{"id":"https://openalex.org/W7161559015","doi":"https://doi.org/10.48550/arxiv.2605.15519","title":"DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments","display_name":"DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161559015","doi":"https://doi.org/10.48550/arxiv.2605.15519"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15519","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":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.2605.15519","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136430832","display_name":"Anindya Sarkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarkar, Anindya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089378935","display_name":"Srikumar Sastry","orcid":"https://orcid.org/0000-0002-4646-9416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sastry, Srikumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003478927","display_name":"Aleksis Pirinen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pirinen, Aleksis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124715000","display_name":"Nathan Jacobs","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jacobs, Nathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136385436","display_name":"Yevgeniy Vorobeychik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vorobeychik, Yevgeniy","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/T12288","display_name":"Optimization and Search Problems","score":0.1696999967098236,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.1696999967098236,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.1395999938249588,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.12680000066757202,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/geospatial-analysis","display_name":"Geospatial analysis","score":0.6531000137329102},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.6049000024795532},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5313000082969666},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4713999927043915},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4699999988079071},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.40950000286102295},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.35010001063346863},{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.3310999870300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193999886512756},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6531000137329102},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.6049000024795532},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5313000082969666},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46720001101493835},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3361999988555908},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.31060001254081726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C171089853","wikidata":"https://www.wikidata.org/wiki/Q7094123","display_name":"Online search","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15519","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15519","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.5781315565109253,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Visual":[0],"active":[1,133],"search":[2,60,98,134,169],"(VAS)":[3],"has":[4],"been":[5],"introduced":[6],"as":[7,73],"a":[8,74,110,141,157],"modeling":[9],"framework":[10],"that":[11,57,113,174],"leverages":[12,140],"visual":[13,132],"cues":[14],"to":[15,70,89,97,120,144,163],"direct":[16],"aerial":[17],"(e.g.,":[18],"UAV-based)":[19],"exploration":[20],"and":[21,44,79,83,166],"pinpoint":[22],"areas":[23],"of":[24,32,48,77,131],"interest":[25],"within":[26],"extensive":[27],"geospatial":[28,148],"regions.":[29],"Potential":[30],"applications":[31],"VAS":[33,54],"include":[34],"detecting":[35],"hotspots":[36],"for":[37,99,115],"rare":[38],"wildlife":[39],"poaching,":[40],"aiding":[41],"search-and-rescue":[42],"missions,":[43],"uncovering":[45],"illegal":[46],"trafficking":[47],"weapons,":[49],"among":[50],"other":[51],"uses.":[52],"Previous":[53],"approaches":[55],"assume":[56],"the":[58,129,146],"entire":[59,147],"space":[61],"is":[62,66],"known":[63],"upfront,":[64],"which":[65,93,127,155],"often":[67],"unrealistic":[68],"due":[69],"constraints":[71],"such":[72],"restricted":[75],"field":[76],"view":[78],"high":[80],"acquisition":[81],"costs,":[82],"they":[84],"typically":[85],"learn":[86],"policies":[87,135],"tailored":[88],"specific":[90],"target":[91,101],"objects,":[92],"limits":[94],"their":[95],"ability":[96],"multiple":[100],"categories":[102],"simultaneously.":[103],"In":[104],"this":[105],"work,":[106],"we":[107],"propose":[108],"DiffVAS,":[109],"target-conditioned":[111,158],"policy":[112],"searches":[114],"diverse":[116,179],"objects":[117,180],"simultaneously":[118],"according":[119],"task":[121],"requirements":[122],"in":[123,136,177,181],"partially":[124,182],"observable":[125,183],"environments,":[126,184],"advances":[128],"deployment":[130],"real-world":[137],"applications.":[138],"DiffVAS":[139,175],"diffusion":[142],"model":[143],"reconstruct":[145],"area":[149],"from":[150],"sequentially":[151],"observed":[152],"partial":[153],"glimpses,":[154],"enables":[156],"reinforcement":[159],"learning-based":[160],"planning":[161],"module":[162],"effectively":[164],"reason":[165],"guide":[167],"subsequent":[168],"steps.":[170],"Extensive":[171],"experiments":[172],"demonstrate":[173],"excels":[176],"searching":[178],"significantly":[185],"surpassing":[186],"state-of-the-art":[187],"methods":[188],"on":[189],"several":[190],"datasets.":[191]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-19T00:00:00"}