{"id":"https://openalex.org/W4416749746","doi":"https://doi.org/10.1109/iros60139.2025.11246531","title":"UAV Video Deblurring via Motion-Aware Diffusion: A Path to Robust Target Detection","display_name":"UAV Video Deblurring via Motion-Aware Diffusion: A Path to Robust Target Detection","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416749746","doi":"https://doi.org/10.1109/iros60139.2025.11246531"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101417955","display_name":"Zhiqiang Hu","orcid":"https://orcid.org/0000-0003-0830-815X"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhiqiang Hu","raw_affiliation_strings":["Tokyo University of Science,Research Institute for Science &#x0026; Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Research Institute for Science &#x0026; Technology","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060068072","display_name":"Shouren Huang","orcid":"https://orcid.org/0000-0003-4605-3135"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shouren Huang","raw_affiliation_strings":["Tokyo University of Science,Research Institute for Science &#x0026; Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Research Institute for Science &#x0026; Technology","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010897098","display_name":"Masatoshi Ishikawa","orcid":"https://orcid.org/0000-0002-6096-830X"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Ishikawa","raw_affiliation_strings":["Tokyo University of Science,Research Institute for Science &#x0026; Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Research Institute for Science &#x0026; Technology","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101417955"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40199762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3511","last_page":"3518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.8659999966621399,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.8659999966621399,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.023399999365210533,"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/T13579","display_name":"Image and Video Stabilization","score":0.014600000344216824,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.878600001335144},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4465000033378601},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4296000003814697},{"id":"https://openalex.org/keywords/missile","display_name":"Missile","score":0.3711000084877014},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3544999957084656},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.34540000557899475},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.32580000162124634},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.31290000677108765}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.878600001335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745000123977661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7422000169754028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6969000101089478},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C2778857364","wikidata":"https://www.wikidata.org/wiki/Q974850","display_name":"Missile","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3544999957084656},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.32580000162124634},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2964000105857849},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1598281290","https://openalex.org/W2560533888","https://openalex.org/W2738579427","https://openalex.org/W2950533208","https://openalex.org/W2965669158","https://openalex.org/W2987477823","https://openalex.org/W3109908659","https://openalex.org/W3157386596","https://openalex.org/W3174279090","https://openalex.org/W3205100603","https://openalex.org/W3211328899","https://openalex.org/W4226014430","https://openalex.org/W4312305207","https://openalex.org/W4312497550","https://openalex.org/W4312756164","https://openalex.org/W4312933868","https://openalex.org/W4312938066","https://openalex.org/W4322742218","https://openalex.org/W4372279253","https://openalex.org/W4385760871","https://openalex.org/W4386071577","https://openalex.org/W4392543517","https://openalex.org/W4402754006","https://openalex.org/W4405779030"],"related_works":[],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicles":[2],"(UAVs)":[3],"play":[4],"a":[5,52,104],"crucial":[6],"role":[7],"in":[8],"various":[9],"scenarios":[10],"ranging":[11],"from":[12,24,140],"disaster":[13],"response":[14],"to":[15,29,50,59,85,111,121,172],"traffic":[16],"surveillance.":[17],"However,":[18],"aerial":[19,174],"video":[20,56,143],"footage":[21],"often":[22],"suffers":[23],"severe":[25],"motion":[26],"blur":[27],"due":[28],"rapid":[30],"flight":[31],"maneuvers,":[32],"vibrations,":[33],"and":[34,54,107,113,127],"camera":[35],"panning,":[36],"which":[37],"can":[38,135],"significantly":[39,163],"degrade":[40],"downstream":[41],"tasks":[42],"such":[43],"as":[44],"target":[45,62,165],"detection.":[46],"Our":[47,133],"goal":[48],"is":[49],"explore":[51],"computationally-efficient":[53],"effective":[55],"deblurring":[57,159],"approach":[58],"enhance":[60],"UAV":[61,89,142,149],"detection":[63,166],"performance.":[64],"To":[65,98],"reduce":[66],"computational":[67],"cost,":[68],"we":[69,102],"first":[70],"propose":[71],"an":[72],"Adaptive":[73],"Latent":[74],"Scale":[75],"Selector":[76],"that":[77,152],"dynamically":[78],"adjusts":[79],"the":[80,86,115,119,141],"latent":[81],"space":[82],"resolution":[83],"according":[84],"intensity":[87],"of":[88],"motion,":[90],"thus":[91],"balancing":[92],"detail":[93],"preservation":[94],"with":[95],"inference":[96],"efficiency.":[97],"ensure":[99],"temporal":[100,125],"consistency,":[101],"introduce":[103],"Multi-Frame":[105],"Alignment":[106],"Learnable":[108],"Gating":[109],"module":[110],"warp":[112],"gate":[114],"preceding":[116],"frames,":[117],"allowing":[118],"model":[120],"fuse":[122],"only":[123,156],"relevant":[124],"information":[126],"suppress":[128],"misaligned":[129],"or":[130],"uninformative":[131],"features.":[132],"method":[134,154],"effectively":[136],"recover":[137],"sharp":[138],"details":[139],"stream.":[144],"Extensive":[145],"experiments":[146],"on":[147],"real":[148],"benchmarks":[150],"demonstrate":[151],"our":[153],"not":[155],"yields":[157],"superior":[158],"performance":[160],"but":[161],"also":[162],"boosts":[164],"accuracy,":[167],"making":[168],"it":[169],"highly":[170],"applicable":[171],"robust":[173],"vision":[175],"tasks.":[176],"Code":[177],"will":[178],"be":[179],"publicly":[180],"available":[181],"here.":[182]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}
