{"id":"https://openalex.org/W2965622615","doi":null,"title":"A high performance computing method for accelerating temporal action proposal generation","display_name":"A high performance computing method for accelerating temporal action proposal generation","publication_year":2019,"publication_date":"2019-06-15","ids":{"openalex":"https://openalex.org/W2965622615","mag":"2965622615"},"language":"en","primary_location":{"id":"mag:2965622615","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1906.06496v3","pdf_url":null,"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,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/1906.06496v3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036865546","display_name":"Shiye Lei","orcid":"https://orcid.org/0000-0001-7810-9346","observed_orcids":["https://orcid.org/0000-0001-7810-9346"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiye Lei","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7810-9346","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428385","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8427-4495","observed_orcids":["https://orcid.org/0000-0001-8427-4495","https://orcid.org/0000-0002-0204-9719","https://orcid.org/0000-0001-9186-627X","https://orcid.org/0000-0003-4819-621X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8427-4495","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049513793","display_name":"Youyou Jiang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youyou Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069626104","display_name":"Zihang Deng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zihang Deng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066400774","display_name":"Hichem Snoussi","orcid":"https://orcid.org/0000-0002-6563-2135","observed_orcids":["https://orcid.org/0000-0002-6563-2135"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hichem Snoussi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6563-2135","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101410165","display_name":"Chang Choi","orcid":"https://orcid.org/0000-0002-2276-2378","observed_orcids":["https://orcid.org/0000-0002-2276-2378"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Choi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2276-2378","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9961000084877014,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9961000084877014,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0005000000237487257,"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/temporal-action-proposal-generation","display_name":"temporal action proposal generation","score":0.9769999980926514},{"id":"https://openalex.org/keywords/mpi","display_name":"MPI","score":0.5849999785423279},{"id":"https://openalex.org/keywords/distributed-training","display_name":"distributed training","score":0.8119999766349792},{"id":"https://openalex.org/keywords/gpu-parallelization","display_name":"GPU parallelization","score":0.5699999928474426},{"id":"https://openalex.org/keywords/time-metric","display_name":"time metric","score":0.41100001335144043},{"id":"https://openalex.org/keywords/thumos14","display_name":"THUMOS14","score":0.996999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8485678434371948},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5975736975669861},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5455129146575928},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4977765381336212},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.47972479462623596},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4671924114227295},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4446672201156616},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4343321919441223},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4123108386993408},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.401703417301178},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3807830214500427},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3414364457130432},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33821696043014526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30044543743133545},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1723223328590393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1339568793773651},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1285087764263153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1155228316783905},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2965622615","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1906.06496v3","pdf_url":null,"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,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2965622615","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1906.06496v3","pdf_url":null,"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,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W2096544401","https://openalex.org/W2173213060","https://openalex.org/W2194775991","https://openalex.org/W2471143248","https://openalex.org/W2519328139","https://openalex.org/W2597958930","https://openalex.org/W2753418202","https://openalex.org/W2759341202","https://openalex.org/W2783430431","https://openalex.org/W2810688721","https://openalex.org/W2899116516","https://openalex.org/W2949117887","https://openalex.org/W2962677524","https://openalex.org/W2964214371","https://openalex.org/W2964216549"],"related_works":["https://openalex.org/W3017966379","https://openalex.org/W4400460799","https://openalex.org/W4293419839","https://openalex.org/W2804867909","https://openalex.org/W2962677524","https://openalex.org/W3105044711","https://openalex.org/W2965577339","https://openalex.org/W2967210590","https://openalex.org/W2998582438","https://openalex.org/W2983918066"],"abstract_inverted_index":{"Temporal":[0,59],"action":[1,7,33,93,158,174,199],"recognition":[2],"always":[3],"depends":[4],"on":[5,46,83,156,188],"temporal":[6,54,92,157,173,198,207],"proposal":[8,94,175],"generation":[9],"to":[10,17,104,106,144,218],"hypothesize":[11],"actions":[12],"and":[13,23,27,70,113,190,205],"algorithms":[14],"usually":[15],"need":[16],"process":[18],"very":[19],"long":[20],"video":[21,36],"sequences":[22],"output":[24],"the":[25,107,120,135,145,170,220,224],"starting":[26],"ending":[28],"times":[29],"of":[30,64,109,117,172,181,183],"each":[31,35],"potential":[32],"in":[34,102,134,223],"suffering":[37],"from":[38],"high":[39,77,203,206],"computation":[40],"cost.":[41],"To":[42],"address":[43],"this,":[44],"based":[45,82],"boundary":[47],"sensitive":[48],"network":[49,56],"we":[50],"propose":[51],"a":[52,98,114,128,211],"new":[53],"convolution":[55],"called":[57],"Multipath":[58,68],"ConvNet":[60],"(MTN),":[61],"which":[62,96,164],"consists":[63],"two":[65],"parts":[66],"i.e.":[67],"DenseNet":[69],"SE-ConvNet.":[71],"In":[72,209],"this":[73],"work,":[74],"one":[75],"novel":[76],"performance":[78,222],"ring":[79],"parallel":[80,151],"architecture":[81,152],"Message":[84],"Passing":[85],"Interface":[86],"(MPI)":[87],"is":[88,97,124,140,165,214],"further":[89,215],"introduced":[90],"into":[91],"generation,":[95,176],"reliable":[99],"communication":[100],"protocol,":[101],"order":[103],"respond":[105],"requirements":[108],"large":[110,115,179],"memory":[111],"occupation":[112],"number":[116],"videos.":[118,184],"Remarkably,":[119],"total":[121],"data":[122],"transmission":[123],"reduced":[125],"by":[126],"adding":[127],"connection":[129],"between":[130],"multiple":[131,162],"computing":[132],"load":[133],"newly":[136],"developed":[137],"architecture.":[138],"It":[139],"found":[141],"that,":[142],"compared":[143],"traditional":[146],"Parameter":[147],"Server":[148],"architecture,":[149],"our":[150,193],"has":[153],"higher":[154],"efficiency":[155],"detection":[159,200],"task":[160],"with":[161,169,202],"GPUs,":[163],"suitable":[166],"for":[167,178],"dealing":[168],"tasks":[171],"especially":[177],"datasets":[180],"millions":[182],"We":[185],"conduct":[186],"experiments":[187],"ActivityNet-1.3":[189],"THUMOS14,":[191],"where":[192],"method":[194],"outperforms":[195],"other":[196],"state-of-art":[197],"methods":[201],"recall":[204],"precision.":[208],"addition,":[210],"time":[212],"metric":[213],"proposed":[216],"here":[217],"evaluate":[219],"speed":[221],"distributed":[225],"training":[226],"process.":[227]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2019-08-13T00:00:00"}