{"id":"https://openalex.org/W7163912617","doi":"https://doi.org/10.48550/arxiv.2606.07433","title":"Watch, Remember, Reason: Human-View Video Understanding with MLLMs","display_name":"Watch, Remember, Reason: Human-View Video Understanding with MLLMs","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7163912617","doi":"https://doi.org/10.48550/arxiv.2606.07433"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.07433","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07433","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.2606.07433","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138160830","display_name":"Jiahao Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Jiahao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138134808","display_name":"Yue Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138196993","display_name":"Qi Xu","orcid":"https://orcid.org/0009-0003-9963-3034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138133969","display_name":"Kuan Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Kuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138181442","display_name":"Weisong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Weisong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138168709","display_name":"Yanwei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yanwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138188556","display_name":"Jason Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jason","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138105488","display_name":"Lingdong Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Lingdong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138157438","display_name":"Haochen Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haochen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138161441","display_name":"Qianyu Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Qianyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138173397","display_name":"Jiangning Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiangning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138195493","display_name":"Guangliang Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Guangliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024097240","display_name":"Yunhai Tong","orcid":"https://orcid.org/0000-0001-8735-2516"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Yunhai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138111963","display_name":"Lu Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138132775","display_name":"Minghsuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Minghsuan","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":0.8614000082015991,"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":0.8614000082015991,"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/T10028","display_name":"Topic Modeling","score":0.012400000356137753,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.012299999594688416,"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/perspective","display_name":"Perspective (graphical)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5447999835014343},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5351999998092651},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4390999972820282},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.3894999921321869},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.37279999256134033},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3578999936580658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7901999950408936},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5447999835014343},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5351999998092651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44609999656677246},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4390999972820282},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.39489999413490295},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39070001244544983},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.07433","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07433","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.2606.07433","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07433","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":[{"display_name":"Quality Education","score":0.5720543265342712,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"understanding":[1,97],"is":[2],"being":[3],"rapidly":[4],"transformed":[5],"by":[6,99,134],"multimodal":[7,35],"large":[8],"language":[9],"models":[10,28],"(MLLMs),":[11],"as":[12,68,170],"research":[13],"moves":[14],"from":[15],"short":[16],"clips":[17],"to":[18,29],"long,":[19],"multimodal,":[20],"and":[21,37,61,86,107,127,146,152,160,175,178,182,191,199,205],"knowledge-intensive":[22],"video":[23,52,66,80,96,138,207],"scenarios.":[24],"These":[25],"scenarios":[26],"require":[27],"handle":[30],"sparse":[31],"evidence,":[32,83],"long-range":[33],"dependencies,":[34],"alignment,":[36],"reliable":[38],"inference":[39],"under":[40],"limited":[41],"computational":[42],"budgets.":[43],"This":[44],"work":[45],"presents":[46],"a":[47,74,92],"human-view":[48],"perspective":[49],"on":[50,111],"LLM-based":[51],"understanding,":[53,126],"organized":[54,133],"around":[55],"three":[56],"functional":[57],"abilities:":[58],"watching,":[59],"remembering,":[60],"reasoning.":[62,129],"Rather":[63],"than":[64],"treating":[65],"tasks":[67],"isolated":[69],"benchmarks,":[70],"this":[71,112],"view":[72],"provides":[73],"unified":[75],"structure":[76],"for":[77,202],"analyzing":[78],"how":[79],"MLLMs":[81],"acquire":[82],"preserve":[84],"context,":[85],"produce":[87],"grounded":[88],"outputs.":[89],"We":[90,164],"introduce":[91],"formulation":[93],"that":[94],"characterizes":[95],"systems":[98],"their":[100,135],"perceptual":[101],"representations,":[102],"memory":[103,123],"states,":[104],"reasoning":[105,156,159],"traces,":[106],"final":[108],"predictions.":[109],"Based":[110],"formulation,":[113],"we":[114,195],"identify":[115],"challenges":[116],"in":[117,137],"spatio-temporal":[118],"perception,":[119],"efficient":[120,147],"long-video":[121],"processing,":[122],"modeling,":[124],"streaming":[125,153],"faithful":[128],"Representative":[130],"methods":[131],"are":[132],"roles":[136],"MLLM":[139],"systems.":[140],"Watching":[141],"covers":[142,157],"fine-grained,":[143],"comprehensive,":[144],"audio-visual,":[145],"perception.":[148],"Remembering":[149],"includes":[150],"offline":[151],"memory,":[154],"while":[155],"text-only":[158],"thinking":[161],"with":[162],"videos.":[163],"further":[165],"examine":[166],"application":[167],"domains":[168],"such":[169],"egocentric,":[171],"sports,":[172],"instructional,":[173],"medical,":[174],"narrative":[176],"videos,":[177],"cover":[179],"training":[180],"datasets":[181],"evaluation":[183],"benchmarks":[184],"across":[185],"task":[186],"types,":[187],"supervision":[188],"formats,":[189],"modalities,":[190],"capability":[192],"dimensions.":[193],"Finally,":[194],"outline":[196],"open":[197],"problems":[198],"future":[200],"directions":[201],"scalable,":[203],"memory-aware,":[204],"evidence-grounded":[206],"intelligence.":[208],"Related":[209],"works":[210],"will":[211],"be":[212],"continuously":[213],"traced":[214],"at":[215],"https://github.com/marinero4972/Awesome-HumanView-VideoUnderstanding.":[216]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-09T00:00:00"}