Nonlinear Bayesian estimation with compactly supported wavelets. - Achim Hekler; Martin Kiefel; Uwe D. Hanebeck (CDC, 2010)

Stochastic nonlinear open-loop feedback control with guaranteed error bounds using compactly supported wavelets. - Achim Hekler; Martin Kiefel; Uwe D. Hanebeck (CDC/ECC, 2011)

Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. - Peter V. Gehler; Carsten Rother; Martin Kiefel; Lumin Zhang; Bernhard Schölkopf (NIPS, 2011)

Quasi-Newton methods: a new direction. - Philipp Hennig; Martin Kiefel (J. Mach. Learn. Res., 2013)

Probabilistic Progress Bars. - Martin Kiefel; Christian J. Schuler; Philipp Hennig (GCPR, 2014)

Human Pose Estimation with Fields of Parts. - Martin Kiefel; Peter Vincent Gehler (ECCV (5), 2014)

Superpixel Convolutional Networks using Bilateral Inceptions. - Raghudeep Gadde; Varun Jampani; Martin Kiefel; Peter V. Gehler (CoRR, 2015)

Permutohedral Lattice CNNs. - Martin Kiefel; Varun Jampani; Peter V. Gehler (ICLR (Workshop), 2015)

Sparse Convolutional Networks using the Permutohedral Lattice. - Martin Kiefel; Varun Jampani; Peter V. Gehler (CoRR, 2015)

Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. - Varun Jampani; Martin Kiefel; Peter V. Gehler (CVPR, 2016)

Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer. - Jun Xie; Martin Kiefel; Ming-Ting Sun; Andreas Geiger 001 (CVPR, 2016)

Superpixel Convolutional Networks Using Bilateral Inceptions. - Raghudeep Gadde; Varun Jampani; Martin Kiefel; Daniel Kappler; Peter V. Gehler (ECCV (1), 2016)

Barrista: Caffe Well-Served. - Christoph Lassner; Daniel Kappler; Martin Kiefel; Peter V. Gehler (ACM Multimedia, 2016)

Unite the People: Closing the Loop Between 3D and 2D Human Representations. - Christoph Lassner; Javier Romero 002; Martin Kiefel; Federica Bogo; Michael J. Black; Peter V. Gehler (CVPR, 2017)

Tractable Structured Prediction using the Permutohedral Lattice. - Martin Kiefel (2017)

Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. - Anne S. Wannenwetsch; Martin Kiefel; Peter V. Gehler; Stefan Roth 001 (GCPR, 2019)

Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. - Stepan Tulyakov; François Fleuret; Martin Kiefel; Peter V. Gehler; Michael Hirsch (ICCV, 2019)