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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:toeppe [2013/02/06 19:13] (current)
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 I am currently working in the following research areas: I am currently working in the following research areas:
-|[[research:Single View 3D Reconstruction|{{:research:topics:image-based_3d_reconstruction:cockatoo_recon.png?150|}}]]|[[research:Single View 3D Reconstruction]] Based on a single image the silhouette of the object is extracted. By applying additional constraints e.g. on the volume of the object or the shape along cross sections 3D models can be computed from variational approaches.| +|[[research:Single View 3D Reconstruction|{{:research:topics:image-based_3d_reconstruction:cockatoo_recon.png?150|}}]]|[[research:Single View 3D Reconstruction]]Based on a single image the silhouette of the object is extracted. By applying additional constraints e.g. on the volume of the object or the shape along cross sections 3D models can be computed from variational approaches.| 
-|[[research:image_segmentation|{{:spezial:bib:nieuwenhuis-cremers-pami12.jpg?150|}}]]|[[research:image_segmentation]] Theoretical and experimental comparison of discrete and continuous optimization methods for multilabel problems.| +|[[research:image_segmentation|{{:spezial:bib:nieuwenhuis-cremers-pami12.jpg?150|}}]]|[[research:image_segmentation]]Theoretical and experimental comparison of discrete and continuous optimization methods for multilabel problems.| 
-|{{:research:software:software_planarcut.png?120|}}|The PlanarCut library computes a max-flow/min-s-t-cut on planar graphs. It implements an efficient algorithm, which has almost linear running time. The code to the project can be downloaded [[https://vision.in.tum.de/data/software|here]]. |+|{{:research:software:software_planarcut.png?120|}}|[[https://vision.in.tum.de/data/software|Planar Graph Cuts]]. The PlanarCut library computes a max-flow/min-s-t-cut on planar graphs. It implements an efficient algorithm, which has almost linear running time. The code to the project can be downloaded. |

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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