Jan Stühmer

According to our database, Jan Stühmer authored at least 19 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Connectivity Optimized Nested Graph Networks for Crystal Structures.

Robin Ruff, Patrick Reiser, Jan Stühmer, Pascal Friederich

CoRR, 2023

Amortised Invariance Learning for Contrastive Self-Supervision.

Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales

CoRR, 2023

Learning Where and When to Reason in Neuro-Symbolic Inference.

Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Amortised Invariance Learning for Contrastive Self-Supervision.

Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

HyperInvariances: Amortizing Invariance Learning.

Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales

CoRR, 2022

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference.

Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

H2O: Two Hands Manipulating Objects for First Person Interaction Recognition.

Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, Marc Pollefeys

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

HoloLens 2 Research Mode as a Tool for Computer Vision Research.

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

CoRR, 2020

Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations.

Jan Stuehmer, Richard E. Turner, Sebastian Nowozin

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Disentangling Interpretable Generative Parameters of Random and Real-World Graphs.

Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz

CoRR, 2019

2018

Variational Inference for Data-Efficient Model Learning in POMDPs.

Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann

CoRR, 2018

2016

A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction.

Jan Stühmer

PhD thesis, 2016

2015

Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations.

Jan Stühmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A Fast Projection Method for Connectivity Constraints in Image Segmentation.

Jan Stühmer, Daniel Cremers

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction.

Martin Ralf Oswald, Jan Stühmer, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2014, 2014

Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes.

Rudolph Triebel, Jan Stühmer, Mohamed Souiai, Daniel Cremers

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs.

Jan Stühmer, Peter Schröder, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2013

2010

Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera.

Jan Stühmer, Stefan Gumhold, Daniel Cremers

Proceedings of the Trends and Topics in Computer Vision, 2010

Real-Time Dense Geometry from a Handheld Camera.

Jan Stühmer, Stefan Gumhold, Daniel Cremers

Proceedings of the Pattern Recognition, 2010