{"id":"https://openalex.org/W4400905283","doi":"https://doi.org/10.1109/access.2024.3432709","title":"Video Desnower: An Adaptive Feature Fusion Understanding Video Desnowing Model With Deformable Convolution and KNN Point Cloud Transformer","display_name":"Video Desnower: An Adaptive Feature Fusion Understanding Video Desnowing Model With Deformable Convolution and KNN Point Cloud Transformer","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400905283","doi":"https://doi.org/10.1109/access.2024.3432709"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3432709","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3432709","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2024.3432709","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330835","display_name":"Yuxuan Li","orcid":"https://orcid.org/0000-0002-5145-8607"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5145-8607","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001135065","display_name":"Lin Dai","orcid":"https://orcid.org/0000-0001-8258-6727"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Dai","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45595672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"104354","last_page":"104366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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":0.8803115487098694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636849999427795},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4654930830001831},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4197392463684082},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41889864206314087},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.41468149423599243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4034351110458374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8803115487098694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636849999427795},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4654930830001831},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4197392463684082},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41889864206314087},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.41468149423599243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4034351110458374},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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":2,"locations":[{"id":"doi:10.1109/access.2024.3432709","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3432709","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:05720f8c40864ac796c2794f77101da1","is_oa":true,"landing_page_url":"https://doaj.org/article/05720f8c40864ac796c2794f77101da1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 104354-104366 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3432709","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3432709","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G8878491478","display_name":null,"funder_award_id":"62172039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":39,"referenced_works":["https://openalex.org/W1909316225","https://openalex.org/W2122596619","https://openalex.org/W2133665775","https://openalex.org/W2617199345","https://openalex.org/W2748263833","https://openalex.org/W2790795024","https://openalex.org/W2963074253","https://openalex.org/W3009037420","https://openalex.org/W3036209635","https://openalex.org/W3082174403","https://openalex.org/W3103549414","https://openalex.org/W3104533206","https://openalex.org/W3133653501","https://openalex.org/W3194523157","https://openalex.org/W3201952986","https://openalex.org/W4293256270","https://openalex.org/W4296913506","https://openalex.org/W4313291231","https://openalex.org/W4313427362","https://openalex.org/W4319878483","https://openalex.org/W4362500858","https://openalex.org/W4376455312","https://openalex.org/W4376464610","https://openalex.org/W4376464632","https://openalex.org/W4377001502","https://openalex.org/W4377231617","https://openalex.org/W4381300351","https://openalex.org/W4381327837","https://openalex.org/W4385832167","https://openalex.org/W4386170296","https://openalex.org/W4386609054","https://openalex.org/W4386858051","https://openalex.org/W4387350506","https://openalex.org/W4388692446","https://openalex.org/W4391953434","https://openalex.org/W4394564155","https://openalex.org/W6766978945","https://openalex.org/W6839690684","https://openalex.org/W6842333118"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2980582925","https://openalex.org/W4282934273"],"abstract_inverted_index":{"The":[0,179],"desnowing":[1,31,38,84,114,140,173],"(snow":[2],"removal)":[3],"model":[4,158],"is":[5,45],"extensively":[6],"utilized":[7],"in":[8,41,73,184],"various":[9,149],"fields,":[10],"including":[11],"visual":[12],"enhancement,":[13],"security":[14],"monitoring,":[15],"and":[16,91,110,181,208],"autonomous":[17],"driving":[18],"technology.":[19],"Some":[20],"previous":[21],"work":[22],"developed":[23],"highly":[24],"efficient":[25],"models":[26],"that":[27],"primarily":[28],"addressed":[29],"single-image":[30,154],"tasks.":[32],"Simultaneously,":[33],"the":[34,54,70,93,101,108,119,122,143,160,214],"process":[35],"of":[36,50,56,95,103,112,121,146,204],"video":[37,57,83,113,172],"holds":[39],"significance":[40],"practical":[42],"applications.":[43],"There":[44],"only":[46],"a":[47,104,167,171,201],"limited":[48],"amount":[49],"literature":[51],"available":[52,188],"on":[53,170],"topic":[55],"desnowing,":[58],"mainly":[59],"utilizing":[60],"predetermined":[61],"knowledge":[62],"rather":[63],"than":[64],"exploring":[65],"deep":[66],"learning":[67],"technologies.":[68],"Given":[69],"identified":[71],"deficiency":[72],"current":[74],"research,":[75],"our":[76],"study":[77,186],"aims":[78],"to":[79,138,153,162,212],"improve":[80],"upon":[81,189],"existing":[82],"methodologies":[85,137],"by":[86],"introducing":[87],"an":[88],"innovative":[89],"approach":[90],"filling":[92],"void":[94],"specialized":[96],"datasets.":[97],"Our":[98],"contribution":[99],"includes":[100],"development":[102],"dataset":[105,174,182],"tailored":[106],"for":[107,197],"training":[109],"assessment":[111],"models,":[115,155],"as":[116,118],"well":[117],"creation":[120],"Video-Denower":[123],"model,":[124],"which":[125],"integrates":[126],"adaptive":[127,134],"feature":[128,135],"fusion":[129,136],"mechanisms.":[130],"Video-Desnower":[131],"employs":[132],"sophisticated":[133],"enhance":[139],"efficacy":[141],"through":[142],"comprehensive":[144],"analysis":[145],"features":[147],"across":[148],"scales.":[150],"In":[151],"contrast":[152],"this":[156,185],"particular":[157],"has":[159],"ability":[161],"analyze":[163],"multiple":[164],"frames":[165],"within":[166],"video.":[168],"Experiments":[169],"show":[175],"its":[176],"exceptional":[177],"capabilities.":[178],"code":[180],"used":[183],"are":[187],"request.":[190],"Interested":[191],"researchers":[192],"can":[193],"contact":[194],"us":[195],"at":[196],"access.":[198],"Please":[199],"include":[200],"brief":[202],"description":[203],"your":[205],"research":[206],"interest":[207],"how":[209],"you":[210],"intend":[211],"use":[213],"data.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
