{"id":"https://openalex.org/W4387967877","doi":"https://doi.org/10.1145/3581783.3612534","title":"OraclePoints: A Hybrid Neural Representation for Oracle Character","display_name":"OraclePoints: A Hybrid Neural Representation for Oracle Character","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967877","doi":"https://doi.org/10.1145/3581783.3612534"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612534","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612534","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612534","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040090294","display_name":"Runhua Jiang","orcid":"https://orcid.org/0000-0003-2402-8684"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhua Jiang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2402-8684","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101438926","display_name":"Yongge Liu","orcid":"https://orcid.org/0009-0008-9806-4032"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongge Liu","raw_affiliation_strings":["Anyang Normal University & Key Laboratory of Oracle Bone Inscriptions Information Processing, Ministry of Education, Anyang, China"],"raw_orcid":"https://orcid.org/0009-0008-9806-4032","affiliations":[{"raw_affiliation_string":"Anyang Normal University & Key Laboratory of Oracle Bone Inscriptions Information Processing, Ministry of Education, Anyang, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Boyuan Zhang","orcid":"https://orcid.org/0000-0001-7286-931X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyuan Zhang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7286-931X","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385702","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-1805-5435"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1805-5435","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014297564","display_name":"Deng Li","orcid":"https://orcid.org/0000-0001-5150-6536"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Li","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5150-6536","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031819155","display_name":"Yahong Han","orcid":"https://orcid.org/0000-0003-2768-1398"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2768-1398","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8478,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82123244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7901","last_page":"7911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9975000023841858,"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/character","display_name":"Character (mathematics)","score":0.7483941316604614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728480339050293},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.723943829536438},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.6459864377975464},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6352911591529846},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.5027079582214355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4984622001647949},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3539392054080963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3496773838996887},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.340136855840683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07044738531112671},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06170669198036194}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7483941316604614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728480339050293},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.723943829536438},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.6459864377975464},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6352911591529846},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.5027079582214355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4984622001647949},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3539392054080963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3496773838996887},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.340136855840683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07044738531112671},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06170669198036194},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612534","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612534","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612534","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612534","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1829462488","display_name":"\u8de8\u5a92\u4f53\u667a\u80fd\u95ee\u7b54\u548c\u63a8\u7406\u5173\u952e\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61932009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2681694562","display_name":null,"funder_award_id":"20 &amp","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G65195399","display_name":null,"funder_award_id":"20 &amp","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6764034340","display_name":null,"funder_award_id":"G1807","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387967877.pdf","grobid_xml":"https://content.openalex.org/works/W4387967877.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1521556565","https://openalex.org/W2044810215","https://openalex.org/W2118246710","https://openalex.org/W2185824196","https://openalex.org/W2189825535","https://openalex.org/W2194775991","https://openalex.org/W2325428365","https://openalex.org/W2508457857","https://openalex.org/W2752782242","https://openalex.org/W2885563408","https://openalex.org/W2894923739","https://openalex.org/W2962990451","https://openalex.org/W2963725279","https://openalex.org/W2964288524","https://openalex.org/W2967568155","https://openalex.org/W3003466563","https://openalex.org/W3034591020","https://openalex.org/W3034676907","https://openalex.org/W3136420864","https://openalex.org/W3171125843","https://openalex.org/W3173217100","https://openalex.org/W4223975244","https://openalex.org/W4226060031","https://openalex.org/W4254373586","https://openalex.org/W4285132062","https://openalex.org/W4286238648","https://openalex.org/W4286238659","https://openalex.org/W4304014146","https://openalex.org/W4312624488","https://openalex.org/W4312812783","https://openalex.org/W4312980231","https://openalex.org/W4321770427"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2357953719","https://openalex.org/W2385192443","https://openalex.org/W2383960131","https://openalex.org/W2380164763","https://openalex.org/W2381493610","https://openalex.org/W2391760175","https://openalex.org/W2356947934","https://openalex.org/W2390320612"],"abstract_inverted_index":{"Oracle":[0],"Bone":[1],"Inscriptions":[2],"(OBI)":[3],"are":[4,11,178],"ancient":[5,170],"hieroglyphs":[6],"originated":[7],"in":[8,20,130],"China":[9],"and":[10,47,91,100,110,115,155],"considered":[12],"one":[13,60],"of":[14,27,61,68,89,147],"the":[15,21,76,104,138],"most":[16],"famous":[17],"writing":[18],"systems":[19],"world.":[22],"Up":[23],"to":[24,37,44,112,172],"now,":[25],"thousands":[26],"OBIs":[28,167],"have":[29],"been":[30],"discovered,":[31],"which":[32,79],"require":[33],"deciphering":[34,166],"by":[35,168],"experts":[36],"understand":[38],"their":[39,64],"contents.":[40],"Experts":[41],"typically":[42],"need":[43],"restore,":[45],"classify,":[46],"compare":[48],"each":[49],"character":[50,101,151],"with":[51,59,127],"previous":[52],"inscriptions.":[53],"Although":[54],"existing":[55,128],"research":[56],"can":[57,123],"assist":[58],"these":[62],"operations,":[63],"performance":[65],"falls":[66],"short":[67],"practical":[69],"requirements.":[70],"In":[71,117],"this":[72],"work,":[73],"we":[74,119],"propose":[75],"OraclePoints":[77,122,162],"framework,":[78],"represents":[80],"OBI":[81,148],"images":[82,90],"as":[83],"hybrid":[84,140],"neural":[85,141],"representations":[86],"comprising":[87],"features":[88],"point":[92,105],"sets.":[93],"The":[94],"image":[95,152],"representation":[96,106,142],"provides":[97],"inscription":[98],"appearance":[99],"structure,":[102],"while":[103],"makes":[107],"it":[108],"easy":[109],"effective":[111],"distinguish":[113],"characters":[114,171],"noises.":[116],"addition,":[118],"demonstrate":[120,136],"that":[121,137,161],"be":[124],"easily":[125],"integrated":[126],"models":[129],"a":[131,145],"plug-and-play":[132],"manner.":[133],"Comprehensive":[134],"experiments":[135],"proposed":[139],"framework":[143],"supports":[144],"range":[146],"tasks,":[149],"including":[150],"retrieval,":[153],"recognition,":[154],"denoising.":[156],"It":[157],"is":[158,163],"also":[159],"demonstrated":[160],"helpful":[164],"for":[165],"linking":[169],"modern":[173],"Chinese":[174],"characters.":[175],"Our":[176],"codes":[177],"available":[179],"at":[180],"https://ddghjikle.github.io/.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}