{"id":"https://openalex.org/W3044667778","doi":"https://doi.org/10.1109/tnnls.2020.3006467","title":"Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes","display_name":"Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3044667778","doi":"https://doi.org/10.1109/tnnls.2020.3006467","mag":"3044667778","pmid":"https://pubmed.ncbi.nlm.nih.gov/32687472"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3006467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3006467","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/1903.03731","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013856180","display_name":"Hirak J. Kashyap","orcid":"https://orcid.org/0000-0003-0191-9337"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hirak J. Kashyap","raw_affiliation_strings":["Department of Computer Science, University of California at Irvine, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0191-9337","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California at Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044978076","display_name":"Charless C. Fowlkes","orcid":"https://orcid.org/0000-0002-2990-1780"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charless C. Fowlkes","raw_affiliation_strings":["Department of Computer Science, University of California at Irvine, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2990-1780","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California at Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011585098","display_name":"Jeffrey L. Krichmar","orcid":"https://orcid.org/0000-0003-0739-2468"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey L. Krichmar","raw_affiliation_strings":["Department of Cognitive Sciences, University of California at Irvine, Irvine, CA, USA","Department of Computer Science, University of California at Irvine, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0739-2468","affiliations":[{"raw_affiliation_string":"Department of Cognitive Sciences, University of California at Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Department of Computer Science, University of California at Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.5774,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65692835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"6","first_page":"2521","last_page":"2534"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9922000169754028,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8148941993713379},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6960148215293884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754027605056763},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.6505739092826843},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5113853812217712},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5019187927246094},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.44939830899238586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3819417357444763},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.266513466835022},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11193069815635681},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11030879616737366}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8148941993713379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6960148215293884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754027605056763},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.6505739092826843},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5113853812217712},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5019187927246094},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.44939830899238586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3819417357444763},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.266513466835022},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11193069815635681},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11030879616737366}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2020.3006467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3006467","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32687472","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32687472","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:arXiv.org:1903.03731","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.03731","pdf_url":"https://arxiv.org/pdf/1903.03731","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt7p53p8zv","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/7p53p8zv","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on neural networks and learning systems, vol 32, iss 6","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.03731","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.03731","pdf_url":"https://arxiv.org/pdf/1903.03731","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":0.5899999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3184196303","display_name":null,"funder_award_id":"IIS-1813785","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3657091727","display_name":null,"funder_award_id":"IIS-1253538","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G773639968","display_name":null,"funder_award_id":"CNS-1730158","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W169439271","https://openalex.org/W181676623","https://openalex.org/W612478963","https://openalex.org/W1513100184","https://openalex.org/W1522301498","https://openalex.org/W1531103298","https://openalex.org/W1612997784","https://openalex.org/W1659448245","https://openalex.org/W1902027874","https://openalex.org/W1921093919","https://openalex.org/W1952061682","https://openalex.org/W1952880150","https://openalex.org/W1969423031","https://openalex.org/W1970655212","https://openalex.org/W2007097535","https://openalex.org/W2008706659","https://openalex.org/W2021851106","https://openalex.org/W2031031248","https://openalex.org/W2036782019","https://openalex.org/W2047028564","https://openalex.org/W2050752817","https://openalex.org/W2055556996","https://openalex.org/W2070814988","https://openalex.org/W2080142539","https://openalex.org/W2095705004","https://openalex.org/W2097323375","https://openalex.org/W2098500213","https://openalex.org/W2099167393","https://openalex.org/W2100315781","https://openalex.org/W2102481828","https://openalex.org/W2105464873","https://openalex.org/W2106373744","https://openalex.org/W2107790757","https://openalex.org/W2108134361","https://openalex.org/W2109635530","https://openalex.org/W2118718620","https://openalex.org/W2118858186","https://openalex.org/W2120042939","https://openalex.org/W2124211486","https://openalex.org/W2126464006","https://openalex.org/W2133257461","https://openalex.org/W2135046866","https://openalex.org/W2140499889","https://openalex.org/W2144297066","https://openalex.org/W2145094598","https://openalex.org/W2150066425","https://openalex.org/W2153663612","https://openalex.org/W2154889144","https://openalex.org/W2156387975","https://openalex.org/W2164026645","https://openalex.org/W2210972093","https://openalex.org/W2259424905","https://openalex.org/W2283109172","https://openalex.org/W2337763793","https://openalex.org/W2608018946","https://openalex.org/W2609883120","https://openalex.org/W2737068486","https://openalex.org/W2762381996","https://openalex.org/W2810554001","https://openalex.org/W2912961521","https://openalex.org/W2963149945","https://openalex.org/W2963345294","https://openalex.org/W2963351303","https://openalex.org/W2963403249","https://openalex.org/W2963583471","https://openalex.org/W2963590054","https://openalex.org/W2963782415","https://openalex.org/W2963828549","https://openalex.org/W2963906250","https://openalex.org/W2964121744","https://openalex.org/W2964851543","https://openalex.org/W2964968086","https://openalex.org/W2985775862","https://openalex.org/W2997574889","https://openalex.org/W3100388886","https://openalex.org/W3103648783","https://openalex.org/W4236769309","https://openalex.org/W4255455317","https://openalex.org/W4300819821","https://openalex.org/W6631190155","https://openalex.org/W6631708475","https://openalex.org/W6674330103","https://openalex.org/W6677759377","https://openalex.org/W6677919164","https://openalex.org/W6679718588","https://openalex.org/W6681096077","https://openalex.org/W6682889407","https://openalex.org/W6736260464","https://openalex.org/W6745499552","https://openalex.org/W6752334915"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2759778908","https://openalex.org/W2798573714"],"abstract_inverted_index":{"Disentangling":[0],"the":[1,23,39,43,46,62,68,111,148,158,167,181,187,191,204,210,225,230,233],"sources":[2],"of":[3,27,45,132,160,183,190,253],"visual":[4],"motion":[5,14,47],"in":[6,151,186],"a":[7,28,85,101,137,173],"dynamic":[8,24,155,254],"scene":[9,63,113],"during":[10],"self-movement":[11],"or":[12],"ego":[13],"is":[15,42,116],"important":[16],"for":[17,128,157],"autonomous":[18],"navigation":[19],"and":[20,53,67,80,93,134,154,193,200,241,249],"tracking.":[21],"In":[22,163],"image":[25,98],"segments":[26,156],"video":[29],"frame":[30,41],"containing":[31],"independently":[32,131],"moving":[33],"objects,":[34],"optic":[35,226],"flow":[36],"relative":[37],"to":[38,51,64,88,107,110,165,217],"next":[40],"sum":[44],"fields":[48],"generated":[49],"due":[50,109],"camera":[52],"object":[54],"motion.":[55],"The":[56],"traditional":[57],"ego-motion":[58,81,91,123,129,141,161,207,242],"estimation":[59,208,243],"methods":[60,72],"assume":[61],"be":[65,215],"static,":[66],"recent":[69],"deep":[70],"learning-based":[71,86],"do":[73],"not":[74],"separate":[75],"pixel":[76],"velocities":[77],"into":[78],"object-":[79,240],"components.":[82],"We":[83],"propose":[84,172],"approach":[87],"predict":[89],"both":[90,152],"parameters":[92,130],"object-motion":[94],"field":[95,142],"(OMF)":[96],"from":[97],"sequences":[99],"using":[100],"convolutional":[102],"autoencoder":[103,192],"while":[104],"being":[105],"robust":[106],"variations":[108],"unconstrained":[112],"depth.":[114],"This":[115],"achieved":[117],"by:":[118],"1)":[119],"training":[120],"with":[121,229],"continuous":[122],"constraints":[124],"that":[125,179],"allow":[126],"solving":[127],"depth":[133],"2)":[135],"learning":[136],"sparsely":[138],"activated":[139],"overcomplete":[140],"(EMF)":[143],"basis":[144,169],"set,":[145,170],"which":[146],"eliminates":[147],"irrelevant":[149],"components":[150],"static":[153],"task":[159],"estimation.":[162],"order":[164],"learn":[166],"EMF":[168,213],"we":[171],"new":[174],"differentiable":[175],"sparsity":[176,195],"penalty":[177],"function":[178],"approximates":[180],"number":[182],"nonzero":[184],"activations":[185],"bottleneck":[188],"layer":[189],"enforces":[194],"more":[196],"effectively":[197],"than":[198],"L1-":[199],"L2-norm-based":[201],"penalties.":[202],"Unlike":[203],"existing":[205],"direct":[206],"methods,":[209],"predicted":[211],"global":[212],"can":[214],"used":[216],"extract":[218],"OMF":[219],"directly":[220],"by":[221],"comparing":[222],"it":[223],"against":[224],"flow.":[227],"Compared":[228],"state-of-the-art":[231],"baselines,":[232],"proposed":[234],"model":[235],"performs":[236],"favorably":[237],"on":[238,247],"pixelwise":[239],"tasks":[244],"when":[245],"evaluated":[246],"real":[248],"synthetic":[250],"data":[251],"sets":[252],"scenes.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
