{"id":"https://openalex.org/W7154464037","doi":"https://doi.org/10.48550/arxiv.2604.11913","title":"V-Nutri: Dish-Level Nutrition Estimation from Egocentric Cooking Videos","display_name":"V-Nutri: Dish-Level Nutrition Estimation from Egocentric Cooking Videos","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154464037","doi":"https://doi.org/10.48550/arxiv.2604.11913"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.11913","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11913","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,"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.11913","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133637174","display_name":"Chengkun Yue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue, Chengkun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133641298","display_name":"Chuanzhi Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chuanzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063620170","display_name":"Jiangpeng He","orcid":"https://orcid.org/0000-0002-8552-9880"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Jiangpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9386000037193298,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10866","display_name":"Nutritional Studies and Diet","score":0.9386000037193298,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational 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/T11925","display_name":"Culinary Culture and Tourism","score":0.004900000058114529,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12745","display_name":"Dietary Effects on Health","score":0.004100000020116568,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/process","display_name":"Process (computing)","score":0.6317999958992004},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5871000289916992},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.586899995803833},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5328999757766724},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4814999997615814},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42649999260902405},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4007999897003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696999907493591},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6317999958992004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6273000240325928},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5871000289916992},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.586899995803833},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5328999757766724},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4814999997615814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43860000371932983},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4007999897003174},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C3017654825","wikidata":"https://www.wikidata.org/wiki/Q1531970","display_name":"Nutrition information","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.263700008392334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.11913","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11913","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,"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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.11913","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11913","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,"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":"Preprint"},"sustainable_development_goals":[{"score":0.690753698348999,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Nutrition":[0],"estimation":[1,59,165],"of":[2,25,176],"meals":[3],"from":[4,71,119,129],"visual":[5,109],"data":[6],"is":[7,32,194],"an":[8],"important":[9],"problem":[10],"for":[11,94],"dietary":[12],"monitoring":[13],"and":[14,40,46,57,89,124,185,191],"computational":[15],"health,":[16],"but":[17],"existing":[18],"approaches":[19],"largely":[20],"rely":[21],"on":[22,150,181],"single":[23],"images":[24],"the":[26,67,86,91,120,130,151,174],"finally":[27],"completed":[28],"dish.":[29],"This":[30],"setting":[31],"fundamentally":[33],"limited":[34],"because":[35],"many":[36],"nutritionally":[37],"relevant":[38],"ingredients":[39],"transformations,":[41],"such":[42],"as":[43],"oils,":[44],"sauces,":[45],"mixed":[47],"components,":[48],"become":[49],"visually":[50],"ambiguous":[51],"after":[52],"cooking,":[53],"making":[54],"accurate":[55],"calorie":[56],"macronutrient":[58],"difficult.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,82,100],"investigate":[65],"whether":[66],"cooking":[68,73,125,137],"process":[69,126,156,177],"information":[70],"egocentric":[72,131],"videos":[74],"can":[75,158],"contribute":[76],"to":[77],"dish-level":[78],"nutrition":[79,96,164],"estimation.":[80,97],"First,":[81],"further":[83,171],"manually":[84],"annotated":[85,192],"HD-EPIC":[87,152],"dataset":[88,153,193],"established":[90],"first":[92],"benchmark":[93],"video-based":[95],"Most":[98],"importantly,":[99],"propose":[101],"V-Nutri,":[102],"a":[103,112,136,141],"staged":[104],"framework":[105],"that":[106,116,145,155,173],"combines":[107],"Nutrition5K-pretrained":[108],"backbones":[110],"with":[111],"lightweight":[113],"fusion":[114],"module":[115],"aggregates":[117],"features":[118],"final":[121],"dish":[122],"frame":[123],"keyframes":[127,138,178],"extracted":[128],"videos.":[132],"V-Nutri":[133],"also":[134],"includes":[135],"selection":[139],"module,":[140],"VideoMamba-based":[142],"event-detection":[143],"model":[144],"targets":[146],"ingredient-addition":[147],"moments.":[148],"Experiments":[149],"show":[154],"cues":[157],"provide":[159],"complementary":[160],"nutritional":[161],"evidence,":[162],"improving":[163],"under":[166],"controlled":[167],"conditions.":[168],"Our":[169,189],"results":[170],"indicate":[172],"benefit":[175],"depends":[179],"strongly":[180],"backbone":[182],"representation":[183],"capacity":[184],"event":[186],"detection":[187],"quality.":[188],"code":[190],"available":[195],"at":[196],"https://github.com/K624-YCK/V-Nutri.":[197]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-16T00:00:00"}