{"id":"https://openalex.org/W2897761616","doi":"https://doi.org/10.1109/ijcnn.2018.8489484","title":"Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation","display_name":"Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897761616","doi":"https://doi.org/10.1109/ijcnn.2018.8489484","mag":"2897761616"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5034711227","display_name":"Bi Wu","orcid":"https://orcid.org/0000-0002-0676-8227"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bi Wu","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038861185","display_name":"Zhihua Cai","orcid":"https://orcid.org/0000-0003-0020-6503"},"institutions":[{"id":"https://openalex.org/I4210105374","display_name":"Beibu Gulf University","ror":"https://ror.org/01dq3qq95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105374"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cai","raw_affiliation_strings":["Qinzhou University, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Qinzhou University, Guangxi, China","institution_ids":["https://openalex.org/I4210105374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100664480","display_name":"Xiaobo Liu","orcid":"https://orcid.org/0000-0001-8470-8388"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Liu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034711227"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11840015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9932000041007996,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6597391963005066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588776111602783},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6488888263702393},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6213109493255615},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.6173580884933472},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6031709909439087},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5851282477378845},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5684115886688232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.524468183517456},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5133587718009949},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5129387378692627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4766966998577118},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.4745805263519287},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.358007550239563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2888299524784088},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.1806890070438385}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597391963005066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588776111602783},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6488888263702393},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6213109493255615},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.6173580884933472},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6031709909439087},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5851282477378845},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5684115886688232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.524468183517456},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5133587718009949},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5129387378692627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4766966998577118},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.4745805263519287},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.358007550239563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2888299524784088},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.1806890070438385},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1561920876","https://openalex.org/W1607376735","https://openalex.org/W1970269368","https://openalex.org/W1972002222","https://openalex.org/W1999457380","https://openalex.org/W2003749430","https://openalex.org/W2016440973","https://openalex.org/W2027325144","https://openalex.org/W2027922120","https://openalex.org/W2053186076","https://openalex.org/W2053478195","https://openalex.org/W2069165391","https://openalex.org/W2077194953","https://openalex.org/W2090518410","https://openalex.org/W2107793528","https://openalex.org/W2112794790","https://openalex.org/W2118963448","https://openalex.org/W2134563198","https://openalex.org/W2141631520","https://openalex.org/W2151103935","https://openalex.org/W2160021903","https://openalex.org/W2509348655","https://openalex.org/W2509704168","https://openalex.org/W2551429935","https://openalex.org/W2569520361","https://openalex.org/W2758068744","https://openalex.org/W3043538212","https://openalex.org/W6636084225","https://openalex.org/W6679809621","https://openalex.org/W6725275723","https://openalex.org/W6744723629","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W2793467789","https://openalex.org/W3005579881","https://openalex.org/W2517350662","https://openalex.org/W2050874697","https://openalex.org/W50733827"],"abstract_inverted_index":{"Face":[0],"hallucination":[1,90],"can":[2],"improve":[3],"the":[4,14,26,51,63,77,122,131],"resolution":[5],"of":[6,33,68],"observed":[7],"low-resolution":[8],"(LR)":[9],"face":[10,17,34,89,114],"image":[11,35,115],"to":[12,21,49,62,117,139],"predict":[13],"high-resolution":[15],"(HR)":[16],"image.":[18],"In":[19],"order":[20],"achieve":[22,118],"good":[23],"result":[24],"performance,":[25],"training":[27,70,113],"samples":[28,71],"and":[29,46,72,103,142],"local":[30],"structure":[31],"prior":[32],"are":[36,82],"utilized":[37],"by":[38],"some":[39],"approaches":[40,153],"including":[41],"Least":[42],"Square":[43],"Representation":[44,105],"(LSR)":[45],"convex":[47],"optimization":[48],"obtain":[50],"better":[52,119],"representation":[53,137],"coefficients.":[54],"However,":[55],"they":[56,80],"do":[57],"not":[58,83],"pay":[59],"more":[60],"attention":[61],"relationship":[64],"between":[65],"local-pixel":[66],"structures":[67],"HR":[69,112],"input":[73,123],"LR":[74,124],"face.":[75,125],"Thus,":[76],"reconstruction":[78],"coefficients":[79],"get":[81],"optimal.":[84],"Therefore,":[85],"Optical":[86],"Flow":[87],"based":[88],"via":[91],"weightedly-constrained":[92],"representation(OFWCR)":[93],"has":[94],"been":[95],"developed":[96],"in":[97,134,154],"this":[98],"paper.":[99],"Compared":[100],"with":[101],"LSR":[102],"Sparse":[104],"(SR),":[106],"our":[107,135,148],"method":[108],"uses":[109],"a":[110],"warping":[111],"strategy":[116],"details":[120],"from":[121],"We":[126],"also":[127],"take":[128],"into":[129],"account":[130],"locality":[132,141],"constraint":[133],"effective":[136],"scheme":[138,150],"reach":[140],"sparsity":[143],"synchronously.":[144],"Experiments":[145],"show":[146],"that":[147],"proposed":[149],"outperforms":[151],"state-of-the-art":[152],"common":[155],"database.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
