10 citations · 28 across the 9 of their papers we have counts for
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3 papers · 1 filter
cs.CV2017★ 1 cited
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
Mahdi Rad, Markus Oberweger, Vincent Lepetit
We propose a simple and efficient method for exploiting synthetic images when training a Deep Network to predict a 3D pose from an image. The ability of using synthetic images for…
cs.CV2017
ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation
Mahdi Rad, Peter M. Roth, Vincent Lepetit
To be robust to illumination changes when detecting objects in images, the current trend is to train a Deep Network with training images captured under many different lighting cond…
cs.CV2017★ 1 cited
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
Mahdi Rad, Vincent Lepetit
We introduce a novel method for 3D object detection and pose estimation from color images only. We first use segmentation to detect the objects of interest in 2D even in presence o…