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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich




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 :
RGB-D Scribble based Image Segmentation with CNNs
Andreas Wiedemann, Submission: November 2016
Dataset :
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 :
Multi-digit Character Recognition of CAPTCHAs with Deep Neural Networks
Fabian Stark, Submission: June 2015
(co-supervised with Rudolph Triebel)
Code & Documentation :
Guided Research
Deep Neural Networks and Variational Methods for Multi-Class Segmentation
Adam Kosiorek, Submission: Oct 2015
(co-supervised with Julia Diebold)
Code & Documentation :
Interdisciplinary Project (IDP)
TV-Segmentation Incorporating Depth Information
Nikolaus Demmel, Submission: Sep 2014
(co-supervised with Julia Diebold)
Code & Documentation :
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 :
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 :

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.


Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream


4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.


Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream