6 citations · 7 across the 8 of their papers we have counts for
8 papers
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Tillmann Rheude, Andreas Wirtz, Arjan Kuijper +1
Convolutional neural networks (CNNs) achieve prevailing results in segmentation tasks nowadays and represent the state-of-the-art for image-based analysis. However, the understandi…
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
Thomas Pöllabauer, Jiayin Li, Volker Knauthe +2
6D object pose estimation is the problem of identifying the position and orientation of an object relative to a chosen coordinate system, which is a core technology for modern XR a…
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
Thomas Pöllabauer, Julius Kühn, Jiayi Li +1
Estimating the 3D shape of an object using a single image is a difficult problem. Modern approaches achieve good results for general objects, based on real photographs, but worse r…
Bias and Diversity in Synthetic-based Face Recognition
Marco Huber, Anh Thi Luu, Fadi Boutros +2
Synthetic data is emerging as a substitute for authentic data to solve ethical and legal challenges in handling authentic face data. The current models can create real-looking face…
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper +1
The availability of large-scale authentic face databases has been crucial to the significant advances made in face recognition research over the past decade. However, legal and eth…
ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation
Fadi Boutros, Marcel Klemt, Meiling Fang +2
Deep generative models have recently presented impressive results in generating realistic face images of random synthetic identities. To generate multiple samples of a certain synt…