{"id":"https://openalex.org/W7131404909","doi":"https://doi.org/10.48550/arxiv.2602.20608","title":"VAGNet: Grounding 3D Affordance from Human-Object Interactions in Videos","display_name":"VAGNet: Grounding 3D Affordance from Human-Object Interactions in Videos","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131404909","doi":"https://doi.org/10.48550/arxiv.2602.20608"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.20608","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014555076","display_name":"Aihua Mao","orcid":"https://orcid.org/0000-0001-6861-9414"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mao, Aihua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126851087","display_name":"Kaihang Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Kaihang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126782068","display_name":"Yong-Jin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yong-Jin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chan, Chee Seng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan, Chee Seng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126789801","display_name":"Ying He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Ying","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014555076"],"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5354999899864197,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5354999899864197,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.164900004863739,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.14900000393390656,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.972599983215332},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.7628999948501587},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6334999799728394},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.427700012922287},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.34549999237060547},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.3246000111103058},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.32010000944137573}],"concepts":[{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.972599983215332},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.7628999948501587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455000281333923},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6523000001907349},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6334999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43709999322891235},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.427700012922287},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.20608","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.20608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20608","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.20608","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"3D":[0,9,87,113],"object":[1],"affordance":[2,88,136],"grounding":[3],"aims":[4],"to":[5,19,49,67,95,115],"identify":[6],"regions":[7,54],"on":[8,28,147],"objects":[10,69],"that":[11,35,107,118,150],"support":[12,124],"human-object":[13],"interaction":[14,93,110],"(HOI),":[15],"a":[16,44,61,105],"capability":[17],"essential":[18],"embodied":[20],"visual":[21,30],"reasoning.":[22],"However,":[23],"most":[24],"existing":[25],"approaches":[26],"rely":[27],"static":[29,119],"or":[31],"textual":[32],"cues,":[33],"neglecting":[34],"affordances":[36],"are":[37],"inherently":[38],"defined":[39],"by":[40,70,77,81],"dynamic":[41,92],"actions.":[42],"As":[43],"result,":[45],"they":[46],"often":[47],"struggle":[48],"localize":[50],"the":[51,131],"true":[52],"contact":[53],"involved":[55],"in":[56,142],"real":[57],"interactions.":[58],"We":[59],"take":[60],"different":[62],"perspective.":[63],"Humans":[64],"learn":[65],"how":[66],"use":[68],"observing":[71],"and":[72,161],"imitating":[73],"actions,":[74],"not":[75],"just":[76],"examining":[78],"shapes.":[79],"Motivated":[80],"this":[82,125],"intuition,":[83],"we":[84,102,128],"introduce":[85,129],"video-guided":[86],"grounding,":[89],"which":[90],"leverages":[91],"sequences":[94],"provide":[96],"functional":[97,139],"supervision.":[98],"To":[99,123],"achieve":[100],"this,":[101],"propose":[103],"VAGNet,":[104],"framework":[106],"aligns":[108],"video-derived":[109],"cues":[111,120],"with":[112],"structure":[114],"resolve":[116],"ambiguities":[117],"cannot":[121],"address.":[122],"new":[126],"setting,":[127],"PVAD,":[130],"first":[132],"HOI":[133],"video-3D":[134],"pairing":[135],"dataset,":[137],"providing":[138],"supervision":[140],"unavailable":[141],"prior":[143],"works.":[144],"Extensive":[145],"experiments":[146],"PVAD":[148],"show":[149],"VAGNet":[151],"achieves":[152],"state-of-the-art":[153],"performance,":[154],"significantly":[155],"outperforming":[156],"static-based":[157],"baselines.":[158],"The":[159],"code":[160],"dataset":[162],"will":[163],"be":[164],"open":[165],"publicly.":[166]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-26T00:00:00"}
