Dan C. Ciresan — accepted AI-conference papers

2016

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

Alessandro Giusti, Jerome Guzzi, Dan C. Ciresan, Fang-Lin He, Juan P. Rodriguez, Flavio Fontana +6

RA-L 2016

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a

Cited by 684 Source ↗Scholar ↗

2015

Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation

Toufiq Parag, Dan C. Ciresan, Alessandro Giusti

ICCV 2015poster

The prospect of neural reconstruction from Electron Microscopy (EM) images has been elucidated by the automatic segmentation algorithms. Although segmentation algorithms eliminate the necessity of tracing the neurons by hand, significant manual effort is still essential for correcting the mistakes t…

Cited by 18 PDF ↗Scholar ↗