{"id":"https://openalex.org/W2783234901","doi":"https://doi.org/10.1109/msp.2017.2766286","title":"Deep Learning for Visual Understanding: Part 2 [From the Guest Editors]","display_name":"Deep Learning for Visual Understanding: Part 2 [From the Guest Editors]","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2783234901","doi":"https://doi.org/10.1109/msp.2017.2766286","mag":"2783234901"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2017.2766286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2017.2766286","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","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/A5038550641","display_name":"Fatih Porikli","orcid":"https://orcid.org/0000-0002-1520-4466"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatih Porikli","raw_affiliation_strings":["Huawei, Santa Clara, California United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei, Santa Clara, California United States","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024508073","display_name":"Cees G. M. Snoek","orcid":"https://orcid.org/0000-0001-9092-1556"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cees Snoek","raw_affiliation_strings":["QUVA Lab, University of Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"QUVA Lab, University of Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066107323","display_name":"Rahul Sukthankar","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Sukthankar","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444820","display_name":"Xiaogang Wang","orcid":"https://orcid.org/0000-0002-7929-5889"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaogang Wang","raw_affiliation_strings":["Electronic Engineering, Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering, Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7951,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84771915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"1","first_page":"17","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.4982999861240387,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.4982999861240387,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.6727836728096008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6030536890029907},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5924766063690186},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.5879992246627808},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5161986947059631},{"id":"https://openalex.org/keywords/vision-science","display_name":"Vision science","score":0.5122584700584412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4535360336303711},{"id":"https://openalex.org/keywords/civilization","display_name":"Civilization","score":0.44975796341896057},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.44743460416793823},{"id":"https://openalex.org/keywords/blindness","display_name":"Blindness","score":0.4439958930015564},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4351412057876587},{"id":"https://openalex.org/keywords/wonder","display_name":"Wonder","score":0.4284449815750122},{"id":"https://openalex.org/keywords/beauty","display_name":"Beauty","score":0.4247596263885498},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.29326510429382324},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.22745123505592346},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1330181062221527}],"concepts":[{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.6727836728096008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6030536890029907},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5924766063690186},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.5879992246627808},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5161986947059631},{"id":"https://openalex.org/C200220432","wikidata":"https://www.wikidata.org/wiki/Q7936208","display_name":"Vision science","level":2,"score":0.5122584700584412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4535360336303711},{"id":"https://openalex.org/C122302079","wikidata":"https://www.wikidata.org/wiki/Q8432","display_name":"Civilization","level":2,"score":0.44975796341896057},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.44743460416793823},{"id":"https://openalex.org/C2780929884","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Blindness","level":2,"score":0.4439958930015564},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4351412057876587},{"id":"https://openalex.org/C2780573756","wikidata":"https://www.wikidata.org/wiki/Q977433","display_name":"Wonder","level":2,"score":0.4284449815750122},{"id":"https://openalex.org/C2780620123","wikidata":"https://www.wikidata.org/wiki/Q7242","display_name":"Beauty","level":2,"score":0.4247596263885498},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29326510429382324},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.22745123505592346},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1330181062221527},{"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/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2017.2766286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2017.2766286","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W752583723","https://openalex.org/W4401628917","https://openalex.org/W2744547489","https://openalex.org/W2809947118","https://openalex.org/W4230963413","https://openalex.org/W2321205926","https://openalex.org/W2022638962","https://openalex.org/W3195975068","https://openalex.org/W4200115254","https://openalex.org/W627696415"],"abstract_inverted_index":{"Visual":[0],"perception":[1],"is":[2,43,121,140,147],"one":[3],"of":[4,17,71,126,136,150],"our":[5,19,36],"most":[6,125,135],"essential":[7],"and":[8,22,65,109,134,195],"fundamental":[9],"abilities":[10],"that":[11,26,124,152,174],"enables":[12],"us":[13,31],"to":[14,32,38,100,116,163,198],"make":[15,164],"sense":[16],"what":[18],"eyes":[20,57],"see":[21],"interpret":[23],"the":[24,127,131,148,167,171],"world":[25],"surrounds":[27],"us.":[28],"It":[29,120,178],"allows":[30],"function":[33],"and,":[34],"thus,":[35],"civilization":[37],"survive.":[39],"No":[40],"sensory":[41],"loss":[42],"more":[44],"debilitating":[45],"than":[46],"blindness":[47],"as":[48,184],"we":[49,112],"are,":[50],"above":[51],"all,":[52],"visual":[53,143,156],"beings.":[54],"Close":[55],"your":[56,74,77],"for":[58,155],"a":[59,84,87,102,200],"moment":[60],"after":[61],"reading":[62,83],"this":[63,117],"sentence":[64],"try":[66],"grabbing":[67],"something":[68,92],"in":[69,76,130,170],"front":[70],"you,":[72],"navigating":[73],"way":[75,173],"environment,":[78],"or":[79,89],"just":[80],"walking":[81],"straight,":[82],"book,":[85],"playing":[86],"game,":[88],"perhaps":[90],"learning":[91],"new.":[93],"Of":[94],"course,":[95],"please":[96],"do":[97],"not":[98],"attempt":[99],"drive":[101],"vehicle.":[103],"As":[104],"you":[105],"would":[106],"realize":[107],"again":[108],"appreciate":[110],"profoundly,":[111],"owe":[113],"so":[114],"much":[115],"amazing":[118],"facility.":[119],"no":[122],"coincidence":[123],"electrical":[128],"activity":[129],"human":[132,175],"brain":[133],"its":[137],"cerebral":[138],"cortex":[139],"associated":[141],"with":[142],"understanding.":[144],"Computer":[145],"vision":[146,176],"field":[149],"study":[151],"develops":[153],"solutions":[154],"perception.":[157],"In":[158],"other":[159],"words,":[160],"it":[161],"aims":[162],"computers":[165],"understand":[166],"seen":[168],"data":[169,196],"same":[172],"does.":[177],"incorporates":[179],"several":[180],"scientific":[181],"disciplines":[182],"such":[183],"signal":[185],"processing,":[186],"machine":[187],"learning,":[188],"applied":[189],"mathematics,":[190],"sensing,":[191],"geometry,":[192],"optimization,":[193],"statistics,":[194],"sciences":[197],"name":[199],"few.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}