{"id":"https://openalex.org/W3073329952","doi":"https://doi.org/10.1145/3388770.3407409","title":"Unsupervised Learning of Visual Representations by Solving Shuffled Long Video-Frames Temporal Order Prediction","display_name":"Unsupervised Learning of Visual Representations by Solving Shuffled Long Video-Frames Temporal Order Prediction","publication_year":2020,"publication_date":"2020-08-15","ids":{"openalex":"https://openalex.org/W3073329952","doi":"https://doi.org/10.1145/3388770.3407409","mag":"3073329952"},"language":"en","primary_location":{"id":"doi:10.1145/3388770.3407409","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388770.3407409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2020 Posters","raw_type":"proceedings-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/A5061240976","display_name":"Fatemeh Siar","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Fatemeh Siar","raw_affiliation_strings":["Amirkabir University of Technology (Tehran polytechnic), Iran"],"affiliations":[{"raw_affiliation_string":"Amirkabir University of Technology (Tehran polytechnic), Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076883589","display_name":"Amin Gheibi","orcid":"https://orcid.org/0000-0002-0364-7585"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amin Gheibi","raw_affiliation_strings":["Amirkabir University of Technology (Tehran polytechnic), Iran"],"affiliations":[{"raw_affiliation_string":"Amirkabir University of Technology (Tehran polytechnic), Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027094623","display_name":"Ali Mohades","orcid":"https://orcid.org/0000-0002-6118-2245"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Mohades","raw_affiliation_strings":["Amirkabir University of Technology (Tehran polytechnic), Iran"],"affiliations":[{"raw_affiliation_string":"Amirkabir University of Technology (Tehran polytechnic), Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061240976"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.7816,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74270686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9965999722480774,"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":0.7051814794540405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6265089511871338},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5376772284507751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39941900968551636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38830357789993286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32424938678741455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7051814794540405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6265089511871338},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5376772284507751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39941900968551636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38830357789993286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32424938678741455}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3388770.3407409","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388770.3407409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2020 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"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/W3196155444","https://openalex.org/W4287665842","https://openalex.org/W3209574120","https://openalex.org/W3087576162","https://openalex.org/W3210156800","https://openalex.org/W3095538999","https://openalex.org/W3046775127","https://openalex.org/W3123344745","https://openalex.org/W4306321456","https://openalex.org/W3007915134"],"abstract_inverted_index":{"There":[0],"is":[1],"lots":[2],"of":[3,32],"hidden":[4],"information":[5],"behind":[6],"the":[7,28,34,50,70,78],"sequential":[8],"data":[9],"and":[10],"their":[11],"sequences.":[12],"We":[13,26,67],"proposed":[14,55],"a":[15,44,56,85],"model":[16],"for":[17],"learning":[18],"visual":[19],"representation":[20],"by":[21,83,90,97],"solving":[22],"order":[23,74,81],"prediction":[24,75],"task.":[25],"concatenated":[27],"frame":[29,51,80,86],"pairs,":[30],"instead":[31],"concatenating":[33],"feature":[35],"pairs.":[36,52],"This":[37],"concatenation":[38],"makes":[39],"it":[40],"possible":[41],"to":[42,46,77],"apply":[43],"3D-CNN":[45],"extract":[47],"features":[48],"from":[49,87],"Also,":[53],"we":[54],"new":[57],"grouping,":[58],"which":[59],"have":[60,68],"achieved":[61],"80":[62],"percent":[63],"accuracy":[64],"on":[65],"average.":[66],"modified":[69],"shuffled":[71,79],"video":[72],"clips":[73],"task":[76,94],"prediction,":[82],"selecting":[84],"each":[88],"clip,":[89],"random.":[91],"Then":[92],"this":[93],"was":[95],"solved":[96],"applying":[98],"our":[99],"model.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}