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dc.identifier.urihttp://hdl.handle.net/11401/78481
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.typeThesis
dcterms.available2018-11-12T17:50:30Z
dcterms.contributorNguyen, Minh Hen_US
dcterms.creatorVaishnavi, Pratik
dcterms.dateAccepted2018-11-12T17:50:30Z
dcterms.dateSubmitted2018-11-12T17:50:30Z
dcterms.descriptionDepartment of Computer Science.en_US
dcterms.extent33 pg.en_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/78481
dcterms.issued2018-01-05
dcterms.issued2018
dcterms.provenanceMade available in DSpace on 2018-11-12T17:50:30Z (GMT). No. of bitstreams: 1 Vaishnavi_grad.sunysb_0771M_13730.pdf: 1594592 bytes, checksum: 0500abeeb7b2978531d681b7ec41fb23 (MD5) Previous issue date: 2018-01-05en
dcterms.subjectComputer science
dcterms.subject3D CNNs
dcterms.subjectDeep Learning
dcterms.subjectRNNs
dcterms.subjectTemporal Action Detection
dcterms.subjectTemporal Action Proposals
dcterms.subjectTHUMOS '14
dcterms.titleGenerating Temporal Action Proposals in Long Untrimmed Videos
dcterms.typeThesis


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