Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links


Felix Wimbauer

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17752
Fax: +49-89-289-17757
Office: 02.09.058
Mail: felix.wimbauer@tum.de

Personal Website, Google Scholar, Twitter, LinkedIn, GitHub

Updates

January 2023: Pre-Print of new paper Behind the Scenes: Density Fields for Single View Reconstruction is online.

April 2022: Started Ph.D. in Computer Vision at the chair of Daniel Cremers.

March 2022: De-render3D was accepted at CVPR 2022.

September 2021: Finished M.Sc. Computer Science at University of Oxford

March 2021: MonoRec was accepted at CVPR 2021. Check out our video and open-source code

October 2020: Started M.Sc. Computer Science at University of Oxford

August 2020: Finished ADL4CV. Check out our video presentation here.

March 2020: Finished my B.Sc. Informatik at TUM

About

Always happy to discuss new research ideas.

My aim is to develop methods to understand the 3D world from images and videos. Specifically, I work on methods that can be trained with weak or even no supervision. Through this, I hope to enable more wide-spread applications of such methods, and to improve accuracy by training on large, unlabeled datasets.

At the moment, I focus on the subtasks of 3D reconstruction (both static and dynamic), 3D object discovery, as well as the combination of both. There are several techniques that are relevant in this context. By leveraging multi-view consistency, we can get supervision signals for 3D reconstruction. Through motion segmentation and clustering, especially in 3D rather than 2D, we can detect different objects. Self-supervised feature learning further allows to introduce semantic understanding to the model.

In the past, I have worked on depth prediction from multiple frames while considering moving objects (MonoRec, CVPR 2021) and weakly supervised de-rendering for in-the-wild objects (De-Rendering 3D Objects in the Wild, CVPR 2022). My most recent project deals with self-supervised single view reconstruction and volume rendering.

If you have any questions, feel free to reach out to me!

You can also setup a meeting me with using the widget below! When you book a timeslot, the tool with automatically set up a calendar event and invite you to it.

Student Projects

I am open to supervising ambitious and talented Master and Bachelor students for their thesis. If you want to work with me, please send me an email describing the area / project you would like to work on. Please also attach your CV and up-to-date transcript.

A good approach to finding an area is always to check out the papers I have worked on in the past and extending from there.

Publications


Export as PDF, XML, TEX or BIB

Conference and Workshop Papers
2022
[]De-rendering 3D Objects in the Wild (F Wimbauer, S Wu and C Rupprecht), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.  [bibtex] [arXiv:2201.02279]
2021
[]MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (F. Wimbauer, N. Yang, L. von Stumberg, N. Zeller and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. ([project page]) [bibtex] [arXiv:2011.11814]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023.

31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

17.07.2022

AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.

More