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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

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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members:khamuham [2019/07/11 11:53]
Qadeer Khan
members:khamuham [2023/12/22 16:57] (current)
Qadeer Khan
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 ==== Courses ==== ==== Courses ====
 +  * SS23: Practical course [[teaching:ss2023:intellisys_ss2023|Learning For Self-Driving Cars and Intelligent Systems]] with [[members:gladkova]]. 
 +  * WS22: Practical course [[teaching:ws2022:intellisys_ws2022|Learning For Self-Driving Cars and Intelligent Systems]] with [[members:gladkova]]. 
 +  * SS22: Practical course [[teaching:ss2022:intellisys_ss2022|Learning For Self-Driving Cars and Intelligent Systems]] with [[members:gladkova]]. 
 +  * WS21/22: Practical course [[teaching:ws2021:intellisys_ws2021|Learning For Self-Driving Cars and Intelligent Systems]] with [[members:gladkova]]. 
 +  *SS21: Practical course [[teaching:ss2021:intellisys_ss2021|Learning For Self-Driving Cars and Intelligent Systems]] 
 +  * WS20/21: Practical course [[teaching:ws2020:intellisys_ws2020|Learning For Self-Driving Cars and Intelligent Systems]] 
 +  * SS20: Practical course [[teaching:ss2020:intellisys_ss2020|Learning For Self-Driving Cars and Intelligent Systems]] with [[members:wenzel]]. 
 +  * WS19/20: Practical course [[teaching:ws2019:intellisys_ws2019|Learning For Self-Driving Cars and Intelligent Systems]] with [[members:sheny]] and [[members:wenzel]].
   * SS19: Practical course [[teaching:ss2019:dlpractice_ss2019|Hands-on Deep Learning for Computer Vision and Biomedicine]] with [[members:golkov]] and [[members:wenzel]].   * SS19: Practical course [[teaching:ss2019:dlpractice_ss2019|Hands-on Deep Learning for Computer Vision and Biomedicine]] with [[members:golkov]] and [[members:wenzel]].
 +
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 +  
  
  
 ==== Offered Projects ==== ==== Offered Projects ====
  
-  * Optimal Brain Damage: Model Pruning for faster inference +In case you are interested in doing an IDP, Guided Research, Bachelor/Master thesis, in the areas of Multi-modal deep learning, Graphical neural networks, active learning, vehicle control feel free to send your application including resume and transcripts and a short description of the area of interest. 
-  * Self-Supervised Vehicle Control on Sparse 3D point clouds   + 
-In case you are interested to do an IDP/thesisplease send your application including your resume and transcripts.+ 
 +==== Ongoing Projects ==== 
 + 
 +   * Diffusion Models for Novel View Synthesis 
 +   * Facial Reenactment with Nerf's. 
 +   * Economic load dispatch of power generation. 
 + 
 +==== Completed Projects ==== 
 +   * Augmented Pseudo-LiDAR for Self-Supervised Vehicle Control [IDP, Jonathan Schmidt] 
 +   *Learning robust vehicle Control from multiple images. [IDP, Idil Sülö] 
 +   * Offline Reinforcement Learning for vehicle control. [IDP, Samuel Weber] 
 +   * VentriloquistNetLeveraging Speech Cues to Generate Naturalistic Talking Head Motions. [Master Thesis, Deepan Das] 
 +   * 3D Spatial Motion Estimation of Image Pixels. [Guided Research, Tong Yan Chan] 
 +   * Active Learning For Reducing The Labelling Effort in Semantic Segmentation. [Application Project, Mohab Ghanem] 
 +   * Self-supervised Novel View Image Synthesis for Improving Performance of Driving Algorithms.[Master Thesis, Yiu Ting Tang] 
 +   * Relative Pose Estimation using Novel View Synthesis for Relocalization.[Guided Research, Melis Öcal] 
 +   * Deep Active learning on Graphical networks for semantic segmentation.[Master Thesis, Viktor Drobnyi]  
 +   Model Pruning for faster inference [Guided Research, Paul Ursulean] 
 +   * Self-Supervised Vehicle Control on Sparse 3D point clouds [Bachelor Thesis, Florian Müller] 
 +   * IMU based pose estimation using deep neural networks [IDP, Nicholas Gao]
  
 ==== Publications ==== ==== Publications ====

Rechte Seite

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