Seminar on Internet Technologies (Winter 2024/2025): Difference between revisions

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Seminar on Internet Technologies (Winter 2024/2025) (view source)

Revision as of 16:23, 28 October 2024

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==Schedule==
==Schedule==
* '''TBD.01.2025''': Deadline for registration to attend the final presentation
* '''TBD.01.2025''': Deadline for registration to attend the final presentation
* '''TBD.01.2025''' : Final Presentations (Online, wait to decide)
* '''TBD.01.2025''' : Final Presentations (Offline)
* '''TBD.02.2025(23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).
* '''TBD.02.2025(23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!).


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| Basic programming knowledge, Basic machine learning knowledge, need coding work
| Basic programming knowledge, Basic machine learning knowledge, need coding work
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
| [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
|
| Yes
|-
|-
| Remote Sensing Image Registration
| In this topic, you will study and apply methods for the registration of multimodal remote sensing images with different resolution.
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
|
|
| Yes
| Yes
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| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
|
| Yes
| No
|-
|-
|-
|-
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|  
|  
| Yes
| Yes
|-
|-
| ML/DL based industrial equipment predictive maintenance (Intern/Project/Thesis possible)
| In this topic, student will study how to use cutting-edge machine learning models to predict when industrial equipment need to be maintained before crashing.
| Python(Cleaning, EDA, Modeling and Visualization). XAI knowledge is a plus.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| Yes
|-
|-
| AI for High-quality Image Restoration and Manipulation (Intern/Project/Thesis possible)
| Image restoration and manipulation are low-level vison problems aiming to either restore the degraded images for higher perceptual quality (such as better color, contrast brightness, etc.) or manipulate image styles content for better understanding or visual-appealing effects. Moreover, such problems also plays key role for many high-level computer vision tasks, including  image detection, recognition and (semantic) segmentation... In this topic, students need to follow the new trends and advances in the area of many sup-problem and explore new methods for completive or superior opportunity for academic and industrial applications.
| Python & CV knowledge.
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
|
| No
|-
|-
|-
|-
Woelk1
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