{"id":"https://openalex.org/W2982151492","doi":"https://doi.org/10.1145/3343031.3351019","title":"Self-supervised Representation Learning Using 360\u00b0 Data","display_name":"Self-supervised Representation Learning Using 360\u00b0 Data","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982151492","doi":"https://doi.org/10.1145/3343031.3351019","mag":"2982151492"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351019","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5100608759","display_name":"Junnan Li","orcid":"https://orcid.org/0000-0002-5217-9204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junnan Li","raw_affiliation_strings":["Salesforce Research Asia, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce Research Asia, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020006712","display_name":"Yongkang Wong","orcid":"https://orcid.org/0000-0002-1239-4428"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongkang Wong","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621115","display_name":"Shoji Nishimura","orcid":"https://orcid.org/0000-0001-5975-2002"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Nishimura","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan S. Kankanhalli","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"998","last_page":"1006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.8261876106262207},{"id":"https://openalex.org/keywords/panorama","display_name":"Panorama","score":0.7631039619445801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7586396932601929},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5525217652320862},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5430490374565125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5126218199729919},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.510480523109436},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5018866062164307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49440526962280273},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4870215058326721},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48480263352394104},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48163241147994995},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4705664813518524},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46813639998435974},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45054587721824646},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43972715735435486},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.43728089332580566},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4368308484554291},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23928335309028625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08042532205581665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8261876106262207},{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.7631039619445801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7586396932601929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5525217652320862},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5430490374565125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5126218199729919},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.510480523109436},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5018866062164307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49440526962280273},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4870215058326721},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48480263352394104},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48163241147994995},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4705664813518524},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46813639998435974},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45054587721824646},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43972715735435486},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.43728089332580566},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4368308484554291},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23928335309028625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08042532205581665},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3351019","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W189596042","https://openalex.org/W219040644","https://openalex.org/W1520997877","https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W2025768430","https://openalex.org/W2031489346","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2110798204","https://openalex.org/W2120480077","https://openalex.org/W2126398289","https://openalex.org/W2134670479","https://openalex.org/W2146814781","https://openalex.org/W2160398734","https://openalex.org/W2163605009","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2342877626","https://openalex.org/W2487442924","https://openalex.org/W2523974527","https://openalex.org/W2550462002","https://openalex.org/W2558661413","https://openalex.org/W2565955132","https://openalex.org/W2575671312","https://openalex.org/W2593745480","https://openalex.org/W2599837529","https://openalex.org/W2610018085","https://openalex.org/W2622637199","https://openalex.org/W2750549109","https://openalex.org/W2766321750","https://openalex.org/W2769857323","https://openalex.org/W2785325870","https://openalex.org/W2798271879","https://openalex.org/W2798665861","https://openalex.org/W2798680770","https://openalex.org/W2798802295","https://openalex.org/W2890119807","https://openalex.org/W2895640967","https://openalex.org/W2895957446","https://openalex.org/W2950187998","https://openalex.org/W2962969419","https://openalex.org/W2963192800","https://openalex.org/W2963265008","https://openalex.org/W2963339238","https://openalex.org/W2963691181","https://openalex.org/W2963826370","https://openalex.org/W2964037671"],"related_works":["https://openalex.org/W2393825039","https://openalex.org/W2951694738","https://openalex.org/W3036977332","https://openalex.org/W2352220358","https://openalex.org/W1989085122","https://openalex.org/W2051913996","https://openalex.org/W2370281691","https://openalex.org/W2109399350","https://openalex.org/W4297089240","https://openalex.org/W2515319207"],"abstract_inverted_index":{"The":[0],"amount":[1,24],"of":[2,15,25,60,162],"360-degree":[3,41,67,120],"panoramas":[4],"shared":[5],"online":[6],"has":[7],"been":[8],"rapidly":[9],"increasing":[10],"due":[11],"to":[12,38,78,95,126,189],"the":[13,35,57,80,114,124,148,153,182,187],"availability":[14],"affordable":[16],"and":[17,122,141,174],"compact":[18],"omnidirectional":[19],"cameras,":[20],"which":[21,55,196],"offers":[22],"huge":[23],"new":[26,51],"information":[27,117],"unavailable":[28],"before.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"present":[34],"first":[36],"work":[37],"exploit":[39],"unlabeled":[40],"data":[42],"for":[43,158],"image":[44,68,82,103],"representation":[45,150],"learning.":[46],"We":[47,72,144,177],"propose":[48],"middle-out,":[49],"a":[50,66,74,89,135,159],"self-supervised":[52,97,198],"learning":[53,199],"task,":[54],"leverages":[56,113],"spatial":[58],"configuration":[59],"normal":[61],"field-of-view":[62],"images":[63,86,121],"sampled":[64,87],"from":[65,88],"as":[69],"supervisory":[70],"signal.":[71],"train":[73,100],"Siamese":[75],"ConvNet":[76,188],"model":[77,125],"identify":[79],"middle":[81],"among":[83],"three":[84],"shuffled":[85],"panorama":[90],"by":[91],"perspective":[92],"projection.":[93],"Compared":[94],"previous":[96,197],"methods":[98,200],"that":[99,147,181],"models":[101],"using":[102,152],"patches":[104],"or":[105],"video":[106],"frames":[107],"with":[108],"limited":[109],"field-of-view,":[110],"our":[111],"method":[112,184],"rich":[115],"semantic":[116,172,192],"contained":[118],"in":[119],"enforces":[123],"not":[127,202],"only":[128],"learn":[129],"about":[130,138],"objects,":[131],"but":[132],"also":[133,178],"develop":[134],"higher-level":[136],"understanding":[137],"object":[139,166,168],"relationships":[140],"scene":[142,170],"structures.":[143],"quantitatively":[145],"demonstrate":[146],"feature":[149],"learned":[151],"proposed":[154,183],"task":[155],"is":[156],"useful":[157],"wide":[160],"range":[161],"vision":[163],"tasks":[164],"including":[165],"classification,":[167,171],"detection,":[169],"segmentation,":[173],"geometry":[175],"estimation.":[176],"qualitatively":[179],"show":[180],"can":[185],"enforce":[186],"extract":[190],"high-level":[191],"concepts,":[193],"an":[194],"ability":[195],"have":[201],"acquired.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}