no code implementations • 30 Jun 2022 • Marvin Teichmann, Andre Aichert, Hanibal Bohnenberger, Philipp Ströbel, Tobias Heimann
We propose a novel learning pipeline for WSI classification that is trainable end-to-end and does not require any auxiliary annotations.
no code implementations • 23 Sep 2019 • Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla
We obtain smaller mean distance and angular errors than state-of-the-art 6-DoF pose estimation algorithms based on direct pose regression and pose estimation from scene coordinates on all datasets.
3 code implementations • CVPR 2019 • Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim
Then, we demonstrate how a trained landmark detector, using our new dataset, can be leveraged to index image regions and improve retrieval accuracy while being much more efficient than existing regional methods.
no code implementations • 7 May 2018 • Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis Garcia-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat Müller-Stich, Sebastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel
The paper presents a comparative validation study of different vision-based methods for instrument segmentation and tracking in the context of robotic as well as conventional laparoscopic surgery.
16 code implementations • 22 Dec 2016 • Marvin Teichmann, Michael Weber, Marius Zoellner, Roberto Cipolla, Raquel Urtasun
While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as autonomous driving.
no code implementations • 2 Nov 2015 • Sebastian Bittel, Vitali Kaiser, Marvin Teichmann, Martin Thoma
Pixel-wise street segmentation of photographs taken from a drivers perspective is important for self-driving cars and can also support other object recognition tasks.