{"id":"https://openalex.org/W7165800587","doi":"https://doi.org/10.48550/arxiv.2606.24649","title":"Agentic Collaborative Cognition for Zero-Shot 3D Understanding","display_name":"Agentic Collaborative Cognition for Zero-Shot 3D Understanding","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165800587","doi":"https://doi.org/10.48550/arxiv.2606.24649"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24649","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24649","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.24649","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139257851","display_name":"Wenxin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139230164","display_name":"Bo Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071942112","display_name":"F Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139231267","display_name":"Zixuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139294619","display_name":"Wen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139223472","display_name":"Changsheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Changsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102831936","display_name":"Yinjie Lei","orcid":"https://orcid.org/0000-0001-6856-3342"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Yinjie","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9768000245094299,"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":0.9768000245094299,"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":0.0044999998062849045,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6779999732971191},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6507999897003174},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6236000061035156},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5372999906539917},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.42419999837875366},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3995000123977661},{"id":"https://openalex.org/keywords/cognitive-reframing","display_name":"Cognitive reframing","score":0.3691999912261963},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.36880001425743103}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6779999732971191},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6507999897003174},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6236000061035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029999852180481},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5372999906539917},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4147000014781952},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3978999853134155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38199999928474426},{"id":"https://openalex.org/C187029079","wikidata":"https://www.wikidata.org/wiki/Q958679","display_name":"Cognitive reframing","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.3653999865055084},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.3474000096321106},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C86658582","wikidata":"https://www.wikidata.org/wiki/Q1432778","display_name":"Social cognition","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.2660999894142151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24649","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24649","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.24649","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24649","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":"Preprint"},"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":{"Recent":[0],"advancements":[1],"have":[2],"explored":[3],"agentic":[4],"zero-shot":[5],"3D":[6,42,75],"understanding":[7,14],"by":[8,113],"reformulating":[9],"it":[10,131],"as":[11],"video":[12],"keyframe":[13],"with":[15,182],"Multimodal":[16],"Large":[17],"Language":[18],"Models":[19],"(MLLMs).":[20],"However,":[21],"existing":[22],"methods":[23],"face":[24],"an":[25],"intrinsic":[26],"bottleneck":[27],"due":[28],"to":[29,58,71,91,100,134,166],"the":[30,38,74,125,168],"finite":[31],"observation":[32],"perspectives":[33,99],"inherent":[34],"in":[35],"videos":[36],"and":[37,63,67,95,140,194],"implicit":[39],"perception":[40],"of":[41,184],"scenes.":[43],"In":[44,129],"this":[45,88,146],"paper,":[46],"we":[47],"propose":[48],"a":[49,55,68,78],"collaborative":[50],"multi-agent":[51],"framework":[52],"that":[53,160,173],"assigns":[54],"Planning":[56,84],"Agent":[57,70,85,106,158],"handle":[59],"high-level":[60],"viewpoint":[61,143],"planning":[62],"supplement":[64],"novel":[65],"perspectives,":[66],"Perception":[69,105,157],"explicitly":[72],"summarize":[73],"scene":[76],"into":[77,124],"structured":[79],"holistic":[80,126],"cognitive":[81,89,127],"map.":[82,128],"Specifically,":[83],"first":[86],"analyzes":[87],"map":[90],"determine":[92],"query-relevant":[93],"viewpoints":[94],"supplements":[96],"missing":[97],"critical":[98],"ensure":[101],"comprehensive":[102],"observation.":[103],"Subsequently,":[104],"documents":[107],"object-level":[108],"attributes":[109],"from":[110],"these":[111],"views":[112],"assigning":[114],"consistent":[115],"instance":[116],"identifiers":[117],"across":[118],"viewpoints,":[119],"thereby":[120],"integrating":[121],"fragmented":[122],"observations":[123],"parallel,":[130],"provides":[132],"feedback":[133],"filter":[135],"out":[136,154],"mismatched":[137],"candidate":[138],"objects":[139],"guide":[141],"subsequent":[142],"planning.":[144],"Through":[145],"closed-loop":[147],"iterative":[148],"process,":[149],"two":[150],"agents":[151],"collaboratively":[152],"figure":[153],"candidates":[155],"until":[156],"determines":[159],"sufficient":[161],"information":[162],"has":[163],"been":[164],"captured":[165],"complete":[167],"task.":[169],"Extensive":[170],"experiments":[171],"demonstrate":[172],"our":[174],"method":[175],"achieves":[176],"state-of-the-art":[177],"performance":[178],"on":[179,187,191,197],"6":[180],"benchmarks,":[181],"improvements":[183],"11.1\\%":[185],"Acc@0.5":[186],"ScanRefer,":[188],"14.6":[189],"BLEU-1":[190],"3D-assisted":[192],"dialog,":[193],"2.1":[195],"EM":[196],"SQA3D.":[198]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}