{"id":"https://openalex.org/W7154205588","doi":"https://doi.org/10.48550/arxiv.2604.10397","title":"Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation","display_name":"Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7154205588","doi":"https://doi.org/10.48550/arxiv.2604.10397"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10397","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10397","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"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":"https://doi.org/10.48550/arxiv.2604.10397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133564481","display_name":"Yuanhao Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Luo, Yuanhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133611371","display_name":"Di Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Di","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133593270","display_name":"Kunyu Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Kunyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133589683","display_name":"Ruiping Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ruiping","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133588534","display_name":"Junwei Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Junwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133617601","display_name":"Yufan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yufan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133580103","display_name":"Jiale Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Jiale","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133562534","display_name":"Rainer Stiefelhage","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stiefelhage, Rainer","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5133564481"],"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":0.4634999930858612,"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":0.4634999930858612,"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":0.3571999967098236,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.042500000447034836,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.8547999858856201},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6933000087738037},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5480999946594238},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5454000234603882},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5389000177383423},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5228999853134155},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48510000109672546}],"concepts":[{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.8547999858856201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736299991607666},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6933000087738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5879999995231628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525000095367432},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5389000177383423},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.45159998536109924},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4065999984741211},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.38769999146461487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3366999924182892},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10397","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10397","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10397","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10397","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"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":{"Video-based":[0],"human-object":[1,30],"interaction":[2],"(HOI)":[3],"understanding":[4],"requires":[5],"both":[6,117],"detecting":[7],"ongoing":[8],"interactions":[9,104],"and":[10,37,77,85,98,119,150],"anticipating":[11],"their":[12],"future":[13,51,55,99,103],"evolution.":[14],"However,":[15],"existing":[16],"methods":[17],"usually":[18],"treat":[19],"anticipation":[20,61,100,131],"as":[21,105,140],"a":[22,70,87,141],"downstream":[23],"forecasting":[24],"task":[25],"built":[26],"on":[27,144],"externally":[28],"constructed":[29],"pairs,":[31],"limiting":[32],"joint":[33],"reasoning":[34],"between":[35],"detection":[36,118,139],"prediction.":[38],"In":[39],"addition,":[40],"sparse":[41],"keyframe":[42],"annotations":[43],"in":[44,116],"current":[45,109],"benchmarks":[46],"can":[47],"temporally":[48,71],"misalign":[49],"nominal":[50],"labels":[52],"from":[53,75,108],"actual":[54],"dynamics,":[56],"reducing":[57],"the":[58],"reliability":[59],"of":[60],"evaluation.":[62],"To":[63],"address":[64],"these":[65],"issues,":[66],"we":[67],"introduce":[68],"DETAnt-HOI,":[69],"corrected":[72],"benchmark":[73],"derived":[74],"VidHOI":[76],"Action":[78],"Genome":[79],"for":[80],"more":[81],"faithful":[82],"multi-horizon":[83],"evaluation,":[84],"HOI-DA,":[86],"pair-centric":[88],"framework":[89],"that":[90,130],"jointly":[91,137],"performs":[92],"subject-object":[93],"localization,":[94],"present":[95],"HOI":[96],"detection,":[97],"by":[101],"modeling":[102],"residual":[106],"transitions":[107],"pair":[110],"states.":[111],"Experiments":[112],"show":[113],"consistent":[114],"improvements":[115],"anticipation,":[120],"with":[121,138],"larger":[122],"gains":[123],"at":[124],"longer":[125],"horizons.":[126],"Our":[127],"results":[128],"highlight":[129],"is":[132],"most":[133],"effective":[134],"when":[135],"learned":[136],"structural":[142],"constraint":[143],"pair-level":[145],"video":[146],"representation":[147],"learning.":[148],"Benchmark":[149],"code":[151],"will":[152],"be":[153],"publicly":[154],"available.":[155]},"counts_by_year":[],"updated_date":"2026-04-15T06:04:33.058270","created_date":"2026-04-15T00:00:00"}