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Hemant Surale, PhD candidate
David R. Cheriton School of Computer Science

In this seminar, we will present an empirical comparison of eleven barehand, mid-air mode-switching techniques suitable for virtual reality in two experiments. 

Wednesday, February 26, 2020 1:30 pm - 1:30 pm EST (GMT -05:00)

Seminar • Waterloo AI Institute — Noise Flow: Noise with Conditional Normalizing Flows

Marcus Brubaker
Department of Electrical Engineering and Computer Science, York University
Research Director, Borealis AI

Modelling and synthesizing image noise is an important aspect in many computer vision applications. The long-standing additive white Gaussian and heteroscedastic (signal-dependent) noise models widely used in the literature provide only a coarse approximation of real sensor noise.