{"id":"https://openalex.org/W2885917416","doi":"https://doi.org/10.1007/978-3-030-20876-9_27","title":"TraMNet - Transition Matrix Network for Efficient Action Tube Proposals","display_name":"TraMNet - Transition Matrix Network for Efficient Action Tube Proposals","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2885917416","doi":"https://doi.org/10.1007/978-3-030-20876-9_27","mag":"2885917416"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-20876-9_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-20876-9_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5079975492","display_name":"Gurkirt Singh","orcid":"https://orcid.org/0000-0002-9260-3831"},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gurkirt Singh","raw_affiliation_strings":["Visual Artificial Intelligence Laboratory (VAIL), Oxford Brookes University, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Visual Artificial Intelligence Laboratory (VAIL), Oxford Brookes University, Oxford, UK","institution_ids":["https://openalex.org/I124261462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029877298","display_name":"Suman Saha","orcid":"https://orcid.org/0000-0003-1492-2738"},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Suman Saha","raw_affiliation_strings":["Visual Artificial Intelligence Laboratory (VAIL), Oxford Brookes University, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Visual Artificial Intelligence Laboratory (VAIL), Oxford Brookes University, Oxford, UK","institution_ids":["https://openalex.org/I124261462"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050777136","display_name":"Fabio Cuzzolin","orcid":"https://orcid.org/0000-0002-9271-2130"},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fabio Cuzzolin","raw_affiliation_strings":["Visual Artificial Intelligence Laboratory (VAIL), Oxford Brookes University, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Visual Artificial Intelligence Laboratory (VAIL), Oxford Brookes University, Oxford, UK","institution_ids":["https://openalex.org/I124261462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079975492"],"corresponding_institution_ids":["https://openalex.org/I124261462"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0252,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76450636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T12290","display_name":"Human Motion and Animation","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stochastic-matrix","display_name":"Stochastic matrix","score":0.7292076349258423},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6889748573303223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6450849771499634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5629091858863831},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5437984466552734},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5348647236824036},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5043536424636841},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4771922826766968},{"id":"https://openalex.org/keywords/state-transition-matrix","display_name":"State-transition matrix","score":0.44569188356399536},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.43776223063468933},{"id":"https://openalex.org/keywords/cuboid","display_name":"Cuboid","score":0.4217669665813446},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.41407954692840576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3930701017379761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2891080379486084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22339245676994324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17411041259765625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15609434247016907},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14673858880996704},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.13501793146133423},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.12715739011764526}],"concepts":[{"id":"https://openalex.org/C49555168","wikidata":"https://www.wikidata.org/wiki/Q176583","display_name":"Stochastic matrix","level":3,"score":0.7292076349258423},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6889748573303223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450849771499634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5629091858863831},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5437984466552734},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5348647236824036},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5043536424636841},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4771922826766968},{"id":"https://openalex.org/C22629506","wikidata":"https://www.wikidata.org/wiki/Q7602993","display_name":"State-transition matrix","level":4,"score":0.44569188356399536},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.43776223063468933},{"id":"https://openalex.org/C203527163","wikidata":"https://www.wikidata.org/wiki/Q262959","display_name":"Cuboid","level":2,"score":0.4217669665813446},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.41407954692840576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3930701017379761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2891080379486084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22339245676994324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17411041259765625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15609434247016907},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14673858880996704},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.13501793146133423},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.12715739011764526},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-20876-9_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-20876-9_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1488001421","https://openalex.org/W1651836687","https://openalex.org/W1797109199","https://openalex.org/W1867429401","https://openalex.org/W1923332106","https://openalex.org/W1927052826","https://openalex.org/W1945129080","https://openalex.org/W2009139688","https://openalex.org/W2009285864","https://openalex.org/W2018068650","https://openalex.org/W2102605133","https://openalex.org/W2126574503","https://openalex.org/W2175354415","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2336403884","https://openalex.org/W2460371498","https://openalex.org/W2519080876","https://openalex.org/W2570343428","https://openalex.org/W2605111198","https://openalex.org/W2611596598","https://openalex.org/W2612076919","https://openalex.org/W2613718673","https://openalex.org/W2618799552","https://openalex.org/W2962722947","https://openalex.org/W2962790054","https://openalex.org/W2962803561","https://openalex.org/W2963351448","https://openalex.org/W2963524571","https://openalex.org/W2963823258","https://openalex.org/W3106250896","https://openalex.org/W4210601467"],"related_works":["https://openalex.org/W4313255014","https://openalex.org/W2111006907","https://openalex.org/W4309394550","https://openalex.org/W2924050502","https://openalex.org/W2964166085","https://openalex.org/W4386320393","https://openalex.org/W2072823348","https://openalex.org/W2094204709","https://openalex.org/W1201664832","https://openalex.org/W4312858846"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
