Synthetic data is a scalable alternative to manual supervision, but it
r...
3D object detection from monocular images is an ill-posed problem due to...
Deep neural networks (DNNs) have shown remarkable performance improvemen...
We present an automatic annotation pipeline to recover 9D cuboids and 3D...
We present a novel method to track 3D models in color and depth data. To...
In this paper, we address the problem of 3D object instance recognition ...
We present a novel approach to tackle domain adaptation between syntheti...
We present a deep learning method for end-to-end monocular 3D object
det...
We present a novel approach for model-based 6D pose refinement in color ...
We propose a benchmark for 6D pose estimation of a rigid object from a s...
We present a novel method for detecting 3D model instances and estimatin...
Volume-based reconstruction is usually expensive both in terms of memory...