PhD Seminar • Computer Vision — Overview of Generative Adversarial Learning in Vision
Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science
Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science
Sharon Choy, PhD candidate
David R. Cheriton School of Computer Science
Hatem Takruri, Master’s candidate
David R. Cheriton School of Computer Science
Bryce Sandlund, PhD candidate
David R. Cheriton School of Computer Science
Rahul Iyer, Master’s candidate
David R. Cheriton School of Computer Science
Rylo Ashmore, Master’s candidate
David R. Cheriton School of Computer Science
Navid Nasr Esfahani, PhD candidate
David R. Cheriton School of Computer Science
Linear All-or-nothing Transforms are unconditionally secure cryptographic tools with various applications, for example, in secure distributed storage and secure network coding.
Camilo Munoz, Master’s candidate
David R. Cheriton School of Computer Science
Benjamin Cassell, PhD candidate
David R. Cheriton School of Computer Science
Samin Riasat, Master’s candidate
David R. Cheriton School of Computer Science