Andreas Doumanoglou — accepted AI-conference papers

2017

Pose Guided RGBD Feature Learning for 3D Object Pose Estimation

Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, Tae-Kyun Kim

ICCV 2017poster

In this paper we examine the effects of using object poses as guidance to learning robust features for 3D object pose estimation. Previous works have focused on learning feature embeddings based on metric learning with triplet comparisons and rely only on the qualitative distinction of similar and d…

Cited by 79 PDF ↗Scholar ↗

2016

Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd

Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis, Tae-Kyun Kim

CVPR 2016poster

Object detection and 6D pose estimation in the crowd (scenes with multiple object instances, severe foreground occlusions and background distractors), has become an important problem in many rapidly evolving technological areas such as robotics and augmented reality. Single shot-based 6D pose estima…

Cited by 275 PDF ↗Scholar ↗