Browsing Fakultet for teknologi, kunst og design (TKD) by Subject "Generative adversarial networks"
Now showing items 1-3 of 3
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Can GANs replicate eye-gaze trajectories?
(ACIT;2022, Master thesis, 2022)Generative Adversarial Networks (GANs) have gained popularity in the field of computer vision. Recently, GANs have shown promising results in generating sequential data, such as time series data and text. This thesis ... -
GANEx: A complete pipeline of training, inference and benchmarking GAN experiments
(International Workshop on Content-Based Multimedia Indexing, CBMI;, Conference object, 2019-10-21)Deep learning (DL) is one of the standard methods in the field of multimedia research to perform data classification, detection, segmentation and generation. Within DL, generative adversarial networks (GANs) represents a ... -
Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children
(Big Data and Cognitive Computing;Volume 6 / Issue 2, Peer reviewed; Journal article, 2022-06-01)When responding to allegations of child sexual, physical, and psychological abuse, Child Protection Service (CPS) workers and police personnel need to elicit detailed and accurate accounts of the abuse to assist in ...