{"id":"https://openalex.org/W4392449443","doi":"https://doi.org/10.1109/tip.2024.3371355","title":"RGBT Tracking via Challenge-Based Appearance Disentanglement and Interaction","display_name":"RGBT Tracking via Challenge-Based Appearance Disentanglement and Interaction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392449443","doi":"https://doi.org/10.1109/tip.2024.3371355","pmid":"https://pubmed.ncbi.nlm.nih.gov/38442061"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3371355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3371355","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100349638","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0003-2749-5528"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, and Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, and Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398932","display_name":"Chenglong Li","orcid":"https://orcid.org/0000-0002-7233-2739"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Li","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province and Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province and Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419454","display_name":"Yun Xiao","orcid":"https://orcid.org/0000-0002-5285-8565"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xiao","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province and Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province and Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025338748","display_name":"Rui Ruan","orcid":"https://orcid.org/0000-0001-6822-9256"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ruan","raw_affiliation_strings":["School of Internet, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Internet, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108390176","display_name":"Minghao Fan","orcid":"https://orcid.org/0009-0002-7790-8706"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghao Fan","raw_affiliation_strings":["Anhui Province Key Laboratory of Electric Fire and Safety Protection, State Grid Anhui Electric Power Research Institute, Hefei, China","State Grid Anhui Electric Power Research Institute, Anhui Province Key Laboratory of Electric Fire and Safety Protection, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Electric Fire and Safety Protection, State Grid Anhui Electric Power Research Institute, Hefei, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Anhui Electric Power Research Institute, Anhui Province Key Laboratory of Electric Fire and Safety Protection, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100349638"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":15.1313,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.99467819,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"1753","last_page":"1767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11448","display_name":"Face recognition and analysis","score":0.9936000108718872,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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/discriminative-model","display_name":"Discriminative model","score":0.9060498476028442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756887674331665},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7285634875297546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486152410507202},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5836256742477417},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5562919974327087},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5302490592002869},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.49627381563186646},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4759131073951721},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4605262875556946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4516250491142273},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4418072998523712},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4331931173801422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34682923555374146}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9060498476028442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756887674331665},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7285634875297546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486152410507202},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5836256742477417},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5562919974327087},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5302490592002869},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.49627381563186646},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4759131073951721},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4605262875556946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4516250491142273},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4418072998523712},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4331931173801422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34682923555374146},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3371355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3371355","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38442061","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38442061","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G467945505","display_name":null,"funder_award_id":"52120524000A","funder_id":"https://openalex.org/F4320326707","funder_display_name":"State Grid Corporation of China"},{"id":"https://openalex.org/G8309828732","display_name":null,"funder_award_id":"62076003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G845944294","display_name":null,"funder_award_id":"62376004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G849060900","display_name":null,"funder_award_id":"2208085J18","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2214352687","https://openalex.org/W2527415613","https://openalex.org/W2760103357","https://openalex.org/W2765667535","https://openalex.org/W2794744029","https://openalex.org/W2888456413","https://openalex.org/W2895598217","https://openalex.org/W2898200825","https://openalex.org/W2962928529","https://openalex.org/W2962978560","https://openalex.org/W2963150697","https://openalex.org/W2963173190","https://openalex.org/W2963188742","https://openalex.org/W2963814095","https://openalex.org/W2963840672","https://openalex.org/W2963905288","https://openalex.org/W2964213755","https://openalex.org/W3002567850","https://openalex.org/W3012425959","https://openalex.org/W3035020406","https://openalex.org/W3099671582","https://openalex.org/W3099681648","https://openalex.org/W3101990647","https://openalex.org/W3110562975","https://openalex.org/W3132864630","https://openalex.org/W3158472981","https://openalex.org/W3171106688","https://openalex.org/W3183152796","https://openalex.org/W3183904268","https://openalex.org/W3186759331","https://openalex.org/W3197393208","https://openalex.org/W3214116948","https://openalex.org/W4226126595","https://openalex.org/W4226458186","https://openalex.org/W4283808043","https://openalex.org/W4286974493","https://openalex.org/W4288322074","https://openalex.org/W4289752563","https://openalex.org/W4293523180","https://openalex.org/W4304098539","https://openalex.org/W4312668764","https://openalex.org/W4321195219","https://openalex.org/W4385155144","https://openalex.org/W4386075603","https://openalex.org/W4386075647","https://openalex.org/W4386083135","https://openalex.org/W4386275716","https://openalex.org/W4387969861","https://openalex.org/W6759172331","https://openalex.org/W6764592398"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"RGB":[0],"and":[1,9,12,16,45,50,85,144,189],"thermal":[2],"source":[3],"data":[4,201],"suffer":[5],"from":[6,110],"both":[7,48],"shared":[8],"specific":[10],"challenges,":[11],"how":[13],"to":[14,74,81,89,106,113,116,131,155,185,198],"explore":[15],"exploit":[17],"them":[18],"plays":[19],"a":[20,36,102,172,195],"critical":[21],"role":[22],"in":[23,28,176],"representing":[24],"the":[25,62,94,118,146,157,165,177,209,212,216],"target":[26,41,63,135,142,158,166],"appearance":[27,42,64,159],"RGBT":[29,56],"tracking.":[30,57],"In":[31,58,183],"this":[32],"paper,":[33],"we":[34,60,100,125,193],"propose":[35,101],"novel":[37],"approach,":[38],"which":[39,137],"performs":[40],"representation":[43],"disentanglement":[44],"interaction":[46,104,129],"via":[47,66],"modality-shared":[49,83],"modality-specific":[51,91,98],"challenge":[52,204],"attributes,":[53],"for":[54],"robust":[55],"particular,":[59],"disentangle":[61],"representations":[65,143,167],"five":[67],"challenge-based":[68,134,151],"branches":[69,80,88,152],"with":[70,202],"different":[71,203],"structures":[72],"according":[73],"their":[75],"properties,":[76],"including":[77],"three":[78],"parameter-shared":[79],"model":[82,90,156],"challenges":[84,162],"two":[86],"parameter-independent":[87],"challenges.":[92],"Considering":[93],"complementary":[95],"advantages":[96],"between":[97],"cues,":[99],"guidance":[103],"module":[105,130],"transfer":[107],"discriminative":[108,119,141],"features":[109],"one":[111,115],"modality":[112],"another":[114],"enhance":[117],"ability":[120],"of":[121,179,211],"weak":[122],"modality.":[123],"Moreover,":[124],"design":[126,194],"an":[127],"aggregation":[128],"combine":[132],"all":[133],"representations,":[136],"could":[138],"form":[139],"more":[140],"fit":[145],"challenge-agnostic":[147],"tracking":[148],"process.":[149],"These":[150],"are":[153],"able":[154],"under":[160],"certain":[161],"so":[163],"that":[164],"can":[168],"be":[169],"learned":[170],"by":[171],"few":[173],"parameters":[174],"even":[175],"situation":[178],"insufficient":[180],"training":[181,200],"data.":[182],"addition,":[184],"relieve":[186],"labor":[187],"costs":[188],"avoid":[190],"label":[191],"ambiguity,":[192],"generation":[196],"strategy":[197],"generate":[199],"attributes.":[205],"Comprehensive":[206],"experiments":[207],"demonstrate":[208],"superiority":[210],"proposed":[213],"tracker":[214],"against":[215],"state-of-the-art":[217],"methods":[218],"on":[219],"four":[220],"benchmark":[221],"datasets.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":12}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}