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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

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

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News

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

More


Master Seminar - Beyond Deep Learning (5 ECTS)

Winter Semester 2024/25, TU Munich

Organizers Felix Wimbauer, Prof. Dr. Daniel Cremers

E-Mail: felix.wimbauer@tum.de (Use subject [BDL])

Preliminary meeting date: July 11th 2024, 10am

Preliminary meeting link: https://tum-conf.zoom-x.de/j/66862139226?pwd=3sOrmiSIlZBdMGQHpHn7N7DkTtLnBA.1

Course page from previous years for reference: BDL SS23

News
  • The slides from the preliminary meeting are now available. For your application, please fill out this form and follow the instructions from the slides.
Course Description

Deep learning models nowadays provide state of the art results and set a new standard for many applications, such as speech recognition, computer vision. As standard supervised deep learning has become more and more established, there has been great interest in more specialised topics.

This course will be focusing on advanced deep learning techniques. The topics will include:

  • Diffusion Models / Normalizing Flows
  • DINO - Student-teacher models for self-supervised representation learning
  • CLIP - Representation Learning for Text and Images
  • Multimodal Language Models
  • Segment Anything and Follow-Ups
  • Bayesian Deep Learning Models
  • Datasets and Dataset Curation
  • many more

We will be discussing state-of-the-art research and open issues in the scientific community. We are also open to students proposing their own topics before the start of the seminar.

Prerequisites

Participants should already have a good understanding of basic machine learning and deep learning concepts and models. Especially, they are required to have taken at least one machine learning related course such as:

  • Introduction to Deep Learning
  • Machine Learning
  • Advanced Deep Learning for Computer Vision / Robotics
  • Generative Models
  • etc.

Participants should be able to take initiatives to plan and maintain a continuous workflow and communicate with tutors efficiently.

As many projects consider theoretical aspects of learning theory, a solid basis as well as interest for mathematics is highly recommended.

Prior experiences with machine learning projects are also a plus.

Note: it is crucial for interested applicants to also send us an e-mail (felix.wimbauer@tum.de) demonstrating their interest and fulfillment of prerequisites. The details will be explained during the pre-course meeting and available on the course website.

Places will be assigned through the TUM matching system (http://matching.in.tum.de).

Course Structure

This course is directed towards master students and will be held as a block seminar.

Course Schedule
  • Kick-off meeting: October 16th 2024 (tentative)
  • Preliminary meeting: July 11th 2024, 10am-11am, online
Literature
  • Deep Learning, Goodfellow, Bengio, Courville, 2016, http://www.deeplearningbook.org/
  • Machine learning: a probabilistic perspective, Murphy, 2012
  • The Elements of Statistical Learning, Hastie, Tibshirani, Friedman 2001
  • Relevant papers will be announced during the course.

Rechte Seite

Informatik IX
Computer Vision Group

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

Follow us on:

YouTube X / Twitter Facebook

News

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

More