1 code implementation • ECCV 2020 • Maximilian Denninger, Rudolph Triebel
To overcome the problem of reconstructing regions in 3D that are occluded in the 2D image, we propose to learn this information from synthetically generated high-resolution data.
1 code implementation • 29 Sep 2022 • Markus Knauer, Maximilian Denninger, Rudolph Triebel
Our approach is called RECALL, as the network recalls categories by calculating logits for old categories before training new ones.
Ranked #1 on Classification on HOWS long
1 code implementation • 9 Nov 2020 • Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel
Our approach outperforms the 5-point algorithm using SIFT features on equally big images and additionally surpasses all previous learning-based approaches that were trained on different data.
4 code implementations • 25 Oct 2019 • Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam
BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks.