Media Summary: 2020 Virtual AIChE Annual Meeting Data-Driven Process Optimization Under Neural Imitation learning has been widely used to learn control policies for autonomous driving based on pre-recorded data. However ... Authors: Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim Description: In this paper, we focus on weakly supervised ...
Mixture Density Network For Addressing - Detailed Analysis & Overview
2020 Virtual AIChE Annual Meeting Data-Driven Process Optimization Under Neural Imitation learning has been widely used to learn control policies for autonomous driving based on pre-recorded data. However ... Authors: Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim Description: In this paper, we focus on weakly supervised ... Despite stereo matching accuracy has greatly improved by deep learning in the last few years, recovering sharp boundaries and ... ORAL SESSION: COMP TEMS I - Computer / Technology Management Lecture 12: Mixture Density Networks Part2
ICRA 2018 Spotlight Video Interactive Session Thu PM Pod F.5 Authors: Choi, Sungjoon; Lee, Kyungjae; Lim, Sungbin; Oh, ...