{"id":"https://openalex.org/W4400812987","doi":"https://doi.org/10.1145/3678882","title":"Asymmetric Deformable Spatio-temporal Framework for Infrared Object Tracking","display_name":"Asymmetric Deformable Spatio-temporal Framework for Infrared Object Tracking","publication_year":2024,"publication_date":"2024-07-19","ids":{"openalex":"https://openalex.org/W4400812987","doi":"https://doi.org/10.1145/3678882"},"language":"en","primary_location":{"id":"doi:10.1145/3678882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678882","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5014956557","display_name":"Jingjing Wu","orcid":"https://orcid.org/0000-0002-3818-4277"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067876199","display_name":"Xi Yi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhou","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451524","display_name":"Xiaohong Li","orcid":"https://orcid.org/0000-0003-1187-2042"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Li","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458818","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-5248-935X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Bytedance, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Bytedance, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073550769","display_name":"Meibin Qi","orcid":"https://orcid.org/0000-0001-9074-211X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meibin Qi","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014956557"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.9898,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76404151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"10","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9980000257492065,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8763012886047363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6510182023048401},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6039972901344299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5479618310928345},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5348894000053406},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5066578984260559},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.49945855140686035},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11269304156303406},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06497824192047119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8763012886047363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6510182023048401},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6039972901344299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479618310928345},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5348894000053406},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5066578984260559},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.49945855140686035},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11269304156303406},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06497824192047119},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3678882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678882","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4907296540","display_name":null,"funder_award_id":"62302142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8204852608","display_name":null,"funder_award_id":"2022M720981","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W2117539524","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2172209229","https://openalex.org/W2186222003","https://openalex.org/W2194775991","https://openalex.org/W2495062528","https://openalex.org/W2557641257","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2604738573","https://openalex.org/W2618530766","https://openalex.org/W2737362155","https://openalex.org/W2783258213","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2805902878","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2902767594","https://openalex.org/W2917435394","https://openalex.org/W2927438889","https://openalex.org/W2955747520","https://openalex.org/W2962824803","https://openalex.org/W2963030525","https://openalex.org/W2963227409","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2964242925","https://openalex.org/W2966759264","https://openalex.org/W3001584168","https://openalex.org/W3017266435","https://openalex.org/W3035511673","https://openalex.org/W3041551881","https://openalex.org/W3046271476","https://openalex.org/W3105117126","https://openalex.org/W3105919488","https://openalex.org/W3106127916","https://openalex.org/W3153607844","https://openalex.org/W3167536469","https://openalex.org/W3180434246","https://openalex.org/W3190916078","https://openalex.org/W3214586131","https://openalex.org/W4200381380","https://openalex.org/W4205757850","https://openalex.org/W4214810297","https://openalex.org/W4220808976","https://openalex.org/W4224937218","https://openalex.org/W4236965008","https://openalex.org/W4293067233","https://openalex.org/W4295833447","https://openalex.org/W4301409532","https://openalex.org/W4302408070","https://openalex.org/W4312532041","https://openalex.org/W4312651496","https://openalex.org/W4312771325","https://openalex.org/W4312805142","https://openalex.org/W4319934144","https://openalex.org/W4386954241","https://openalex.org/W4387460682","https://openalex.org/W4388271799","https://openalex.org/W4389252424","https://openalex.org/W4402592965","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4389065903","https://openalex.org/W2158788032","https://openalex.org/W2385949326","https://openalex.org/W2623195638","https://openalex.org/W1966005655","https://openalex.org/W3135795035","https://openalex.org/W2789220062","https://openalex.org/W2811496562","https://openalex.org/W2094665863","https://openalex.org/W2071984725"],"abstract_inverted_index":{"The":[0],"Infrared":[1],"Object":[2],"Tracking":[3],"(IOT)":[4],"task":[5],"aims":[6],"to":[7,36,63,84,90,108,127,162],"locate":[8],"objects":[9],"in":[10,20,52,71,97,155,172],"infrared":[11,21,25],"sequences.":[12],"Since":[13],"color":[14],"and":[15,68,121],"texture":[16],"information":[17,43,125],"is":[18,44,82,106],"unavailable":[19],"modality,":[22],"most":[23],"existing":[24],"trackers":[26],"merely":[27],"rely":[28],"on":[29,141],"capturing":[30],"spatial":[31],"contexts":[32],"from":[33],"the":[34,74,91,110,115,118,123,128,150,165],"image":[35],"enhance":[37],"feature":[38],"representation,":[39],"where":[40],"other":[41],"complementary":[42],"rarely":[45],"deployed.":[46],"To":[47],"fill":[48],"this":[49,53],"gap,":[50],"we":[51,158],"article":[54],"propose":[55],"a":[56,102],"novel":[57],"Asymmetric":[58],"Deformable":[59],"Spatio-Temporal":[60],"Framework":[61],"(ADSF)":[62],"fully":[64],"exploit":[65],"collaborative":[66],"shape":[67,86],"temporal":[69,111],"clues":[70],"terms":[72],"of":[73,114,152],"objects.":[75],"Firstly,":[76],"an":[77,98],"asymmetric":[78,99],"deformable":[79,92],"cross-attention":[80],"module":[81],"designed":[83],"extract":[85],"information,":[87],"which":[88],"attends":[89],"correlations":[93],"between":[94],"distinct":[95],"frames":[96],"manner.":[100],"Secondly,":[101],"spatio-temporal":[103],"tracking":[104,129,174],"framework":[105],"coined":[107],"learn":[109],"variance":[112],"trend":[113],"object":[116],"during":[117],"training":[119],"process":[120],"store":[122],"template":[124],"closest":[126],"frame":[130],"when":[131],"testing.":[132],"Comprehensive":[133],"experiments":[134,147],"demonstrate":[135,163],"that":[136,164],"ADSF":[137],"outperforms":[138],"state-of-the-art":[139],"methods":[140],"three":[142],"public":[143],"datasets.":[144],"Extensive":[145],"ablation":[146],"further":[148],"confirm":[149],"effectiveness":[151],"each":[153],"component":[154],"ADSF.":[156],"Furthermore,":[157],"conduct":[159],"generalization":[160],"validation":[161],"proposed":[166],"method":[167],"also":[168],"achieves":[169],"performance":[170],"gains":[171],"RGB-based":[173],"scenarios.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}