Helmholtz Center for Information Security
CISPA – Helmholtz-Zentrum für InformationssicherheitNot a member yet
3406 research outputs found
Sort by
Local Analysis for Global Inputs
Get PDFFuzz testing and symbolic test generation both face their own challenges. While symbolic testing has scalability issues, fuzzing cannot uncover faults which require carefully engineered inputs. In this paper I propose a combination of both approaches, compensating weaknesses of each approach with the strength of the other approach.
I present my plans for evaluation, which include applications of the hybrid tool to programs which neither of the approaches can handle on its own
SmartSleeve: Real-time Sensing of Surface and Deformation Gestures on Flexible, Interactive Textiles, using a Hybrid Gesture Detection Pipeline
No full text
CityPersons: A Diverse Dataset for Pedestrian Detection
No full textConvnets have enabled significant progress in pedestrian detection recently, but there are still open questions regarding suitable architectures and training data. We revisit CNN design and point out key adaptations, enabling plain FasterRCNN to obtain state-of-the-art results on the Caltech dataset. To achieve further improvement from more and better data, we introduce CityPersons, a new set of person annotations on top of the Cityscapes dataset. The diversity of CityPersons allows us for the first time to train one single CNN model that generalizes well over multiple benchmarks. Moreover, with additional training with CityPersons, we obtain top results using FasterRCNN on Caltech, improving especially for more difficult cases (heavy occlusion and small scale) and providing higher localization quality