{"id":"https://openalex.org/W4408352724","doi":"https://doi.org/10.1109/icassp49660.2025.10889996","title":"Distilling Knowledge from Large Video Models for Driver Visual Attention Prediction","display_name":"Distilling Knowledge from Large Video Models for Driver Visual Attention Prediction","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352724","doi":"https://doi.org/10.1109/icassp49660.2025.10889996"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5026527409","display_name":"Morteza Moradi","orcid":"https://orcid.org/0000-0001-6825-5171"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Morteza Moradi","raw_affiliation_strings":["University of Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783128","display_name":"Mohammad Moradi","orcid":"https://orcid.org/0000-0003-0006-1009"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mohammad Moradi","raw_affiliation_strings":["University of Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075815307","display_name":"Concetto Spampinato","orcid":"https://orcid.org/0000-0001-6653-2577"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Concetto Spampinato","raw_affiliation_strings":["University of Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068743986","display_name":"Ali Borji","orcid":"https://orcid.org/0000-0001-8198-0335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Borji","raw_affiliation_strings":["Quintic AI,San Francisco,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quintic AI,San Francisco,CA,USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031450889","display_name":"Simone Palazzo","orcid":"https://orcid.org/0000-0002-2441-0982"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Palazzo","raw_affiliation_strings":["University of Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9936000108718872,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9936000108718872,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9771000146865845,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7959414124488831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40815258026123047},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.38520142436027527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959414124488831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40815258026123047},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38520142436027527}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2559767995","https://openalex.org/W2887806157","https://openalex.org/W2939308562","https://openalex.org/W2955060956","https://openalex.org/W2963503775","https://openalex.org/W2963513865","https://openalex.org/W2986131415","https://openalex.org/W3127334354","https://openalex.org/W4206711354","https://openalex.org/W4224981407","https://openalex.org/W4225467065","https://openalex.org/W4226373160","https://openalex.org/W4285182874","https://openalex.org/W4286285578","https://openalex.org/W4311165408","https://openalex.org/W4312560592","https://openalex.org/W4319299738","https://openalex.org/W4319663591","https://openalex.org/W4377235208","https://openalex.org/W4390872366","https://openalex.org/W4392402379","https://openalex.org/W4397040147","https://openalex.org/W4400647614","https://openalex.org/W4404965874","https://openalex.org/W6631190155","https://openalex.org/W6791353385","https://openalex.org/W6866263257","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Driver":[0],"attention":[1,6,95,125],"prediction":[2,42,96,126],"has":[3,29],"gained":[4],"significant":[5],"recently":[7],"due":[8,57,111],"to":[9,58,72,112],"its":[10],"role":[11],"in":[12],"developing":[13],"advanced":[14],"driver":[15,78,94,124],"assistance":[16],"systems":[17],"(ADAS)":[18],"and":[19,54,61],"intelligent":[20,55],"vehicles.":[21],"The":[22],"emergence":[23],"of":[24],"video":[25,36,40],"foundation":[26],"models":[27,47,108],"(VFMs)":[28],"opened":[30],"up":[31],"new":[32],"possibilities":[33],"for":[34,52,76,103],"improving":[35],"understanding":[37],"tasks":[38],"like":[39],"saliency":[41],"(VSP).":[43],"However,":[44],"these":[45],"large":[46,104],"are":[48,98],"often":[49],"not":[50],"cost-effective":[51],"ADAS":[53],"vehicles":[56],"their":[59,113],"size":[60],"resource":[62],"demands.":[63],"To":[64,117],"address":[65],"this,":[66,119],"we":[67,120],"present":[68],"an":[69],"early":[70],"effort":[71],"use":[73],"knowledge":[74],"distillation":[75],"predicting":[77],"visual":[79],"attention,":[80],"employing":[81],"the":[82,89,132],"first":[83],"VFM-based":[84,123],"VSP":[85],"model,":[86],"SalFoM,":[87],"as":[88],"teacher":[90,133],"network.":[91,134],"Given":[92],"that":[93],"datasets":[97],"smaller":[99],"than":[100,131],"those":[101],"used":[102],"models,":[105],"fine-tuning":[106],"such":[107],"is":[109],"challenging":[110],"high":[114],"parameter":[115],"count.":[116],"overcome":[118],"designed":[121],"a":[122],"network":[127],"with":[128],"fewer":[129],"parameters":[130],"Experimental":[135],"results":[136],"show":[137],"our":[138],"model\u2019s":[139],"effectiveness":[140],"on":[141],"benchmark":[142],"datasets.":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
