Computer Vision Group teaching:ss2026

3D Computer Vision (IN2228)

2026-04-20T10:11:05+00:00

3D Computer Vision (IN2228) Overview The lecture introduces the basic concepts of image formation, perspective projection, and camera motion. The goal is to reconstruct the three-dimensional world and camera motion from multiple images. To this end, we study correspondences between points in different images and the geometric constraints that enable the recovery of motion and 3D structure. Particular emphasis is placed on the mathematical description of rigid body motion and perspective proj…

Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS)

2026-02-04T13:34:17+00:00

---------- Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) Summer Semester 2026, TU München Organisers: Cecilia Curreli, Riccardo Marin Please direct all questions to 4dvision-ss26@vision.in.tum.de. Description In this seminar, we will delve into the forefront of computer vision, focusing on the latest deep learning methods for the generation, reconstruction, and prediction of dynamic scenes. As the field progresses, understanding and interpreting dynamic environments h…

3rd Practical Course: Applied Foundation Models (10 ECTS)

2026-04-15T12:41:42+00:00

3rd Practical Course: Applied Foundation Models (10 ECTS) News The preliminary meeting will take place on Feb 4rd, 2026 from 14:00-15:00 in room 02.09.023 and under this Zoom link. The course itself will be conducted in person. ---------- Organizational

Seminar: Deep Learning for Dynamical Simulations (5 ECTS)

2026-04-13T10:34:58+00:00

---------- Seminar: Deep Learning for Dynamical Simulations (5 ECTS) Summer Semester 2026 Organizer: Karnik Ram (karnik.ram@tum.de) Preliminary meeting: 14:00-14:30 on 03.02.2026 Presentation slides. Update (03/2026): There are still open spots available, contact if you are interested!

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

2026-03-17T15:08:15+00:00

---------- Practical Course: Deep Learning for Spatial AI (10 ECTS) Overview This practical course is designed for students who want hands-on experience with cutting-edge research in Spatial AI and 3D computer vision. It enables participants to turn their knowledge of deep learning and computer vision into practical, research-oriented skills using state-of-the-art models. The course is an excellent stepping stone toward independent computer vision projects, including a master’s thesis.

Seminar: Fundamentals and Models of Neural Networks in Computer Vision (5 ECTS)

2026-04-14T14:55:26+00:00

---------- Seminar: Fundamentals and Models of Neural Networks in Computer Vision (5 ECTS) Summer Semester 2026, TU München Organiser: Roman Pflugfelder Description Modern computer vision is largely based on neural network and machine learning models originally developed within the machine learning community. In this seminar, students study state-of-the-art computer vision models in their historical and methodological context, focusing on selected visual tasks aligned with their academic…

Practical Course: Shape and Manifold Analysis (10 ECTS)

2026-04-16T10:13:32+00:00

Practical Course: Shape and Manifold Analysis (10 ECTS) Summer Semester 2026, TU München Organisers: Dr. Thomas Dagès, Dr. Riccardo Marin Contact : sma-ss26@vision.in.tum.de News * 16.04.2026 Introductory meeting slides and proposed projects: Slides * 05.02.2026 Preliminary meeting material:

Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

2026-04-16T19:36:06+00:00

Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2026, TU München Lecturers: Jason Chui, Mateo de Mayo, Jonathan Eichhorn Please direct questions to . News * The non-public materials page is up. Password sent to students. * The premeeting slides have been uploaded. * The premeeting will be held Monday 09.02.2026 11am on