{"id":"https://openalex.org/W4413144446","doi":"https://doi.org/10.1109/cvpr52734.2025.01194","title":"HUNet: Homotopy Unfolding Network for Image Compressive Sensing","display_name":"HUNet: Homotopy Unfolding Network for Image Compressive Sensing","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413144446","doi":"https://doi.org/10.1109/cvpr52734.2025.01194"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.01194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5059592447","display_name":"Feiyang Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feiyang Shen","raw_affiliation_strings":["Northwestern Polytechnical University,School of Software,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Software,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071986802","display_name":"Hongping Gan","orcid":"https://orcid.org/0000-0002-4853-5077"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongping Gan","raw_affiliation_strings":["Northwestern Polytechnical University,School of Software,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Software,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059592447"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.2677,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88265588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"12799","last_page":"12808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9797000288963318,"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/homotopy","display_name":"Homotopy","score":0.6738660335540771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5553382039070129},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47594356536865234},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4740084111690521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40267422795295715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3629947900772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3161979019641876},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.13150057196617126}],"concepts":[{"id":"https://openalex.org/C5961521","wikidata":"https://www.wikidata.org/wiki/Q746083","display_name":"Homotopy","level":2,"score":0.6738660335540771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5553382039070129},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47594356536865234},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4740084111690521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40267422795295715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3629947900772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3161979019641876},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.13150057196617126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.01194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Deep":[0],"Unfolding":[1,63],"Networks":[2],"(DUNs)":[3],"have":[4],"risen":[5],"to":[6,9,89,118,138,173],"prominence":[7],"due":[8],"their":[10],"interpretability":[11,121],"and":[12,42,126],"superior":[13,168],"performance":[14],"for":[15,66],"image":[16,35,54,67,169],"Compressive":[17],"Sensing":[18],"(CS).":[19],"However,":[20],"existing":[21,174],"DUNs":[22],"still":[23],"face":[24],"significant":[25],"issues,":[26],"such":[27],"as":[28],"the":[29,38,50,83,109,113,120,123,140,147,154,159],"insufficient":[30],"representation":[31],"capability":[32],"of":[33,44,53,73,82,104,122,142,156],"single-scale":[34],"information":[36,145],"during":[37,146],"iterative":[39,150],"reconstruction":[40,72,170],"phase":[41],"loss":[43,141],"feature":[45,106,128,135,144],"information,":[46],"which":[47,69,96],"fundamentally":[48],"limit":[49],"further":[51],"enhancement":[52],"CS":[55],"performance.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,111,131],"propose":[61],"Homotopy":[62,92],"Network":[64],"(HUNet)":[65],"CS,":[68],"enables":[70],"phase-by-phase":[71],"images":[74],"along":[75],"homotopy":[76,85,115,124],"path.":[77],"Specifically,":[78],"each":[79],"iteration":[80],"step":[81],"traditional":[84],"algorithm":[86,125],"is":[87,180],"mapped":[88],"a":[90,133],"Multi-scale":[91],"Iterative":[93],"Module":[94],"(MHIM),":[95],"includes":[97],"U-shaped":[98],"stacked":[99],"window-based":[100],"Transformer":[101],"blocks":[102],"capable":[103],"efficient":[105],"extraction.":[107],"Within":[108],"MHIM,":[110],"design":[112],"deep":[114],"continuation":[116],"strategy":[117],"ensure":[119],"facilitate":[127],"learning.":[129],"Additionally,":[130],"introduce":[132],"dual-path":[134],"fusion":[136],"module":[137],"mitigate":[139],"high-dimensional":[143],"transmission":[148],"between":[149],"phases,":[151],"thereby":[152],"maximizing":[153],"preservation":[155],"details":[157],"in":[158],"reconstructed":[160],"image.":[161],"Extensive":[162],"experiments":[163],"indicate":[164],"that":[165],"HUNet":[166],"achieves":[167],"results":[171],"compared":[172],"state-of-the-art":[175],"methods.":[176],"The":[177],"source":[178],"code":[179],"available":[181],"at":[182],"https://github.com/ICSResearch/HUNet.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
