Jan Stühmer
Jan Stühmer
Samsung AI Centre, Cambridge
Bestätigte E-Mail-Adresse bei samsung.com
Titel
Zitiert von
Zitiert von
Jahr
Real-time dense geometry from a handheld camera
J Stühmer, S Gumhold, D Cremers
Joint Pattern Recognition Symposium, 11-20, 2010
2802010
Movement directionality in collective migration of germ layer progenitors
Y Arboleda-Estudillo, M Krieg, J Stühmer, NA Licata, DJ Muller, ...
Current Biology 20 (2), 161-169, 2010
1112010
Genetic defects in β-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling
M Krieg, J Stühmer, JG Cueva, R Fetter, K Spilker, D Cremers, K Shen, ...
Elife 6, e20172, 2017
732017
Tree Shape Priors with Connectivity Constraints using Convex Relaxation on General Graphs
J Stühmer, P Schröder, D Cremers
IEEE International Conference on Computer Vision (ICCV), 2013
442013
Generalized connectivity constraints for spatio-temporal 3d reconstruction
MR Oswald, J Stühmer, D Cremers
European Conference on Computer Vision, 32-46, 2014
372014
Control of convergent yolk syncytial layer nuclear movement in zebrafish
L Carvalho, J Stühmer, JS Bois, Y Kalaidzidis, V Lecaudey, ...
Oxford University Press for The Company of Biologists Limited 136 (8), 1305-1315, 2009
362009
Model-Based Tracking at 300Hz using Raw Time-of-Flight Observations
J Stühmer, S Nowozin, AW Fitzgibbon, R Szeliski, T Perry, S Acharya, ...
IEEE International Conference on Computer Vision (ICCV), 2015
182015
Parallel generalized thresholding scheme for live dense geometry from a handheld camera
J Stühmer, S Gumhold, D Cremers
European Conference on Computer Vision, 450-462, 2010
122010
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
J Stühmer, RE Turner, S Nowozin
AISTATS 2020, 2020
92020
A fast projection method for connectivity constraints in image segmentation
J Stühmer, D Cremers
International Workshop on Energy Minimization Methods in Computer Vision and …, 2015
92015
Active online learning for interactive segmentation using sparse gaussian processes
R Triebel, J Stühmer, M Souiai, D Cremers
German Conference on Pattern Recognition, 641-652, 2014
82014
Hololens 2 research mode as a tool for computer vision research
D Ungureanu, F Bogo, S Galliani, P Sama, C Meekhof, J Stühmer, ...
arXiv preprint arXiv:2008.11239, 2020
72020
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
N Stoehr, E Yilmaz, M Brockschmidt, J Stuehmer
NeurIPS Workshop on Graph Representation Learning, 2019
72019
Variational inference for data-efficient model learning in pomdps
S Tschiatschek, K Arulkumaran, J Stühmer, K Hofmann
arXiv preprint arXiv:1805.09281, 2018
72018
ISA-VAE: Independent subspace analysis with variational autoencoders
J Stühmer, R Turner, S Nowozin
12018
Tau like proteins reduce torque generation in microtubule bundles
M Krieg, J Stuehmer, JG Cueva, R Fetter, K Spilker, D Cremers, K Shen, ...
Biophysical Journal 112 (3), 29a-30a, 2017
12017
A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction
J Stühmer
Technische Universität München, 2016
12016
Control system using autoencoder
B Federica, TJ Cashman, AW Fitzgibbon, L Ballan, J Stuehmer
US Patent App. 16/370,663, 2020
2020
System for predicting articulated object feature location
S Nowozin, B Federica, JDJ Shotton, J Stuehmer
US Patent App. 16/100,179, 2019
2019
Trajectory VAE for multi-modal imitation
X Lu, J Stuehmer, K Hofmann
2018
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