12 citations · 12 across the 4 of their papers we have counts for
8 papers
MakeupMirror: Improving Facial Attribute Preservation in Diffusion Models for Makeup Transfer
Nefeli Andreou, Angel Martínez-González, Sabine Sternig +3
Makeup transfer models enable fun augmented reality (AR) experiences as well as virtual try-on (VTO) for online makeup shopping. While recent state-of-the-art diffusion based solut…
FAST3D: Flow-Aware Self-Training for 3D Object Detectors
Christian Fruhwirth-Reisinger, Michael Opitz, Horst Possegger +1
In the field of autonomous driving, self-training is widely applied to mitigate distribution shifts in LiDAR-based 3D object detectors. This eliminates the need for expensive, high…
Robustness of Object Detectors in Degrading Weather Conditions
Muhammad Jehanzeb Mirza, Cornelius Buerkle, Julio Jarquin +4
State-of-the-art object detection systems for autonomous driving achieve promising results in clear weather conditions. However, such autonomous safety critical systems also need t…
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Georg Krispel, Michael Opitz, Georg Waltner +2
We introduce a simple yet effective fusion method of LiDAR and RGB data to segment LiDAR point clouds. Utilizing the dense native range representation of a LiDAR sensor and the set…
MURAUER: Mapping Unlabeled Real Data for Label AUstERity
Georg Poier, Michael Opitz, David Schinagl +1
Data labeling for learning 3D hand pose estimation models is a huge effort. Readily available, accurately labeled synthetic data has the potential to reduce the effort. However, to…
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Georg Waltner, Michael Maurer, Thomas Holzmann +5
Automated toll systems rely on proper classification of the passing vehicles. This is especially difficult when the images used for classification only cover parts of the vehicle.…