Publications

C-3PO: Towards Rotation Equivariant Feature Detection and Description
C-3PO: Towards Rotation Equivariant Feature Detection and Description

We propose C-3PO, a family of feature detection-and-description models based on steerable group convolutions.

Reproducibility Study of “Counterfactual Generative Networks”
Reproducibility Study of “Counterfactual Generative Networks”

We reproduce the paper “Counterfactual Generative Networks” by Axel Sauer and Andreas Geiger to identify which parts of the experimental results supporting their claims can be reproduced, and at what cost in terms of resources (e.g., computational cost, development effort, and communication with the authors).