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    <title>Computer Vision Group teaching:ws2022</title>
    <subtitle></subtitle>
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    <id>https://cvg.cit.tum.de/</id>
    <updated>2026-04-23T03:44:42+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/ws2022/3dcv?rev=1663144594&amp;do=diff"/>
        <published>2022-09-14T08:36:34+00:00</published>
        <updated>2022-09-14T08:36:34+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/3dcv?rev=1663144594&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <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>Master Seminar: 3D Shape Generation and Analysis (5 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ws2022/3dsga?rev=1662739157&amp;do=diff"/>
        <published>2022-09-09T15:59:17+00:00</published>
        <updated>2022-09-09T15:59:17+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/3dsga?rev=1662739157&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>----------

Master Seminar: 3D Shape Generation and Analysis (5 ECTS)

 Winter Semester 2022, TU München 

Organisers: 
Maolin Gao, Tarun Yenamandra

Please direct questions to &lt;3dsga-ws22@vision.in.tum.de&gt;

News

News

2022-09-09: The topic assignment and seminar schedule are out, please contact your supervisor to discuss your paper ~4 weeks prior to your presentation date.</content>
        <summary>----------

Master Seminar: 3D Shape Generation and Analysis (5 ECTS)

 Winter Semester 2022, TU München 

Organisers: 
Maolin Gao, Tarun Yenamandra

Please direct questions to &lt;3dsga-ws22@vision.in.tum.de&gt;

News

News

2022-09-09: The topic assignment and seminar schedule are out, please contact your supervisor to discuss your paper ~4 weeks prior to your presentation date.</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/ws2022/bdl?rev=1665654769&amp;do=diff"/>
        <published>2022-10-13T09:52:49+00:00</published>
        <updated>2022-10-13T09:52:49+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/bdl?rev=1665654769&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>----------

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

 Winter Semester 2022/23, TU München 

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

E-Mail:
&lt;bdlstnc-ws22@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)

 Winter Semester 2022/23, TU München 

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

E-Mail:
&lt;bdlstnc-ws22@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/ws2022/create_dl?rev=1658521350&amp;do=diff"/>
        <published>2022-07-22T20:22:30+00:00</published>
        <updated>2022-07-22T20:22:30+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/create_dl?rev=1658521350&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>----------

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

 Winter Semester 2022/2023, TU München 

Organizers: 
Dr. Vladimir Golkov, Prof. Dr. Daniel Cremers

Preliminary meeting (not obligatory): 12 July 2022, 3pm online: &lt;https://bbb.in.tum.de/vla-493-ke7&gt; 

Slides from an earlier semester&#039;s preliminary meeting are available</content>
        <summary>----------

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

 Winter Semester 2022/2023, TU München 

Organizers: 
Dr. Vladimir Golkov, Prof. Dr. Daniel Cremers

Preliminary meeting (not obligatory): 12 July 2022, 3pm online: &lt;https://bbb.in.tum.de/vla-493-ke7&gt; 

Slides from an earlier semester&#039;s preliminary meeting are available</summary>
    </entry>
    <entry>
        <title>Computer Vision III: Detection, Segmentation and Tracking</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ws2022/cv3?rev=1666108752&amp;do=diff"/>
        <published>2022-10-18T15:59:12+00:00</published>
        <updated>2022-10-18T15:59:12+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/cv3?rev=1666108752&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>----------

Computer Vision III: Detection, Segmentation and Tracking

Overview

The &quot;Computer Vision III&quot; course in winter semester 22/23 provides a comprehensive overview of methods for high-level computer vision tasks.
These tasks provide the most compelling examples of computer vision and its use in the real world.
Despite many challenges, we have seen substantial progress over the past years, fuelled by deep learning. 
Research on object detection, tracking and semantic segmentation is one …</content>
        <summary>----------

Computer Vision III: Detection, Segmentation and Tracking

Overview

The &quot;Computer Vision III&quot; course in winter semester 22/23 provides a comprehensive overview of methods for high-level computer vision tasks.
These tasks provide the most compelling examples of computer vision and its use in the real world.
Despite many challenges, we have seen substantial progress over the past years, fuelled by deep learning. 
Research on object detection, tracking and semantic segmentation is one …</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/ws2022/dlpractice?rev=1674559598&amp;do=diff"/>
        <published>2023-01-24T11:26:38+00:00</published>
        <updated>2023-01-24T11:26:38+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/dlpractice?rev=1674559598&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>----------

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

 Winter Semester 2022/2023, TU München 

Organizers: 
Dr. Vladimir Golkov, Prof. Dr. Daniel Cremers

Preliminary meeting (not obligatory): 12 July 2022, 3pm online: &lt;https://bbb.in.tum.de/vla-493-ke7&gt; 

Slides from an earlier semester&#039;s preliminary meeting are available</content>
        <summary>----------

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

 Winter Semester 2022/2023, TU München 

Organizers: 
Dr. Vladimir Golkov, Prof. Dr. Daniel Cremers

Preliminary meeting (not obligatory): 12 July 2022, 3pm online: &lt;https://bbb.in.tum.de/vla-493-ke7&gt; 

Slides from an earlier semester&#039;s preliminary meeting are available</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/ws2022/intellisys_ws2022?rev=1659529540&amp;do=diff"/>
        <published>2022-08-03T12:25:40+00:00</published>
        <updated>2022-08-03T12:25:40+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/intellisys_ws2022?rev=1659529540&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS)

Winter Semester 2022/23, 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)

Winter Semester 2022/23, 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>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/ws2022/seminar_realtime3d?rev=1666805982&amp;do=diff"/>
        <published>2022-10-26T17:39:42+00:00</published>
        <updated>2022-10-26T17:39:42+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/seminar_realtime3d?rev=1666805982&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <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>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)</title>
        <link rel="alternate" type="text/html" href="https://cvg.cit.tum.de/teaching/ws2022/visnav_ws2022?rev=1675083296&amp;do=diff"/>
        <published>2023-01-30T12:54:56+00:00</published>
        <updated>2023-01-30T12:54:56+00:00</updated>
        <id>https://cvg.cit.tum.de/teaching/ws2022/visnav_ws2022?rev=1675083296&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="teaching:ws2022" />
        <content>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

WS 2022, TU München

Lecturers:  Jason Chui,  Simon Klenk,  Sergei Solonets

Please direct questions to &lt;visnav-ws22@vision.in.tum.de&gt;

News

	*  2023-01-30: &lt;https://tum-conf.zoom.us/j/61109968797?pwd=SVNTQ0RQOFU0WlhHdk52aVUzTnU1Zz09&gt; pw:906412
	*  2022-11-28: Remember to register your group and your topic in the google sheet, you can find it in the material page</content>
        <summary>Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

WS 2022, TU München

Lecturers:  Jason Chui,  Simon Klenk,  Sergei Solonets

Please direct questions to &lt;visnav-ws22@vision.in.tum.de&gt;

News

	*  2023-01-30: &lt;https://tum-conf.zoom.us/j/61109968797?pwd=SVNTQ0RQOFU0WlhHdk52aVUzTnU1Zz09&gt; pw:906412
	*  2022-11-28: Remember to register your group and your topic in the google sheet, you can find it in the material page</summary>
    </entry>
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