October 6, 2020 - Understanding the World from Images
Abstract: Through research in Computer Vision and Deep Learning over the last few decades we have developed algorithms for successfully detecting objects and inferring their structure from images. Many such algorithms use multiple views of the same scene to infer a three-dimensional model of the world from two-dimensional images. I will review some of these capabilities in the large, reconstructing large-scale scenes to support applications such as virtual reality and autonomous vehicles, and in the small, to estimate the structure of biological molecules such as viruses and proteins, at atomic resolutions.
Talks run from: 5 pm to 6 pm EST online - Live-stream details to follow. Please email the Office of the Vice-Principal Academic & Dean or call +1 (416) 287-7027 for more information.