{"id":"https://openalex.org/W4414360127","doi":"https://doi.org/10.24963/ijcai.2025/159","title":"Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking","display_name":"Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360127","doi":"https://doi.org/10.24963/ijcai.2025/159"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/159","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/159","pdf_url":"https://www.ijcai.org/proceedings/2025/0159.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2025/0159.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068715611","display_name":"Shenglan Li","orcid":"https://orcid.org/0000-0001-9245-5915"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglan Li","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023822600","display_name":"Rui Yao","orcid":"https://orcid.org/0000-0003-2734-915X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yao","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025079159","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0001-6207-0299"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033904998","display_name":"Hancheng Zhu","orcid":"https://orcid.org/0000-0002-5418-9879"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hancheng Zhu","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049765236","display_name":"Kunyang Sun","orcid":"https://orcid.org/0000-0002-5397-0735"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunyang Sun","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339960","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-3643-2473"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081933126","display_name":"Zhiwen Shao","orcid":"https://orcid.org/0000-0002-9383-8384"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Shao","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090052616","display_name":"Jiaqi Zhao","orcid":"https://orcid.org/0000-0002-3564-5090"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhao","raw_affiliation_strings":["China University of Mining and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26407641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1422","last_page":"1430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9438999891281128,"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":0.9438999891281128,"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/adjacency-matrix","display_name":"Adjacency matrix","score":0.5516999959945679},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.536300003528595},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5267000198364258},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49410000443458557},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4334999918937683},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43059998750686646},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.42489999532699585},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.4009000062942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.384799987077713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626999974250793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602999925613403},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5516999959945679},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5267000198364258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5217000246047974},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49410000443458557},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.4009000062942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.374099999666214},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.3379000127315521},{"id":"https://openalex.org/C49555168","wikidata":"https://www.wikidata.org/wiki/Q176583","display_name":"Stochastic matrix","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.31540000438690186},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3005000054836273},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.27709999680519104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2761000096797943},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/159","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/159","pdf_url":"https://www.ijcai.org/proceedings/2025/0159.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2025/159","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/159","pdf_url":"https://www.ijcai.org/proceedings/2025/0159.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3309391743","display_name":null,"funder_award_id":"62172417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3445301911","display_name":null,"funder_award_id":"62276266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6841731650","display_name":null,"funder_award_id":"62272461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7070098255","display_name":null,"funder_award_id":"62472424","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414360127.pdf","grobid_xml":"https://content.openalex.org/works/W4414360127.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0],"reduce":[1],"the":[2,16,19,26,32,48,70,80,92,111,132,168],"reliance":[3],"on":[4,129,158],"large-scale":[5],"annotations,":[6],"self-supervised":[7,74],"RGB-T":[8,75,161],"tracking":[9,49,162],"approaches":[10],"have":[11],"garnered":[12],"significant":[13],"attention.":[14],"However,":[15],"omission":[17],"of":[18,28,34,82,95],"object":[20,43],"region":[21],"by":[22,41,100],"erroneous":[23],"pseudo-label":[24,38],"or":[25],"introduction":[27],"background":[29],"noise":[30,39,44],"affects":[31],"efficiency":[33],"modality":[35],"fusion,":[36],"while":[37],"triggered":[40],"similar":[42],"can":[45],"further":[46],"affect":[47],"performance.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"GDSTrack,":[56],"a":[57,96,120],"novel":[58],"approach":[59],"that":[60,165],"introduces":[61],"dynamic":[62,121],"graph":[63,126],"fusion":[64],"and":[65,90,130,148],"temporal":[66],"diffusion":[67],"to":[68,124],"address":[69],"above":[71],"challenges":[72],"in":[73],"tracking.":[76],"GDSTrack":[77,166],"dynamically":[78],"fuses":[79],"modalities":[81],"neighboring":[83,144],"frames,":[84],"treats":[85],"them":[86],"as":[87,146],"distractor":[88],"noise,":[89],"leverages":[91],"denoising":[93],"capability":[94],"generative":[97],"model.":[98],"Specifically,":[99],"constructing":[101],"an":[102,106],"adjacency":[103,122],"matrix":[104,123],"via":[105],"Adjacency":[107],"Matrix":[108],"Generator":[109],"(AMG),":[110],"proposed":[112],"Modality-guided":[113],"Dynamic":[114],"Graph":[115],"Fusion":[116],"(MDGF)":[117],"module":[118],"uses":[119],"guide":[125],"attention,":[127],"focusing":[128],"fusing":[131],"object\u2019s":[133],"coherent":[134],"regions.":[135],"Temporal":[136],"Graph-Informed":[137],"Diffusion":[138],"(TGID)":[139],"models":[140],"MDGF":[141],"features":[142],"from":[143],"frames":[145],"interference,":[147],"thus":[149],"improving":[150],"robustness":[151],"against":[152],"similar-object":[153],"noise.":[154],"Extensive":[155],"experiments":[156],"conducted":[157],"four":[159],"public":[160],"datasets":[163],"demonstrate":[164],"outperforms":[167],"existing":[169],"state-of-the-art":[170],"methods.":[171],"The":[172],"source":[173],"code":[174],"is":[175],"available":[176],"at":[177],"https://github.com/LiShenglana/GDSTrack.":[178]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}