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

Technical University of Munich

Menu

Links

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



Practical Course: Deep Learning for Spatial AI (10 ECTS)

Overview

This practical course aims at advanced students with prior knowledge of deep learning (e.g. Introduction to Deep Learning, IN2346), multi-view geometry (e.g. Computer Vision II, IN2228) or semantic understanding (e.g. Computer Vision III, IN2375). The goal of this course is to gain practical experience with state-of-the-art computer vision models and experiment with new ideas to address open real-world challenges in Spatial AI.

Organisers
News
  • 28.01.2025: The capacity of the course is limited (max. 30 students). Please send us your CV and transcripts to dl4sai-ss25@vision.in.tum.de by February 20 (single compact PDF).
Dates
February 10, 11:00 Preliminary meeting ( Slides)
February 14-19 Register in the matching system
April 14, 11:00–12:00 Project topics (in-person, 02.09.023)
April 15-18 Project matching
May 19, 11:00–13:00 Midterm presentations (in-person, 02.09.023)
July 28, Final presentations (in-person, 02.09.023)
September 30 Project reports due
Course logistics

Course supervisors will initially offer peer-reviewed project ideas. The projects will focus on topics in Spatial AI, e.g. obtaining semantic and/or geometric knowledge from images or point clouds, such a camera/object pose estimation, video/panoptic segmentation. Each project will be assigned to a group of up to three students and supported by the project advisor. At the end of the course, the student groups will present their project results in class and submit a written report.

Prerequisites: IN2346, IN2228, IN2375 (or equivalent).

Contact

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