{"id":"https://openalex.org/W2942809297","doi":"https://doi.org/10.1109/iccv.2019.00946","title":"Few-Shot Adaptive Gaze Estimation","display_name":"Few-Shot Adaptive Gaze Estimation","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2942809297","doi":"https://doi.org/10.1109/iccv.2019.00946","mag":"2942809297"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2019.00946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.01941","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061874926","display_name":"Seonwook Park","orcid":"https://orcid.org/0000-0001-7992-3876"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Seonwook Park","raw_affiliation_strings":["ETH Z\u00fcrich","NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021623206","display_name":"Shalini De Mello","orcid":"https://orcid.org/0009-0009-0213-2860"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Shalini De Mello","raw_affiliation_strings":["NVIDIA","ETH Z\u00fcrich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066945976","display_name":"Pavlo Molchanov","orcid":null},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pavlo Molchanov","raw_affiliation_strings":["NVIDIA","nVidia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"nVidia","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862728","display_name":"Umar Iqbal","orcid":"https://orcid.org/0000-0001-6074-1693"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Umar Iqbal","raw_affiliation_strings":["NVIDIA","nVidia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"nVidia","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025000908","display_name":"Otmar Hilliges","orcid":"https://orcid.org/0000-0002-5068-3474"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH","GB"],"is_corresponding":false,"raw_author_name":"Otmar Hilliges","raw_affiliation_strings":["ETH Z\u00fcrich","nVidia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"nVidia","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056503617","display_name":"Jan Kautz","orcid":"https://orcid.org/0000-0002-8830-429X"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jan Kautz","raw_affiliation_strings":["NVIDIA","nVidia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"nVidia","institution_ids":["https://openalex.org/I1304085615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0386,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86334363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9367","last_page":"9376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12484","display_name":"Retinopathy of Prematurity Studies","score":0.9828000068664551,"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/computer-science","display_name":"Computer science","score":0.8156321048736572},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8026434779167175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6830105781555176},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5500825047492981},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5149555802345276},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5055763721466064},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47897911071777344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4647250771522522},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42379963397979736},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4187834858894348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3975066542625427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12697288393974304},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0848475992679596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8156321048736572},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8026434779167175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6830105781555176},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5500825047492981},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5149555802345276},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5055763721466064},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47897911071777344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4647250771522522},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42379963397979736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4187834858894348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3975066542625427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12697288393974304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0848475992679596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccv.2019.00946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.01941","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.01941","pdf_url":"https://arxiv.org/pdf/1905.01941","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1905.01941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.01941","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2942809297","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.01941","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.01941","pdf_url":"https://arxiv.org/pdf/1905.01941","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942809297.pdf","grobid_xml":"https://content.openalex.org/works/W2942809297.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1677182931","https://openalex.org/W1946259682","https://openalex.org/W1991544872","https://openalex.org/W1995694455","https://openalex.org/W2012895915","https://openalex.org/W2027879843","https://openalex.org/W2038358290","https://openalex.org/W2088696604","https://openalex.org/W2096733369","https://openalex.org/W2130325996","https://openalex.org/W2139196511","https://openalex.org/W2150856527","https://openalex.org/W2158363907","https://openalex.org/W2160495187","https://openalex.org/W2167020116","https://openalex.org/W2194321275","https://openalex.org/W2277958045","https://openalex.org/W2468114283","https://openalex.org/W2472819217","https://openalex.org/W2479344183","https://openalex.org/W2502312327","https://openalex.org/W2523950919","https://openalex.org/W2557669140","https://openalex.org/W2579152745","https://openalex.org/W2593093587","https://openalex.org/W2601450892","https://openalex.org/W2622263826","https://openalex.org/W2753160622","https://openalex.org/W2765629358","https://openalex.org/W2778268008","https://openalex.org/W2785967764","https://openalex.org/W2794363191","https://openalex.org/W2795960359","https://openalex.org/W2796850409","https://openalex.org/W2798977862","https://openalex.org/W2799164693","https://openalex.org/W2805941539","https://openalex.org/W2808912095","https://openalex.org/W2884915206","https://openalex.org/W2887595520","https://openalex.org/W2894846593","https://openalex.org/W2895535699","https://openalex.org/W2897890508","https://openalex.org/W2902615807","https://openalex.org/W2949247522","https://openalex.org/W2952055246","https://openalex.org/W2962887041","https://openalex.org/W2963341924","https://openalex.org/W2963446712","https://openalex.org/W2963454111","https://openalex.org/W2963475767","https://openalex.org/W2963499285","https://openalex.org/W2963604457","https://openalex.org/W2963709863","https://openalex.org/W2963775850","https://openalex.org/W2965297430","https://openalex.org/W3098161516","https://openalex.org/W3099206234","https://openalex.org/W3106262690","https://openalex.org/W6600115225","https://openalex.org/W6640564649","https://openalex.org/W6697459119","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6724804524","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6739622702","https://openalex.org/W6739879593","https://openalex.org/W6743661861","https://openalex.org/W6747941109","https://openalex.org/W6748383617","https://openalex.org/W6750081751","https://openalex.org/W6750254146","https://openalex.org/W6750621423","https://openalex.org/W6752846148","https://openalex.org/W6753668856","https://openalex.org/W6753820623","https://openalex.org/W6755536180","https://openalex.org/W6756905131","https://openalex.org/W6762222478"],"related_works":["https://openalex.org/W2952055246","https://openalex.org/W2940957859","https://openalex.org/W2802892379","https://openalex.org/W748200003","https://openalex.org/W2557669140","https://openalex.org/W2963304222","https://openalex.org/W3006377250","https://openalex.org/W2757071000","https://openalex.org/W2276966516","https://openalex.org/W2794257028","https://openalex.org/W2295235733","https://openalex.org/W2807065402","https://openalex.org/W3082630340","https://openalex.org/W2902753365","https://openalex.org/W2945651751","https://openalex.org/W2799981814","https://openalex.org/W3101438200","https://openalex.org/W2795718602","https://openalex.org/W3097407879","https://openalex.org/W43343621"],"abstract_inverted_index":{"Inter-personal":[0],"anatomical":[1],"differences":[2],"limit":[3],"the":[4],"accuracy":[5],"of":[6,91,111,131],"person-independent":[7],"gaze":[8,18,34,76,92,103],"estimation":[9],"networks.":[10],"Yet":[11],"there":[12],"is":[13,109],"a":[14,64,87,94,100,135],"need":[15],"to":[16,21,48,113,117],"lower":[17],"errors":[19],"further":[20],"enable":[22],"applications":[23],"requiring":[24],"higher":[25],"quality.":[26],"Further":[27],"gains":[28,121],"can":[29,55],"be":[30],"achieved":[31],"by":[32],"personalizing":[33],"networks,":[35],"ideally":[36],"with":[37,78,99,122],"few":[38,51,80,124],"calibration":[39,83],"samples.":[40,84],"However,":[41],"over-parameterized":[42],"neural":[43],"networks":[44,77],"are":[45],"not":[46],"amenable":[47],"learning":[49,74],"from":[50],"examples":[52],"as":[53,123,125],"they":[54],"quickly":[56],"over-fit.":[57],"We":[58,141],"embrace":[59],"these":[60],"challenges":[61],"and":[62],"propose":[63],"novel":[65],"framework":[66],"for":[67,73],"Few-shot":[68],"Adaptive":[69],"GaZE":[70],"Estimation":[71],"(Faze)":[72],"person-specific":[75],"very":[79],"(\u2264":[81],"9)":[82],"Faze":[85],"learns":[86],"rotation-aware":[88],"latent":[89],"representation":[90],"via":[93],"disentangling":[95],"encoder-decoder":[96],"architecture":[97],"along":[98],"highly":[101],"adaptable":[102],"estimator":[104],"trained":[105],"using":[106],"meta-learning.":[107],"It":[108],"capable":[110],"adapting":[112],"any":[114],"new":[115],"person":[116],"yield":[118],"significant":[119],"performance":[120,130],"3":[126],"samples,":[127],"yielding":[128],"state-of-the-art":[129],"3.18-deg":[132],"on":[133],"GazeCapture,":[134],"19%":[136],"improvement":[137],"over":[138],"prior":[139],"art.":[140],"open-source":[142],"our":[143],"code":[144],"at":[145],"https://github.com/NVlabs/few_shot_gaze.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
