{"id":"https://openalex.org/W3009783082","doi":"https://doi.org/10.1109/wacv45572.2020.9093407","title":"A Multi-Scale Guided Cascade Hourglass Network for Depth Completion","display_name":"A Multi-Scale Guided Cascade Hourglass Network for Depth Completion","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3009783082","doi":"https://doi.org/10.1109/wacv45572.2020.9093407","mag":"3009783082"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100413575","display_name":"Ang Li","orcid":"https://orcid.org/0000-0001-7018-8326"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005376529","display_name":"Zejian Yuan","orcid":"https://orcid.org/0000-0001-5548-3634"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejian Yuan","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088062859","display_name":"Yonggen Ling","orcid":"https://orcid.org/0000-0001-8294-6286"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggen Ling","raw_affiliation_strings":["Tencent Robotics X, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Robotics X, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030364414","display_name":"Wanchao Chi","orcid":"https://orcid.org/0000-0002-0737-1416"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanchao Chi","raw_affiliation_strings":["Tencent Robotics X, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Robotics X, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075568384","display_name":"Shenghao Zhang","orcid":"https://orcid.org/0000-0002-3870-1975"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghao Zhang","raw_affiliation_strings":["Tencent Robotics X, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Robotics X, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393899","display_name":"Chong Zhang","orcid":"https://orcid.org/0000-0002-2162-4344"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Zhang","raw_affiliation_strings":["Tencent Robotics X, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Robotics X, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6039,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.97604813,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"40"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983000159263611,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"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/cascade","display_name":"Cascade","score":0.8211644887924194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78526771068573},{"id":"https://openalex.org/keywords/hourglass","display_name":"Hourglass","score":0.7595014572143555},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7213099002838135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6572147011756897},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.567505955696106},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5567281246185303},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5536961555480957},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45795121788978577},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42584747076034546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4103895425796509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.399149090051651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3885403275489807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07834053039550781}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.8211644887924194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78526771068573},{"id":"https://openalex.org/C127532173","wikidata":"https://www.wikidata.org/wiki/Q179904","display_name":"Hourglass","level":2,"score":0.7595014572143555},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7213099002838135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6572147011756897},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.567505955696106},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5567281246185303},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5536961555480957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45795121788978577},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42584747076034546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4103895425796509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.399149090051651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3885403275489807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07834053039550781},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W2307770531","https://openalex.org/W2419448466","https://openalex.org/W2520322935","https://openalex.org/W2560023338","https://openalex.org/W2740036778","https://openalex.org/W2762439315","https://openalex.org/W2794739174","https://openalex.org/W2805646839","https://openalex.org/W2807828983","https://openalex.org/W2886851716","https://openalex.org/W2899479761","https://openalex.org/W2913107100","https://openalex.org/W2962850830","https://openalex.org/W2962891704","https://openalex.org/W2963316641","https://openalex.org/W2963619659","https://openalex.org/W2963867516","https://openalex.org/W2964110533","https://openalex.org/W2964121744","https://openalex.org/W2964217532","https://openalex.org/W2964326562","https://openalex.org/W2969202876","https://openalex.org/W2991593752","https://openalex.org/W2998293366","https://openalex.org/W4293406525","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6697925102","https://openalex.org/W6717372056","https://openalex.org/W6737324727","https://openalex.org/W6742631852","https://openalex.org/W6751382148","https://openalex.org/W6754164750","https://openalex.org/W6755789610"],"related_works":["https://openalex.org/W2008001194","https://openalex.org/W2512390310","https://openalex.org/W2059645356","https://openalex.org/W3141841835","https://openalex.org/W2380057626","https://openalex.org/W2033695776","https://openalex.org/W2354533751","https://openalex.org/W2755014831","https://openalex.org/W1509096452","https://openalex.org/W2079475205"],"abstract_inverted_index":{"Depth":[0],"completion,":[1],"a":[2,49],"task":[3],"to":[4,22,55,86],"estimate":[5],"the":[6,14,17,41,69,92,100,106],"dense":[7],"depth":[8,42,135],"map":[9,43],"from":[10,16,83],"sparse":[11,73],"measurement":[12],"under":[13],"guidance":[15,89],"high-resolution":[18],"image,":[19],"is":[20],"essential":[21],"many":[23],"computer":[24],"vision":[25],"applications.":[26],"Most":[27],"previous":[28],"methods":[29],"building":[30],"on":[31],"fully":[32],"convolutional":[33],"networks":[34],"can":[35,114],"not":[36],"handle":[37],"diverse":[38],"patterns":[39],"in":[40,68,75,133,141],"efficiently":[44],"and":[45],"effectively.":[46],"We":[47],"propose":[48],"multi-scale":[50,81,95],"guided":[51],"cascade":[52,70,103],"hourglass":[53],"network":[54,71],"tackle":[56],"this":[57],"problem.":[58],"Structures":[59],"at":[60],"different":[61],"levels":[62],"are":[63],"captured":[64],"by":[65],"specialized":[66],"hourglasses":[67],"with":[72,117,131,138],"inputs":[74],"various":[76],"sizes.":[77],"An":[78],"encoder":[79],"extracts":[80],"features":[82],"color":[84],"image":[85],"provide":[87],"deep":[88],"for":[90],"all":[91],"hourglasses.":[93],"A":[94],"training":[96],"strategy":[97],"further":[98],"activates":[99],"effect":[101],"of":[102,108],"stages.":[104],"With":[105],"role":[107],"each":[109],"sub-module":[110],"divided":[111],"explicitly,":[112],"we":[113],"implement":[115],"components":[116],"simple":[118],"architectures.":[119],"Extensive":[120],"experiments":[121],"show":[122],"that":[123],"our":[124],"lightweight":[125],"model":[126],"achieves":[127],"competitive":[128],"results":[129],"compared":[130],"state-of-the-art":[132],"KITTI":[134],"completion":[136],"benchmark,":[137],"low":[139],"complexity":[140],"run-time.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
