{"id":"https://openalex.org/W4383108563","doi":"https://doi.org/10.1109/icra48891.2023.10161262","title":"Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding","display_name":"Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383108563","doi":"https://doi.org/10.1109/icra48891.2023.10161262"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10161262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161262","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/A5072993100","display_name":"Takeru Oba","orcid":"https://orcid.org/0000-0002-8858-3647"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takeru Oba","raw_affiliation_strings":["Graduate School of Engineering, Toyota Technological Institute,Nagoya,Japan,468-8511"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Toyota Technological Institute,Nagoya,Japan,468-8511","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053167635","display_name":"Norimichi Ukita","orcid":"https://orcid.org/0000-0002-0240-1065"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norimichi Ukita","raw_affiliation_strings":["Graduate School of Engineering, Toyota Technological Institute,Nagoya,Japan,468-8511"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Toyota Technological Institute,Nagoya,Japan,468-8511","institution_ids":["https://openalex.org/I4840577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072993100"],"corresponding_institution_ids":["https://openalex.org/I4840577"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50785319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5013","last_page":"5019"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.7428647875785828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7380415201187134},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6734211444854736},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6632918119430542},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6467223763465881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6446885466575623},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5643388032913208},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5452682375907898},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5369491577148438},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5244900584220886},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49979662895202637},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4739116430282593},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.46907657384872437},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44995197653770447},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4252592921257019},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.41790467500686646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3642345666885376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2026022970676422},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07041996717453003}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7428647875785828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7380415201187134},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6734211444854736},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6632918119430542},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6467223763465881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6446885466575623},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5643388032913208},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5452682375907898},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5369491577148438},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5244900584220886},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49979662895202637},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4739116430282593},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.46907657384872437},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44995197653770447},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4252592921257019},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.41790467500686646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3642345666885376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2026022970676422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07041996717453003},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10161262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161262","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":72,"referenced_works":["https://openalex.org/W1505878979","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W1983452151","https://openalex.org/W2064675550","https://openalex.org/W2152790380","https://openalex.org/W2154987621","https://openalex.org/W2157331557","https://openalex.org/W2735089625","https://openalex.org/W2785678896","https://openalex.org/W2949924544","https://openalex.org/W2954718200","https://openalex.org/W2962894046","https://openalex.org/W2963277051","https://openalex.org/W2963324990","https://openalex.org/W2963623257","https://openalex.org/W2963669336","https://openalex.org/W2964079724","https://openalex.org/W2964086597","https://openalex.org/W2964157221","https://openalex.org/W2964203186","https://openalex.org/W3002101995","https://openalex.org/W3004407381","https://openalex.org/W3004970274","https://openalex.org/W3007769740","https://openalex.org/W3009593063","https://openalex.org/W3035166812","https://openalex.org/W3036167779","https://openalex.org/W3036644940","https://openalex.org/W3041956526","https://openalex.org/W3096831136","https://openalex.org/W3104722529","https://openalex.org/W3105013723","https://openalex.org/W3109597949","https://openalex.org/W3118605064","https://openalex.org/W3153832461","https://openalex.org/W3160050461","https://openalex.org/W3175661831","https://openalex.org/W3191807689","https://openalex.org/W3203206590","https://openalex.org/W3204623367","https://openalex.org/W3207751759","https://openalex.org/W4206482093","https://openalex.org/W4214677627","https://openalex.org/W4280579774","https://openalex.org/W4293849739","https://openalex.org/W4295521014","https://openalex.org/W4297798428","https://openalex.org/W4312443924","https://openalex.org/W4312611171","https://openalex.org/W4385245566","https://openalex.org/W6638444622","https://openalex.org/W6639824700","https://openalex.org/W6640963894","https://openalex.org/W6682948231","https://openalex.org/W6714644935","https://openalex.org/W6718092244","https://openalex.org/W6735913928","https://openalex.org/W6738536549","https://openalex.org/W6739901393","https://openalex.org/W6741115023","https://openalex.org/W6748582592","https://openalex.org/W6753441378","https://openalex.org/W6764769363","https://openalex.org/W6773419485","https://openalex.org/W6778946027","https://openalex.org/W6779823529","https://openalex.org/W6780593937","https://openalex.org/W6783637136","https://openalex.org/W6785837531","https://openalex.org/W6800425027","https://openalex.org/W6838767951"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1530267862","https://openalex.org/W1967654336","https://openalex.org/W2153529351","https://openalex.org/W2016848112","https://openalex.org/W1541334882","https://openalex.org/W2169116484","https://openalex.org/W2157391823","https://openalex.org/W2040149295","https://openalex.org/W2140285056"],"abstract_inverted_index":{"This":[0],"paper":[1,94],"proposes":[2,96],"a":[3,19,97,140],"probabilistic":[4],"motion":[5,12,57,68,86,99,111],"prediction":[6],"method":[7,32,62,136],"for":[8,47,110],"long":[9],"motions.":[10],"The":[11,131],"is":[13,137],"predicted":[14],"so":[15,79],"that":[16,80,106],"it":[17],"accomplishes":[18],"task":[20,35],"from":[21,114],"the":[22,27,34,38,49,65,71,85,90,122,134],"initial":[23],"state":[24],"observed":[25],"in":[26,58],"given":[28],"image.":[29,91],"While":[30],"our":[31,59,118],"evaluates":[33],"achievability":[36],"by":[37,75],"Energy-Based":[39],"Model":[40],"(EBM),":[41],"previous":[42,115],"EBMs":[43],"are":[44,82],"not":[45],"designed":[46],"evaluating":[48],"consistency":[50],"between":[51],"different":[52],"domains":[53],"(i.e.,":[54],"image":[55,66,72],"and":[56,67],"method).":[60],"Our":[61],"seamlessly":[63],"integrates":[64],"data":[69],"into":[70],"feature":[73],"domain":[74],"spatially-aligned":[76],"temporal":[77],"encoding":[78],"features":[81],"extracted":[83],"along":[84],"trajectory":[87],"projected":[88],"onto":[89],"Furthermore,":[92],"this":[93],"also":[95],"data-driven":[98],"optimization":[100],"method,":[101],"Deep":[102],"Motion":[103],"Optimizer":[104],"(DMO),":[105],"works":[107],"with":[108,139,144],"EBM":[109],"prediction.":[112],"Different":[113],"gradient-based":[116],"optimizers,":[117],"self-supervised":[119],"DMO":[120],"alleviates":[121],"difficulty":[123],"of":[124,133,142],"hyper-parameter":[125],"tuning":[126],"to":[127],"avoid":[128],"local":[129],"minima.":[130],"effectiveness":[132],"proposed":[135],"demonstrated":[138],"variety":[141],"experiments":[143],"similar":[145],"SOTA":[146],"methods.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}