Jan Stühmer

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Daniel CremersTechnical University of MunichVerified email at tum.de
Stefan GumholdChair for Computer Graphics and Visualization, TU DresdenVerified email at tu-dresden.de
Carl-Philipp HeisenbergIST AustriaVerified email at ist.ac.at
Michael KriegICFO, BarcelonaVerified email at icfo.eu
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Alexander R. DunnAssociate Professor of Chemical Engineering, Stanford UniversityVerified email at stanford.edu
Daniel J MullerETH Zurich, Department of Biosystems Science and EngineeringVerified email at bsse.ethz.ch
Miriam B. GoodmanProfessor of Molecular and Cellular Physiology, Stanford UniversityVerified email at stanford.edu
Peter SchröderProfessor of Computer Science and Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Jamie ShottonMicrosoft ResearchVerified email at microsoft.com
Andrew FitzgibbonMicrosoftVerified email at microsoft.com
Martin R. OswaldETH ZurichVerified email at inf.ethz.ch
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Richard SzeliskiCSE, The University of WashingtonVerified email at cs.washington.edu
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Rudolph TriebelDLR and Technical University MunichVerified email at in.tum.de
Kai ArulkumaranArayaVerified email at araya.org
Niklas StoehrInstitute for Machine Learning, ETH ZurichVerified email at inf.ethz.ch
Marc BrockschmidtResearcher, Microsoft ResearchVerified email at microsoft.com
Emine YilmazUniversity College LondonVerified email at ucl.ac.uk

Jan Stühmer

Samsung AI Centre, Cambridge

Verified email at samsung.com

Computer Vision Artificial Intelligence Machine Learning


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Real-time dense geometry from a handheld camera J Stühmer, S Gumhold, D Cremers Joint Pattern Recognition Symposium, 11-20, 2010	279	2010
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	110	2010
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	73	2017
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	44	2013
Generalized connectivity constraints for spatio-temporal 3d reconstruction MR Oswald, J Stühmer, D Cremers European Conference on Computer Vision, 32-46, 2014	37	2014
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	36	2009
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	18	2015
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	12	2010
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	9	2015
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations J Stühmer, RE Turner, S Nowozin AISTATS 2020, 2020	8	2020
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	8	2014
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	7	2020
Variational inference for data-efficient model learning in pomdps S Tschiatschek, K Arulkumaran, J Stühmer, K Hofmann arXiv preprint arXiv:1805.09281, 2018	7	2018
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	6	2019
ISA-VAE: Independent subspace analysis with variational autoencoders J Stühmer, R Turner, S Nowozin	1	2018
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	1	2017
A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction J Stühmer Technische Universität München, 2016	1	2016
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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