{"id":"https://openalex.org/W3209361581","doi":"https://doi.org/10.1007/s41095-021-0223-y","title":"Learning conditional photometric stereo with high-resolution features","display_name":"Learning conditional photometric stereo with high-resolution features","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3209361581","doi":"https://doi.org/10.1007/s41095-021-0223-y","mag":"3209361581"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-021-0223-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0223-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0223-y.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0223-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086183661","display_name":"Yakun Ju","orcid":"https://orcid.org/0000-0003-4065-4108"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yakun Ju","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China","Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047811387","display_name":"Yuxin Peng","orcid":"https://orcid.org/0000-0001-7658-3845"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Peng","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing 100871, China","Wangxuan Institute of Computer Technology, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082075648","display_name":"Muwei Jian","orcid":"https://orcid.org/0000-0002-4249-2264"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muwei Jian","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250002, China","School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, 250002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250002, China","institution_ids":["https://openalex.org/I59483232"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, 250002, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046668357","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-1825-328X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China","Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China","Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.3375,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.98901099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":"1","first_page":"105","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7836402058601379},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.7689623832702637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692900538444519},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6211399435997009},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5234208106994629},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5050397515296936},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.455668568611145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4526292681694031},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44411998987197876},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4240304231643677},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.4127606153488159},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.411683589220047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4081841707229614},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27202552556991577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2241048514842987},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11300581693649292},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.1025141179561615},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09690040349960327},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08218827843666077}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7836402058601379},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.7689623832702637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692900538444519},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6211399435997009},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5234208106994629},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5050397515296936},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.455668568611145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4526292681694031},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44411998987197876},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4240304231643677},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.4127606153488159},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.411683589220047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4081841707229614},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27202552556991577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2241048514842987},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11300581693649292},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.1025141179561615},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09690040349960327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08218827843666077},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41095-021-0223-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0223-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0223-y.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.udes.edu.co:001/8203","is_oa":true,"landing_page_url":"https://repositorio.udes.edu.co/handle/001/8203","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Repositorio Universidad de Santander","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"pmh:oai:doaj.org/article:dd5e0a042b2d4a14947e20bf2698f7a7","is_oa":true,"landing_page_url":"https://doaj.org/article/dd5e0a042b2d4a14947e20bf2698f7a7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 8, Iss 1, Pp 105-118 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41095-021-0223-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0223-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0223-y.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1435598590","display_name":null,"funder_award_id":"61501417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2340980262","display_name":null,"funder_award_id":"41927805","funder_id":"https://openalex.org/F4320335765","funder_display_name":"National Key Scientific Instrument and Equipment Development Projects of China"},{"id":"https://openalex.org/G319730221","display_name":null,"funder_award_id":"41927805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6840609164","display_name":null,"funder_award_id":"61976123","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/F4320335765","display_name":"National Key Scientific Instrument and Equipment Development Projects of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209361581.pdf","grobid_xml":"https://content.openalex.org/works/W3209361581.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1487520337","https://openalex.org/W1566485861","https://openalex.org/W1583837637","https://openalex.org/W1974830217","https://openalex.org/W1975089519","https://openalex.org/W1975931458","https://openalex.org/W1978356057","https://openalex.org/W1996352068","https://openalex.org/W2006221045","https://openalex.org/W2048320148","https://openalex.org/W2076130323","https://openalex.org/W2085608034","https://openalex.org/W2093366637","https://openalex.org/W2097839898","https://openalex.org/W2103302606","https://openalex.org/W2112668648","https://openalex.org/W2121649761","https://openalex.org/W2125722165","https://openalex.org/W2134019950","https://openalex.org/W2143979639","https://openalex.org/W2149389319","https://openalex.org/W2150810898","https://openalex.org/W2158373453","https://openalex.org/W2160160544","https://openalex.org/W2161810906","https://openalex.org/W2254591945","https://openalex.org/W2766067961","https://openalex.org/W2787460109","https://openalex.org/W2884608015","https://openalex.org/W2889383273","https://openalex.org/W2897097528","https://openalex.org/W2916798096","https://openalex.org/W2922144044","https://openalex.org/W2948619611","https://openalex.org/W2952425628","https://openalex.org/W2963002018","https://openalex.org/W2963739397","https://openalex.org/W2964121744","https://openalex.org/W2969355753","https://openalex.org/W2970107519","https://openalex.org/W2970971581","https://openalex.org/W2982863468","https://openalex.org/W2990635811","https://openalex.org/W2995279756","https://openalex.org/W3005895305","https://openalex.org/W3034637632","https://openalex.org/W3034665604","https://openalex.org/W3088032605","https://openalex.org/W3093101131","https://openalex.org/W3109585842","https://openalex.org/W3109671265","https://openalex.org/W3116507971","https://openalex.org/W3151597212","https://openalex.org/W4229971152","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W1996671438","https://openalex.org/W2063805703","https://openalex.org/W2611841783","https://openalex.org/W4382897192","https://openalex.org/W4309710356","https://openalex.org/W4285595691","https://openalex.org/W2964954556","https://openalex.org/W3019910406","https://openalex.org/W4321200844","https://openalex.org/W2015341991"],"abstract_inverted_index":{"Photometric":[0],"stereo":[1,147,169],"aims":[2],"to":[3,30,48,58,66],"reconstruct":[4],"3D":[5,15],"geometry":[6],"by":[7,80],"recovering":[8],"the":[9,32,37,172],"dense":[10],"surface":[11,33],"orientation":[12,34],"of":[13,40,45,152],"a":[14,90,101,121],"object":[16],"from":[17],"multiple":[18],"images":[19],"under":[20],"differing":[21],"illumination.":[22],"Traditional":[23],"methods":[24,47,63],"normally":[25],"adopt":[26],"simplified":[27],"reflectance":[28],"models":[29],"make":[31],"computable.":[35],"However,":[36],"real":[38],"reflectances":[39],"surfaces":[41],"greatly":[42],"limit":[43],"applicability":[44],"such":[46,115],"real-world":[49],"objects.":[50],"While":[51],"deep":[52,131],"neural":[53,83],"networks":[54,84],"have":[55],"been":[56],"employed":[57],"handle":[59],"non-Lambertian":[60],"surfaces,":[61],"these":[62],"are":[64],"subject":[65],"blurring":[67],"and":[68,77,130,135],"errors,":[69],"especially":[70],"in":[71,114,144],"high-frequency":[72],"regions":[73],"(such":[74],"as":[75],"crinkles":[76],"edges),":[78],"caused":[79],"spectral":[81],"bias:":[82],"favor":[85],"low-frequency":[86],"representations":[87,129],"so":[88],"exhibit":[89],"bias":[91],"towards":[92],"smooth":[93],"functions.":[94],"In":[95],"this":[96],"paper,":[97],"therefore,":[98],"we":[99],"propose":[100],"self-learning":[102],"conditional":[103],"network":[104],"with":[105,149],"multi-scale":[106,122],"features":[107],"for":[108,155],"photometric":[109,146,168],"stereo,":[110],"avoiding":[111],"blurred":[112],"reconstruction":[113],"regions.":[116],"Our":[117],"explorations":[118],"include:":[119],"(i)":[120],"feature":[123,132],"fusion":[124],"architecture,":[125],"which":[126],"keeps":[127],"high-resolution":[128],"extraction,":[133],"simultaneously,":[134],"(ii)":[136],"an":[137],"improved":[138],"gradient-motivated":[139],"conditionally":[140],"parameterized":[141],"convolution":[142,153],"(GM-CondConv)":[143],"our":[145,166],"network,":[148],"different":[150],"combinations":[151],"kernels":[154],"varying":[156],"surfaces.":[157],"Extensive":[158],"experiments":[159],"on":[160],"public":[161],"benchmark":[162],"datasets":[163],"show":[164],"that":[165],"calibrated":[167],"method":[170],"outperforms":[171],"state-of-the-art.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
