43 citations · 75 across the 7 of their papers we have counts for
7 papers
Resolution Correspondence Networks
Georgi Tinchev, Shuda Li, Kai Han +2
In this paper, we aim at establishing accurate dense correspondences between a pair of images with overlapping field of view under challenging illumination variation, viewpoint cha…
A Summary of the 4th International Workshop on Recovering 6D Object Pose
Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim +12
This document summarizes the 4th International Workshop on Recovering 6D Object Pose which was organized in conjunction with ECCV 2018 in Munich. The workshop featured four invited…
A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth
Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim
State-of-the-art techniques for 6D object pose recovery depend on occlusion-free point clouds to accurately register objects in 3D space. To deal with this shortcoming, we introduc…
Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation
Andreas Doumanoglou, Vassileios Balntas, Rigas Kouskouridas +1
In this paper we tackle the problem of estimating the 3D pose of object instances, using convolutional neural networks. State of the art methods usually solve the challenging probl…
Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images
Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim
State-of-the-art techniques proposed for 6D object pose recovery depend on occlusion-free point clouds to accurately register objects in 3D space. To reduce this dependency, we int…
Latent-Class Hough Forests for 6 DoF Object Pose Estimation
Rigas Kouskouridas, Alykhan Tejani, Andreas Doumanoglou +2
In this paper we present Latent-Class Hough Forests, a method for object detection and 6 DoF pose estimation in heavily cluttered and occluded scenarios. We adapt a state of the ar…
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis +1
Object detection and 6D pose estimation in the crowd (scenes with multiple object instances, severe foreground occlusions and background distractors), has become an important probl…