{"id":"https://openalex.org/W4413680103","doi":"https://doi.org/10.23919/fusion65864.2025.11124103","title":"End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments","display_name":"End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413680103","doi":"https://doi.org/10.23919/fusion65864.2025.11124103"},"language":"en","primary_location":{"id":"doi:10.23919/fusion65864.2025.11124103","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11124103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-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/A5011915615","display_name":"Colin Samplawski","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Samplawski","raw_affiliation_strings":["SRI International"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014286716","display_name":"Shiwei Fang","orcid":"https://orcid.org/0000-0003-0134-5003"},"institutions":[{"id":"https://openalex.org/I4210087454","display_name":"Augusta University Health","ror":"https://ror.org/007rawr89","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwei Fang","raw_affiliation_strings":["Augusta University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Augusta University","institution_ids":["https://openalex.org/I4210087454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023142437","display_name":"Benjamin M. Marlin","orcid":"https://orcid.org/0000-0002-2626-3410"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin M. Marlin","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78358953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9115999937057495,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9115999937057495,"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/end-to-end-principle","display_name":"End-to-end principle","score":0.7458325028419495},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.6630063652992249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027644276618958},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5318816304206848},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5081098079681396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2582470774650574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1470043659210205},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07933774590492249},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0717136561870575}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.7458325028419495},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6630063652992249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027644276618958},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5318816304206848},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5081098079681396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2582470774650574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1470043659210205},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07933774590492249},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0717136561870575},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion65864.2025.11124103","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11124103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1637379582","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W2020934227","https://openalex.org/W2033819227","https://openalex.org/W2034996255","https://openalex.org/W2048605796","https://openalex.org/W2097183228","https://openalex.org/W2105934661","https://openalex.org/W2137043637","https://openalex.org/W2165742115","https://openalex.org/W2194775991","https://openalex.org/W2209193152","https://openalex.org/W2595600061","https://openalex.org/W2990187711","https://openalex.org/W2991219460","https://openalex.org/W3096609285","https://openalex.org/W4214558638","https://openalex.org/W4293185733","https://openalex.org/W4317927926","https://openalex.org/W4401417389","https://openalex.org/W4405384215"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,43],"develop":[4],"an":[5,58],"end-to-end":[6,111],"differentiable":[7,69],"multi-view":[8],"visual":[9],"tracking":[10,34,64,102,112],"architecture":[11,41],"and":[12,20,57,78],"explore":[13],"fine-tuning":[14,79,104],"model":[15],"parameters":[16,82,106],"via":[17],"gradient-based":[18],"optimization":[19],"automatic":[21],"differentiation.":[22],"We":[23,66],"consider":[24],"a":[25],"setting":[26],"with":[27],"multiple":[28],"camera":[29,52],"nodes":[30],"distributed":[31],"in":[32],"the":[33,81,105,108],"environment":[35],"that":[36,42],"collaboratively":[37],"track":[38],"objects.":[39],"The":[40],"construct":[44],"includes":[45],"within-image-plane":[46],"deep":[47],"learning-based":[48],"detection":[49],"models,":[50,53,56],"probabilistic":[51],"object":[54],"dynamics":[55],"<tex":[59,99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$N$</tex>-object":[61,101],"Kalman":[62],"filter-based":[63],"model.":[65],"demonstrate":[67],"fully":[68],"choices":[70],"for":[71,98,110],"each":[72],"of":[73,80,83,91,107],"these":[74],"components,":[75],"enabling":[76],"learning":[77],"all":[84],"system":[85,109],"components":[86],"based":[87],"on":[88],"different":[89],"forms":[90],"supervision.":[92],"Our":[93],"results":[94],"show":[95],"performance":[96],"gains":[97],"when":[103],"performance.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
