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Jan Stühmer
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2020 – today
- 2024
- [i11]Leif Seute, Eric Hartmann
, Jan Stühmer, Frauke Gräter:
Grappa - A Machine Learned Molecular Mechanics Force Field. CoRR abs/2404.00050 (2024) - [i10]Moritz Feik, Sebastian Lerch, Jan Stühmer:
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts. CoRR abs/2407.11050 (2024) - 2023
- [c13]Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales:
Amortised Invariance Learning for Contrastive Self-Supervision. ICLR 2023 - [c12]Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales:
Learning where and when to reason in neuro-symbolic inference. ICLR 2023 - [c11]Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales:
Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy 2023: 411-412 - [i9]Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales:
Amortised Invariance Learning for Contrastive Self-Supervision. CoRR abs/2302.12712 (2023) - [i8]Robin Ruff, Patrick Reiser, Jan Stühmer, Pascal Friederich
Connectivity Optimized Nested Graph Networks for Crystal Structures. CoRR abs/2302.14102 (2023) - 2022
- [c10]Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales:
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR 2022: 9058-9067 - [i7]Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales:
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR abs/2204.07305 (2022) - [i6]Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales:
HyperInvariances: Amortizing Invariance Learning. CoRR abs/2207.08304 (2022) - 2021
- [c9]Taein Kwon
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition. ICCV 2021: 10118-10128 - [i5]Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, Marc Pollefeys:
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition. CoRR abs/2104.11181 (2021) - 2020
- [c8]Jan Stuehmer, Richard E. Turner, Sebastian Nowozin:
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. AISTATS 2020: 1200-1210 - [i4]Dorin Ungureanu, Federica Bogo, Silvano Galliani, Pooja Sama, Xin Duan, Casey Meekhof, Jan Stühmer, Thomas J. Cashman, Bugra Tekin, Johannes L. Schönberger, Pawel Olszta, Marc Pollefeys:
HoloLens 2 Research Mode as a Tool for Computer Vision Research. CoRR abs/2008.11239 (2020)
2010 – 2019
- 2019
- [i3]Jan Stühmer, Richard E. Turner, Sebastian Nowozin:
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. CoRR abs/1909.05063 (2019) - [i2]Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz:
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. CoRR abs/1910.05639 (2019) - 2018
- [i1]Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann:
Variational Inference for Data-Efficient Model Learning in POMDPs. CoRR abs/1805.09281 (2018) - 2016
- [b1]Jan Stühmer:
A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction. Technical University Munich, Germany, 2016 - 2015
- [c7]Jan Stühmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. ICCV 2015: 3577-3585 - 2014
- [c6]Rudolph Triebel
Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes. GCPR 2014: 641-652 - [c5]Martin Ralf Oswald, Jan Stühmer, Daniel Cremers
Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction. ECCV (4) 2014: 32-46 - [c4]Jan Stühmer, Daniel Cremers
A Fast Projection Method for Connectivity Constraints in Image Segmentation. EMMCVPR 2014: 183-196 - 2013
- [c3]Jan Stühmer, Peter Schröder, Daniel Cremers
Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs. ICCV 2013: 2336-2343 - 2010
- [c2]Jan Stühmer, Stefan Gumhold, Daniel Cremers
Real-Time Dense Geometry from a Handheld Camera. DAGM-Symposium 2010: 11-20 - [c1]Jan Stühmer, Stefan Gumhold, Daniel Cremers
Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera. ECCV Workshops (1) 2010: 450-462
Coauthor Index
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last updated on 2024-12-26 01:52 CET by the dblp team
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