{"id":"https://openalex.org/W4383109097","doi":"https://doi.org/10.1109/icra48891.2023.10160785","title":"Online Consistent Video Depth with Gaussian Mixture Representation","display_name":"Online Consistent Video Depth with Gaussian Mixture Representation","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383109097","doi":"https://doi.org/10.1109/icra48891.2023.10160785"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10160785","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra48891.2023.10160785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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/A5039318614","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0001-9217-3256"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chao Liu","raw_affiliation_strings":["NVIDIA Research,Santa Clara,CA,USA","NVIDIA Research, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Research,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009409073","display_name":"Benjamin Eckart","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Eckart","raw_affiliation_strings":["NVIDIA Research,Santa Clara,CA,USA","NVIDIA Research, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Research,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056503617","display_name":"Jan Kautz","orcid":"https://orcid.org/0000-0002-8830-429X"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan Kautz","raw_affiliation_strings":["NVIDIA Research,Santa Clara,CA,USA","NVIDIA Research, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Research,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039318614"],"corresponding_institution_ids":["https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06558246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"6109","last_page":"6116"},"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":0.996999979019165,"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":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.7798362374305725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6596980690956116},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6052584648132324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6027249097824097},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5736055970191956},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5512901544570923},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5314549207687378},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.47479456663131714},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47363796830177307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3450384736061096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798362374305725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6596980690956116},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6052584648132324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6027249097824097},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5736055970191956},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5512901544570923},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5314549207687378},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.47479456663131714},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47363796830177307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3450384736061096},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10160785","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icra48891.2023.10160785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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":67,"referenced_works":["https://openalex.org/W1938204631","https://openalex.org/W1987648924","https://openalex.org/W1993244675","https://openalex.org/W2021851106","https://openalex.org/W2042819305","https://openalex.org/W2049633694","https://openalex.org/W2099940712","https://openalex.org/W2118246710","https://openalex.org/W2137341062","https://openalex.org/W2150066425","https://openalex.org/W2250172176","https://openalex.org/W2307770531","https://openalex.org/W2429678572","https://openalex.org/W2471962767","https://openalex.org/W2560474170","https://openalex.org/W2594519801","https://openalex.org/W2609883120","https://openalex.org/W2738551266","https://openalex.org/W2745144057","https://openalex.org/W2808456995","https://openalex.org/W2883606943","https://openalex.org/W2942368658","https://openalex.org/W2943445277","https://openalex.org/W2951234442","https://openalex.org/W2963488291","https://openalex.org/W2963627347","https://openalex.org/W2963654727","https://openalex.org/W2963926543","https://openalex.org/W2964254721","https://openalex.org/W2981657250","https://openalex.org/W2982102242","https://openalex.org/W2995124519","https://openalex.org/W3034259269","https://openalex.org/W3034528136","https://openalex.org/W3034604951","https://openalex.org/W3034801905","https://openalex.org/W3035333439","https://openalex.org/W3035591705","https://openalex.org/W3048510980","https://openalex.org/W3096538374","https://openalex.org/W3097932847","https://openalex.org/W3102132650","https://openalex.org/W3107527198","https://openalex.org/W3109908659","https://openalex.org/W3126131691","https://openalex.org/W3166582215","https://openalex.org/W3167071962","https://openalex.org/W3171953850","https://openalex.org/W3174541782","https://openalex.org/W3174752334","https://openalex.org/W3184957317","https://openalex.org/W3185841081","https://openalex.org/W3190965961","https://openalex.org/W3203257492","https://openalex.org/W4200150166","https://openalex.org/W4200420145","https://openalex.org/W4214520160","https://openalex.org/W4233857083","https://openalex.org/W4285886409","https://openalex.org/W6685261749","https://openalex.org/W6752763597","https://openalex.org/W6756774061","https://openalex.org/W6775583579","https://openalex.org/W6782003584","https://openalex.org/W6782298681","https://openalex.org/W6789807058","https://openalex.org/W6799838802"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W2990323019","https://openalex.org/W4386083130","https://openalex.org/W2014494654","https://openalex.org/W3130349901","https://openalex.org/W1579833936","https://openalex.org/W2095350775","https://openalex.org/W2023355163","https://openalex.org/W1952261593","https://openalex.org/W1578916557"],"abstract_inverted_index":{"We":[0],"demonstrate":[1],"how":[2],"off-the-shelf":[3],"single-image":[4],"depth":[5,22,43],"estimation":[6,23],"methods":[7,151],"can":[8],"be":[9],"augmented":[10],"with":[11],"guidance":[12],"from":[13,90,133],"optical":[14,40],"flow":[15,41],"to":[16,125],"achieve":[17],"consistent":[18,127],"and":[19,42,63,107,129],"accurate":[20],"online":[21,83,143],"using":[24],"video":[25,61,93,134],"sequences":[26,135],"of":[27,39,67,136],"static":[28,137],"scenes.":[29],"While":[30],"previous":[31],"work":[32],"has":[33],"successfully":[34],"leveraged":[35],"the":[36,68,110],"complementary":[37],"nature":[38],"estimation,":[44],"these":[45],"techniques":[46],"use":[47],"computationally":[48,75],"expensive":[49],"test":[50],"time":[51],"optimization":[52],"strategies":[53],"that":[54,79,105,152],"do":[55],"not":[56],"generalize":[57],"beyond":[58],"a":[59,74,100,113],"single":[60],"sequence":[62,155],"also":[64],"require":[65,153],"knowledge":[66],"future.":[69],"In":[70],"contrast,":[71],"we":[72,98],"present":[73],"efficient":[76],"feed-forward":[77],"design":[78],"runs":[80],"in":[81],"an":[82],"fashion":[84],"by":[85],"utilizing":[86],"learned":[87],"data":[88],"priors":[89],"previously":[91],"seen":[92],"sequences.":[94],"To":[95],"accomplish":[96],"this,":[97],"propose":[99],"continuous":[101],"geometric":[102],"scene":[103,111],"representation":[104],"parametrically":[106],"compositionally":[108],"represents":[109],"as":[112],"Gaussian":[114],"Mixture":[115],"Model":[116],"(GMM).":[117],"Based":[118],"on":[119],"this":[120],"representation,":[121],"our":[122],"pipeline":[123],"learns":[124],"estimate":[126],"depths":[128],"associated":[130],"camera":[131],"poses":[132],"scenes":[138],"without":[139],"direct":[140],"supervision.":[141],"Our":[142],"method":[144],"achieves":[145],"state-of-the-art":[146],"results":[147],"compared":[148],"against":[149],"offline":[150],"all":[154],"frames.":[156]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}