Hu SX, Li D, Stühmer J, Kim M, Hospedales TM (2022). Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9068–9077 1515
Negri MM, Fortuin V, Stühmer J (2022). Meta-learning richer priors for VAEs, In Fourth Symposium on Advances in Approximate Bayesian Inference 1516
2021
Kwon T, Tekin B, Stühmer J, Bogo F, Pollefeys M (2021). H2o: Two hands manipulating objects for first person interaction recognition, In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 10138–10148 1517
2020
Stühmer J, Turner R, Nowozin S (2020). Independent subspace analysis for unsupervised learning of disentangled representations, In International Conference on Artificial Intelligence and Statistics, pp. 1200–1210 1518
2019
Stoehr N, Yilmaz E, Brockschmidt M, Stühmer J (2019). Disentangling interpretable generative parameters of random and real-world graphs, In NeurIPS Workshop on Graph Representation Learning 1519
2017
Krieg M, Stühmer J, Cueva JG, Fetter R, Spilker K, Cremers D, Shen K, Dunn AR, Goodman MB (2017). Genetic defects in β-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling, Elife 6:e20172 1520
Krieg M, Stuehmer J, Cueva JG, Fetter R, Spilker K, Cremers D, Shen K, Dunn AR, Goodman MB (2017). Tau like proteins reduce torque generation in microtubule bundles, Biophysical Journal 112(3):29a–30a 1526
2015
Stühmer J, Cremers D (2015). A fast projection method for connectivity constraints in image segmentation, In International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 183–196 1521
Stuhmer J, Nowozin S, Fitzgibbon A, Szeliski R, Perry T, Acharya S, Cremers D, Shotton J (2015). Model-based tracking at 300hz using raw time-of-flight observations, In Proceedings of the IEEE International Conference on Computer Vision, pp. 3577–3585 1527
2014
Oswald MR, Stühmer J, Cremers D (2014). Generalized connectivity constraints for spatio-temporal 3d reconstruction, In European Conference on Computer Vision, pp. 32–46 1522
Triebel R, Stühmer J, Souiai M, Cremers D (2014). Active online learning for interactive segmentation using sparse Gaussian processes, In German Conference on Pattern Recognition, pp. 641–652 1528
2013
Stühmer J, Schroder P, Cremers D (2013). Tree shape priors with connectivity constraints using convex relaxation on general graphs, In Proceedings of the IEEE International conference on Computer Vision, pp. 2336–2343 1523
2010
Stühmer J, Gumhold S, Cremers D (2010). Real-Time Dense Geometry from a Handheld Camera, In Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings, vol. 6376, p. 11 1524
Stühmer J, Gumhold S, Cremers D (2010). Parallel generalized thresholding scheme for live dense geometry from a handheld camera, In Proceedings of the 11th European conference on Trends and Topics in Computer Vision-Volume Part II, pp. 450–462 1525
Arboleda-Estudillo Y, Krieg M, Stühmer J, Licata NA, Muller DJ, Heisenberg C (2010). Movement directionality in collective migration of germ layer progenitors, Current Biology 20(2):161–169 1529
2009
Carvalho L, Stühmer J, Bois JS, Kalaidzidis Y, Lecaudey V, Heisenberg C (2009). Control of convergent yolk syncytial layer nuclear movement in zebrafish1530
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