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TUM School of Computation, Information and Technology
Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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teaching:ss2019:pgm2019 [2019/06/04 14:49]
Zhenzhang Ye
teaching:ss2019:pgm2019 [2019/07/30 15:27]
Zhenzhang Ye
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 ====== Probabilistic Graphical Models in Computer Vision (IN2329) (2h + 2h, 5 ECTS) ====== ====== Probabilistic Graphical Models in Computer Vision (IN2329) (2h + 2h, 5 ECTS) ======
 <html> <html>
-<b> Announcement: <br />  <br /> +<b> Announcement: </b><br /> </html> 
-There will be NO tutorial on Wednesday, 12.06.2019. Sheet5 should be submitted on 17.06.<br />   +The schedule of repeat exam is announced. See below for details. 
-There will be NO lecture on Wednesday, 24.04.2019. +There was an error in the exercise sheet 9, which is corrected now (2019.07.09 16:00). \\ 
-</b> +The last lecture on 22.07 will be on deep Boltzmann machines presented by [[:members:sheny|Yuesong Shen]]. \\ 
-</html> \\+There will be NO tutorial on Wednesday, 12.06.2019. Sheet5 should be submitted on 17.06. \\ 
 +There will be NO lecture on Wednesday, 24.04.2019.\\
  
 \\ \\
Line 12: Line 13:
 </b> </b>
 </html> \\ </html> \\
-Several problems in computer vision can be cast as a labeling problem. Typically, such problems arise from Markov Random Field (MRFmodels, which provide an elegant framework of formulating various types of labeling problems in imaging+Several problems in computer vision can be cast as a labeling problem. Typically, such problems arise from Markov Random Field (undirected graphical models), which provide an elegant framework of formulating various types of labeling problems in vision
-By making use of certain assumptions some nice“ MRF models can be solved in polynomial time, whereas others are NP hard. We will see bothefficient algorithms for solving the nice“ problems and relaxation strategies for the hard“ ones.\\+Under certain assumptions some "niceMRF models can be solved in polynomial time, whereas other approaches are NP hard. We will see both efficient algorithms for solving the "niceproblems and relaxation strategies for the "hardones.\\
  
 {{ :teaching:ss2019:pgm2019:graph_model_1.png?500 |}}\\ {{ :teaching:ss2019:pgm2019:graph_model_1.png?500 |}}\\
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 - Approximative inference techniques: - Approximative inference techniques:
   * Loopy belief propagation   * Loopy belief propagation
-  * Mean field, variational inference+  * Mean field, principle of variational inference
   * Sampling methods   * Sampling methods
  
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 Date: August 05th, 08:30 - 09:45. \\ Date: August 05th, 08:30 - 09:45. \\
 Place: 102, Interims Hörsaal 2 (5620.01.102) \\ Place: 102, Interims Hörsaal 2 (5620.01.102) \\
-The final exam will be written. +The final exam will be written. No cheat sheet is allowed. 
 + 
 +== Repeat Exam == 
 +Date: October 08th, 10:30 - 11:45.\\ 
 +Place: 102, Interims Hörsaal 2 (5620.01.102) \\ 
 +The repeat exam will be written. No cheat sheet is allowed.
  
 == Lecture Materials == == Lecture Materials ==
 Course material (slides and exercise sheets) can be accessed [[teaching:ss2019:pgm2019:materials|here]]. \\ \\ Send an email to [[pgm-ss19@vision.in.tum.de]] if you need the password. Course material (slides and exercise sheets) can be accessed [[teaching:ss2019:pgm2019:materials|here]]. \\ \\ Send an email to [[pgm-ss19@vision.in.tum.de]] if you need the password.

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More