Showing 2024Show all
3 papers · 1 filter
cs.CV2024
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Mariam Hassan, Sebastian Stapf, Ahmad Rahimi +17
We present GEM, a Generalizable Ego-vision Multimodal world model that predicts future frames using a reference frame, sparse features, human poses, and ego-trajectories. Hence, ou…
cs.CV2024
Source-Free Domain-Invariant Performance Prediction
Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon +2
Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most exist…
cs.LG2024
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
Megh Shukla, Mathieu Salzmann, Alexandre Alahi
Deep heteroscedastic regression involves jointly optimizing the mean and covariance of the predicted distribution using the negative log-likelihood. However, recent works show that…