{"id":"https://openalex.org/W4393299901","doi":"https://doi.org/10.48550/arxiv.2403.18074","title":"Every Shot Counts: Using Exemplars for Repetition Counting in Videos","display_name":"Every Shot Counts: Using Exemplars for Repetition Counting in Videos","publication_year":2024,"publication_date":"2024-03-26","ids":{"openalex":"https://openalex.org/W4393299901","doi":"https://doi.org/10.48550/arxiv.2403.18074"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.18074","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.18074","pdf_url":"https://arxiv.org/pdf/2403.18074","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/2403.18074","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086150502","display_name":"Saptarshi Sinha","orcid":"https://orcid.org/0000-0002-4100-5727"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sinha, Saptarshi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046369742","display_name":"Alexandros Stergiou","orcid":"https://orcid.org/0000-0003-4706-4231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stergiou, Alexandros","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003103666","display_name":"Dima Damen","orcid":"https://orcid.org/0000-0001-8804-6238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Damen, Dima","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086150502"],"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/T11439","display_name":"Video Analysis and Summarization","score":0.9909999966621399,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9909999966621399,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9692999720573425,"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/shot","display_name":"Shot (pellet)","score":0.8669342994689941},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.8099360466003418},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.6389122605323792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4930085837841034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402465283870697},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36487439274787903},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12093675136566162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06770980358123779}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.8669342994689941},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.8099360466003418},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.6389122605323792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4930085837841034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402465283870697},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36487439274787903},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12093675136566162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06770980358123779},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:2403.18074","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.18074","pdf_url":"https://arxiv.org/pdf/2403.18074","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:ris.utwente.nl:publications/d697bd07-32ef-4304-91ba-01605c266428","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.18074","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sinha, S, Stergiou, A & Damen, D 2024 'Every Shot Counts : Using Exemplars for Repetition Counting in Videos' ArXiv.org. < https://arxiv.org/abs/2403.18074 >","raw_type":"info:eu-repo/semantics/preprint"},{"id":"pmh:oai:ris.utwente.nl:openaire/d697bd07-32ef-4304-91ba-01605c266428","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/d697bd07-32ef-4304-91ba-01605c266428","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sinha, S, Stergiou, A & Damen, D 2024 'Every Shot Counts : Using Exemplars for Repetition Counting in Videos' ArXiv.org. < https://arxiv.org/abs/2403.18074 >","raw_type":"info:eu-repo/semantics/preprint"},{"id":"doi:10.48550/arxiv.2403.18074","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.18074","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.18074","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.18074","pdf_url":"https://arxiv.org/pdf/2403.18074","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Video":[0],"repetition":[1],"counting":[2],"infers":[3],"the":[4,53,67,70,116],"number":[5],"of":[6,8,25,47,63,82,118],"repetitions":[7,29],"recurring":[9],"actions":[10],"or":[11],"motion":[12],"within":[13,30,69],"a":[14,77],"video.":[15,71],"We":[16],"propose":[17],"an":[18,41],"exemplar-based":[19],"approach":[20],"that":[21,44,79],"discovers":[22],"visual":[23],"correspondence":[24,65],"video":[26],"exemplars":[27,51,68],"across":[28,108],"target":[31],"videos.":[32,57],"Our":[33],"proposed":[34],"Every":[35],"Shot":[36],"Counts":[37],"(ESCounts)":[38],"model":[39],"is":[40],"attention-based":[42],"encoder-decoder":[43],"encodes":[45,80],"videos":[46],"varying":[48],"lengths":[49],"alongside":[50],"from":[52],"same":[54],"and":[55,101],"different":[56],"In":[58,72],"training,":[59],"ESCounts":[60,104],"regresses":[61],"locations":[62],"high":[64],"to":[66],"tandem,":[73],"our":[74,119],"method":[75],"learns":[76],"latent":[78],"representations":[81],"general":[83],"repetitive":[84],"motions,":[85],"which":[86],"we":[87],"use":[88],"for":[89],"exemplar-free,":[90],"zero-shot":[91],"inference.":[92],"Extensive":[93],"experiments":[94],"over":[95],"commonly":[96],"used":[97],"datasets":[98],"(RepCount,":[99],"Countix,":[100],"UCFRep)":[102],"showcase":[103],"obtaining":[105],"state-of-the-art":[106],"performance":[107],"all":[109],"three":[110],"datasets.":[111],"Detailed":[112],"ablations":[113],"further":[114],"demonstrate":[115],"effectiveness":[117],"method.":[120]},"counts_by_year":[],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
