{"id":"https://openalex.org/W2883712957","doi":"https://doi.org/10.1007/s11263-018-1109-z","title":"End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection","display_name":"End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection","publication_year":2018,"publication_date":"2018-07-17","ids":{"openalex":"https://openalex.org/W2883712957","doi":"https://doi.org/10.1007/s11263-018-1109-z","mag":"2883712957"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-018-1109-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-018-1109-z","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009010754","display_name":"Taylor Mordan","orcid":"https://orcid.org/0000-0002-4775-9239"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Taylor Mordan","raw_affiliation_strings":["CNRS, Laboratoire d\u2019Informatique de Paris 6, LIP6, Sorbonne Universit\u00e9, 75005, Paris, France","Thales Land and Air Systems, 2 Avenue Gay-Lussac, 78990, \u00c9lancourt, France","MLIA - Machine Learning and Information Access (France)","Thales LAS France (2 AV GAY LUSSAC, 78990 ELANCOURT - France)"],"raw_orcid":"https://orcid.org/0000-0002-4775-9239","affiliations":[{"raw_affiliation_string":"CNRS, Laboratoire d\u2019Informatique de Paris 6, LIP6, Sorbonne Universit\u00e9, 75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Thales Land and Air Systems, 2 Avenue Gay-Lussac, 78990, \u00c9lancourt, France","institution_ids":["https://openalex.org/I4210140930"]},{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]},{"raw_affiliation_string":"Thales LAS France (2 AV GAY LUSSAC, 78990 ELANCOURT - France)","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017490804","display_name":"Nicolas Thome","orcid":"https://orcid.org/0000-0003-4871-3045"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'\u00e9tudes et de recherche en informatique et communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562","https://openalex.org/I4210145724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Thome","raw_affiliation_strings":["CEDRIC, Conservatoire National des Arts et M\u00e9tiers, 292 Rue St Martin, 75003, Paris, France","CEDRIC - Centre d'\u00e9tudes et de recherche en informatique et communications (292 rue Saint-Martin \r\n75141 PARIS Cedex 03\r\nCase courrier 2D4P30 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEDRIC, Conservatoire National des Arts et M\u00e9tiers, 292 Rue St Martin, 75003, Paris, France","institution_ids":["https://openalex.org/I124158823","https://openalex.org/I4210145724"]},{"raw_affiliation_string":"CEDRIC - Centre d'\u00e9tudes et de recherche en informatique et communications (292 rue Saint-Martin \r\n75141 PARIS Cedex 03\r\nCase courrier 2D4P30 - France)","institution_ids":["https://openalex.org/I4210145724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083576239","display_name":"Gilles H\u00e9naff","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Henaff","raw_affiliation_strings":["Thales Land and Air Systems, 2 Avenue Gay-Lussac, 78990, \u00c9lancourt, France","Thales LAS France (2 AV GAY LUSSAC, 78990 ELANCOURT - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Land and Air Systems, 2 Avenue Gay-Lussac, 78990, \u00c9lancourt, France","institution_ids":["https://openalex.org/I4210140930"]},{"raw_affiliation_string":"Thales LAS France (2 AV GAY LUSSAC, 78990 ELANCOURT - France)","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108118084","display_name":"Matthieu Cord","orcid":"https://orcid.org/0000-0002-0627-5844"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Cord","raw_affiliation_strings":["CNRS, Laboratoire d\u2019Informatique de Paris 6, LIP6, Sorbonne Universit\u00e9, 75005, Paris, France","MLIA - Machine Learning and Information Access (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Laboratoire d\u2019Informatique de Paris 6, LIP6, Sorbonne Universit\u00e9, 75005, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"MLIA - Machine Learning and Information Access (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009010754"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210140930","https://openalex.org/I4210159731"],"apc_list":{"value":3690,"currency":"USD","value_usd":3690},"apc_paid":null,"fwci":2.7963,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.91363321,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"127","issue":"11-12","first_page":"1659","last_page":"1679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948999881744385,"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/pascal","display_name":"Pascal (unit)","score":0.7705084681510925},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7634677886962891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7573155164718628},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7369956970214844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6805341243743896},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6747766733169556},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5867346525192261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5561203956604004},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5340399146080017},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4953416883945465},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47823184728622437},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44181764125823975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34834957122802734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3467538356781006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2352025806903839}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7705084681510925},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7634677886962891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7573155164718628},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7369956970214844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805341243743896},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6747766733169556},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5867346525192261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5561203956604004},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5340399146080017},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4953416883945465},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47823184728622437},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44181764125823975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34834957122802734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467538356781006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2352025806903839},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-018-1109-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-018-1109-z","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01842031v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01842031","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Vision, 2018, &#x27E8;10.1007/s11263-018-1109-z&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G3964255678","display_name":"Machine learning with deep neural networks","funder_award_id":"ANR-16-CE23-0006","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6881384457","display_name":"Learning highly complex visual problems with deep structured models","funder_award_id":"ANR-15-CE23-0029","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W166750225","https://openalex.org/W1496650988","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1931778309","https://openalex.org/W1932624639","https://openalex.org/W1955942245","https://openalex.org/W1960289438","https://openalex.org/W1963826206","https://openalex.org/W1964005749","https://openalex.org/W1968933322","https://openalex.org/W2037227137","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2117539524","https://openalex.org/W2124592697","https://openalex.org/W2141357020","https://openalex.org/W2147800946","https://openalex.org/W2147880316","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2286929393","https://openalex.org/W2288122362","https://openalex.org/W2317851288","https://openalex.org/W2322480645","https://openalex.org/W2407521645","https://openalex.org/W2462457117","https://openalex.org/W2549139847","https://openalex.org/W2555182955","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2587023323","https://openalex.org/W2601564443","https://openalex.org/W2605480273","https://openalex.org/W2613718673","https://openalex.org/W2736330435","https://openalex.org/W2738853914","https://openalex.org/W2776638780","https://openalex.org/W2953106684","https://openalex.org/W2962835968","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963296245","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2963549237","https://openalex.org/W2963717374","https://openalex.org/W2963721262","https://openalex.org/W2963840672","https://openalex.org/W2963935758","https://openalex.org/W2964137095","https://openalex.org/W2964297960","https://openalex.org/W3106250896","https://openalex.org/W6733355355"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W1495267108"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
