{"id":"https://openalex.org/W4403575764","doi":"https://doi.org/10.48550/arxiv.2410.10053","title":"DINTR: Tracking via Diffusion-based Interpolation","display_name":"DINTR: Tracking via Diffusion-based Interpolation","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403575764","doi":"https://doi.org/10.48550/arxiv.2410.10053"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2410.10053","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.10053","pdf_url":"https://arxiv.org/pdf/2410.10053","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.10053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002689322","display_name":"Pha Nguyen","orcid":"https://orcid.org/0000-0003-1517-1382"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Pha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101154137","display_name":"Ngan Le","orcid":"https://orcid.org/0009-0000-0406-3111"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Ngan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056353451","display_name":"Jackson Cothren","orcid":"https://orcid.org/0000-0002-5548-6955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cothren, Jackson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008672128","display_name":"Alper Y\u0131lmaz","orcid":"https://orcid.org/0000-0003-0755-2628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilmaz, Alper","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056226189","display_name":"Khoa Luu","orcid":"https://orcid.org/0000-0003-2104-0901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luu, Khoa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7261000275611877,"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/T10320","display_name":"Neural Networks and Applications","score":0.7261000275611877,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.6684783697128296},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6672558784484863},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6640264987945557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49431633949279785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33056640625},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1308450996875763},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.042740434408187866}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6684783697128296},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6672558784484863},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6640264987945557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49431633949279785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33056640625},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1308450996875763},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.042740434408187866},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2410.10053","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.10053","pdf_url":"https://arxiv.org/pdf/2410.10053","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.10053","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.10053","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.10053","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.10053","pdf_url":"https://arxiv.org/pdf/2410.10053","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Object":[0],"tracking":[1,37,49,136],"is":[2],"a":[3,42,97,106,124,155,161],"fundamental":[4],"task":[5],"in":[6,25,84],"computer":[7],"vision,":[8],"requiring":[9],"the":[10,36,48,60,64,79,134,140],"localization":[11],"of":[12,14,35,59,81,142],"objects":[13],"interest":[15],"across":[16,167],"video":[17],"frames.":[18],"Diffusion":[19],"models":[20,89,144],"have":[21],"shown":[22],"remarkable":[23],"capabilities":[24],"visual":[26],"generation,":[27],"making":[28],"them":[29],"well-suited":[30],"for":[31,56,133],"addressing":[32],"several":[33],"requirements":[34],"problem.":[38],"This":[39],"work":[40],"proposes":[41],"novel":[43],"diffusion-based":[44],"methodology":[45],"to":[46,73,96],"formulate":[47],"task.":[50,137],"Firstly,":[51],"their":[52,147],"conditional":[53],"process":[54],"allows":[55],"injecting":[57],"indications":[58],"target":[61],"object":[62,135],"into":[63],"generation":[65],"process.":[66,112],"Secondly,":[67],"diffusion":[68,88,143],"mechanics":[69],"can":[70,102],"be":[71,103],"developed":[72],"inherently":[74],"model":[75],"temporal":[76],"correspondences,":[77],"enabling":[78],"reconstruction":[80],"actual":[82],"frames":[83],"video.":[85],"However,":[86],"existing":[87],"rely":[90],"on":[91,164],"extensive":[92],"and":[93,109,128,159],"unnecessary":[94],"mapping":[95],"Gaussian":[98],"noise":[99],"domain,":[100],"which":[101],"replaced":[104],"by":[105],"more":[107,125],"efficient":[108],"stable":[110],"interpolation":[111,115],"Our":[113],"proposed":[114],"mechanism":[116],"draws":[117],"inspiration":[118],"from":[119],"classic":[120],"image-processing":[121],"techniques,":[122],"offering":[123],"interpretable,":[126],"stable,":[127],"faster":[129],"approach":[130],"tailored":[131],"specifically":[132],"By":[138],"leveraging":[139],"strengths":[141],"while":[145],"circumventing":[146],"limitations,":[148],"our":[149],"Diffusion-based":[150],"INterpolation":[151],"TrackeR":[152],"(DINTR)":[153],"presents":[154],"promising":[156],"new":[157],"paradigm":[158],"achieves":[160],"superior":[162],"multiplicity":[163],"seven":[165],"benchmarks":[166],"five":[168],"indicator":[169],"representations.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
