{"id":"https://openalex.org/W7165759994","doi":"https://doi.org/10.48550/arxiv.2606.24539","title":"PointVG-R: Internalizing Geometric Reasoning in MLLMs for Precise Pointing Localization via Visual Chain of Thought","display_name":"PointVG-R: Internalizing Geometric Reasoning in MLLMs for Precise Pointing Localization via Visual Chain of Thought","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165759994","doi":"https://doi.org/10.48550/arxiv.2606.24539"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24539","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24539","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.2606.24539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139263938","display_name":"Ling Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139239644","display_name":"Bowen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130926697","display_name":"Zinuo Zhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhan, Zinuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130913095","display_name":"Jianhui Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Jianhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139234885","display_name":"Ziyu Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Ziyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091095337","display_name":"Bingcai Wei","orcid":"https://orcid.org/0000-0003-4152-4559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Bingcai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130989873","display_name":"Kenglun Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Kenglun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139299324","display_name":"Zhidong Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Zhidong","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":0.9079999923706055,"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":0.9079999923706055,"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.008899999782443047,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.008799999952316284,"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/visual-reasoning","display_name":"Visual reasoning","score":0.625},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49630001187324524},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4722999930381775},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4555000066757202},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4431999921798706},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.40860000252723694},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4074999988079071},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.4047999978065491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098000049591064},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245999932289124},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4555000066757202},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.40860000252723694},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35100001096725464},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C2780103172","wikidata":"https://www.wikidata.org/wiki/Q1309721","display_name":"Visual Objects","level":3,"score":0.32839998602867126},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2777371692","wikidata":"https://www.wikidata.org/wiki/Q2178611","display_name":"Spatial cognition","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24539","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24539","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.2606.24539","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24539","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pointing-based":[0],"visual":[1,17,131],"grounding":[2],"requires":[3],"models":[4,64],"to":[5,58,90,139,177],"precisely":[6],"locate":[7],"target":[8],"objects":[9],"by":[10,70,193],"deciphering":[11],"complex":[12],"spatial":[13,48,68],"relationships":[14],"between":[15],"the":[16,37,42,60,88,95,115,141,151,179,191,203],"scene":[18],"and":[19,32,46,102,147],"pointing":[20,123],"gestures.":[21,124],"Traditional":[22],"methods":[23],"typically":[24],"encode":[25],"input":[26],"images":[27,93],"into":[28],"static":[29],"feature":[30],"representations":[31],"perform":[33],"reasoning":[34,83,111,137],"primarily":[35],"within":[36],"linguistic":[38],"domain,":[39],"often":[40],"overlooking":[41],"rich":[43],"perceptual":[44],"cues":[45],"explicit":[47],"geometry":[49],"inherent":[50],"in":[51,65,196],"images.":[52],"In":[53],"this":[54],"study,":[55],"we":[56,106,126,160],"aim":[57],"mitigate":[59],"cognitive":[61,117],"vulnerability":[62],"of":[63,98,154,205],"interpreting":[66,122],"gestural":[67],"relations":[69],"proposing":[71],"PointVG-R,":[72],"a":[73,108,129],"reasoning-guided":[74],"Multi-modal":[75],"Large":[76],"Language":[77],"Model":[78],"(MLLM).":[79],"PointVG-R":[80,186],"introduces":[81],"geometric-aware":[82],"for":[84],"pointing-based":[85],"grounding,":[86],"enabling":[87],"model":[89,142],"think":[91],"with":[92],"through":[94],"strategic":[96],"integration":[97],"Reinforcement":[99],"Learning":[100],"(RL)":[101],"cold-start":[103],"data.":[104],"Specifically,":[105],"design":[107],"novel":[109],"geometric":[110],"pipeline":[112],"that":[113,185],"simulates":[114],"iterative":[116],"process":[118],"humans":[119],"employ":[120],"when":[121],"Furthermore,":[125],"construct":[127],"EgoPoint-CoT,":[128],"high-quality":[130],"Chain-of-Thought":[132],"(CoT)":[133],"dataset":[134],"featuring":[135],"detailed":[136],"trajectories":[138],"guide":[140],"via":[143],"Supervised":[144],"Fine-Tuning":[145],"(SFT)":[146],"RL.":[148],"To":[149],"address":[150],"varying":[152],"quality":[153],"learning":[155,180],"signals":[156,176],"encountered":[157],"during":[158],"training,":[159],"further":[161,201],"propose":[162],"an":[163],"Adaptive":[164],"Importance":[165],"Weighting":[166],"strategy":[167],"based":[168],"on":[169],"Group":[170],"Variance,":[171],"which":[172],"dynamically":[173],"adjusts":[174],"reward":[175],"optimize":[178],"process.":[181],"Experimental":[182],"results":[183],"demonstrate":[184],"achieves":[187],"SOTA":[188],"performance,":[189],"outperforming":[190],"baseline":[192],"$\\textbf{15.86}$":[194],"points":[195],"mIoU.":[197],"Extensive":[198],"ablation":[199],"studies":[200],"validate":[202],"efficacy":[204],"our":[206],"proposed":[207],"modules.":[208],"Code:":[209],"https://github.com/lingli1724/PointVG-R.":[210]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}