Simon Suo
Simon is a research scientist at Uber ATG Toronto and a graduate student at Univeristy of Toronto, supervised by Prof. Raquel Urtasun. His research interest mainly lies in machine learning and robotics. At ATG, he aims to use understanding of interactive scenarios to improve planning and simulation. Before joining University of Toronto, Simon studied Computer Science at Universtiy of Waterloo.
Research Papers
Deep Parametric Continuous Convolutional Neural Networks
S. Wang, S. Suo, W. Ma, A. Pokrovsky, R. Urtasun
We propose an approach for semi-automatic annotation of object instances. While most current methods treat object segmentation as a pixel-labeling problem, we here cast it as a polygon prediction task, mimicking how most current datasets have been annotated. [...] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
We propose an approach for semi-automatic annotation of object instances. While most current methods treat object segmentation as a pixel-labeling problem, we here cast it as a polygon prediction task, mimicking how most current datasets have been annotated. [...] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
