{"id":"https://openalex.org/W3035012345","doi":"https://doi.org/10.1109/icme46284.2020.9102760","title":"A Novel Convolutional Architecture For Video-Text Retrieval","display_name":"A Novel Convolutional Architecture For Video-Text Retrieval","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3035012345","doi":"https://doi.org/10.1109/icme46284.2020.9102760","mag":"3035012345"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100415053","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0003-2535-2523"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058648594","display_name":"Caili Guo","orcid":"https://orcid.org/0000-0001-8892-4520"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caili Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657704","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-9527-1636"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019172074","display_name":"Zerun Feng","orcid":"https://orcid.org/0000-0003-3987-0591"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zerun Feng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100396834","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0001-9786-5008"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.598,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74672097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3361","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8633189797401428},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.8029142022132874},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7180504202842712},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6929137706756592},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6430894136428833},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5555494427680969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5058445930480957},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.4936026334762573},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46800413727760315},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4589044451713562},{"id":"https://openalex.org/keywords/text-retrieval","display_name":"Text retrieval","score":0.43503546714782715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39096033573150635},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2134077548980713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09761863946914673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8633189797401428},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.8029142022132874},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7180504202842712},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6929137706756592},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6430894136428833},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5555494427680969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058445930480957},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.4936026334762573},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46800413727760315},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4589044451713562},{"id":"https://openalex.org/C2985933255","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Text retrieval","level":2,"score":0.43503546714782715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39096033573150635},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2134077548980713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09761863946914673},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"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":38,"referenced_works":["https://openalex.org/W877909479","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1527575280","https://openalex.org/W1538131130","https://openalex.org/W1614298861","https://openalex.org/W2097117768","https://openalex.org/W2164290393","https://openalex.org/W2194775991","https://openalex.org/W2425121537","https://openalex.org/W2519091744","https://openalex.org/W2565656701","https://openalex.org/W2567070169","https://openalex.org/W2613904329","https://openalex.org/W2753311918","https://openalex.org/W2774267535","https://openalex.org/W2774596107","https://openalex.org/W2808399042","https://openalex.org/W2885775891","https://openalex.org/W2949382160","https://openalex.org/W2949714012","https://openalex.org/W2950577311","https://openalex.org/W2963499204","https://openalex.org/W2963970792","https://openalex.org/W2964121744","https://openalex.org/W2964265128","https://openalex.org/W2970654126","https://openalex.org/W2975813532","https://openalex.org/W3102887392","https://openalex.org/W6631190155","https://openalex.org/W6631516269","https://openalex.org/W6632100814","https://openalex.org/W6636510571","https://openalex.org/W6684090549","https://openalex.org/W6731370813","https://openalex.org/W6737778391","https://openalex.org/W6747225742","https://openalex.org/W6763833559"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2940472653","https://openalex.org/W2253069048","https://openalex.org/W2804553224","https://openalex.org/W140709781","https://openalex.org/W3214340375"],"abstract_inverted_index":{"The":[0],"prevalent":[1],"video-text":[2,95],"retrieval":[3,96],"methods":[4],"usually":[5],"use":[6,62],"recurrent":[7,39],"neural":[8,35],"networks":[9],"to":[10,38,56,71],"encode":[11],"sequences":[12,18],"of":[13,19,65,68,75,80],"frames":[14],"in":[15,21],"videos":[16],"and":[17,45,77,82,99],"words":[20],"text.":[22,83],"In":[23],"this":[24],"paper,":[25],"we":[26],"introduce":[27],"an":[28],"encoding":[29,74],"architecture":[30],"based":[31],"entirely":[32],"on":[33,97],"convolutional":[34],"networks.":[36],"Compared":[37],"models,":[40],"the":[41,59,63,73,94],"complexity":[42],"is":[43],"smaller,":[44],"computations":[46],"over":[47],"all":[48],"elements":[49],"can":[50],"be":[51],"fully":[52],"parallelized":[53],"during":[54],"training":[55,104],"better":[57],"exploit":[58],"GPU.":[60],"We":[61],"stacking":[64],"convolution":[66],"kernels":[67],"different":[69],"scales":[70],"realize":[72],"local":[76],"long-term":[78],"features":[79],"video":[81],"Experiments":[84],"validate":[85],"that":[86],"our":[87],"method":[88],"achieves":[89],"a":[90],"new":[91],"state-of-the-art":[92],"for":[93],"MSR-VTT":[98],"MSVD":[100],"datasets":[101],"with":[102],"less":[103],"time.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}