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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

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Courses

Summer Semester 2018

Winter Semester 2016/2017

Summer Semester 2016

Winter Semester 2015/2016

Summer Semester 2015

Winter Semester 2014/2015

Supervised Projects

Master's Thesis
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Tim Meinhardt, Submission: June 2017
Code & Documentation :
 https://github.com/tum-vision/learn_prox_ops 
RGB-D Scribble based Image Segmentation with CNNs
Andreas Wiedemann, Submission: November 2016
Dataset :
 https://github.com/tum-vision/rgbd_scribble_benchmark 
Deep Learning for Image based Localization
Florian Walch, Submission: September 2016
(co-supervised with Laura Leal-Taixe)
Documentation: Thesis
Extending a Linguistically Informed CNN for Sentiment Analysis by Distant Supervision
Frederik Mattwich, Submission: April 2016
(co-supervised with Sebastian Ebert)
RGB-D Image Classification with Active Deep Learning
Fabian Stark, Submission: July 2016
(co-supervised with Rudolph Triebel)
Documentation :
 https://goo.gl/LDlHBc 
Multi-digit Character Recognition of CAPTCHAs with Deep Neural Networks
Fabian Stark, Submission: June 2015
(co-supervised with Rudolph Triebel)
Code & Documentation :
 https://github.com/tum-vision/captcha_recognition 
Guided Research
Deep Neural Networks and Variational Methods for Multi-Class Segmentation
Adam Kosiorek, Submission: Oct 2015
(co-supervised with Julia Diebold)
Code & Documentation :
 https://github.com/akosiorek/segmentation 
Interdisciplinary Project (IDP)
TV-Segmentation Incorporating Depth Information
Nikolaus Demmel, Submission: Sep 2014
(co-supervised with Julia Diebold)
Code & Documentation :
 https://github.com/NikolausDemmel/tvseg.git 
Practical Course Project
Simple Cuda Accelerated Random Forest (ScaRF)
Alfonso Ros Dos Santos, Submission: Oct 2014, GPU Praktikum, SS14
(co-supervised with Matthias Vestner)
Code & Documentation :
 https://github.com/alfonsoros88/ScaRF.git 
Confidence Learning
Adam Kosiorek, Kareem Ahmed, Benjamin Helgert, Submission: July 2015, Machine Learning for Applications in Computer Vision, SS15
(co-supervised with Rudolph Triebel)
Code & Documentation :
 https://github.com/akosiorek/uncertainty.git 

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More