Seminar • Artificial Intelligence — Deep Learning on Graphs
Renjie Liao, Department of Computer Science
University of Toronto
Renjie Liao, Department of Computer Science
University of Toronto
James Jacobs, Co-founder and CEO
Ziva Dynamics
Barrett Ens, Department of Human Centred Computing
Monash University, Australia
Mathieu Nancel
Loki Research Group
Inria Lille, France
Ryan Goldade, PhD candidate
David R. Cheriton School of Computer Science
Ji Xin, PhD candidate
David R. Cheriton School of Computer Science
Dmitrii Pasechnik, Department of Computer Science
University of Oxford
Richard Peng, School of Computer Science
Georgia Institute of Technology
Jayson Lynch, PhD candidate
Massachusetts Institute of Technology
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.