| Real-time dense geometry from a handheld camera J Stühmer, S Gumhold, D Cremers Joint Pattern Recognition Symposium, 11-20, 2010 | 312 | 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 | 131 | 2010 |
| 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 | 105 | 2020 |
| 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 | 103 | 2017 |
| Pushing the limits of simple pipelines for few-shot learning: External data and fine-tuning make a difference SX Hu, D Li, J Stühmer, M Kim, TM Hospedales Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 84 | 2022 |
| 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 | 70 | 2021 |
| 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 | 46 | 2013 |
| Generalized connectivity constraints for spatio-temporal 3d reconstruction MR Oswald, J Stühmer, D Cremers Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 43 | 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 | 37 | 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 | 22 | 2015 |
| Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations J Stühmer, RE Turner, S Nowozin AISTATS 2020, 2020 | 21 | 2020 |
| Variational inference for data-efficient model learning in pomdps S Tschiatschek, K Arulkumaran, J Stühmer, K Hofmann arXiv preprint arXiv:1805.09281, 2018 | 17 | 2018 |
| System for predicting articulated object feature location S Nowozin, B Federica, JDJ Shotton, J Stuehmer US Patent App. 16/100,179, 2019 | 15 | 2019 |
| 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 | 12 | 2019 |
| Parallel generalized thresholding scheme for live dense geometry from a handheld camera J Stühmer, S Gumhold, D Cremers Trends and Topics in Computer Vision: ECCV 2010 Workshops, Heraklion, Crete …, 2012 | 12 | 2012 |
| A fast projection method for connectivity constraints in image segmentation J Stühmer, D Cremers Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015 | 10 | 2015 |
| Active online learning for interactive segmentation using sparse gaussian processes R Triebel, J Stühmer, M Souiai, D Cremers Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014 | 9 | 2014 |
| HoloLens 2 research mode as a tool for computer vision research (2020) D Ungureanu, F Bogo, S Galliani, P Sama, X Duan, C Meekhof, J Stühmer, ... arXiv preprint arXiv:2008.11239, 2008 | 5 | 2008 |
| Learning where and when to reason in neuro-symbolic inference C Cornelio, J Stuehmer, SX Hu, T Hospedales International Conference on Learning Representations, 2023 | 3 | 2023 |
| Amortised Invariance Learning for Contrastive Self-Supervision R Chavhan, H Gouk, J Stuehmer, C Heggan, M Yaghoobi, T Hospedales International Conference on Learning Representations, 2023 | 2 | 2023 |
Daniel CremersTechnical University of MunichVerified email at tum.de
