by Martina Megaro | Jul 12, 2019 | Rendering, Visual Computing
Neural Importance Sampling We propose to use deep neural networks for generating samples in Monte Carlo integration. July 12, 2019ACM Siggraph 2019 Authors Thomas Müller (Disney Research/ETH Joint PhD) Brian McWilliams (Disney Research) Fabrice Rousselle...
by Martina Megaro | Jun 16, 2019 | Machine Learning, Video Processing, Visual Computing
Neural Sequential Phrase Grounding (SeqGROUND) We propose an end-to-end approach for phrase grounding in images. June 16, 2019IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 Authors Pelin Dogan (Disney Research/ETH Joint PhD) Leonid...
by Martina Megaro | Oct 30, 2018 | AR/VR, Visual Computing
AR Costumes: Automatically Augmenting Watertight Costumes from a single RGB Image We present a practical solution to these artifacts which requires minimal costume parameterization work, and a straightforward inpainting approach. Ocotber 30, 2018International...
by Sarah Frigg | Aug 26, 2016 | Robotics
Imitating Human Movement with Teleoperated Robotic Head We develop a controller for realizing smooth and accurate motion of a robotic head with application to a teleoperation system for the Furhat robot head. August 26, 2016International Symposium on Robot and Human...
by Martina Megaro | Jul 20, 2016 | Visual Computing, Wireless Communication and Ubiquitous Computing
Automultiscopic displays based on orbital angular momentum of light We propose and demonstrate the viability of using OAM to create an automultiscopic 3D display. July 20, 2016Journal of Optics 2016 Authors Li Xuefeng (University of Cambridge) Jiaqi Chu...