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Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video Based Person Re-Identification Wajeeha Ansar.

By: Ansar, wajeehaContributor(s): Dr. Arsalan Ahmad Material type: Text

TextPublisher: Islamabad: SEECS - NUST, 2018Description: 52 p. : ill. ; 30cm. +CDSubject(s): Computer Science MS-ThesisDDC classification: 005 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	005 (Browse shelf)	Available		CL-T-4456

Total holds: 0

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Previous	005 Thesis ::MSAview A Tool to Highlight Distant Interactions among Amino Acid Residues using Sequence Alignment	005 Adaptive Image Inversion of Contrast 3D Echocardiography /	005 Reasoning about Requirements at Run-time Using AI Planning Techniques /	005 Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video Based Person Re-Identification	005 Modeling and Simulation of Spking Neural Network Models using SpiNNaker /	005 Modeling And Performance Estimation of Formation Flight [MS Thesis] /	005 Flight Performance and Longitudinal Stability of Biplane Micro Air Vehicles under Gap Variation /	Next

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