{"id":"https://openalex.org/W7134807921","doi":"https://doi.org/10.48550/arxiv.2603.07839","title":"Training-free Temporal Object Tracking in Surgical Videos","display_name":"Training-free Temporal Object Tracking in Surgical Videos","publication_year":2026,"publication_date":"2026-03-08","ids":{"openalex":"https://openalex.org/W7134807921","doi":"https://doi.org/10.48550/arxiv.2603.07839"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.07839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.07839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Koley, Subhadeep","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koley, Subhadeep","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kadkhodamohammadi, Abdolrahim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kadkhodamohammadi, Abdolrahim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Barbarisi, Santiago","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barbarisi, Santiago","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Stoyanov, Danail","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stoyanov, Danail","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Luengo, Imanol","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luengo, Imanol","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.6502000093460083,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.6502000093460083,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.04309999942779541,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.025200000032782555,"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/video-tracking","display_name":"Video tracking","score":0.5942000150680542},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5551999807357788},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.5149999856948853},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5085999965667725},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43160000443458557},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.34299999475479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562999725341797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694599986076355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6132000088691711},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5942000150680542},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.5149999856948853},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.34299999475479126},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2827000021934509},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2526000142097473},{"id":"https://openalex.org/C2987287001","wikidata":"https://www.wikidata.org/wiki/Q638774","display_name":"Laparoscopic cholecystectomy","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.07839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.07839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Purpose:":[0],"In":[1],"this":[2],"paper,":[3],"we":[4,57,100,121,145],"present":[5],"a":[6,97,147,175,194],"novel":[7,176],"approach":[8],"for":[9,137,197],"online":[10],"object":[11,49,108,142,202],"tracking":[12,22,70,93,203],"in":[13,42,91,204],"laparoscopic":[14],"cholecystectomy":[15],"(LC)":[16],"surgical":[17,62,190],"videos,":[18],"targeting":[19],"localisation":[20,50,109],"and":[21,27,38,110,117,158,199],"of":[23,34,52,129,140,151,156,161,178,189],"critical":[24],"anatomical":[25],"structures":[26],"instruments.":[28],"Our":[29,69,170],"method":[30],"addresses":[31],"the":[32,47,92,127,138,164,187],"challenges":[33],"costly":[35],"pixel-level":[36],"annotations":[37],"label":[39],"inconsistencies":[40],"inherent":[41,48],"existing":[43],"datasets.":[44],"Methods:":[45],"Leveraging":[46],"capabilities":[51],"pre-trained":[53],"text-to-image":[54,179],"diffusion":[55,104,180],"models,":[56],"extract":[58],"representative":[59],"features":[60,105],"from":[61],"frames":[63],"without":[64],"any":[65],"training":[66],"or":[67],"fine-tuning.":[68],"framework":[71],"uses":[72],"these":[73],"features,":[74],"along":[75],"with":[76],"cross-frame":[77],"interactions":[78],"via":[79],"an":[80],"affinity":[81],"matrix":[82],"inspired":[83],"by":[84],"query-key-value":[85],"attention,":[86],"to":[87,125,185],"ensure":[88],"temporal":[89,118,141,201],"continuity":[90],"process.":[94],"Results:":[95],"Through":[96],"pilot":[98],"study,":[99],"first":[101],"demonstrate":[102],"that":[103],"exhibit":[106],"superior":[107],"consistent":[111],"semantics":[112],"across":[113],"different":[114],"decoder":[115],"levels":[116],"frames.":[119],"Later,":[120],"perform":[122],"extensive":[123],"experiments":[124],"validate":[126],"effectiveness":[128],"our":[130],"approach,":[131],"showcasing":[132],"its":[133],"superiority":[134],"over":[135],"competitors":[136],"task":[139],"tracking.":[143],"Specifically,":[144],"achieve":[146],"per-pixel":[148],"classification":[149],"accuracy":[150],"79.19%,":[152],"mean":[153,159],"Jaccard":[154],"Score":[155],"56.20%,":[157],"F-Score":[160],"79.48%":[162],"on":[163],"publicly":[165],"available":[166],"CholeSeg8K":[167],"dataset.":[168],"Conclusion:":[169],"work":[171],"not":[172],"only":[173],"introduces":[174],"application":[177],"models":[181],"but":[182],"also":[183],"contributes":[184],"advancing":[186],"field":[188],"video":[191],"analysis,":[192],"offering":[193],"promising":[195],"avenue":[196],"accurate":[198],"cost-effective":[200],"minimally":[205],"invasive":[206],"surgery":[207],"videos.":[208]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
