{"id":"https://openalex.org/W4387815065","doi":"https://doi.org/10.1145/3606042.3616449","title":"CMFS-Net: Common Mode Features Suppression Network for Gaze Estimation","display_name":"CMFS-Net: Common Mode Features Suppression Network for Gaze Estimation","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4387815065","doi":"https://doi.org/10.1145/3606042.3616449"},"language":"en","primary_location":{"id":"doi:10.1145/3606042.3616449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606042.3616449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering","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/A5100416688","display_name":"Xu Xu","orcid":"https://orcid.org/0000-0002-3934-9096"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Xu","raw_affiliation_strings":["China Academy of Information and Communications Technology, Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3934-9096","affiliations":[{"raw_affiliation_string":"China Academy of Information and Communications Technology, Haidian, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102729849","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-1844-3809"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["China Academy of Information and Communications Technology, Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1844-3809","affiliations":[{"raw_affiliation_string":"China Academy of Information and Communications Technology, Haidian, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395042","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-0187-7010"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["China University of Mining and Technology (Beijing), Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0187-7010","affiliations":[{"raw_affiliation_string":"China University of Mining and Technology (Beijing), Haidian, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065797055","display_name":"Congsheng Li","orcid":"https://orcid.org/0000-0002-7658-1943"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congsheng Li","raw_affiliation_strings":["China Academy of Information and Communications Technology, Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7658-1943","affiliations":[{"raw_affiliation_string":"China Academy of Information and Communications Technology, Haidian, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100416688"],"corresponding_institution_ids":["https://openalex.org/I4210130112"],"apc_list":null,"apc_paid":null,"fwci":0.328,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60012485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"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":0.9998999834060669,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/gaze","display_name":"Gaze","score":0.873847246170044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744189500808716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7567845582962036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5851421356201172},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.553374707698822},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.45266541838645935},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.440518856048584},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4370110332965851},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43014034628868103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4245203137397766},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4152088761329651},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4145278036594391},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19719281792640686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18209418654441833},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.07583954930305481}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.873847246170044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744189500808716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7567845582962036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5851421356201172},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.553374707698822},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.45266541838645935},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.440518856048584},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4370110332965851},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43014034628868103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4245203137397766},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4152088761329651},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4145278036594391},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19719281792640686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18209418654441833},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.07583954930305481},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606042.3616449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606042.3616449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering","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":10,"referenced_works":["https://openalex.org/W2083117615","https://openalex.org/W2468114283","https://openalex.org/W2884915206","https://openalex.org/W3016191499","https://openalex.org/W3185469516","https://openalex.org/W4312290632","https://openalex.org/W4312303088","https://openalex.org/W4321484266","https://openalex.org/W4378193947","https://openalex.org/W4386076325"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W2562758970","https://openalex.org/W1986970529","https://openalex.org/W2161294397","https://openalex.org/W2012644758"],"abstract_inverted_index":{"Gaze":[0],"estimation":[1,39,86,195],"typically":[2,161],"involves":[3],"determining":[4],"the":[5,17,26,88,105,114,120,136,150,183],"direction":[6,138],"or":[7,19],"point":[8],"of":[9,16,31,52,126,199],"gaze":[10,38,71,85,108,137,194],"based":[11],"on":[12],"a":[13,49,124,130,140,176],"single":[14],"image":[15,89],"eye":[18,142,152],"face.":[20],"However,":[21],"due":[22],"to":[23,65,73,98],"variations":[24],"in":[25,54,107],"internal":[27],"structure":[28],"and":[29,48,123,181],"morphology":[30],"eyes":[32],"among":[33],"individuals,":[34],"existing":[35],"models":[36],"for":[37,84,129,139,179],"have":[40],"limited":[41],"accuracy.":[42],"They":[43],"often":[44],"exhibit":[45],"subject-dependent":[46],"bias":[47],"high":[50],"degree":[51],"variance":[53],"their":[55],"output.":[56],"To":[57,170],"address":[58],"these":[59],"limitations,":[60],"calibration":[61,127],"is":[62,146],"commonly":[63],"used":[64],"improve":[66],"accuracy":[67],"by":[68,118,148],"mapping":[69],"individuals'":[70],"predictions":[72],"real":[74],"gaze.":[75],"In":[76],"this":[77,96],"study,":[78],"we":[79,102,133,154,174],"propose":[80],"an":[81,197],"innovative":[82],"approach":[83],"called":[87],"common-mode":[90,100],"feature":[91],"suppression":[92],"network.":[93,184],"By":[94],"training":[95,180],"network":[97],"suppress":[99],"features,":[101],"can":[103,134,155],"forecast":[104,135],"difference":[106],"between":[109],"two":[110,151],"input":[111],"images":[112,128],"from":[113],"same":[115],"subject.":[116],"Furthermore,":[117],"leveraging":[119],"inferred":[121],"differences":[122],"set":[125],"specific":[131],"object,":[132],"new":[141],"sample.":[143],"Our":[144],"hypothesis":[145],"that":[147,160,189],"contrasting":[149],"images,":[153],"significantly":[156],"reduce":[157],"confounding":[158],"factors":[159],"affect":[162],"single-image":[163],"forecasting":[164],"methods,":[165],"thereby":[166],"producing":[167],"superior":[168],"predictions.":[169],"evaluate":[171],"our":[172,190],"approach,":[173],"curated":[175],"dataset":[177],"specifically":[178],"testing":[182],"The":[185],"experimental":[186],"results":[187],"demonstrate":[188],"proposed":[191],"model":[192],"achieves":[193],"with":[196],"error":[198],"less":[200],"than":[201],"5.3":[202],"mm.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}