,90,112],"handle":[33],"clouds":[35],"with":[36,104],"unique":[37],"characteristics.":[38],"In":[39],"this":[40],"work,":[41],"we":[42,72],"focus":[43],"on":[44],"lossless":[46],"compression,":[49],"and":[50,68,101],"propose":[51],"a":[52,64,69],"novel":[53],"context-adaptive":[54],"entropy":[55,66,132],"model":[56,67,116],"achieve":[58],"adaptive":[59],"prediction.":[61],"Specifically,":[62],"given":[63],"baseline":[65],"cloud,":[71],"firstly":[73],"integrate":[74],"adapters":[75,82],"into":[76],"diverse":[77],"feature":[78],"extraction":[79],"modules.":[80],"These":[81],"are":[83,99],"then":[84],"trained":[85,96],"be":[87],"specifically":[88],"attuned":[89],"input":[92],"cloud.":[93],"Finally,":[94],"adapter":[97],"parameters":[98],"encoded":[100],"transmitted":[102],"along":[103],"bitstream,":[108],"allow":[110],"us":[111],"recover":[113],"integrated":[115],"decoder.":[118],"The":[119],"experimental":[120],"results":[121],"demonstrate":[122],"that":[123,141],"our":[124],"method":[125],"can":[126],"enhance":[127],"performance":[129,138],"of":[130,139],"model,":[133],"especially":[134],"improving":[135],"data":[140],"performs":[142],"poorly":[143],"conventional":[145],"methods.":[146]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}