{"id":"https://openalex.org/W4409261740","doi":"https://doi.org/10.1109/wacv61041.2025.00243","title":"High-Pass Kernel Prediction for Efficient Video Deblurring","display_name":"High-Pass Kernel Prediction for Efficient Video Deblurring","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4409261740","doi":"https://doi.org/10.1109/wacv61041.2025.00243"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61041.2025.00243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040279482","display_name":"Bo Ji","orcid":"https://orcid.org/0000-0003-0149-7509"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bo Ji","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":null,"display_name":"Angela Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Angela Yao","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"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":"2442","last_page":"2452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.995199978351593,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9807999730110168,"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":0.916877031326294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007018327713013},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6500870585441589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5237177014350891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4430111050605774},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22969970107078552},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.22426924109458923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15452483296394348},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1338881552219391}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.916877031326294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007018327713013},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6500870585441589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5237177014350891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4430111050605774},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22969970107078552},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.22426924109458923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15452483296394348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1338881552219391},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61041.2025.00243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W158587707","https://openalex.org/W1598281290","https://openalex.org/W1987075379","https://openalex.org/W2032506791","https://openalex.org/W2059859530","https://openalex.org/W2113350594","https://openalex.org/W2125188192","https://openalex.org/W2126926806","https://openalex.org/W2133665775","https://openalex.org/W2141115311","https://openalex.org/W2142263374","https://openalex.org/W2166538457","https://openalex.org/W2171500271","https://openalex.org/W2474628748","https://openalex.org/W2476548250","https://openalex.org/W2548527721","https://openalex.org/W2560533888","https://openalex.org/W2738579427","https://openalex.org/W2803525890","https://openalex.org/W2963372104","https://openalex.org/W2964030969","https://openalex.org/W2965669158","https://openalex.org/W2967273822","https://openalex.org/W2987477823","https://openalex.org/W3034421924","https://openalex.org/W3035086889","https://openalex.org/W3035331337","https://openalex.org/W3095435396","https://openalex.org/W3109269658","https://openalex.org/W3174279090","https://openalex.org/W3176148916","https://openalex.org/W4236387761","https://openalex.org/W4285220742","https://openalex.org/W4312236735","https://openalex.org/W4312271024","https://openalex.org/W4312280925","https://openalex.org/W4312305207","https://openalex.org/W4312620360","https://openalex.org/W4312739433","https://openalex.org/W4386071577","https://openalex.org/W4386076219","https://openalex.org/W6631190155","https://openalex.org/W6716109767","https://openalex.org/W6726497184","https://openalex.org/W6755308174","https://openalex.org/W6763456679","https://openalex.org/W6809698605","https://openalex.org/W6810174114","https://openalex.org/W6810653034","https://openalex.org/W6839136058","https://openalex.org/W6845922732","https://openalex.org/W6846043359","https://openalex.org/W6851672917"],"related_works":["https://openalex.org/W3034770329","https://openalex.org/W4220831754","https://openalex.org/W2089488370","https://openalex.org/W2963383578","https://openalex.org/W4287817146","https://openalex.org/W3015323103","https://openalex.org/W2004616103","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2965566740"],"abstract_inverted_index":{"State-of-the-art":[0],"video":[1,11],"deblurring":[2],"methods":[3],"use":[4],"deep":[5],"network":[6,63],"architectures":[7],"to":[8,43,65,86,113],"recover":[9],"sharpened":[10],"frames.":[12],"Blurring":[13],"especially":[14],"degrades":[15],"high-frequency":[16,88],"(HF)":[17],"information,":[18],"yet":[19],"this":[20],"aspect":[21],"is":[22,39,92,118],"often":[23],"overlooked":[24],"by":[25],"recent":[26],"models":[27],"that":[28],"focus":[29],"more":[30],"on":[31],"enhancing":[32],"architectural":[33],"design.":[34],"Recovering":[35],"these":[36],"fine":[37,68],"details":[38,69],"challenging,":[40],"partly":[41],"due":[42],"the":[44,67],"spectral":[45],"bias":[46],"of":[47,82],"neural":[48],"networks,":[49],"which":[50],"are":[51],"inclined":[52],"towards":[53],"learning":[54],"low-frequency":[55],"functions.":[56],"To":[57],"address":[58],"this,":[59],"we":[60],"enforce":[61],"explicit":[62],"structures":[64],"capture":[66],"and":[70,101],"edges.":[71],"We":[72],"dynamically":[73],"predict":[74],"adaptive":[75],"high-pass":[76,83],"kernels":[77,85],"from":[78],"a":[79],"linear":[80],"combination":[81],"basis":[84],"extract":[87],"features.":[89],"This":[90],"strategy":[91],"highly":[93],"efficient,":[94],"resulting":[95],"in":[96],"low-memory":[97],"footprints":[98],"for":[99,105],"training":[100],"fast":[102],"run":[103],"times":[104],"inference,":[106],"all":[107],"while":[108],"achieving":[109],"state-of-the-art":[110],"when":[111],"compared":[112],"low-budget":[114],"models.":[115],"The":[116],"code":[117],"available":[119],"at":[120],"https://github.com/jibo27/AHFNet.":[121]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}