1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
RYOPO: Bringing End-to-End Category-Level Object Pose Estimation into Real Time
Hakjin Lee, Junghoon Seo, Jaehoon Sim
Category-level object pose estimation predicts the rotation, translation, and metric size of unseen instances within known categories. Many accurate RGB-D methods rely on external…
cs.CV2025
You Only Pose Once: A Minimalist's Detection Transformer for Monocular RGB Category-level 9D Multi-Object Pose Estimation
Hakjin Lee, Junghoon Seo, Jaehoon Sim
Accurately recovering the full 9-DoF pose of unseen instances within specific categories from a single RGB image remains a core challenge for robotics and automation. Most existing…
cs.RO2022★ 1 cited
Reinforcement Learning for Vision-based Object Manipulation with Non-parametric Policy and Action Primitives
Dongwon Son, Myungsin Kim, Jaecheol Sim +1
The object manipulation is a crucial ability for a service robot, but it is hard to solve with reinforcement learning due to some reasons such as sample efficiency. In this paper,…