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cs.CV2020
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr +3
Deep neural networks can generate images that are astonishingly realistic, so much so that it is often hard for humans to distinguish them from actual photos. These achievements ha…
cs.CV2019
Audiovisual Speaker Tracking using Nonlinear Dynamical Systems with Dynamic Stream Weights
Christopher Schymura, Dorothea Kolossa
Data fusion plays an important role in many technical applications that require efficient processing of multimodal sensory observations. A prominent example is audiovisual signal p…