Syler Wagner — accepted AI-conference papers

2018

Real-Time Object Pose Estimation with Pose Interpreter Networks

Jimmy Wu, Bolei Zhou, Rebecca Russell, Vincent Kee, Syler Wagner, Mitchell Hebert +2

IROS 2018poster

In this work, we introduce pose interpreter networks for 6-DoF object pose estimation. In contrast to other CNN-based approaches to pose estimation that require expensively annotated object pose data, our pose interpreter network is trained entirely on synthetic pose data. We use object masks as an…

Cited by 59 Source ↗code ↗Scholar ↗

2017

SegICP: Integrated deep semantic segmentation and pose estimation

Jay M. Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian-Luca Mariottini, Abraham Schneider +7

IROS 2017poster

Recent robotic manipulation competitions have highlighted that sophisticated robots still struggle to achieve fast and reliable perception of task-relevant objects in complex, realistic scenarios. To improve these systems' perceptive speed and robustness, we present SegICP, a novel integrated soluti…

Cited by 189 Source ↗Scholar ↗