{"id":"https://openalex.org/W4404238469","doi":"https://doi.org/10.1109/tci.2024.3496312","title":"Recurrent Cross-Modality Fusion for Time-of-Flight Depth Denoising","display_name":"Recurrent Cross-Modality Fusion for Time-of-Flight Depth Denoising","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404238469","doi":"https://doi.org/10.1109/tci.2024.3496312"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3496312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3496312","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-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/A5114948746","display_name":"Guanting Dong","orcid":"https://orcid.org/0009-0005-6401-1459"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanting Dong","raw_affiliation_strings":["MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-6401-1459","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136560","display_name":"Yueyi Zhang","orcid":"https://orcid.org/0000-0003-0788-8826"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyi Zhang","raw_affiliation_strings":["MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0788-8826","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656317","display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0000-0003-3638-5566"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-3638-5566","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008612863","display_name":"Zhiwei Xiong","orcid":"https://orcid.org/0000-0002-9787-7460"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xiong","raw_affiliation_strings":["MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-9787-7460","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.7893,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77659386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"1626","last_page":"1639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9850999712944031,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.631783127784729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6058336496353149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5541189312934875},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5342285633087158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5293857455253601},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4899067282676697},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.42216262221336365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1182941198348999}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.631783127784729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6058336496353149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5541189312934875},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5342285633087158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5293857455253601},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4899067282676697},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.42216262221336365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1182941198348999},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2024.3496312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3496312","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G262421580","display_name":null,"funder_award_id":"61901435","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3853017535","display_name":null,"funder_award_id":"62472399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6308808780","display_name":null,"funder_award_id":"62021001","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W75517964","https://openalex.org/W1826919311","https://openalex.org/W1901129140","https://openalex.org/W1924770834","https://openalex.org/W1983193557","https://openalex.org/W1984241286","https://openalex.org/W2023021573","https://openalex.org/W2066657300","https://openalex.org/W2071316876","https://openalex.org/W2072400982","https://openalex.org/W2076954462","https://openalex.org/W2091284109","https://openalex.org/W2140711847","https://openalex.org/W2167860114","https://openalex.org/W2168894291","https://openalex.org/W2290804905","https://openalex.org/W2314059154","https://openalex.org/W2486979733","https://openalex.org/W2738449271","https://openalex.org/W2768431869","https://openalex.org/W2799224898","https://openalex.org/W2806332096","https://openalex.org/W2884480653","https://openalex.org/W2912290085","https://openalex.org/W2912555761","https://openalex.org/W2944851425","https://openalex.org/W2954563178","https://openalex.org/W2963200935","https://openalex.org/W2963495494","https://openalex.org/W2963782415","https://openalex.org/W2989809735","https://openalex.org/W2996166203","https://openalex.org/W2998785217","https://openalex.org/W3002301267","https://openalex.org/W3011395398","https://openalex.org/W3034455297","https://openalex.org/W3034953156","https://openalex.org/W3093013777","https://openalex.org/W3106403396","https://openalex.org/W3109262191","https://openalex.org/W3109908659","https://openalex.org/W3122633743","https://openalex.org/W3135228757","https://openalex.org/W3136022415","https://openalex.org/W3171979435","https://openalex.org/W3173668541","https://openalex.org/W3174256730","https://openalex.org/W3176027594","https://openalex.org/W3177330511","https://openalex.org/W3198777869","https://openalex.org/W3210474784","https://openalex.org/W3212385028","https://openalex.org/W3215781568","https://openalex.org/W3217109532","https://openalex.org/W4206016718","https://openalex.org/W4226265017","https://openalex.org/W4280619793","https://openalex.org/W4312842294","https://openalex.org/W4312901872","https://openalex.org/W4318821903","https://openalex.org/W4386065645","https://openalex.org/W4386071502","https://openalex.org/W4390480806","https://openalex.org/W6640212811","https://openalex.org/W6713134421","https://openalex.org/W6764514022","https://openalex.org/W6838493695"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"The":[0],"widespread":[1],"use":[2],"of":[3,56,63,96,168],"Time-of-Flight":[4],"(ToF)":[5],"depth":[6,30,126,145],"cameras":[7],"in":[8,37,42,46],"academia":[9],"and":[10,20,124,138,146,153,162],"industry":[11],"is":[12,50,90],"limited":[13],"by":[14],"noise,":[15,22],"such":[16],"as":[17],"Multi-Path-Interference":[18],"(MPI)":[19],"shot":[21],"which":[23,149],"hampers":[24],"their":[25],"ability":[26],"to":[27,53,68,114,143],"produce":[28],"high-quality":[29],"images.":[31],"Learning-based":[32],"ToF":[33],"denoising":[34,151],"methods":[35],"currently":[36],"existence":[38],"often":[39],"face":[40],"challenges":[41],"delivering":[43],"satisfactory":[44],"performance":[45,152],"complex":[47],"scenes.":[48],"This":[49],"primarily":[51],"attributed":[52],"the":[54,61,86,97,101,121,166],"impact":[55],"multiple":[57,129],"reflected":[58],"signals":[59],"on":[60,159],"formation":[62],"MPI,":[64],"rendering":[65],"it":[66],"challenging":[67],"predict":[69],"MPI":[70,89,122],"directly":[71],"through":[72],"spatially-varying":[73],"convolutions.":[74],"To":[75],"address":[76],"this":[77],"limitation,":[78],"we":[79,132],"adopt":[80],"a":[81,107,116,134,139],"recurrent":[82],"architecture":[83],"that":[84,88],"exploits":[85],"prior":[87],"decomposable":[91],"into":[92],"an":[93],"additive":[94],"combination":[95],"geometric":[98],"information":[99],"for":[100],"neighboring":[102],"pixels.":[103],"Our":[104],"approach":[105,170],"employs":[106],"Gated":[108],"Recurrent":[109],"Unit":[110],"(GRU)":[111],"based":[112],"network":[113],"estimate":[115],"long-distance":[117],"aggregation":[118],"process,":[119],"simplifying":[120],"removal":[123],"updating":[125],"correction":[127],"over":[128,171],"steps.":[130],"Additionally,":[131],"introduce":[133],"global":[135],"restoration":[136],"module":[137,142],"local":[140],"update":[141],"fuse":[144],"amplitude":[147],"features,":[148],"improves":[150],"prevents":[154],"structural":[155],"distortions.":[156],"Experimental":[157],"results":[158],"both":[160],"synthetic":[161],"real-world":[163],"datasets":[164],"demonstrate":[165],"superiority":[167],"our":[169],"state-of-the-art":[172],"methods.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}