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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

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

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.

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Seminar: Foundation Models for Computer Vision (5 ECTS)

Winter Semester 2024/25, TU München

Organisers: Dominik Schnaus, Tarun Yenamandra

Please direct questions to fmcv-ws24@vision.in.tum.de

Course Materials: Course Materials (password protected; please email us or look in the preliminary meeting slides for the password)

News

2024-06-24: [preliminary meeting] will take place from 14:00 - 15:00 on 27.06.2024 online via Zoom. The slides will be published on a protected page linked from here. Please attend the meeting to learn more about the course or ask questions. Attendance at the preliminary meeting is not mandatory. The zoom link can be found on TUMonline.

Course Description

Large-scale machine learning models, also called foundational models, have proven helpful in many applications. As they are learned from large amounts of data, they can be used as priors in many applications. Different machine learning paradigms, such as transformers and diffusion models, have been used to learn such foundational models. While the major focus has been on 2D foundational models, some methods have also been proposed to extend the 2D foundational models to 3D using differentiable rendering. This seminar will discuss some important foundational models in recent years and their applications.

Prerequisites

All participants should have a solid working knowledge of linear algebra and calculus. In addition, it is useful (but not required) for students to have a background in one of the following topics: computer vision, image processing, computer graphics, 3D geometry, and deep learning.

Rechte Seite

Informatik IX
Computer Vision Group

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

Follow us on:

YouTube X / Twitter Facebook

News

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

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.

More