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    <title>Computer Vision Group teaching:ss2021</title>
    <subtitle></subtitle>
    <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/"/>
    <id>https://cvg.cit.tum.de/</id>
    <updated>2026-04-21T19:53:14+00:00</updated>
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    <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/ss2021/bdlstnc_ss2021?rev=1626953441&amp;do=diff"/>
        <published>2021-07-22T11:30:41+00:00</published>
        <updated>2021-07-22T11:30:41+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/bdlstnc_ss2021?rev=1626953441&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

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

 Summer Semester 2021, TU München 

Organizers: 
Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers

E-Mail:
&lt;bdlstnc-ss21@vision.in.tum.de&gt;

News

In order for participants to get matched to a topic, please send us an email to &lt;bdlstnc-ss21@vision.in.tum.de&gt; with the title “[Topic_Matching] &lt;Firstname&gt; &lt;Lastname&gt;”, and attach a filled topic preference form (rename to &quot;firstname_lastname.xlsx&quot;) until A…</content>
        <summary>----------

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

 Summer Semester 2021, TU München 

Organizers: 
Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers

E-Mail:
&lt;bdlstnc-ss21@vision.in.tum.de&gt;

News

In order for participants to get matched to a topic, please send us an email to &lt;bdlstnc-ss21@vision.in.tum.de&gt; with the title “[Topic_Matching] &lt;Firstname&gt; &lt;Lastname&gt;”, and attach a filled topic preference form (rename to &quot;firstname_lastname.xlsx&quot;) until A…</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/ss2021/create_dl?rev=1625086997&amp;do=diff"/>
        <published>2021-06-30T21:03:17+00:00</published>
        <updated>2021-06-30T21:03:17+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/create_dl?rev=1625086997&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

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

 Summer Semester 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</content>
        <summary>----------

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

 Summer Semester 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</summary>
    </entry>
    <entry>
        <title>Seminar: Data Assimilation</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2021/da_seminar?rev=1618402254&amp;do=diff"/>
        <published>2021-04-14T12:10:54+00:00</published>
        <updated>2021-04-14T12:10:54+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/da_seminar?rev=1618402254&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

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</content>
        <summary>----------

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</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/ss2021/dlpractice?rev=1625087039&amp;do=diff"/>
        <published>2021-06-30T21:03:59+00:00</published>
        <updated>2021-06-30T21:03:59+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/dlpractice?rev=1625087039&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

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

 Summer Semester 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</content>
        <summary>----------

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

 Summer Semester 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</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/ss2021/intellisys_ss2021?rev=1613375727&amp;do=diff"/>
        <published>2021-02-15T07:55:27+00:00</published>
        <updated>2021-02-15T07:55:27+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/intellisys_ss2021?rev=1613375727&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS)

Summer Semester 2021, TU München

Organizers: 
 Qadeer Khan,  Prof. Dr. Daniel Cremers

Correspondence

Please forward any queries related to the lab to: &lt;intellisys-ss21.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 2021, TU München

Organizers: 
 Qadeer Khan,  Prof. Dr. Daniel Cremers

Correspondence

Please forward any queries related to the lab to: &lt;intellisys-ss21.vision.in@tum.de&gt;

Course Registration

Assignment to the lab is done via the</summary>
    </entry>
    <entry>
        <title>Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2021/ml4cv?rev=1620398077&amp;do=diff"/>
        <published>2021-05-07T14:34:37+00:00</published>
        <updated>2021-05-07T14:34:37+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/ml4cv?rev=1620398077&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)

SS 2021, TU München

Announcements

This semester, the lecture will be given online. 

You can use our library for the programming exercises:  mlcv-tutorial 


Link for piazza: &lt;https://piazza.com/tum.de/spring2021/in2357&gt;

FAQ

1. Attendance to the lecture is open for all.</content>
        <summary>Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)

SS 2021, TU München

Announcements

This semester, the lecture will be given online. 

You can use our library for the programming exercises:  mlcv-tutorial 


Link for piazza: &lt;https://piazza.com/tum.de/spring2021/in2357&gt;

FAQ

1. Attendance to the lecture is open for all.</summary>
    </entry>
    <entry>
        <title>Lecture: Computer Vision II: Multiple View Geometry (IN2228)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2021/mvg2021?rev=1617965508&amp;do=diff"/>
        <published>2021-04-09T10:51:48+00:00</published>
        <updated>2021-04-09T10:51:48+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/mvg2021?rev=1617965508&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

Lecture: Computer Vision II: Multiple View Geometry (IN2228)

SS 2021, TU Munich

Lectures will start in April and will be offered online in asynchronous form.
The lecture is offered in English. More details and announcements can be found in</content>
        <summary>----------

Lecture: Computer Vision II: Multiple View Geometry (IN2228)

SS 2021, TU Munich

Lectures will start in April and will be offered online in asynchronous form.
The lecture is offered in English. More details and announcements can be found in</summary>
    </entry>
    <entry>
        <title>Seminar: Recent Advances in 3D Computer Vision</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2021/seminar_3dcv?rev=1617179726&amp;do=diff"/>
        <published>2021-03-31T08:35:26+00:00</published>
        <updated>2021-03-31T08:35:26+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/seminar_3dcv?rev=1617179726&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

Seminar: Recent Advances in 3D Computer Vision

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

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.

General

In this seminar, we will look at different topics within the field of 3D Computer Vision, such as</summary>
    </entry>
    <entry>
        <title>Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2021/seminar_realtime3d?rev=1612354800&amp;do=diff"/>
        <published>2021-02-03T12:20:00+00:00</published>
        <updated>2021-02-03T12:20:00+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/seminar_realtime3d?rev=1612354800&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

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

Seminar IN2107, which is open to Master students from &quot;computer science&quot;, &quot;games engineering&quot;, &quot;robotics, cognition, and intelligence&quot;, and other programs. Please consult TUMonline or your study coordinator for more information.</content>
        <summary>----------

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

Seminar IN2107, which is open to Master students from &quot;computer science&quot;, &quot;games engineering&quot;, &quot;robotics, cognition, and intelligence&quot;, and other programs. Please consult TUMonline or your study coordinator for more information.</summary>
    </entry>
    <entry>
        <title>Seminar: Recent Advances in the Analysis of 3D Shapes</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2021/seminar_shapeanalysis?rev=1617876117&amp;do=diff"/>
        <published>2021-04-08T10:01:57+00:00</published>
        <updated>2021-04-08T10:01:57+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/seminar_shapeanalysis?rev=1617876117&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>----------

Seminar: Recent Advances in the Analysis of 3D Shapes

Seminar for computer science master students (IN2107).

Description

Three­-dimensional data has been used for decades in computer science. Nevertheless, methods for the automatic analysis, recognition, categorization and comparison of 3D objects have become an active field of research only recently. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to investigate methods for …</content>
        <summary>----------

Seminar: Recent Advances in the Analysis of 3D Shapes

Seminar for computer science master students (IN2107).

Description

Three­-dimensional data has been used for decades in computer science. Nevertheless, methods for the automatic analysis, recognition, categorization and comparison of 3D objects have become an active field of research only recently. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to investigate methods for …</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/ss2021/visnav_ss2021?rev=1624614971&amp;do=diff"/>
        <published>2021-06-25T09:56:11+00:00</published>
        <updated>2021-06-25T09:56:11+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2021/visnav_ss2021?rev=1624614971&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2021" />
        <content>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

SS 2021, TU München

Lecturers:  Nikolaus Demmel,  David Schubert,  Jason Chui

Please direct questions to &lt;visnav_ss2021@vision.in.tum.de&gt;

News

	*  2021-06-25: We will offer this Practical Course in the next semester (WS2021), student who are interested can go to</content>
        <summary>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

SS 2021, TU München

Lecturers:  Nikolaus Demmel,  David Schubert,  Jason Chui

Please direct questions to &lt;visnav_ss2021@vision.in.tum.de&gt;

News

	*  2021-06-25: We will offer this Practical Course in the next semester (WS2021), student who are interested can go to</summary>
    </entry>
</feed>
