CGLab (since 2016.09) focuses on conducting research on photorealistic rendering, which includes a variety of optimization techniques for ray tracing. The main applications of photorealistic rendering are CG movies, animations, 3D games and immersive technology (AR and VR).
- Aug. 31 – Sep. 4, 2020
- Csaba Szepesvari (University of Alberta, Google DeepMind; chair), Emma Brunskill (Stanford University), Sébastien Bubeck (MSR), Alan Malek (DeepMind), Sean Meyn (University of Florida), Ambuj Tewari (University of Michigan), Mengdi Wang (Princeton)
It is a live weekly hour-long webseries showcasing geometry processing research. Topics range from computer science, mathematics, and engineering including 3D deep learning, computational fabrication, and computer graphics. The unique format of the Toronto Geometry Colloquium pairs a 10-min opener speaking about a recent work with a 50-min headliner giving a keynote-style address
Let’s imagine a hypothetical situation. There’s an infection going round, and we want to predict the future severity of someone’s illness. There is a test that offers a good prediction. Let’s say the outcome of the test has a correlation of 0.78 with the patient's severity of infection. The problem with the test is that…
Q. Qu, Z. Zhu, X. Li, M. Tsakiris, J. Wright, and R. Vidal. (2020)cite arxiv:2001.06970Comment: QQ and ZZ contributed equally to the work. Invited review paper for IEEE Signal Processing Magazine Special Issue on non-convex optimization for signal processing and machine learning. This article contains 26 pages with 11 figures.
H. Tajima, and F. Fujisawa. (2020)cite arxiv:2007.00926Comment: 6 pages, 5 figures, accepted by Scientific and Educational Reports of the Faculty of Science and Technology, Kochi University.
H. Chawla, M. Jukola, T. Brouns, E. Arani, and B. Zonooz. (2020)cite arxiv:2007.12918Comment: Accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).