129 citations · 158 across the 2 of their papers we have counts for
3 papers
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection
Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel +2
Deep learning methods typically require vast amounts of training data to reach their full potential. While some publicly available datasets exists, domain specific data always need…
On Pre-Trained Image Features and Synthetic Images for Deep Learning
Stefan Hinterstoisser, Vincent Lepetit, Paul Wohlhart +1
Deep Learning methods usually require huge amounts of training data to perform at their full potential, and often require expensive manual labeling. Using synthetic images is there…
Going Further with Point Pair Features
Stefan Hinterstoisser, Vincent Lepetit, Naresh Rajkumar +1
Point Pair Features is a widely used method to detect 3D objects in point clouds, however they are prone to fail in presence of sensor noise and background clutter. We introduce no…