{"id":"https://openalex.org/W4399418607","doi":"https://doi.org/10.1145/3651671.3651703","title":"PDE-Net: Pyramid Depth Estimation Network for Light Fields","display_name":"PDE-Net: Pyramid Depth Estimation Network for Light Fields","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418607","doi":"https://doi.org/10.1145/3651671.3651703"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5100417376","display_name":"Qiong Wang","orcid":"https://orcid.org/0000-0002-3921-0043"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiong Wang","raw_affiliation_strings":["Zhejiang University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3921-0043","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085035158","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-5564-5074"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["Zhejiang University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-5564-5074","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100417376"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61361084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"670","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.998199999332428,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9973000288009644,"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/light-field","display_name":"Light field","score":0.7790422439575195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7505286335945129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064984440803528},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7058775424957275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5819212794303894},{"id":"https://openalex.org/keywords/discontinuity","display_name":"Discontinuity (linguistics)","score":0.5705194473266602},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5362358093261719},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5360221266746521},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4241545796394348},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4144821763038635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36392346024513245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15144655108451843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12290862202644348}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.7790422439575195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7505286335945129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064984440803528},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7058775424957275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5819212794303894},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.5705194473266602},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5362358093261719},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5360221266746521},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4241545796394348},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4144821763038635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36392346024513245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15144655108451843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12290862202644348},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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":18,"referenced_works":["https://openalex.org/W1914596733","https://openalex.org/W2322480645","https://openalex.org/W2586620788","https://openalex.org/W2752279250","https://openalex.org/W2753230437","https://openalex.org/W2783516823","https://openalex.org/W2794220116","https://openalex.org/W2901630465","https://openalex.org/W2949362021","https://openalex.org/W2962791144","https://openalex.org/W2970963559","https://openalex.org/W2973562217","https://openalex.org/W3106030537","https://openalex.org/W3195405910","https://openalex.org/W4206928288","https://openalex.org/W4361290961","https://openalex.org/W4382465799","https://openalex.org/W4400878855"],"related_works":["https://openalex.org/W1702821","https://openalex.org/W1484056900","https://openalex.org/W4244584856","https://openalex.org/W2127980043","https://openalex.org/W1989965977","https://openalex.org/W1179533853","https://openalex.org/W2372950632","https://openalex.org/W2136634899","https://openalex.org/W4206776094","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Depth":[0,66],"information":[1],"is":[2],"critical":[3],"for":[4,30],"highly":[5],"developed":[6],"robotic":[7],"systems":[8],"which":[9,52],"need":[10],"the":[11,31,38,56,72,87,104,108,114],"global":[12],"perception":[13],"of":[14,26,40,82,107],"their":[15],"surroundings.":[16],"A":[17],"light":[18,46,83,95,100],"field":[19,47,96,101],"camera":[20],"records":[21],"with":[22,55],"a":[23,45],"large":[24],"amount":[25],"data,":[27],"increasing":[28],"potentials":[29],"depth":[32,42,50],"estimation":[33,43],"improvements.":[34],"This":[35],"paper":[36],"addresses":[37],"challenge":[39],"performing":[41],"from":[44,76],"image:":[48],"preserving":[49],"discontinuity,":[51],"provides":[53],"robotics":[54],"more":[57],"precise":[58],"perception.":[59],"We":[60],"design":[61],"an":[62],"end-to-end":[63],"trainable":[64],"Pyramid":[65],"Estimation":[67],"Network":[68],"PDE-Net,":[69],"by":[70],"introducing":[71],"multi-scale":[73],"feature":[74],"merging":[75],"stacked":[77],"images":[78],"along":[79],"four":[80],"directions":[81],"fields":[84],"to":[85,113],"perform":[86],"coarse-to-fine":[88],"estimation.":[89],"Extensive":[90],"experiments":[91],"on":[92],"both":[93],"synthetic":[94],"datasets":[97,102],"and":[98],"real-world":[99],"demonstrate":[103],"superior":[105],"performance":[106],"proposed":[109],"learning-based":[110],"method":[111],"compared":[112],"state-of-the-art":[115],"methods.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
