{"id":"https://openalex.org/W2963236152","doi":"https://doi.org/10.1109/icip.2017.8296449","title":"Regularizing face verification nets for pain intensity regression","display_name":"Regularizing face verification nets for pain intensity regression","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2963236152","doi":"https://doi.org/10.1109/icip.2017.8296449","mag":"2963236152"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296449","doi":"https://doi.org/10.1109/icip.2017.8296449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296449","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1702.06925","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031526471","display_name":"Feng Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Dept. of Computer Science, Baltimore, MD, USA","Dept. of EE, UESTC, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Baltimore, MD, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of EE, UESTC, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060817282","display_name":"Xiang Xiang","orcid":"https://orcid.org/0000-0003-0606-6193","observed_orcids":["https://orcid.org/0000-0003-0606-6193"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Xiang","raw_affiliation_strings":["Dept. of Computer Science, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353359","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0003-3094-8153","observed_orcids":["https://orcid.org/0000-0003-3094-8153"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Dept. of CS, Tsinghua University, Beijing, China","Dept. of Computer Science, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CS, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science, Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101413113","display_name":"Trac Duy Tran","orcid":"https://orcid.org/0000-0002-0421-8416","observed_orcids":["https://orcid.org/0000-0002-0421-8416"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trac D. Tran","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073346635","display_name":"Austin Reiter","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Austin Reiter","raw_affiliation_strings":["Dept. of Computer Science, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041383246","display_name":"Gregory D. Hager","orcid":"https://orcid.org/0000-0002-6662-9763","observed_orcids":["https://orcid.org/0000-0002-6662-9763"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gregory D. Hager","raw_affiliation_strings":["Dept. of Computer Science, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032526919","display_name":"Harry Quon","orcid":"https://orcid.org/0000-0001-7605-4329","observed_orcids":["https://orcid.org/0000-0001-7605-4329"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harry Quon","raw_affiliation_strings":["Dept. of Radiation Oncology Johns Hopkins University, Baltimore, MD, USA","Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Radiation Oncology Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039059630","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0001-6966-0531","observed_orcids":["https://orcid.org/0000-0001-6966-0531"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["Dept. of EE, UESTC, Chengdu, Sichuan, China","Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of EE, UESTC, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086706224","display_name":"Alan Yuille","orcid":"https://orcid.org/0000-0001-5207-9249","observed_orcids":["https://orcid.org/0000-0001-5207-9249"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alan L. Yuille","raw_affiliation_strings":["Dept. of Computer Science, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Baltimore, MD, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0092,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.98495645,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1087","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6532999873161316,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6532999873161316,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.3086000084877014,"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/T10057","display_name":"Face and Expression Recognition","score":0.008799999952316284,"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/transfer-learning","display_name":"transfer learning","score":0.7369999885559082},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.7689999938011169},{"id":"https://openalex.org/keywords/shoulder-pain","display_name":"shoulder pain","score":0.5709999799728394},{"id":"https://openalex.org/keywords/patient-reported-pain","display_name":"patient-reported pain","score":0.656000018119812},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.5839999914169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256353497505188},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6927427053451538},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6646550893783569},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6196054816246033},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6143955588340759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951346158981323},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5722870230674744},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5619915127754211},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4763886332511902},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4575272500514984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4505760967731476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45013558864593506},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4221181869506836},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4158731698989868},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14555683732032776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09640195965766907},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2017.8296449","doi":"https://doi.org/10.1109/icip.2017.8296449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296449","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1702.06925","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1702.06925","pdf_url":"https://arxiv.org/pdf/1702.06925","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1702.06925","doi":"https://doi.org/10.48550/arxiv.1702.06925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1702.06925","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.13140/rg.2.2.20841.49765","doi":"https://doi.org/10.13140/rg.2.2.20841.49765","is_oa":false,"landing_page_url":"https://doi.org/10.13140/rg.2.2.20841.49765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1702.06925","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1702.06925","pdf_url":"https://arxiv.org/pdf/1702.06925","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4043000042438507}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963236152.pdf","grobid_xml":"https://content.openalex.org/works/W2963236152.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W132448360","https://openalex.org/W1509966554","https://openalex.org/W1536680647","https://openalex.org/W1590099432","https://openalex.org/W1984354005","https://openalex.org/W2066658540","https://openalex.org/W2095705004","https://openalex.org/W2101545465","https://openalex.org/W2134860945","https://openalex.org/W2162825184","https://openalex.org/W2197748410","https://openalex.org/W2341528187","https://openalex.org/W2436394355","https://openalex.org/W2469434562","https://openalex.org/W2520774990","https://openalex.org/W2963112684","https://openalex.org/W2963630024","https://openalex.org/W6631782140"],"related_works":["https://openalex.org/W4301398766","https://openalex.org/W4303183309","https://openalex.org/W2891557213","https://openalex.org/W2901942822","https://openalex.org/W2562386149","https://openalex.org/W7147718148","https://openalex.org/W3014634952","https://openalex.org/W4321020629","https://openalex.org/W2899048870","https://openalex.org/W3005844399"],"abstract_inverted_index":{"Limited":[0],"labeled":[1],"data":[2,72,97],"are":[3],"available":[4],"for":[5,21,98],"the":[6,15,79,87,110,117,123,135],"research":[7],"of":[8,32,96,138],"estimating":[9],"facial":[10],"expression":[11,74,80,112],"intensities.":[12,35,141],"For":[13],"instance,":[14],"ability":[16],"to":[17,108,133],"train":[18],"deep":[19,104],"networks":[20],"automated":[22],"pain":[23,34,111,140],"assessment":[24],"is":[25,106,130],"limited":[26],"by":[27],"small":[28],"datasets":[29],"with":[30,73],"labels":[31],"patient-reported":[33],"Fortunately,":[36],"fine-tuning":[37],"from":[38,86],"a":[39,56,60,66,93],"data-extensive":[40],"pre-trained":[41],"domain,":[42],"such":[43],"as":[44],"face":[45,62,99],"verification,":[46],"can":[47,84],"alleviate":[48],"this":[49,52,77],"problem.":[50],"In":[51,76],"paper,":[53],"we":[54],"propose":[55],"network":[57,64],"that":[58],"fine-tunes":[59],"state-of-the-art":[61,124],"verification":[63],"using":[65],"regularized":[67,103],"regression":[68,82],"loss":[69],"and":[70,114],"additional":[71],"labels.":[75],"way,":[78],"intensity":[81,113],"task":[83],"benefit":[85],"rich":[88],"feature":[89],"representations":[90],"trained":[91],"on":[92,116],"huge":[94],"amount":[95],"verification.":[100],"The":[101],"proposed":[102,132],"regressor":[105],"applied":[107],"estimate":[109],"verified":[115],"widely-used":[118],"UNBC-McMaster":[119],"Shoulder-Pain":[120],"dataset,":[121],"achieving":[122],"performance.":[125],"A":[126],"weighted":[127],"evaluation":[128],"metric":[129],"also":[131],"address":[134],"imbalance":[136],"issue":[137],"different":[139]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2019-07-30T00:00:00"}
