{"id":"https://openalex.org/W3150318909","doi":"https://doi.org/10.1109/tip.2021.3131041","title":"High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion","display_name":"High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion","publication_year":2021,"publication_date":"2021-12-08","ids":{"openalex":"https://openalex.org/W3150318909","doi":"https://doi.org/10.1109/tip.2021.3131041","mag":"3150318909","pmid":"https://pubmed.ncbi.nlm.nih.gov/34878976"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3131041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3131041","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.01530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100714990","display_name":"Zhiwei Zhong","orcid":"https://orcid.org/0000-0002-7716-8261"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhong","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-7716-8261","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8857-1785","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5694-505X","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3434-9967","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026328487","display_name":"Zhiwen Chen","orcid":"https://orcid.org/0000-0002-8302-8839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiwen Chen","raw_affiliation_strings":["Taobao (China) Software Company Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8302-8839","affiliations":[{"raw_affiliation_string":"Taobao (China) Software Company Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Department of Automation and BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7333-9975","affiliations":[{"raw_affiliation_string":"Department of Automation and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4861,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.94054359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"648","last_page":"663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.732710599899292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726955771446228},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5876314043998718},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5778862237930298},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5509325265884399},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5241475701332092},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5147299766540527},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.469978004693985},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.45939868688583374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4590983986854553},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44678157567977905},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43181276321411133},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4290658235549927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2468285858631134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1063806414604187}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.732710599899292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726955771446228},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5876314043998718},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5778862237930298},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5509325265884399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5241475701332092},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5147299766540527},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.469978004693985},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.45939868688583374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4590983986854553},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44678157567977905},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43181276321411133},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4290658235549927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2468285858631134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1063806414604187},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2021.3131041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3131041","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:34878976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34878976","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2104.01530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.01530","pdf_url":"https://arxiv.org/pdf/2104.01530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.01530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.01530","pdf_url":"https://arxiv.org/pdf/2104.01530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3438946646","display_name":null,"funder_award_id":"61932022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6297762231","display_name":null,"funder_award_id":"61922027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G740671210","display_name":null,"funder_award_id":"2019YFE0109600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W125693051","https://openalex.org/W1513100184","https://openalex.org/W1677182931","https://openalex.org/W1874108206","https://openalex.org/W1918250297","https://openalex.org/W2090949637","https://openalex.org/W2099712288","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2109945199","https://openalex.org/W2118273112","https://openalex.org/W2124202434","https://openalex.org/W2125188192","https://openalex.org/W2133255058","https://openalex.org/W2136154655","https://openalex.org/W2137017911","https://openalex.org/W2141128914","https://openalex.org/W2147253850","https://openalex.org/W2153388956","https://openalex.org/W2159203540","https://openalex.org/W2194775991","https://openalex.org/W2476548250","https://openalex.org/W2494890720","https://openalex.org/W2520322935","https://openalex.org/W2520808298","https://openalex.org/W2741192765","https://openalex.org/W2752782242","https://openalex.org/W2801610446","https://openalex.org/W2809731038","https://openalex.org/W2886692902","https://openalex.org/W2893425817","https://openalex.org/W2897501237","https://openalex.org/W2899771611","https://openalex.org/W2904332125","https://openalex.org/W2904488225","https://openalex.org/W2904669139","https://openalex.org/W2907226170","https://openalex.org/W2907260333","https://openalex.org/W2910281775","https://openalex.org/W2912984848","https://openalex.org/W2922509574","https://openalex.org/W2949579494","https://openalex.org/W2950501738","https://openalex.org/W2951030570","https://openalex.org/W2955519013","https://openalex.org/W2963091558","https://openalex.org/W2963222130","https://openalex.org/W2963372104","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963870605","https://openalex.org/W2963980268","https://openalex.org/W2964121744","https://openalex.org/W2979326614","https://openalex.org/W2982763192","https://openalex.org/W2985577924","https://openalex.org/W2988407809","https://openalex.org/W2990674770","https://openalex.org/W3005941135","https://openalex.org/W3014859219","https://openalex.org/W3017315248","https://openalex.org/W3018664053","https://openalex.org/W3023064088","https://openalex.org/W3034552520","https://openalex.org/W3035521637","https://openalex.org/W3035574168","https://openalex.org/W3037743648","https://openalex.org/W3038079672","https://openalex.org/W3101690711","https://openalex.org/W3109230621","https://openalex.org/W3128112652","https://openalex.org/W3181108287","https://openalex.org/W4234282793","https://openalex.org/W4241716071","https://openalex.org/W6631190155","https://openalex.org/W6676600194","https://openalex.org/W6752378368","https://openalex.org/W6777028348"],"related_works":["https://openalex.org/W2486460843","https://openalex.org/W2168109476","https://openalex.org/W1968121071","https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2020254986","https://openalex.org/W2686985752","https://openalex.org/W2320915480","https://openalex.org/W2554736181"],"abstract_inverted_index":{"Depth":[0],"map":[1,23,36,55],"records":[2],"distance":[3],"between":[4],"the":[5,10,57,71,154],"viewpoint":[6],"and":[7,62,87,90,115,122,147,179,202],"objects":[8],"in":[9,17,195],"scene,":[11],"which":[12,47],"plays":[13],"a":[14,40,51,100,127,139,148,166],"critical":[15],"role":[16],"many":[18],"real-world":[19],"applications.":[20],"However,":[21],"depth":[22,35,54,61,121],"captured":[24],"by":[25],"consumer-grade":[26],"RGB-D":[27],"cameras":[28],"suffers":[29],"from":[30,56,119],"low":[31],"spatial":[32,177],"resolution.":[33],"Guided":[34],"super-resolution":[37],"(DSR)":[38],"is":[39,80],"popular":[41],"approach":[42,191],"to":[43,49,82,112,143,152,173],"address":[44],"this":[45,96],"problem,":[46],"attempts":[48],"restore":[50],"high-resolution":[52],"(HR)":[53],"input":[58],"low-resolution":[59],"(LR)":[60],"its":[63],"coupled":[64],"HR":[65,123],"RGB":[66],"image":[67],"that":[68,189],"serves":[69],"as":[70],"guidance.":[72],"The":[73],"most":[74],"challenging":[75],"issue":[76],"for":[77,108,134],"guided":[78,109],"DSR":[79],"how":[81],"correctly":[83],"select":[84,144],"consistent":[85],"structures":[86],"propagate":[88],"them,":[89],"properly":[91],"handle":[92],"inconsistent":[93],"ones.":[94],"In":[95],"paper,":[97],"we":[98,125,164],"propose":[99,126,165],"novel":[101],"attention-based":[102],"hierarchical":[103,135,168],"multi-modal":[104,128],"fusion":[105,131],"(AHMF)":[106],"network":[107],"DSR.":[110],"Specifically,":[111],"effectively":[113],"extract":[114],"combine":[116],"relevant":[117],"information":[118,178,182],"LR":[120],"guidance,":[124],"attention":[129],"based":[130],"(MMAF)":[132],"strategy":[133],"convolutional":[136],"layers,":[137],"including":[138],"feature":[140,149,169],"enhancement":[141],"block":[142,151],"valuable":[145],"features":[146],"recalibration":[150],"unify":[153],"similarity":[155],"metrics":[156],"of":[157,197],"modalities":[158],"with":[159],"different":[160],"appearance":[161],"characteristics.":[162],"Furthermore,":[163],"bi-directional":[167],"collaboration":[170],"(BHFC)":[171],"module":[172],"fully":[174],"leverage":[175],"low-level":[176],"high-level":[180],"structure":[181],"among":[183],"multi-scale":[184],"features.":[185],"Experimental":[186],"results":[187],"show":[188],"our":[190],"outperforms":[192],"state-of-the-art":[193],"methods":[194],"terms":[196],"reconstruction":[198],"accuracy,":[199],"running":[200],"speed":[201],"memory":[203],"efficiency.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}