{"id":"https://openalex.org/W3016128788","doi":"https://doi.org/10.1109/icassp40776.2020.9053621","title":"Unsupervised Auto-Encoding Multiple-Object Tracker for Constraint-Consistent Combinatorial Problem","display_name":"Unsupervised Auto-Encoding Multiple-Object Tracker for Constraint-Consistent Combinatorial Problem","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016128788","doi":"https://doi.org/10.1109/icassp40776.2020.9053621","mag":"3016128788"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5077497451","display_name":"Yuta Kawachi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuta Kawachi","raw_affiliation_strings":["DENSO IT Laboratory, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"DENSO IT Laboratory, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023177033","display_name":"Teppei Suzuki","orcid":"https://orcid.org/0000-0001-7054-5493"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teppei Suzuki","raw_affiliation_strings":["DENSO IT Laboratory, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"DENSO IT Laboratory, Inc., Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077497451"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05240365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"6054","last_page":"6058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7008064389228821},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6793463230133057},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6508128046989441},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47064799070358276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45885518193244934},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36397865414619446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.320456326007843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18158000707626343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008064389228821},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6793463230133057},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6508128046989441},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47064799070358276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45885518193244934},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36397865414619446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.320456326007843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18158000707626343},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1528056001","https://openalex.org/W1531532259","https://openalex.org/W1800356822","https://openalex.org/W1959608418","https://openalex.org/W1975112358","https://openalex.org/W1990283121","https://openalex.org/W2003447360","https://openalex.org/W2136969810","https://openalex.org/W2140242774","https://openalex.org/W2158256890","https://openalex.org/W2176035349","https://openalex.org/W2238582461","https://openalex.org/W2606014079","https://openalex.org/W2787434568","https://openalex.org/W2799132636","https://openalex.org/W2807812398","https://openalex.org/W2891649842","https://openalex.org/W2950507236","https://openalex.org/W2963063317","https://openalex.org/W2964121744","https://openalex.org/W2964232608","https://openalex.org/W2964316651","https://openalex.org/W4245655784","https://openalex.org/W6631190155","https://openalex.org/W6638114406","https://openalex.org/W6640963894","https://openalex.org/W6680365867","https://openalex.org/W6682759379","https://openalex.org/W6685152286","https://openalex.org/W6747885307","https://openalex.org/W6763987926"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W4235381733"],"abstract_inverted_index":{"Multiple-object":[0],"tracking":[1],"(MOT)":[2],"and":[3,34,62],"classification":[4],"are":[5],"core":[6],"technologies":[7],"for":[8,57],"processing":[9],"moving":[10],"point":[11],"clouds":[12],"in":[13],"radar":[14,42],"or":[15],"lidar":[16],"applications.":[17],"For":[18],"accurate":[19,58],"object":[20],"classification,":[21],"the":[22,27,35,65],"one-to-one":[23,67],"association":[24,60,70,88],"relationship":[25],"between":[26],"model":[28,56,83],"of":[29],"each":[30],"objects\u2019":[31],"motion":[32],"(trackers)":[33],"observation":[36],"sequences":[37],"including":[38],"auxiliary":[39],"features":[40],"(e.g.,":[41],"cross":[43],"section)":[44],"is":[45],"important.":[46],"In":[47],"this":[48],"work,":[49],"we":[50,63],"propose":[51],"an":[52],"unsupervised":[53],"neural":[54,81],"MOT":[55,82],"semi-automatic":[59],"labeling":[61],"tackle":[64],"challenging":[66],"constrained":[68],"combinatorial":[69],"problem":[71],"by":[72],"applying":[73],"relaxation":[74],"techniques.":[75],"Experimental":[76],"results":[77],"demonstrate":[78],"that":[79],"our":[80],"generates":[84],"a":[85],"more":[86],"constraint-consistent":[87],"solution":[89],"than":[90],"conventional":[91],"row-wise":[92],"softmax":[93],"methods.":[94]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}