{"id":"https://openalex.org/W4416750954","doi":"https://doi.org/10.1109/iros60139.2025.11246825","title":"TIETracker: A CLIP-based RGB-T Tracking via Feature Interaction and Semantic Enhancement","display_name":"TIETracker: A CLIP-based RGB-T Tracking via Feature Interaction and Semantic Enhancement","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416750954","doi":"https://doi.org/10.1109/iros60139.2025.11246825"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061946146","display_name":"Weidai Xia","orcid":"https://orcid.org/0000-0003-3878-7294"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidai Xia","raw_affiliation_strings":["Central South University,The School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,The School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027041226","display_name":"Xingliang Mao","orcid":"https://orcid.org/0000-0001-8450-9688"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingliang Mao","raw_affiliation_strings":["Hunan University of Technology and Business,The School of Digital Media Engineering and Humanities,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business,The School of Digital Media Engineering and Humanities,Changsha,China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428333","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0002-0975-4613"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Central South University,The School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,The School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001698371","display_name":"Chengzhang Zhu","orcid":"https://orcid.org/0000-0003-0495-1981"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhang Zhu","raw_affiliation_strings":["Central South University,The School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,The School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101993944","display_name":"Fangfang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Li","raw_affiliation_strings":["Central South University,The School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,The School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9677","last_page":"9682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8759999871253967,"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":0.8759999871253967,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.03889999911189079,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.016599999740719795,"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6995999813079834},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6844000220298767},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6236000061035156},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5523999929428101},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.53329998254776},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5062999725341797},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48069998621940613},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4410000145435333},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43650001287460327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76419997215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7038000226020813},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6995999813079834},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6844000220298767},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6236000061035156},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.53329998254776},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5062999725341797},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4993000030517578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.38100001215934753},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2527415613","https://openalex.org/W2765667535","https://openalex.org/W2888456413","https://openalex.org/W2963188742","https://openalex.org/W2963905288","https://openalex.org/W2998356391","https://openalex.org/W3002567850","https://openalex.org/W3012425959","https://openalex.org/W3035020406","https://openalex.org/W3099671582","https://openalex.org/W3101990647","https://openalex.org/W3110562975","https://openalex.org/W3127317646","https://openalex.org/W3138516171","https://openalex.org/W3158472981","https://openalex.org/W3173859428","https://openalex.org/W3183904268","https://openalex.org/W3187284461","https://openalex.org/W4226343865","https://openalex.org/W4283808043","https://openalex.org/W4293523180","https://openalex.org/W4312668764","https://openalex.org/W4312747482","https://openalex.org/W4385245566","https://openalex.org/W4386075603","https://openalex.org/W4386075647","https://openalex.org/W4386076331","https://openalex.org/W4406062670"],"related_works":[],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,17,31,92,115,121,151],"RGB-T":[3,169],"tracking":[4,62,81,161,170],"is":[5],"to":[6,86,87,105,128,178],"enhance":[7],"the":[8,14,29,65,78,89,102,113,138,145,148,152],"accuracy":[9,159],"and":[10,19,41,61,111,123,160,190],"robustness":[11],"by":[12],"leveraging":[13],"complementary":[15,90],"features":[16,33],"RGB":[18],"TIR":[20],"modalities":[21,40],"in":[22,34,109,119,147,187],"complex":[23],"scenarios.":[24],"Previous":[25],"methods":[26],"have":[27],"overlooked":[28],"power":[30],"semantic":[32],"extracting":[35],"valuable":[36],"information":[37,135],"from":[38,185],"different":[39],"improving":[42],"interactions":[43],"across":[44],"them.":[45],"Moreover,":[46],"using":[47,96],"Bounding":[48],"Boxes":[49],"(BBox)":[50],"for":[51],"target":[52,107,132,139,188],"initialization":[53],"can":[54],"cause":[55],"issues":[56,155],"like":[57],"bounding":[58,157],"box":[59,158],"blurring":[60],"drift":[63],"when":[64],"target\u2019s":[66],"appearance":[67,189],"changes":[68,186],"or":[69,130],"gets":[70],"occluded.":[71],"To":[72],"address":[73],"these":[74],"challenges,":[75],"we":[76],"propose":[77],"CLIP-based":[79],"RGBT":[80],"algorithm":[82],"TIETracker,":[83],"which":[84],"aims":[85],"exploit":[88],"advantages":[91],"multimodality":[93,110],"more":[94],"effectively":[95,181],"textual":[97,134],"information.":[98],"Textual":[99],"descriptions":[100],"direct":[101],"backbone":[103],"network":[104],"learn":[106],"representations":[108],"facilitate":[112],"interaction":[114],"multi-modal":[116],"features.":[117],"Additionally,":[118],"scenarios":[120],"occlusion":[122],"scale":[124],"transformations":[125],"that":[126,173],"lead":[127],"missing":[129],"altered":[131],"features,":[133],"adaptively":[136],"supplements":[137],"representation.":[140],"This":[141],"approach":[142],"also":[143],"improves":[144],"response":[146],"image":[149],"region":[150],"target,":[153],"addressing":[154],"with":[156],"drift.":[162],"Our":[163],"extensive":[164],"evaluation":[165],"on":[166],"three":[167],"leading":[168],"benchmarks":[171],"demonstrates":[172],"TIETracker":[174],"achieves":[175],"competitive":[176],"compared":[177],"state-of-the-art":[179],"methods,":[180],"countering":[182],"feature":[183],"loss":[184],"occlusion.":[191]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-28T00:00:00"}