Jan Stühmer

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Daniel CremersTechnical University of MunichAdresse e-mail validée de tum.de
Stefan GumholdChair for Computer Graphics and Visualization, TU DresdenAdresse e-mail validée de tu-dresden.de
Carl-Philipp HeisenbergIST AustriaAdresse e-mail validée de ist.ac.at
Michael KriegICFO, BarcelonaAdresse e-mail validée de icfo.eu
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Adresse e-mail validée de microsoft.com
Alexander R. DunnAssociate Professor of Chemical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Daniel J MullerETH Zurich, Department of Biosystems Science and EngineeringAdresse e-mail validée de bsse.ethz.ch
Miriam B. GoodmanProfessor of Molecular and Cellular Physiology, Stanford UniversityAdresse e-mail validée de stanford.edu
Jamie ShottonWayveAdresse e-mail validée de wayve.ai
Peter SchröderProfessor of Computer Science and Applied & Computational Mathematics, CaltechAdresse e-mail validée de caltech.edu
Andrew FitzgibbonGraphcoreAdresse e-mail validée de fitzgibbon.ie
Martin R. OswaldUniversity of Amsterdam & ETH ZurichAdresse e-mail validée de inf.ethz.ch
Richard E TurnerProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Katja HofmannMicrosoft ResearchAdresse e-mail validée de microsoft.com
Richard SzeliskiCSE, The University of WashingtonAdresse e-mail validée de cs.washington.edu
Kai ArulkumaranArayaAdresse e-mail validée de araya.org
Niklas StoehrInstitute for Machine Learning, ETH ZurichAdresse e-mail validée de inf.ethz.ch
Marc BrockschmidtResearch Scientist, Google ResearchAdresse e-mail validée de google.com
Emine YilmazUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Rudolph TriebelDLR and Technical University MunichAdresse e-mail validée de in.tum.de

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Jan Stühmer

Samsung AI Centre, Cambridge

Adresse e-mail validée de samsung.com

Computer Vision Artificial Intelligence Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Real-time dense geometry from a handheld camera J Stühmer, S Gumhold, D Cremers Joint Pattern Recognition Symposium, 11-20, 2010	296	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	120	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	87	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	47	2013
Generalized connectivity constraints for spatio-temporal 3d reconstruction MR Oswald, J Stühmer, D Cremers European Conference on Computer Vision, 32-46, 2014	43	2014
Hololens 2 research mode as a tool for computer vision research D Ungureanu, F Bogo, S Galliani, P Sama, X Duan, C Meekhof, J Stühmer, ... arXiv preprint arXiv:2008.11239, 2020	40	2020
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	34	2009
H2o: Two hands manipulating objects for first person interaction recognition T Kwon, B Tekin, J Stühmer, F Bogo, M Pollefeys Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	28	2021
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	19	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	13	2010
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations J Stühmer, RE Turner, S Nowozin AISTATS 2020, 2020	12	2020
Variational inference for data-efficient model learning in pomdps S Tschiatschek, K Arulkumaran, J Stühmer, K Hofmann arXiv preprint arXiv:1805.09281, 2018	11	2018
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	10	2015
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	9	2019
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
System for predicting articulated object feature location S Nowozin, B Federica, JDJ Shotton, J Stuehmer US Patent App. 16/100,179, 2019	7	2019
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	2	2017
Control system using autoencoder B Federica, TJ Cashman, AW Fitzgibbon, L Ballan, J Stuehmer US Patent App. 16/370,663, 2020	1	2020
ISA-VAE: Independent subspace analysis with variational autoencoders J Stühmer, R Turner, S Nowozin	1	2018
A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction J Stühmer Technische Universität München, 2016	1	2016

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