Követés
Tilman Wekel
Tilman Wekel
Engineering Manager Computer Vision NVIDIA
E-mail megerősítve itt: cs.stanford.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
Generic 3d representation via pose estimation and matching
AR Zamir, T Wekel, P Agrawal, C Wei, J Malik, S Savarese
European Conference on Computer Vision, 535-553, 2016
932016
Vision based obstacle detection for wheeled robots
T Wekel, O Kroll-Peters, S Albayrak
2008 International Conference on Control, Automation and Systems, 1587-1592, 2008
112008
Multi-view deep neural network for lidar perception
N Smolyanskiy, R Oldja, K Chen, A Popov, J Pehserl, I Eden, T Wekel, ...
US Patent App. 16/915,346, 2021
52021
Deep neural network for segmentation of road scenes and animate object instances for autonomous driving applications
K Chen, N Smolyanskiy, A Kamenev, R Oldja, T Wekel, D Nister, ...
US Patent App. 16/938,706, 2021
52021
Monocular rectangle reconstruction-based on direct linear transformation
C Wefelscheid, T Wekel, O Hellwich
International Conference on Computer Vision Theory and Applications 2, 271-276, 2011
42011
Selection of an optimal polyhedral surface model using the minimum description length principle
T Wekel, O Hellwich
Joint Pattern Recognition Symposium, 553-562, 2010
42010
Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications
A Popov, N Smolyanskiy, R Oldja, S Murray, T Wekel, D Nister, J Pehserl, ...
US Patent App. 16/836,583, 2021
22021
Mono vision based construction of elevation maps in indoor environments
T Wekel, O Kroll-Peters, C Wefelscheid, S Albayrak
Proceedings of the 8th conference on Signal processing, computational …, 2008
22008
Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications
A Popov, N Smolyanskiy, R Oldja, S Murray, T Wekel, D Nister, J Pehserl, ...
US Patent App. 16/836,618, 2021
12021
Object detection and classification using lidar range images for autonomous machine applications
T Wekel, S Oh, D Nister, J Pehserl, N Cvijetic, I Eden
US Patent App. 17/005,788, 2021
12021
Semantic Segmentation and Model Fitting for Triangulated Surfaces using Random Jumps and Graph Cuts.
T Wekel, O Hellwich
VISAPP (3), 241-250, 2015
12015
Voronoi-based extraction of a feature skeleton from noisy triangulated surfaces
T Wekel, O Hellwich
Asian Conference on Computer Vision, 108-119, 2012
12012
Segmentation of lidar range images
N Smolyanskiy, R Oldja, K Chen, A Popov, J Pehserl, I Eden, T Wekel, ...
US Patent App. 17/377,053, 2021
2021
Top-down object detection from lidar point clouds
N Smolyanskiy, R Oldja, K Chen, A Popov, J Pehserl, I Eden, T Wekel, ...
US Patent App. 17/377,064, 2021
2021
Shape and topology from noisy triangulated surfaces in a multiple view reconstruction toolchain
T Wekel
2014
Simultaneous Skeletonization and Topologic Decomposition for Digital Shape Reconstruction
T Wekel, O Hellwich
Václav Skala-UNION Agency, 2013
2013
A robust approach to multi-feature based mesh segmentation using adaptive density estimation
T Wekel, O Hellwich
International Conference on Computer Analysis of Images and Patterns, 244-252, 2011
2011
MONOCULAR RECTANGLE RECONSTRUCTION
C Wefelscheid, T Wekel, O Hellwich
2011
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Cikkek 1–18