{"id":"https://openalex.org/W7128001039","doi":"https://doi.org/10.48550/arxiv.2602.04877","title":"CoWTracker: Tracking by Warping instead of Correlation","display_name":"CoWTracker: Tracking by Warping instead of Correlation","publication_year":2026,"publication_date":"2026-02-04","ids":{"openalex":"https://openalex.org/W7128001039","doi":"https://doi.org/10.48550/arxiv.2602.04877"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.04877","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123112492","display_name":"Zihang Lai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lai, Zihang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088792238","display_name":"Eldar Insafutdinov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Insafutdinov, Eldar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103143883","display_name":"Edgar Sucar","orcid":"https://orcid.org/0000-0002-5874-7559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sucar, Edgar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125235346","display_name":"Andrea Vedaldi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vedaldi, Andrea","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5123112492"],"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/T10531","display_name":"Advanced Vision and Imaging","score":0.7958999872207642,"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":0.7958999872207642,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.03620000183582306,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.023099999874830246,"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/image-warping","display_name":"Image warping","score":0.6736000180244446},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6067000031471252},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4916999936103821},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4799000024795532},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.4560999870300293},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4230000078678131},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4221999943256378},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.40709999203681946},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4047999978065491},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.38940000534057617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124000191688538},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.6736000180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588000059127808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6546000242233276},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6067000031471252},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4916999936103821},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.4560999870300293},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.40709999203681946},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3714999854564667},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.3328999876976013},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.289900004863739},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2603999972343445},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.04877","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.04877","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.04877","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":"pmh:doi:10.48550/arxiv.2602.04877","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5027685761451721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dense":[0],"point":[1,53,125,161],"tracking":[2,126,162],"is":[3,116],"a":[4,50,94],"fundamental":[5],"problem":[6],"in":[7,37,59,67],"computer":[8],"vision,":[9],"with":[10,93],"applications":[11],"ranging":[12],"from":[13,79],"video":[14],"analysis":[15],"to":[16,26,83],"robotic":[17],"manipulation.":[18],"State-of-the-art":[19],"trackers":[20],"typically":[21],"rely":[22],"on":[23,88,122,145],"cost":[24,57],"volumes":[25,58],"match":[27],"features":[28,78],"across":[29,102],"frames,":[30],"but":[31],"this":[32,45],"approach":[33,71],"incurs":[34],"quadratic":[35],"complexity":[36],"spatial":[38],"resolution,":[39],"limiting":[40],"scalability":[41],"and":[42,118,131,149,163],"efficiency.":[43],"In":[44],"paper,":[46],"we":[47],"propose":[48],"\\method,":[49],"novel":[51],"dense":[52,124,160],"tracker":[54],"that":[55,97,155],"eschews":[56],"favor":[60],"of":[61],"warping.":[62],"Inspired":[63],"by":[64,76],"recent":[65],"advances":[66],"optical":[68,139,164],"flow,":[69,140],"our":[70,105],"iteratively":[72],"refines":[73],"track":[74],"estimates":[75],"warping":[77],"the":[80,84,89,134,146],"target":[81],"frame":[82,86],"query":[85],"based":[87],"current":[90],"estimate.":[91],"Combined":[92],"transformer":[95],"architecture":[96],"performs":[98],"joint":[99],"spatiotemporal":[100],"reasoning":[101],"all":[103],"tracks,":[104],"design":[106],"establishes":[107],"long-range":[108],"correspondences":[109],"without":[110],"computing":[111],"feature":[112],"correlations.":[113],"Our":[114],"model":[115,135],"simple":[117],"achieves":[119],"state-of-the-art":[120],"performance":[121],"standard":[123],"benchmarks,":[127],"including":[128],"TAP-Vid-DAVIS,":[129],"TAP-Vid-Kinetics,":[130],"Robo-TAP.":[132],"Remarkably,":[133],"also":[136],"excels":[137],"at":[138],"sometimes":[141],"outperforming":[142],"specialized":[143],"methods":[144],"Sintel,":[147],"KITTI,":[148],"Spring":[150],"benchmarks.":[151],"These":[152],"results":[153],"suggest":[154],"warping-based":[156],"architectures":[157],"can":[158],"unify":[159],"flow":[165],"estimation.":[166]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}
