{"id":"https://openalex.org/W4404469392","doi":"https://doi.org/10.1109/tits.2024.3492263","title":"Boost Tracking by Natural Language With Prompt-Guided Grounding","display_name":"Boost Tracking by Natural Language With Prompt-Guided Grounding","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404469392","doi":"https://doi.org/10.1109/tits.2024.3492263"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3492263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3492263","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5108924530","display_name":"Hengyou Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengyou Li","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439402","display_name":"Xinyan Liu","orcid":"https://orcid.org/0000-0003-2638-4324"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775216","display_name":"Guorong Li","orcid":"https://orcid.org/0000-0003-3954-2387"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorong Li","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669242","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0002-5931-0527"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010557705","display_name":"Laiyun Qing","orcid":"https://orcid.org/0000-0001-9923-5034"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laiyun Qing","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006870317","display_name":"Qingming Huang","orcid":"https://orcid.org/0009-0006-8793-6953"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108924530"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.3415,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68191404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"1","first_page":"1088","last_page":"1100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.43369999527931213,"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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.43369999527931213,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.39340001344680786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ground","display_name":"Ground","score":0.6880378723144531},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5643606185913086},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.528089702129364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5001087188720703},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4520355463027954},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3284924030303955},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.31621044874191284},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2184372842311859},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19913867115974426},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.162779301404953}],"concepts":[{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.6880378723144531},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5643606185913086},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.528089702129364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5001087188720703},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4520355463027954},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3284924030303955},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31621044874191284},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2184372842311859},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19913867115974426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.162779301404953},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3492263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3492263","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2913099757","display_name":null,"funder_award_id":"E2E41102X2","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4199693610","display_name":null,"funder_award_id":"62236008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7528510259","display_name":null,"funder_award_id":"61836002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8377263673","display_name":null,"funder_award_id":"E2ET1104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8752815154","display_name":null,"funder_award_id":"62272438","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2089961441","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2747053578","https://openalex.org/W2799058067","https://openalex.org/W2891033863","https://openalex.org/W2963150697","https://openalex.org/W2963471260","https://openalex.org/W2990205821","https://openalex.org/W3010072143","https://openalex.org/W3046554648","https://openalex.org/W3092514003","https://openalex.org/W3106542916","https://openalex.org/W3117097536","https://openalex.org/W3167536469","https://openalex.org/W3173871266","https://openalex.org/W3174225630","https://openalex.org/W3181069167","https://openalex.org/W3184430082","https://openalex.org/W3198377975","https://openalex.org/W3204540098","https://openalex.org/W3204554907","https://openalex.org/W3205021045","https://openalex.org/W3214586131","https://openalex.org/W4214759957","https://openalex.org/W4285606530","https://openalex.org/W4292828074","https://openalex.org/W4293811899","https://openalex.org/W4309181071","https://openalex.org/W4312751983","https://openalex.org/W4312796324","https://openalex.org/W4312805142","https://openalex.org/W4312956471","https://openalex.org/W4312961003","https://openalex.org/W4320008877","https://openalex.org/W4380520387","https://openalex.org/W4385245566","https://openalex.org/W4385569741","https://openalex.org/W4386066459","https://openalex.org/W4386075643","https://openalex.org/W4390871890","https://openalex.org/W4390874575","https://openalex.org/W4390889789","https://openalex.org/W4393147957","https://openalex.org/W6732742072","https://openalex.org/W6756015008","https://openalex.org/W6791353385","https://openalex.org/W6795704626","https://openalex.org/W6801512601","https://openalex.org/W6801567822","https://openalex.org/W6805147364","https://openalex.org/W6839144149","https://openalex.org/W6843033949"],"related_works":["https://openalex.org/W2021787609","https://openalex.org/W1537063595","https://openalex.org/W2097328689","https://openalex.org/W4234899305","https://openalex.org/W2379604501","https://openalex.org/W2373854414","https://openalex.org/W2574906695","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"TNL":[0,21],"(Tracking":[1],"by":[2,11,41,118],"Natural":[3],"Language)":[4],"aims":[5],"to":[6,52,69,96,135],"locate":[7],"the":[8,42,46,53,61,98,133,146,156,161],"target":[9,105],"described":[10],"a":[12,17,66,75,79,85],"natural":[13],"language":[14],"sentence":[15],"in":[16,60,101],"video.":[18],"Most":[19],"existing":[20],"methods":[22],"are":[23],"typically":[24],"composed":[25],"of":[26,45,160],"three":[27],"modules:":[28],"object":[29,31],"grounding,":[30],"tracking,":[32],"and":[33,36,48,56,84,107,120,153,158],"switching":[34,49],"module,":[35,78,83],"their":[37],"performance":[38,44],"is":[39],"limited":[40],"poor":[43],"grounding":[47,77,91],"modules":[50],"due":[51],"complex":[54],"backgrounds":[55],"inaccurate":[57],"information":[58,128],"stored":[59],"memory.":[62],"This":[63],"paper":[64],"presents":[65],"global-local":[67],"framework":[68],"address":[70],"these":[71],"issues,":[72],"which":[73],"includes":[74],"prompt-guided":[76,90],"trained":[80],"local":[81],"tracking":[82],"memory-based":[86,123],"switcher":[87],"module.":[88],"The":[89,122],"module":[92,125],"uses":[93],"noun":[94],"prompts":[95],"guide":[97],"CLIP":[99],"model":[100,134],"focusing":[102],"more":[103,137],"on":[104,141,150],"regions":[106],"aligning":[108],"visual":[109],"features":[110],"semantically":[111],"with":[112,129],"linguistic":[113],"features,":[114],"avoiding":[115],"being":[116],"misled":[117],"distractors":[119],"background.":[121],"switch":[124],"stores":[126],"historical":[127],"higher-quality":[130],"memory,":[131],"allowing":[132],"make":[136],"accurate":[138],"decisions":[139],"based":[140],"reliable":[142],"data,":[143],"thus":[144],"improving":[145],"overall":[147],"performance.":[148],"Experiments":[149],"TNL2K,":[151],"LaSOT,":[152],"OTB-Lang":[154],"demonstrate":[155],"effectiveness":[157],"generalizability":[159],"proposed":[162],"framework.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
