3 citations · 11 across the 13 of their papers we have counts for
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Uncertainty-Aware Remaining Lifespan Prediction from Images
Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
Predicting mortality-related outcomes from images offers the prospect of accessible, noninvasive, and scalable health screening. We present a method that leverages pretrained visio…
JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning
Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
Joint-Embedding Predictive Architectures (JEPA) have recently become popular as promising architectures for self-supervised learning. Vision transformers have been trained using JE…
Novel transfer learning schemes based on Siamese networks and synthetic data
Dominik Stallmann, Philip Kenneweg, Barbara Hammer
Transfer learning schemes based on deep networks which have been trained on huge image corpora offer state-of-the-art technologies in computer vision. Here, supervised and semi-sup…