Computer Vision Group teaching:ws2020

Seminar: Beyond Deep Learning: Selected Topics on Novel Challenges (5 ECTS)

2020-10-14T11:34:55+00:00

---------- Seminar: Beyond Deep Learning: Selected Topics on Novel Challenges (5 ECTS) Winter Semester 2020, TU München Organizers: Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers E-Mail: News To indicate your preferences for seminar topics, please also send us an email to with the title “[Project_Matching] ”, and attach a filled topic preferences form (rename to "firstname_lastname.xlsx”"). D…

Practical Course: Correspondence and Matching Problems in Computer Vision (10 ECTS)

2020-09-11T08:57:56+00:00

---------- Practical Course: Correspondence and Matching Problems in Computer Vision (10 ECTS) Winter Semester 2020/2021, TU München Organisers: Prof. Dr. Florian Bernard, Maolin Gao, Tarun Yenamandra Please direct questions to News 2020-09-11: [gitlab account] collect your gitlab using the table at the bottom of the page.

Practical Course: Creation of Deep Learning Methods (10 ECTS)

2021-04-15T10:43:00+00:00

---------- Practical Course: Creation of Deep Learning Methods (10 ECTS) Winter Semester 2020/2021, TU München here. Please send applications (including learning goals, programming skills description, code, grade transcripts - see preliminary meeting slides) to create-dl[at]vision.in.tum.de

Seminar: Data Assimilation

2020-12-15T10:58:10+00:00

---------- Seminar: Data Assimilation Seminar for computer science master students (IN2107). Description Data assimilation is the process of fitting dynamical systems (physical models) to observational data. As such, these algorithms are a key component in numerical weather prediction systems, which are used, for example, at the ECMWF. We will understand the problem statement and evaluate several solution strategies. To implement these algorithms, we will work with the paradigm of differenti…

Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS)

2021-04-15T10:42:50+00:00

---------- Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) Winter Semester 2020/2021, TU München here. Please send applications (including learning goals, programming skills description, code, grade transcripts - see preliminary meeting slides) to dlpractice[at]vision.in.tum.de

Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS)

2020-07-21T10:01:20+00:00

Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS) Winter Semester 20/21, TU München Organizers: Qadeer Khan, Prof. Dr. Daniel Cremers Correspondence Please forward any queries related to the lab to: Course Registration Assignment to the lab is done via the

Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)

2021-01-18T16:15:00+00:00

Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) WS 2020 / 2021, TU München Announcements This semester, the lecture will be given partly online. This means that several topics will be made available from an earlier recording of the lecture. A detailed lecture plan will be given on this page.

Lecture: Numerical Algorithms in Computer Vision and Machine Learning (IN2384)

2020-10-15T10:23:22+00:00

---------- Lecture: Numerical Algorithms in Computer Vision and Machine Learning (IN2384) SS 2020, TU München Lectures will start in November and will be held synchronously in Zoom. The lecture is offered in English. More details and announcements can be found in

Lecture: Robotic 3D Vision (3h +1h, 5ECTS)

2021-03-26T16:46:53+00:00

---------- Lecture: Robotic 3D Vision (3h +1h, 5ECTS) WS 2020/21, TU München News 26.03.2021 There will be a test run for the retake graded online exercise in TUMexam starting tonight. The test run will be open until Monday (29.03.2021) 10pm.

Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction

2020-09-16T06:49:00+00:00

---------- Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction Seminar for computer science and games engineering master students (IN2107). General Visual simultaneous localization and mapping (SLAM) or Structure from Motion (SfM) is a classical problem in computer vision. It has wide applications in autonomous navigation, virtual/augmented reality, 3D scanning, etc. In this seminar, we will start by reviewing the classical approaches in the literature and then procee…

Seminar: Recent Advances in 3D Computer Vision

2020-09-22T05:39:11+00:00

---------- Seminar: Recent Advances in 3D Computer Vision Block seminar for computer science master students (IN2107). [SLAMpp][octoMap] General In this seminar, we will look at different topics within the field of 3D Computer Vision, such as * RGB-D scanning and refinement

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

2021-02-06T11:20:19+00:00

Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) WS 2020, TU München Lecturers: Nikolaus Demmel, David Schubert Please direct questions to News * 2020-12-07: We'll present project topic suggestions in today's tutor session. (Update: project slides are now linked below)