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    <title>Computer Vision Group teaching:ss2023</title>
    <subtitle></subtitle>
    <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/"/>
    <id>https://cvg.cit.tum.de/</id>
    <updated>2026-04-21T19:18:31+00:00</updated>
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    <entry>
        <title>Seminar: Recent Advances in 3D Computer Vision</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/3dcv?rev=1675937561&amp;do=diff"/>
        <published>2023-02-09T10:12:41+00:00</published>
        <updated>2023-02-09T10:12:41+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/3dcv?rev=1675937561&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>----------

Seminar: Recent Advances in 3D Computer Vision

Block seminar for computer science, games engineering and RCI master students.

[https://luanfujun.github.io/InverseMeshSVBRDF/]
[https://www.matthewtancik.com/nerf]
[https://openaccess.thecvf.com/content_CVPR_2020/html/Eisenberger_Smooth_Shells_Multi-Scale_Shape_Registration_With_Functional_Maps_CVPR_2020_paper.html]

General

In this seminar, we will look at different topics within the field of 3D Computer Vision, such as</content>
        <summary>----------

Seminar: Recent Advances in 3D Computer Vision

Block seminar for computer science, games engineering and RCI master students.

[https://luanfujun.github.io/InverseMeshSVBRDF/]
[https://www.matthewtancik.com/nerf]
[https://openaccess.thecvf.com/content_CVPR_2020/html/Eisenberger_Smooth_Shells_Multi-Scale_Shape_Registration_With_Functional_Maps_CVPR_2020_paper.html]

General

In this seminar, we will look at different topics within the field of 3D Computer Vision, such as</summary>
    </entry>
    <entry>
        <title>Seminar: Beyond Deep Learning: Selected Topics on Novel Challenges (5 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/bdl?rev=1681911925&amp;do=diff"/>
        <published>2023-04-19T13:45:25+00:00</published>
        <updated>2023-04-19T13:45:25+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/bdl?rev=1681911925&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>----------

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

 Summer Semester 2023, TU München 

Organizers: 
Christian Tomani, Felix Wimbauer, Prof. Dr. Daniel Cremers

E-Mail:
&lt;bdl-ss23@vision.in.tum.de&gt;

News

The registration is managed via the TUM matching system website help. If you like this course, consider giving it a high priority in the matching system.</content>
        <summary>----------

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

 Summer Semester 2023, TU München 

Organizers: 
Christian Tomani, Felix Wimbauer, Prof. Dr. Daniel Cremers

E-Mail:
&lt;bdl-ss23@vision.in.tum.de&gt;

News

The registration is managed via the TUM matching system website help. If you like this course, consider giving it a high priority in the matching system.</summary>
    </entry>
    <entry>
        <title>Practical Course: Creation of Deep Learning Methods (10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/create_dl?rev=1707386257&amp;do=diff"/>
        <published>2024-02-08T09:57:37+00:00</published>
        <updated>2024-02-08T09:57:37+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/create_dl?rev=1707386257&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>----------

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

 Summer Semester 2023, TU Munich 


here.


Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to create-dl[at]vision.in.tum.de</content>
        <summary>----------

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

 Summer Semester 2023, TU Munich 


here.


Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to create-dl[at]vision.in.tum.de</summary>
    </entry>
    <entry>
        <title>Computer Vision II: Multiple View Geometry (IN2228)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/cv2?rev=1692882972&amp;do=diff"/>
        <published>2023-08-24T13:16:12+00:00</published>
        <updated>2023-08-24T13:16:12+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/cv2?rev=1692882972&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>Computer Vision II: Multiple View Geometry (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 the camera motion from multiple images. To this end, one determines correspondences between points in various images and respective constraints that allow to compute motion and 3D structure. A particular emphasis of the lecture is on mathematical descriptions of rigid body…</content>
        <summary>Computer Vision II: Multiple View Geometry (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 the camera motion from multiple images. To this end, one determines correspondences between points in various images and respective constraints that allow to compute motion and 3D structure. A particular emphasis of the lecture is on mathematical descriptions of rigid body…</summary>
    </entry>
    <entry>
        <title>Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/dlpractice?rev=1707386496&amp;do=diff"/>
        <published>2024-02-08T10:01:36+00:00</published>
        <updated>2024-02-08T10:01:36+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/dlpractice?rev=1707386496&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>----------

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

 Summer Semester 2023, TU Munich 



Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to dlpractice[at]vision.in.tum.de</content>
        <summary>----------

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

 Summer Semester 2023, TU Munich 



Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to dlpractice[at]vision.in.tum.de</summary>
    </entry>
    <entry>
        <title>Seminar Course: Advanced topics in Graph Learning (5 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/graphlearning_ss2023?rev=1677764031&amp;do=diff"/>
        <published>2023-03-02T13:33:51+00:00</published>
        <updated>2023-03-02T13:33:51+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/graphlearning_ss2023?rev=1677764031&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>Seminar Course: Advanced topics in Graph Learning (5 ECTS)

Summer Semester 2023, TU München

Organizers: 
 Christian Koke,  Abhishek Saroha

Correspondence

Please forward any queries related to the seminar to: &lt;graphlearning-ss23@vision.in.tum.de&gt;.


Course Registration

Assignment to the lab is done via the  matching system. In addition to applying to the matching system please remember to also send in your application via e-mail at the latest by 14 February 2023.</content>
        <summary>Seminar Course: Advanced topics in Graph Learning (5 ECTS)

Summer Semester 2023, TU München

Organizers: 
 Christian Koke,  Abhishek Saroha

Correspondence

Please forward any queries related to the seminar to: &lt;graphlearning-ss23@vision.in.tum.de&gt;.


Course Registration

Assignment to the lab is done via the  matching system. In addition to applying to the matching system please remember to also send in your application via e-mail at the latest by 14 February 2023.</summary>
    </entry>
    <entry>
        <title>Practical Course: Geometric Scene Understanding (10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/gsu?rev=1705663300&amp;do=diff"/>
        <published>2024-01-19T11:21:40+00:00</published>
        <updated>2024-01-19T11:21:40+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/gsu?rev=1705663300&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>----------

Practical Course: Geometric Scene Understanding (10 ECTS)

Overview

This practical course aims at advanced students with prior knowledge of deep learning (e.g. Introduction to Deep Learning, IN2346) and multi-view geometry (e.g. Computer Vision II, IN2228). The goal of this course is to gain practical experience with state-of-the-art computer vision models and implement innovative ideas tackling open real-world challenges.</content>
        <summary>----------

Practical Course: Geometric Scene Understanding (10 ECTS)

Overview

This practical course aims at advanced students with prior knowledge of deep learning (e.g. Introduction to Deep Learning, IN2346) and multi-view geometry (e.g. Computer Vision II, IN2228). The goal of this course is to gain practical experience with state-of-the-art computer vision models and implement innovative ideas tackling open real-world challenges.</summary>
    </entry>
    <entry>
        <title>Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/intellisys_ss2023?rev=1681786747&amp;do=diff"/>
        <published>2023-04-18T02:59:07+00:00</published>
        <updated>2023-04-18T02:59:07+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/intellisys_ss2023?rev=1681786747&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS)

Summer Semester 2023, TU München

Organizers: 
 Qadeer Khan,  Mariia Gladkova

Correspondence

Please forward any queries related to the lab to: &lt;intellisys-ws21.vision.in@tum.de&gt;.


Course Registration

Assignment to the lab is done via the</content>
        <summary>Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS)

Summer Semester 2023, TU München

Organizers: 
 Qadeer Khan,  Mariia Gladkova

Correspondence

Please forward any queries related to the lab to: &lt;intellisys-ws21.vision.in@tum.de&gt;.


Course Registration

Assignment to the lab is done via the</summary>
    </entry>
    <entry>
        <title>Practical Course: Shape Reconstruction and Matching in Computer Vision (10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/srmcv?rev=1682524305&amp;do=diff"/>
        <published>2023-04-26T15:51:45+00:00</published>
        <updated>2023-04-26T15:51:45+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/srmcv?rev=1682524305&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>----------

Practical Course: Shape Reconstruction and Matching in Computer Vision (10 ECTS)

 Summer Semester 2023, TU Munich 

Organization

	*   Organizers:  Mohammed Brahimi, Simon Weber, Maolin Gao
	*   Contact: &lt;srmcv-ss23@vision.in.tum.de&gt; (please address all requests to this address only!)

News

	*  26.04.2023:</content>
        <summary>----------

Practical Course: Shape Reconstruction and Matching in Computer Vision (10 ECTS)

 Summer Semester 2023, TU Munich 

Organization

	*   Organizers:  Mohammed Brahimi, Simon Weber, Maolin Gao
	*   Contact: &lt;srmcv-ss23@vision.in.tum.de&gt; (please address all requests to this address only!)

News

	*  26.04.2023:</summary>
    </entry>
    <entry>
        <title>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2023/visnav_ss2023?rev=1685973957&amp;do=diff"/>
        <published>2023-06-05T14:05:57+00:00</published>
        <updated>2023-06-05T14:05:57+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2023/visnav_ss2023?rev=1685973957&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2023" />
        <content>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

SS 2023, TU München

Lecturers:  Jason Chui,  Simon Klenk

Please direct questions to &lt;visnav-ss23@vision.in.tum.de&gt;

News

* you can join the online meeting here &lt;https://tum-conf.zoom.us/j/69574349309?pwd=SDRlMllsSXFjM3I1NzMrTjNVR1dTdz09&gt;

	*  2023-04-24: First lecture today, in 02.09.023, starting at 14:00 sharp.</content>
        <summary>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

SS 2023, TU München

Lecturers:  Jason Chui,  Simon Klenk

Please direct questions to &lt;visnav-ss23@vision.in.tum.de&gt;

News

* you can join the online meeting here &lt;https://tum-conf.zoom.us/j/69574349309?pwd=SDRlMllsSXFjM3I1NzMrTjNVR1dTdz09&gt;

	*  2023-04-24: First lecture today, in 02.09.023, starting at 14:00 sharp.</summary>
    </entry>
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