{"id":"https://openalex.org/W2999161242","doi":"https://doi.org/10.1109/wacv45572.2020.9093509","title":"Classifying All Interacting Pairs in a Single Shot","display_name":"Classifying All Interacting Pairs in a Single Shot","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2999161242","doi":"https://doi.org/10.1109/wacv45572.2020.9093509","mag":"2999161242"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.04360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048195393","display_name":"Sanaa Chafik","orcid":"https://orcid.org/0000-0002-5566-3333"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sanaa Chafik","raw_affiliation_strings":["CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","CEA, LIST, Vision and Learning Lab for Scene Analysis,Gif-sur-Yvette,France,F-91191"],"affiliations":[{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis,Gif-sur-Yvette,France,F-91191","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051480189","display_name":"Astrid Orcesi","orcid":"https://orcid.org/0000-0002-8652-2250"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Astrid Orcesi","raw_affiliation_strings":["CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","CEA, LIST, Vision and Learning Lab for Scene Analysis,Gif-sur-Yvette,France,F-91191"],"affiliations":[{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis,Gif-sur-Yvette,France,F-91191","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066227075","display_name":"Romaric Audigier","orcid":"https://orcid.org/0000-0002-4757-2052"},"institutions":[{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romaric Audigier","raw_affiliation_strings":["CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","CEA, LIST, Vision and Learning Lab for Scene Analysis,Gif-sur-Yvette,France,F-91191"],"affiliations":[{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis,Gif-sur-Yvette,France,F-91191","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073618814","display_name":"Bertrand Luvison","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand Luvison","raw_affiliation_strings":["CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","Commissariat A L'Energie Atomique Et Aux Energies  Alternatives"],"affiliations":[{"raw_affiliation_string":"CEA, LIST, Vision and Learning Lab for Scene Analysis, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"Commissariat A L'Energie Atomique Et Aux Energies  Alternatives","institution_ids":["https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048195393"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00794891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2881","last_page":"2890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8081455826759338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721858978271484},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6593003869056702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6483954191207886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5652811527252197},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5618985295295715},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4384235739707947},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.4284200072288513},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4110374450683594}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8081455826759338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721858978271484},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6593003869056702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6483954191207886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5652811527252197},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5618985295295715},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4384235739707947},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.4284200072288513},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4110374450683594},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.04360","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.04360","pdf_url":"https://arxiv.org/pdf/2001.04360","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-04331226v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04331226","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9093509","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2001.04360","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.04360","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"},{"id":"mag:2999161242","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.04360","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.04360","pdf_url":"https://arxiv.org/pdf/2001.04360","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1551928752","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2123024445","https://openalex.org/W2129156852","https://openalex.org/W2277195237","https://openalex.org/W2479423890","https://openalex.org/W2481240925","https://openalex.org/W2555751471","https://openalex.org/W2565639579","https://openalex.org/W2591644541","https://openalex.org/W2594494421","https://openalex.org/W2607855566","https://openalex.org/W2613718673","https://openalex.org/W2618862450","https://openalex.org/W2763331099","https://openalex.org/W2808675313","https://openalex.org/W2829302659","https://openalex.org/W2884561390","https://openalex.org/W2888096830","https://openalex.org/W2905588046","https://openalex.org/W2922136209","https://openalex.org/W2925742741","https://openalex.org/W2951702519","https://openalex.org/W2955882737","https://openalex.org/W2962737704","https://openalex.org/W2962844592","https://openalex.org/W2963097937","https://openalex.org/W2963314968","https://openalex.org/W2963480047","https://openalex.org/W2963536419","https://openalex.org/W2964225075","https://openalex.org/W2982147439","https://openalex.org/W3099206234","https://openalex.org/W6620707391","https://openalex.org/W6632922691","https://openalex.org/W6639102338","https://openalex.org/W6678470764","https://openalex.org/W6721769334","https://openalex.org/W6730410022","https://openalex.org/W6734787485","https://openalex.org/W6738331400","https://openalex.org/W6739930931","https://openalex.org/W6742348326","https://openalex.org/W6745717611","https://openalex.org/W6753266722","https://openalex.org/W6753874464","https://openalex.org/W6754152559","https://openalex.org/W6756438391","https://openalex.org/W6757478018","https://openalex.org/W6760605899","https://openalex.org/W6760844891"],"related_works":["https://openalex.org/W3025034084","https://openalex.org/W2553782595","https://openalex.org/W2998468986","https://openalex.org/W2803337603","https://openalex.org/W1858576077","https://openalex.org/W2542432701","https://openalex.org/W2149010456","https://openalex.org/W1167987884","https://openalex.org/W2982277980","https://openalex.org/W2962920843","https://openalex.org/W2906435411","https://openalex.org/W2773686509","https://openalex.org/W2894115607","https://openalex.org/W3197822167","https://openalex.org/W806527062","https://openalex.org/W2765456303","https://openalex.org/W2162409847","https://openalex.org/W1948599600","https://openalex.org/W2970684357","https://openalex.org/W63957208"],"abstract_inverted_index":{"In":[0,88,144,205],"this":[1],"paper,":[2],"we":[3,207],"introduce":[4,208],"a":[5,19,22,49,54,60,69,115,126,151,158,181,196,201],"novel":[6],"human":[7,108],"interaction":[8,30,146],"detection":[9],"approach,":[10],"based":[11,52],"on":[12,53,74,82,96,150,219],"CALIPSO":[13],"(Classifying":[14],"ALl":[15],"Interacting":[16],"Pairs":[17],"in":[18,141,258],"Single":[20],"shOt),":[21],"classifier":[23,31],"of":[24,40,57,62,77,85,133,136,154,170,173,177,180,186,234,251,254],"human-object":[25,37,63],"interactions.":[26],"This":[27],"new":[28],"single-shot":[29],"estimates":[32,93,103],"interactions":[33,58,78,95,105,140,257],"simultaneously":[34,102],"for":[35,59],"all":[36,104,107],"pairs,":[38,65],"regardless":[39,250],"their":[41],"number":[42,76,84,135,253],"and":[43,110,129,183,193,229,256],"class.":[44],"State-of-":[45],"the-art":[46,244],"approaches":[47],"adopt":[48],"multi-shot":[50],"strategy":[51],"pairwise":[55],"estimate":[56],"set":[61],"candidate":[64,86],"which":[66,189,214],"leads":[67,124],"to":[68,125,157,195,241],"complexity":[70,128],"depending,":[71],"at":[72,80],"least,":[73],"the":[75,83,90,94,97,120,134,142,171,178,220,232,235,242,252,259],"or,":[79],"most,":[81],"pairs.":[87],"contrast,":[89],"proposed":[91,236],"method":[92,237],"whole":[98],"image.":[99,121,143,260],"Indeed,":[100],"it":[101,123],"between":[106],"subjects":[109],"object":[111],"targets":[112],"by":[113,199],"performing":[114],"single":[116],"forward":[117],"pass":[118],"throughout":[119],"Consequently,":[122],"constant":[127,247],"computation":[130,248],"time":[131,249],"independent":[132],"subjects,":[137],"objects":[138,255],"or":[139],"detail,":[145],"classification":[147],"is":[148],"achieved":[149],"dense":[152],"grid":[153],"anchors":[155],"thanks":[156],"joint":[159],"multi-task":[160],"network":[161],"that":[162],"learns":[163],"three":[164],"complementary":[165],"tasks":[166],"simultaneously:":[167],"(i)":[168],"prediction":[169],"types":[172],"interaction,":[174],"(ii)":[175],"estimation":[176,213],"presence":[179],"target":[182,194],"(iii)":[184],"learning":[185,203],"an":[187,209],"embedding":[188],"maps":[190],"interacting":[191],"subject":[192],"same":[197],"representation,":[198],"using":[200],"metric":[202],"strategy.":[204],"addition,":[206],"object-centric":[210],"passive-voice":[211],"verb":[212],"significantly":[215],"improves":[216],"results.":[217],"Evaluations":[218],"two":[221],"well-known":[222],"Human-Object":[223],"Interaction":[224],"image":[225],"datasets,":[226],"V-":[227],"COCO":[228],"HICO-DET,":[230],"demonstrate":[231],"competitiveness":[233],"(2nd":[238],"place)":[239],"compared":[240],"state-of-":[243],"while":[245],"having":[246]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}