| 2025 | CVPR | T-FAKE: Synthesizing Thermal Images for Facial Landmarking. | Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl |
| 2025 | ICLR | Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. | Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl |
| 2025 | ICLR | PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. | Sgolne Tiffany Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl |
| 2025 | ICML | Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov-Wasserstein Marginal Penalization. | Florian Beier, Moritz Piening, Robert Beinert, Gabriele Steidl |
| 2024 | ICLR | Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. | Paul Hagemann, Johannes Hertrich, Fabian Altekrger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl |
| 2023 | ICML | Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. | Fabian Altekrger, Johannes Hertrich, Gabriele Steidl |
| 2020 | EDBT | Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs. | Diego Havenstein, Peter Lysakovski, Norman May, Guido Moerkotte, Gabriele Steidl |
| 2016 | ICIP | Hue-preserving perceptual contrast enhancement. | Fabien Pierre, Jean-Franois Aujol, Aurlie Bugeau, Gabriele Steidl, Vinh-Thong Ta |
| 2006 | ECCV | From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage. | Martin Welk, Joachim Weickert, Gabriele Steidl |
| 2003 | CAIP | Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. | Julia Neumann, Christoph Schnrr, Gabriele Steidl |