Eddy Ilg

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

Dense motion estimation of particle images via a convolutional neural network

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks

Lucid Data Dreaming for Video Object Segmentation

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?