Stefan Gumhold
Stefan Gumhold
Chair for Computer Graphics and Visualization, TU Dresden
Verified email at - Homepage
Cited by
Cited by
Learning 6d object pose estimation using 3d object coordinates
E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother
Computer VisioníVECCV 2014: 13th European Conference, Zurich, Switzerland íK, 2014
Dsac-differentiable ransac for camera localization
E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ...
Proceedings of the IEEE conference on computer vision and pattern íK, 2017
Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
E Brachmann, F Michel, A Krull, MY Yang, S Gumhold
Proceedings of the IEEE conference on computer vision and pattern íK, 2016
Real time compression of triangle mesh connectivity
S Gumhold, W Straßer
Proceedings of the 25th annual conference on Computer graphics and íK, 1998
Feature Extraction From Point Clouds.
S Gumhold, X Wang, RS MacLeod
IMR, 293-305, 2001
Real-time dense geometry from a handheld camera
J Stühmer, S Gumhold, D Cremers
Joint Pattern Recognition Symposium, 11-20, 2010
Learning analysis-by-synthesis for 6D pose estimation in RGB-D images
A Krull, E Brachmann, F Michel, MY Yang, S Gumhold, C Rother
Proceedings of the IEEE international conference on computer vision, 954-962, 2015
Out-of-core compression for gigantic polygon meshes
M Isenburg, S Gumhold
ACM Transactions on Graphics (TOG) 22 (3), 935-942, 2003
Predictive point-cloud compression
S Gumhold, Z Kami, M Isenburg, HP Seidel
ACM SIGGRAPH 2005 Sketches, 137-es, 2005
Simplification and compression of 3D meshes
C Gotsman, S Gumhold, L Kobbelt
Tutorials on multiresolution in geometric modelling: summer school lecture íK, 2002
Large mesh simplification using processing sequences
M Isenburg, P Lindstrom, S Gumhold, J Snoeyink
IEEE Visualization, 2003. VIS 2003., 465-472, 2003
Global hypothesis generation for 6D object pose estimation
F Michel, A Kirillov, E Brachmann, A Krull, S Gumhold, B Savchynskyy, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2017
Mesh segmentation driven by Gaussian curvature
H Yamauchi, S Gumhold, R Zayer, HP Seidel
The Visual Computer 21, 659-668, 2005
Maximum entropy light source placement
S Gumhold
ACM SIGGRAPH 2002 conference abstracts and applications, 215-215, 2002
Splatting illuminated ellipsoids with depth correction.
S Gumhold
VMV, 245-252, 2003
Tetrahedral mesh compression with the cut-border machine
S Gumhold, S Guthe, W Straßer
Proceedings Visualization'99 (Cat. No. 99CB37067), 51-509, 1999
Visualization with stylized line primitives
C Stoll, S Gumhold, HP Seidel
VIS 05. IEEE Visualization, 2005., 695-702, 2005
Visualizations of deep neural networks in computer vision: A survey
C Seifert, A Aamir, A Balagopalan, D Jain, A Sharma, S Grottel, ...
Transparent data mining for big and small data, 123-144, 2017
Connectivity shapes
M Isenburg, S Gumhold, C Gotsman
Proceedings Visualization, 2001. VIS'01., 135-552, 2001
Reinforced feature points: Optimizing feature detection and description for a high-level task
A Bhowmik, S Gumhold, C Rother, E Brachmann
Proceedings of the IEEE/CVF conference on computer vision and pattern íK, 2020
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