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Martin Kiefel
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2010 – 2019
- 2019
- [c14]Anne S. Wannenwetsch
, Martin Kiefel
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. GCPR 2019: 345-359 - [c13]Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch:
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. ICCV 2019: 1527-1537 - [i6]Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth:
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. CoRR abs/1909.03677 (2019) - 2017
- [b1]Martin Kiefel:
Tractable Structured Prediction using the Permutohedral Lattice. ETH Zurich, Zürich, Switzerland, 2017 - [c12]Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CVPR 2017: 4704-4713 - [i5]Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CoRR abs/1701.02468 (2017) - 2016
- [c11]Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger:
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer. CVPR 2016: 3688-3697 - [c10]Varun Jampani, Martin Kiefel, Peter V. Gehler:
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. CVPR 2016: 4452-4461 - [c9]Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler:
Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) 2016: 597-613 - [c8]Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler:
Barrista: Caffe Well-Served. ACM Multimedia 2016: 1210-1213 - 2015
- [c7]Martin Kiefel, Varun Jampani, Peter V. Gehler:
Permutohedral Lattice CNNs. ICLR (Workshop) 2015 - [i4]Martin Kiefel, Varun Jampani, Peter V. Gehler:
Sparse Convolutional Networks using the Permutohedral Lattice. CoRR abs/1503.04949 (2015) - [i3]Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger:
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer. CoRR abs/1511.03240 (2015) - [i2]Raghudeep Gadde, Varun Jampani, Martin Kiefel, Peter V. Gehler:
Superpixel Convolutional Networks using Bilateral Inceptions. CoRR abs/1511.06739 (2015) - 2014
- [c6]Martin Kiefel, Christian J. Schuler, Philipp Hennig:
Probabilistic Progress Bars. GCPR 2014: 331-341 - [c5]Martin Kiefel, Peter Vincent Gehler:
Human Pose Estimation with Fields of Parts. ECCV (5) 2014: 331-346 - 2013
- [j1]Philipp Hennig, Martin Kiefel:
Quasi-Newton methods: a new direction. J. Mach. Learn. Res. 14(1): 843-865 (2013) - 2012
- [c4]Philipp Hennig, Martin Kiefel:
Quasi-Newton Methods: A New Direction. ICML 2012 - [i1]Philipp Hennig, Martin Kiefel:
Quasi-Newton Methods: A New Direction. CoRR abs/1206.4602 (2012) - 2011
- [c3]Achim Hekler, Martin Kiefel, Uwe D. Hanebeck:
Stochastic nonlinear open-loop feedback control with guaranteed error bounds using compactly supported wavelets. CDC/ECC 2011: 7697-7702 - [c2]Peter V. Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf:
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. NIPS 2011: 765-773 - 2010
- [c1]Achim Hekler, Martin Kiefel, Uwe D. Hanebeck:
Nonlinear Bayesian estimation with compactly supported wavelets. CDC 2010: 5701-5706
Coauthor Index
aka: Peter Vincent Gehler
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