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
TL;DR: Have you even wondered what is so special about convolution? In this post, I derive the convolution from first principles and show that it naturally emerges from translational symmetry. During…
H. Chawla, M. Jukola, T. Brouns, E. Arani, и B. Zonooz. (2020)cite arxiv:2007.12918Comment: Accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
M. Cook, A. Zare, и P. Gader. (2020)cite arxiv:2007.01263Comment: 6 pages, 4 figures, Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning.
R. Hanocka, G. Metzer, R. Giryes, и D. Cohen-Or. (2020)cite arxiv:2005.11084Comment: SIGGRAPH 2020; Project page: https://ranahanocka.github.io/point2mesh/.
M. Lindvall, и J. Molin. (2020)cite arxiv:2001.07455Comment: Accepted for presentation in poster format for the ACM CHI'19 Workshop <Emerging Perspectives in Human-Centered Machine Learning>.
Q. Qu, Z. Zhu, X. Li, M. Tsakiris, J. Wright, и 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.