{"id":"https://openalex.org/W4308619093","doi":"https://doi.org/10.48550/arxiv.2211.03726","title":"TAP-Vid: A Benchmark for Tracking Any Point in a Video","display_name":"TAP-Vid: A Benchmark for Tracking Any Point in a Video","publication_year":2022,"publication_date":"2022-11-07","ids":{"openalex":"https://openalex.org/W4308619093","doi":"https://doi.org/10.48550/arxiv.2211.03726"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2211.03726","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.03726","pdf_url":"https://arxiv.org/pdf/2211.03726","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.03726","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081047759","display_name":"Carl Doersch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doersch, Carl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101766825","display_name":"Ankush Gupta","orcid":"https://orcid.org/0000-0003-4847-6481"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Ankush","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799439","display_name":"Larisa Markeeva","orcid":"https://orcid.org/0000-0002-7453-0827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markeeva, Larisa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020406406","display_name":"Adri\u00e0 Recasens","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Recasens, Adri\u00e0","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061684299","display_name":"Lucas Smaira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smaira, Lucas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056410851","display_name":"Yusuf Aytar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aytar, Yusuf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057909195","display_name":"Jo\u00e3o Carreira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carreira, Jo\u00e3o","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057678172","display_name":"Andrew Zisserman","orcid":"https://orcid.org/0000-0002-8945-8573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zisserman, Andrew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yi","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":true,"cited_by_count":26,"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":0.9990000128746033,"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":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9959999918937683,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9847999811172485,"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/benchmark","display_name":"Benchmark (surveying)","score":0.9252855181694031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110761642456055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7546341419219971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6997758150100708},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6674288511276245},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6673909425735474},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6310795545578003},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5172191858291626},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5122589468955994},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5059804320335388},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4541075825691223},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4443022310733795},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.43846020102500916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13740989565849304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07585293054580688}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.9252855181694031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110761642456055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7546341419219971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6997758150100708},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6674288511276245},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6673909425735474},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6310795545578003},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5172191858291626},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5122589468955994},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5059804320335388},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4541075825691223},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4443022310733795},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.43846020102500916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13740989565849304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07585293054580688},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2211.03726","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.03726","pdf_url":"https://arxiv.org/pdf/2211.03726","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2211.03726","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.03726","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:2211.03726","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.03726","pdf_url":"https://arxiv.org/pdf/2211.03726","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2012410061","https://openalex.org/W2562256921","https://openalex.org/W2053610073","https://openalex.org/W2970427506","https://openalex.org/W2971088694"],"abstract_inverted_index":{"Generic":[0],"motion":[1,126],"understanding":[2],"from":[3],"video":[4,46],"involves":[5],"not":[6],"only":[7],"tracking":[8,38,71,152],"objects,":[9],"but":[10],"also":[11],"perceiving":[12],"how":[13],"their":[14],"surfaces":[15,43],"deform":[16],"and":[17,31,95,146],"move.":[18],"This":[19],"information":[20],"is":[21,82,110],"useful":[22],"to":[23,104,121,132],"make":[24],"inferences":[25],"about":[26],"3D":[27],"shape,":[28],"physical":[29,40],"properties":[30],"object":[32],"interactions.":[33],"While":[34],"the":[35,67,105],"problem":[36],"of":[37,84,92,107,137],"arbitrary":[39],"points":[41],"on":[42,134,143,162,167],"over":[44],"longer":[45],"clips":[47],"has":[48],"received":[49],"some":[50],"attention,":[51],"no":[52],"dataset":[53],"or":[54],"benchmark":[55,109,164],"for":[56,123],"evaluation":[57],"existed,":[58],"until":[59],"now.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"first":[65],"formalize":[66],"problem,":[68],"naming":[69],"it":[70,157],"any":[72],"point":[73,93,101,151],"(TAP).":[74],"We":[75,139],"introduce":[76],"a":[77,111,148],"companion":[78],"benchmark,":[79],"TAP-Vid,":[80],"which":[81,116],"composed":[83],"both":[85],"real-world":[86],"videos":[87,97],"with":[88,98],"accurate":[89],"human":[90],"annotations":[91],"tracks,":[94],"synthetic":[96,144,168],"perfect":[99],"ground-truth":[100],"tracks.":[102],"Central":[103],"construction":[106],"our":[108,141,163],"novel":[112],"semi-automatic":[113],"crowdsourced":[114],"pipeline":[115,142],"uses":[117],"optical":[118],"flow":[119],"estimates":[120],"compensate":[122],"easier,":[124],"short-term":[125],"like":[127],"camera":[128],"shake,":[129],"allowing":[130],"annotators":[131],"focus":[133],"harder":[135],"sections":[136],"video.":[138],"validate":[140],"data":[145],"propose":[147],"simple":[149],"end-to-end":[150],"model":[153],"TAP-Net,":[154],"showing":[155],"that":[156],"outperforms":[158],"all":[159],"prior":[160],"methods":[161],"when":[165],"trained":[166],"data.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
