{"id":"https://openalex.org/W7138075733","doi":"https://doi.org/10.1609/aaai.v40i12.37949","title":"Semantic Feature Purification for Adversarially-Aware RGB-T Tracking","display_name":"Semantic Feature Purification for Adversarially-Aware RGB-T Tracking","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138075733","doi":"https://doi.org/10.1609/aaai.v40i12.37949"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i12.37949","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i12.37949","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i12.37949","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129674792","display_name":"Jiahao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jiahao Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129650796","display_name":"Fang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129641638","display_name":"Hao Henry Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129728484","display_name":"Shuo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129716211","display_name":"Xinyi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xinyi Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039562483","display_name":"Puhua Chen","orcid":"https://orcid.org/0000-0001-5472-1426"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Puhua Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education\nInternational Research Center for Intelligent Perception and Computation\nJoint International Research Laboratory of Intelligent Perception and Computation\nSchool of Artificial Intelligent, Xidian University, Xi\u2019an,710071, P.R. China","institution_ids":["https://openalex.org/I4210153682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5129674792"],"corresponding_institution_ids":["https://openalex.org/I4210153682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3761194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"12","first_page":"9847","last_page":"9855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.3257000148296356,"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":0.3257000148296356,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.288100004196167,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.09019999951124191,"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/robustness","display_name":"Robustness (evolution)","score":0.6783000230789185},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6055999994277954},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5041000247001648},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.48829999566078186},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4246000051498413},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.41269999742507935},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.40450000762939453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.38429999351501465},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.37229999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337999939918518},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6783000230789185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6560999751091003},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6055999994277954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5126000046730042},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3598000109195709},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3089999854564667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i12.37949","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i12.37949","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i12.37949","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i12.37949","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"RGB-T":[0,46,99],"tracking":[1,17,63,100],"is":[2,19],"increasingly":[3],"deployed":[4],"in":[5,37],"safety-critical":[6],"applications":[7],"such":[8,68],"as":[9],"autonomous":[10],"driving,":[11],"surveillance,":[12],"and":[13,29,39,158,164,203],"rescue":[14],"robotics,":[15],"where":[16],"reliability":[18,163],"essential":[20],"under":[21,172,177],"adverse":[22],"conditions.":[23,174],"Although":[24],"the":[25,102,111,120,182],"fusion":[26,171],"of":[27,184,200],"RGB":[28],"thermal":[30],"infrared":[31,75],"(TIR)":[32],"modalities":[33],"offers":[34],"improved":[35],"robustness":[36],"low-light":[38],"occluded":[40],"scenes,":[41],"recent":[42],"findings":[43],"show":[44],"that":[45,57,97],"trackers":[47],"remain":[48],"highly":[49],"susceptible":[50],"to":[51,61,83,123,138,161,192,198,208],"subtle":[52],"input":[53],"perturbations,":[54],"human-imperceptible":[55],"modifications":[56],"exploit":[58],"cross-modal":[59,167],"inconsistencies":[60],"mislead":[62],"outputs.":[64],"In":[65],"real-world":[66,209],"scenarios,":[67],"perturbations":[69,199],"can":[70],"arise":[71],"from":[72,131],"sensor":[73],"spoofing,":[74],"camouflage,":[76],"or":[77],"physical-world":[78],"attacks,":[79],"posing":[80],"serious":[81],"risks":[82],"operational":[84],"safety.":[85],"To":[86,141],"address":[87],"this,":[88],"we":[89,146],"propose":[90],"SFPT,":[91],"a":[92],"Semantic":[93],"Feature":[94],"Purification":[95],"framework":[96],"enhances":[98],"at":[101,110],"representation":[103],"level.":[104],"Rather":[105],"than":[106],"filtering":[107],"corrupted":[108],"inputs":[109],"pixel":[112],"level,":[113],"SFPT":[114,188],"introduces":[115],"task-specific":[116],"semantic":[117],"anchors":[118,128],"into":[119],"feature":[121],"space":[122],"reinforce":[124],"perturbation-invariant":[125],"cues.":[126],"These":[127],"are":[129],"derived":[130],"descriptive":[132],"language,":[133],"interact":[134],"with":[135],"visual":[136,159],"features":[137],"purify":[139],"representations.":[140],"further":[142],"suppress":[143],"modality-specific":[144],"interference,":[145],"design":[147],"an":[148],"Adaptive":[149],"Perturbation-Guided":[150],"Cross-Modal":[151],"Fusion":[152],"(APG-CMF)":[153],"module,":[154],"which":[155],"leverages":[156],"language":[157],"signals":[160],"estimate":[162],"dynamically":[165],"reweight":[166],"features,":[168],"ensuring":[169],"robust":[170],"perturbation":[173,179],"Extensive":[175],"experiments":[176],"diverse":[178],"conditions":[180],"validate":[181],"effectiveness":[183],"our":[185],"approach.":[186],"Notably,":[187],"maintains":[189],"performance":[190],"comparable":[191],"clean":[193],"settings":[194],"even":[195],"when":[196],"subjected":[197],"strength":[201],"1/255":[202],"4/255,":[204],"demonstrating":[205],"strong":[206],"resilience":[207],"interference.":[210]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}
