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    <title>Computer Vision Group teaching:ss2018</title>
    <subtitle></subtitle>
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    <id>https://cvg.cit.tum.de/</id>
    <updated>2026-04-21T16:50:52+00:00</updated>
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    <entry>
        <title>Seminar: Current Trends in Deep Learning (IN2107, IN4515)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2018/ctdl?rev=1530708807&amp;do=diff"/>
        <published>2018-07-04T12:53:27+00:00</published>
        <updated>2018-07-04T12:53:27+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/ctdl?rev=1530708807&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>Seminar: Current Trends in Deep Learning (IN2107, IN4515)

SS 2018, TU München

Seminar

 Location: Room 02.09.023

 Preliminary Meeting: 26.01.2018, 14:00 (please bring a device to access the internet)

 Date: Thursday

 Time: 14:00 - 16:00

 Lecturer:</content>
        <summary>Seminar: Current Trends in Deep Learning (IN2107, IN4515)

SS 2018, TU München

Seminar

 Location: Room 02.09.023

 Preliminary Meeting: 26.01.2018, 14:00 (please bring a device to access the internet)

 Date: Thursday

 Time: 14:00 - 16:00

 Lecturer:</summary>
    </entry>
    <entry>
        <title>Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2018/cvx4cv?rev=1532007814&amp;do=diff"/>
        <published>2018-07-19T13:43:34+00:00</published>
        <updated>2018-07-19T13:43:34+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/cvx4cv?rev=1532007814&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS)

 

-  

- Sheet 10 is the last exercise sheet. The tutorial on July 11th will be a Q&amp;A session. 

- On July 9th, Emanuel Laude will present a special session on &quot;Stochastic Gradient Descent&quot;.</content>
        <summary>Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS)

 

-  

- Sheet 10 is the last exercise sheet. The tutorial on July 11th will be a Q&amp;A session. 

- On July 9th, Emanuel Laude will present a special session on &quot;Stochastic Gradient Descent&quot;.</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/ss2018/dlpractice_ss2018?rev=1531819620&amp;do=diff"/>
        <published>2018-07-17T09:27:00+00:00</published>
        <updated>2018-07-17T09:27:00+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/dlpractice_ss2018?rev=1531819620&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>----------

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

Summer Semester 2018, TU München


here.


Please direct all questions regarding this practical course to golkov[at]in.tum.de


Organizers: 
Vladimir Golkov, Prof. Dr. Daniel Cremers

The preliminary meeting (</content>
        <summary>----------

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

Summer Semester 2018, TU München


here.


Please direct all questions regarding this practical course to golkov[at]in.tum.de


Organizers: 
Vladimir Golkov, Prof. Dr. Daniel Cremers

The preliminary meeting (</summary>
    </entry>
    <entry>
        <title>Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2018/gpucourse_ss2018?rev=1539182739&amp;do=diff"/>
        <published>2018-10-10T14:45:39+00:00</published>
        <updated>2018-10-10T14:45:39+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/gpucourse_ss2018?rev=1539182739&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>----------

Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS)

SS 2018, TU München

Tutors: 
Björn Häfner, 
Robert Maier, 
David Schubert


 Requirements: Good Knowledge of C or C++, basic mathematics 


 Number of participants: up to 24 


 Location:  The course will take place in our lab 02.05.014.</content>
        <summary>----------

Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS)

SS 2018, TU München

Tutors: 
Björn Häfner, 
Robert Maier, 
David Schubert


 Requirements: Good Knowledge of C or C++, basic mathematics 


 Number of participants: up to 24 


 Location:  The course will take place in our lab 02.05.014.</summary>
    </entry>
    <entry>
        <title>Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2018/ml4cv?rev=1539357538&amp;do=diff"/>
        <published>2018-10-12T15:18:58+00:00</published>
        <updated>2018-10-12T15:18:58+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/ml4cv?rev=1539357538&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)

SS 2018, TU München

Announcements

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


April, 17th: 


April, 20th: 


June, 25th: 


July 15th:


July 25th:


FAQ

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

SS 2018, TU München

Announcements

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


April, 17th: 


April, 20th: 


June, 25th: 


July 15th:


July 25th:


FAQ

1. Attendance to the lecture is open for all.</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/ss2018/mvg2018?rev=1540457112&amp;do=diff"/>
        <published>2018-10-25T08:45:12+00:00</published>
        <updated>2018-10-25T08:45:12+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/mvg2018?rev=1540457112&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>----------

Computer Vision II: Multiple View Geometry (IN2228)

SS 2018, TU München

News

25.10.:

	*  The review for the repeat exam is today between 1 and 2 pm in 02.07.034 (you should have gotten this info via email a few days ago in any case).</content>
        <summary>----------

Computer Vision II: Multiple View Geometry (IN2228)

SS 2018, TU München

News

25.10.:

	*  The review for the repeat exam is today between 1 and 2 pm in 02.07.034 (you should have gotten this info via email a few days ago in any case).</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/ss2018/seminar_3dcv?rev=1521040163&amp;do=diff"/>
        <published>2018-03-14T15:09:23+00:00</published>
        <updated>2018-03-14T15:09:23+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/seminar_3dcv?rev=1521040163&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>----------

Seminar: Recent Advances in 3D Computer Vision

Seminar for computer science master students (IN2107).

Description

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 proceed to the more recent methods for SLAM and SfM. I…</content>
        <summary>----------

Seminar: Recent Advances in 3D Computer Vision

Seminar for computer science master students (IN2107).

Description

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 proceed to the more recent methods for SLAM and SfM. I…</summary>
    </entry>
    <entry>
        <title>Seminar: Shape Analysis</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ss2018/seminar_shape_analysis?rev=1516558628&amp;do=diff"/>
        <published>2018-01-21T18:17:08+00:00</published>
        <updated>2018-01-21T18:17:08+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/seminar_shape_analysis?rev=1516558628&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>----------

Seminar: Shape Analysis

Summer term 2018.</content>
        <summary>----------

Seminar: Shape Analysis

Summer term 2018.</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/ss2018/visnav_ss2018?rev=1522768753&amp;do=diff"/>
        <published>2018-04-03T15:19:13+00:00</published>
        <updated>2018-04-03T15:19:13+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ss2018/visnav_ss2018?rev=1522768753&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ss2018" />
        <content>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

SS 2018, TU München

Lecturers: Dr. Xiang Gao, Vladyslav Usenko

Tutors:
Dr. Xiang Gao, Vladyslav Usenko

Please direct questions to visnav_ss2018@vision.in.tum.de


 Registration through the</content>
        <summary>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

SS 2018, TU München

Lecturers: Dr. Xiang Gao, Vladyslav Usenko

Tutors:
Dr. Xiang Gao, Vladyslav Usenko

Please direct questions to visnav_ss2018@vision.in.tum.de


 Registration through the</summary>
    </entry>
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