3 citations · 9 across the 14 of their papers we have counts for
29 papers
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences
Jun-Jee Chao, Selim Engin, Nicolai Häni +1
Correspondence search is an essential step in rigid point cloud registration algorithms. Most methods maintain a single correspondence at each step and gradually remove wrong corre…
Self-supervised Wide Baseline Visual Servoing via 3D Equivariance
Jinwook Huh, Jungseok Hong, Suveer Garg +2
One of the challenging input settings for visual servoing is when the initial and goal camera views are far apart. Such settings are difficult because the wide baseline can cause d…
ROW-SLAM: Under-Canopy Cornfield Semantic SLAM
Jiacheng Yuan, Jungseok Hong, Junaed Sattar +1
We study a semantic SLAM problem faced by a robot tasked with autonomous weeding under the corn canopy. The goal is to detect corn stalks and localize them in a global coordinate f…
Learning Continuous Cost-to-Go Functions for Non-holonomic Systems
Jinwook Huh, Daniel D. Lee, Volkan Isler
This paper presents a supervised learning method to generate continuous cost-to-go functions of non-holonomic systems directly from the workspace description. Supervision from info…
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation
Wenbo Dong, Volkan Isler
Convolutional neural network (CNN) based architectures, such as Mask R-CNN, constitute the state of the art in object detection and segmentation. Recently, these methods have been…
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning
Jinwook Huh, Volkan Isler, Daniel D. Lee
This paper presents c2g-HOF networks which learn to generate cost-to-go functions for manipulator motion planning. The c2g-HOF architecture consists of a cost-to-go function over t…