8 citations · 16 across the 7 of their papers we have counts for
3 papers · 1 filter
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Håkon Hukkelås, Rudolf Mester, Frank Lindseth
We propose a novel architecture which is able to automatically anonymize faces in images while retaining the original data distribution. We ensure total anonymization of all faces…
Multimodal 3D Object Detection from Simulated Pretraining
Åsmund Brekke, Fredrik Vatsendvik, Frank Lindseth
The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models. In order for…
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments
Hege Haavaldsen, Max Aasboe, Frank Lindseth
In recent years, considerable progress has been made towards a vehicle's ability to operate autonomously. An end-to-end approach attempts to achieve autonomous driving using a sing…