{"id":"https://openalex.org/W3034637632","doi":"https://doi.org/10.24963/ijcai.2020/97","title":"Pay Attention to Devils: A Photometric Stereo Network for Better Details","display_name":"Pay Attention to Devils: A Photometric Stereo Network for Better Details","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034637632","doi":"https://doi.org/10.24963/ijcai.2020/97","mag":"3034637632"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/97","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/97","pdf_url":"https://www.ijcai.org/proceedings/2020/0097.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0097.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":true,"raw_author_name":"Yakun Ju","raw_affiliation_strings":["Ocean University of China","Department of Computer Science and Technology, Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019678322","display_name":"Kin\u2010Man Lam","orcid":"https://orcid.org/0000-0002-0422-8454"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kin-Man Lam","raw_affiliation_strings":["The Hong Kong Polytechnic University","Department of Electronic and Information Engineering, The Hong Kong Polytechnic University"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350363","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0001-6919-1763"},"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":"Yang Chen","raw_affiliation_strings":["Ocean University of China","Department of Computer Science and Technology, Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410859","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0001-6991-4669"},"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":"Lin Qi","raw_affiliation_strings":["Ocean University of China","Department of Computer Science and Technology, Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of 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":["Ocean University of China","Department of Computer Science and Technology, Ocean University of China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086183661"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":20.2765,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.99173671,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"694","last_page":"700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9977999925613403,"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/pixel","display_name":"Pixel","score":0.7184852361679077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7167056798934937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152938842773438},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.5895320177078247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5337926149368286},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.510101854801178},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4639636278152466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40368348360061646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3609398603439331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21801882982254028},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05158236622810364}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7184852361679077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7167056798934937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152938842773438},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.5895320177078247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5337926149368286},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.510101854801178},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4639636278152466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40368348360061646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3609398603439331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21801882982254028},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05158236622810364}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2020/97","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/97","pdf_url":"https://www.ijcai.org/proceedings/2020/0097.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/106882","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/106882","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/106882/1/0097.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/97","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/97","pdf_url":"https://www.ijcai.org/proceedings/2020/0097.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"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/G3575685953","display_name":null,"funder_award_id":"U170621","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"},{"id":"https://openalex.org/G8025905427","display_name":null,"funder_award_id":"U1706218","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/W3034637632.pdf","grobid_xml":"https://content.openalex.org/works/W3034637632.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1487520337","https://openalex.org/W1975089519","https://openalex.org/W1978356057","https://openalex.org/W1991572170","https://openalex.org/W2051218308","https://openalex.org/W2076130323","https://openalex.org/W2085608034","https://openalex.org/W2097839898","https://openalex.org/W2112417771","https://openalex.org/W2121649761","https://openalex.org/W2143979639","https://openalex.org/W2150810898","https://openalex.org/W2158373453","https://openalex.org/W2194775991","https://openalex.org/W2561074213","https://openalex.org/W2766067961","https://openalex.org/W2787460109","https://openalex.org/W2805635917","https://openalex.org/W2884608015","https://openalex.org/W2922144044","https://openalex.org/W2963073614","https://openalex.org/W2969355753","https://openalex.org/W2995279756","https://openalex.org/W4238014374"],"related_works":["https://openalex.org/W2071501285","https://openalex.org/W2118082161","https://openalex.org/W1904220063","https://openalex.org/W4210268023","https://openalex.org/W2122468143","https://openalex.org/W2068149630","https://openalex.org/W4236816986","https://openalex.org/W2182270966","https://openalex.org/W1992667393","https://openalex.org/W2116599779"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,71],"attention-weighted":[3,44,85,96],"loss":[4,45,86,97,105],"in":[5,17,47,58],"a":[6,34,48,66,83],"photometric":[7,122],"stereo":[8,123],"neural":[9],"network":[10,63],"to":[11,81,106],"improve":[12],"3D":[13],"surface":[14,67,109],"recovery":[15],"accuracy":[16],"complex-structured":[18],"areas,":[19],"such":[20,59],"as":[21],"edges":[22],"and":[23,70,75,125],"crinkles,":[24],"where":[25],"existing":[26],"learning-based":[27,127],"methods":[28],"often":[29],"failed.":[30],"Instead":[31],"of":[32,101],"using":[33],"uniform":[35],"penalty":[36],"for":[37,51],"all":[38],"pixels,":[39],"our":[40,117],"method":[41],"employs":[42],"the":[43,77,95,102],"learned":[46],"self-supervise":[49],"manner":[50],"each":[52],"pixel,":[53],"avoiding":[54],"blurry":[55],"reconstruction":[56],"result":[57],"difficult":[60],"regions.":[61,91],"The":[62],"first":[64],"estimates":[65],"normal":[68],"map":[69],"adaptive":[72],"attention":[73],"map,":[74],"then":[76],"latter":[78],"is":[79],"used":[80],"calculate":[82],"pixel-wise":[84],"that":[87,116],"focuses":[88],"on":[89,112],"complex":[90],"In":[92],"these":[93],"regions,":[94],"applies":[98],"higher":[99],"weights":[100],"detail-preserving":[103],"gradient":[104],"produce":[107],"clear":[108],"reconstructions.":[110],"Experiments":[111],"real":[113],"datasets":[114],"show":[115],"approach":[118],"significantly":[119],"outperforms":[120],"traditional":[121],"algorithms":[124],"state-of-the-art":[126],"methods.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
